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ImpactMojo 101 Series · Free Forever
Public
Health
101
Population Health, Prevention & Health Systems — a Foundational Course for Development & Health Practitioners in South Asia
Research-BackedIndia Focus100 SlidesFree Access
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What We Cover
01
What Public Health Is
Slides 3–10
02
Social Determinants of Health
Slides 11–19
03
Epidemiology Basics
Slides 20–28
04
Measuring Population Health
Slides 29–38
05
Communicable Disease & Immunisation
Slides 39–47
06
Non-Communicable Diseases
Slides 48–56
07
Maternal, Newborn, Child Health & Nutrition
Slides 57–65
08
Health Systems
Slides 66–74
09
India's Health System
Slides 75–83
10
Health Equity & Global Health
Slides 84–91
11
Prevention in Practice & Further Reading
Slides 92–99
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01
Section One
What Public Health Is
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Health is more than the absence of disease
Health is a state of complete physical, mental and social well-being, and not merely the absence of disease or infirmity.
— Constitution of the World Health Organization, 1946
Public health takes that definition and applies it not to one patient but to whole populations — villages, districts, nations. Its unit of concern is the group, not the individual.
A clinician asks 'why is this patient ill?'. Public health asks 'why are these people ill, and how do we stop the next thousand from falling ill?'
WHO’s 1946 definitionCriticism it attracts
"Complete… well-being"Nobody is ever completely well — it defines health as unattainable
Includes mental and socialIts lasting contribution
"Not merely the absence of disease"The half that changed policy
Unchanged since 1946Predates chronic disease and ageing as the main burden
The word "complete" is the contested one. Under it, a person managing diabetes well for thirty years is permanently unhealthy, which is not how they or their clinician would describe it.
The proposed alternative — health as the ability to adapt and self-manage — fits chronic disease better. Cite the 1946 definition, and know the argument against it.
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Population health, not one patient at a time
Public health
The science and art of preventing disease, prolonging life and promoting health through the organised efforts of society — acting on populations and the conditions that shape their health.
Population health
The health outcomes of a group of people and the distribution of those outcomes within the group — including the gaps between rich and poor.
"Organised efforts of society" meansNot
Law and regulationAdvice to individuals
Infrastructure — water, sanitation, roadsA clinic
Collective financingPersonal responsibility
Surveillance and responseWaiting for people to present
Acheson’s definition puts "organised efforts of society" at the centre deliberately. Public health is a collective enterprise, and framing it as individual behaviour change concedes most of its leverage.
This is why public health is politically contested in a way clinical medicine is not: almost every effective measure constrains someone’s freedom, revenue or convenience.
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Clinical care vs the public health approach
Clinical / curative carePublic health
UnitThe individual patientThe population
TimingAfter illness appearsBefore illness appears (mostly)
FocusDiagnosis & treatmentPrevention & promotion
SettingHospital, clinicCommunity, policy, environment
Measure of successPatient recoversFewer people fall ill
They are partners, not rivals. A strong health system needs both the doctor who treats the case and the system that prevents the next outbreak.
Clinical carePublic health
Success looks likeThis patient recoversFewer people fall ill
Visible?Yes — a grateful patientNo — nothing happens
Funding followsVisible needPolitical will
AttributionClearAlmost impossible
The invisibility problem explains most of public health’s funding difficulty. A hospital that saves a life produces a story; an outbreak prevented produces nothing anyone can point to.
It also makes public health politically fragile: a programme that succeeds completely looks unnecessary, which is how immunisation budgets get cut in the decade after a disease disappears.
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The cliff and the ambulance
An old parable: people keep falling off a cliff, so the village stations an ambulance at the bottom. Public health asks why we do not build a fence at the top. Prevention is the fence.
01
Treat the sick (ambulance at the bottom)
02
Detect early (catch them on the way down)
03
Prevent exposure (a fence at the top)
04
Change the conditions (move the path away from the edge)
Cliff parableReal equivalent
Ambulance at the bottomEmergency and curative care
Fence at the topPrevention and regulation
Asking why people fallEpidemiology
Asking who built the path thereSocial determinants
The parable is usually told as fence-versus-ambulance and both are needed. The real argument is about proportion: health budgets across South Asia go overwhelmingly to the ambulance.
The last row is the extension that matters. Fencing the cliff helps; asking why the only road to the market runs along its edge is what changes the number of people exposed at all.
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Public health works upstream
Downstream (clinical)
  • Treat the diarrhoea case
  • Prescribe ORS & antibiotics
  • Rehydrate the dehydrated child
Upstream (public health)
  • Safe drinking water & sanitation
  • Handwashing & hygiene promotion
  • Rotavirus vaccine in the schedule
The further upstream you act, the more people you protect — and usually the cheaper it is per life saved.
DownstreamUpstreamCost per case averted
Treat the diarrhoea casePiped water and sanitationFar lower upstream
Prescribe ORSRotavirus vaccinationLower upstream
Rehydrate the childHandwashing promotionLower upstream
Treat pneumoniaClean cooking fuelLower upstream
Upstream is almost always cheaper per case averted and almost always harder to fund, because the benefit is diffuse, delayed and belongs to no single ministry’s budget line.
Downstream work remains necessary. The argument is about the balance, not about abandoning treatment — the fence and the ambulance are both needed, and only one of them is usually built.
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What public health systems actually do
  • Assessment: monitor health, detect outbreaks, diagnose problems
  • Policy: develop laws and plans that protect health
  • Assurance: ensure services, a competent workforce and access
  • Promotion: inform and empower people about health
  • Equity: work so that everyone has a fair chance at health
Core functionIn practiceWeak when
AssessmentSurveillance, outbreak detectionData collected and unread
Policy developmentLaws, plans, standardsNo enforcement capacity
AssuranceServices, workforce, accessPosts sanctioned, unfilled
PromotionInformation, community actionReduced to poster campaigns
Assurance is the function that fails quietly. A sanctioned post is counted as capacity in every plan, and a sanctioned post with nobody in it delivers nothing.
Assessment without action is the other common failure. Surveillance systems that report reliably into databases nobody uses cost money and prevent nothing.
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Prevention is one of the best buys in development
Immunisation
among the most cost-effective health investments known
WHO
Water & sanitation
every rupee returns several in averted illness & lost work
Tobacco control
taxes and bans save lives at almost no cost to the state
Returns are illustrative of a robust pattern: prevention typically costs far less per life-year saved than late-stage treatment.
InterventionWhy it is a "best buy"
Childhood immunisationVery low cost per DALY averted; lifelong protection
Water and sanitationPrevents diarrhoea, worms and stunting together
Tobacco taxationRaises revenue while cutting consumption
Salt reduction in the food supplyPopulation-wide, needs no individual behaviour change
The last two require no one to do anything differently, which is what makes them robust. Interventions depending on sustained individual behaviour change decay when attention moves elsewhere.
Cost-effectiveness rankings are conditional on setting. Bed nets are an excellent buy where malaria is endemic and a poor one where it is not — check the local burden before importing a ranking.
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02
Section Two
Social Determinants of Health
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Most of what makes us healthy lies outside the clinic
Where you are born, grow, live, work and age shapes your health far more than the medicines you take. These conditions are the social determinants of health.
Social determinants of health (SDH)
The non-medical conditions — income, education, housing, water, sanitation, caste, gender, environment — that shape health and drive the unfair gaps between groups.
DeterminantActs on health through
IncomeFood, housing, care-seeking, stress
EducationHealth literacy, income, agency
Housing and waterInfection exposure directly
WorkInjury risk, exposure, income, control
Social positionChronic stress and access, at every level
Estimates of how much of health is determined outside the clinic vary, and every one puts medical care in the minority. That is the finding, whatever the precise share.
It does not mean medical care is unimportant. It means a health ministry acting alone has limited leverage, which is the argument for health in all policies rather than for spending less on hospitals.
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The Dahlgren–Whitehead model
The classic 'rainbow' model places the individual at the centre and wraps successive layers of influence around them — each layer something policy can act on.
Age, sex & constitutionIndividual lifestyleSocial & community networksLiving & working conditionsGeneral socio-economic, cultural & environmental conditions
Rainbow layerPolicy lever
Individual lifestyleEducation, taxation, defaults
Living and working conditionsHousing, water, work
Socio-economic conditionsMacroeconomic and fiscal policy
Dahlgren and Whitehead drew this in 1991 to make one argument: only the innermost ring is fixed; every other layer is something policy can change.
Health promotion aimed only at the second ring — telling people to eat better and exercise — puts responsibility on individuals for conditions set three rings out.
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Your postcode can matter more than your genetic code
Two children born the same day in the same city can differ by many years in life expectancy — not because of their genes, but because of the neighbourhood, water, schooling and income they are born into.
A poor child in a low-income district faces higher infant mortality, more stunting and shorter life expectancy than a richer child a few kilometres away. The gap is made, not given.
Two children, same cityDiffer by
Water supplyPiped versus shared standpipe
SanitationHousehold toilet versus open defecation
Cooking fuelLPG versus biomass
SchoolCompletion versus dropout
Life expectancySometimes by many years
None of these differences is genetic and all of them are addressable. That is the point of the postcode comparison: the gap is produced by decisions, so it can be closed by decisions.
Life-expectancy gaps between neighbourhoods within a single Indian city have been documented repeatedly. The gap inside a city is often larger than the gap between countries at similar income.
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Marmot: health follows a social gradient
Sir Michael Marmot's work showed health is not simply 'rich = healthy, poor = sick'. It runs as a gradient: at every step down the social ladder, health gets a little worse — all the way up.
Why treat people and send them back to the conditions that made them sick?
— Sir Michael Marmot
Whitehall findingsWhat they overturned
Health worsens at every step down the ladder"Poverty causes ill health" as the whole story
Senior civil servants outlive junior onesThe idea that only absolute deprivation matters
Control at work predicts heart diseaseStress as an executive problem
The gradient persists with healthcare access equalAccess alone explaining the gap
All the Whitehall participants were employed, housed and covered by the NHS. The gradient appeared anyway, which is why it is evidence about hierarchy rather than about deprivation.
The practical consequence is that targeting only the poorest leaves most of the burden untouched. Marmot’s proposed answer is proportionate universalism — universal action, scaled by need.
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Health inequality vs health inequity
Inequality
Any difference in health between groups. Some are natural — the old are frailer than the young.
Inequity
Differences that are avoidable, unfair and unjust — a Dalit child stunted because of caste and poverty. These are the public-health target.
Public health is not only about lowering averages — it is about closing unjust gaps.
Difference in healthInequality or inequity?
Older people are frailerInequality — not unjust
Men and women differ in some conditionsInequality, largely biological
Dalit children more stuntedInequity — avoidable and unfair
Rural areas have fewer doctorsInequity — a policy choice
The distinction carries a claim, not a description. Calling a gap inequitable asserts it is avoidable and unfair, which is a normative judgement and should be argued rather than assumed.
It matters because inequity implies an obligation. An inequality is a fact to describe; an inequity is a failure with someone responsible for it.
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Determinants that bite hardest in the region
DeterminantWhy it matters here
SanitationOpen defecation drives diarrhoea, worms and stunting
Clean cooking fuelBiomass smoke fuels respiratory disease in women
Caste & tribeDalit & Adivasi communities face worse outcomes
GenderSon preference, anaemia, unpaid care work, mobility
Air qualityAmong the world's most polluted air in many cities
Income & informalityMost workers lack sick pay or health cover
DeterminantMechanismLever
SanitationDiarrhoea, worms, stuntingToilets used, not only built
Clean cooking fuelRespiratory disease in women and childrenLPG access and affordability
CasteAccess and treatment on arrivalEnforcement; facility accountability
Air qualityCardiovascular and respiratory diseaseEmission standards
UndernutritionSusceptibility to everythingFood, WASH, women’s status
The sanitation row is where India’s largest programme succeeded on construction and lagged on use. Health benefit follows use, so a coverage figure counting toilets built overstates the effect.
Air quality has moved from a Delhi-winter story to a year-round national one. It is now among the largest attributable risk factors for mortality in India by most estimates.
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Treat the causes of the causes
01
OUTCOME: a child has diarrhoea
02
CAUSE: contaminated water
03
CAUSE OF THE CAUSE: no piped supply or toilet
04
ROOT: poverty, weak local governance, exclusion
Marmot's phrase: behind the medical cause sits a cause of the cause. Real prevention works on those roots.
LevelQuestionWho acts
OutcomeThe child has diarrhoeaA clinician
CauseContaminated waterWater supply
Cause of the causeNo piped supply or toiletLocal government, budget
RootPoverty, exclusion, weak governancePolitics
Each level up is cheaper per case and harder to act on. That trade-off is why public health keeps arguing about where to intervene, and why the argument is political rather than technical.
Stop climbing at the level where you can actually act. Naming poverty as the root is true and, for a district health officer, not actionable — the toilet and the pipe are.
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Health in all policies
Because health is made outside the clinic, improving it needs more than the health ministry. Roads, water, schools, food, housing and jobs are all health policy — the idea of health in all policies.
A new toilet, a girls' school, a clean-fuel subsidy or a minimum wage can do more for health than a new hospital wing.
SectorHealth effect
Roads and transportInjuries; air quality; physical activity
Water and sanitationDiarrhoea, stunting, worms
Education, especially girls’Child survival, nutrition, fertility
Food and agricultureDiet quality; the whole NCD trajectory
HousingRespiratory disease; heat; injury
Health in all policies is an argument about where health decisions are actually taken. A transport ministry setting speed limits makes more difference to injury deaths than any trauma programme.
It also requires a mechanism. Without health impact assessment or a cross-ministry body, "health in all policies" is a slogan that changes no decision in any other ministry.
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03
Section Three
Epidemiology Basics
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Epidemiology is public health's detective science
Epidemiology
The study of how often diseases and health states occur in populations, where, in whom, and why — and how to control them. It is the basic science of public health.
Epidemiology answers the classic questions: who, where, when (descriptive) and why and how (analytic). From John Snow's 1854 cholera map onward, it has driven prevention.
Epidemiology asksProducing
How much disease, and where?Descriptive epidemiology
In whom?Risk-group identification
Why?Analytic epidemiology
What works?Intervention studies
Is it working now?Surveillance and evaluation
Descriptive epidemiology — person, place, time — answers most operational questions and needs no sophisticated method. Knowing who is affected and where is usually enough to act.
It is also the step most often skipped in a hurry. Jumping to a cause before describing the distribution is how outbreak investigations settle on the wrong source.
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Incidence vs prevalence
Incidence
NEW cases arising over a period. Measures the risk of getting the disease — the speed of the tap filling the sink.
Prevalence
ALL existing cases at a point in time. Measures the burden — how much water is in the sink right now.
A long-lasting disease like diabetes has high prevalence even with modest incidence; a quick illness like flu can have high incidence but low prevalence at any instant.
IncidencePrevalence
CountsNew cases in a periodAll existing cases now
MeasuresRisk of getting itBurden on the system
Rises whenTransmission increasesPeople live longer with it
Falls whenPrevention worksPeople recover or die
A better treatment raises prevalence while lowering deaths — more people are alive with the condition. Reading that rise as a worsening epidemic is a common and consequential error.
Prevalence is roughly incidence multiplied by duration. That single relationship explains most of the confusion between them and is worth committing to memory.
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Incidence and prevalence, side by side
Incidence
= new cases in a period ÷ population at risk — e.g. new TB cases per 100,000 per year
Prevalence
= all current cases ÷ total population — e.g. % of adults living with diabetes today
Mixing them up misleads. A fall in prevalence could mean fewer new cases — or simply that more patients died. Always ask which one a figure is.
QuestionMeasure
How fast is TB spreading?Incidence
How many people need treatment now?Prevalence
Is the programme preventing new cases?Incidence
How many beds and drugs do we need?Prevalence
Prevalence plans services; incidence evaluates prevention. Using one for the other is the practical consequence of confusing them, and it produces both wrong budgets and wrong conclusions.
For chronic conditions the gap is enormous. Diabetes incidence is a small annual number and diabetes prevalence is a very large stock, because people live with it for decades.
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Rate, ratio and proportion
TermWhat it isExample
ProportionPart out of a whole (the part is in the whole)% of children fully immunised
RatioOne quantity relative to anotherSex ratio: females per 1,000 males
RateEvents per population per unit timeDeaths per 1,000 per year
Always demand the denominator: per 1,000 people, per 100,000 live births, per year. A bare count cannot be compared.
TermNumerator isExample
ProportionPart of the denominator% of children immunised
RatioNot part of itSex ratio: females per 1,000 males
RateEvents, over timeTB cases per 100,000 per year
The distinction matters because it decides what a comparison means. A rate can be compared across populations of different sizes; a raw count cannot, and a ratio needs both quantities defined.
"Maternal mortality ratio" is a ratio because its denominator is live births, not the population at risk. That naming is a historical accident and a standing source of confusion.
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The epidemiological triad
Classic model of infectious disease: an outbreak needs an agent, a susceptible host and a favourable environment — all three meeting through a vector or route.
AGENTHOSTENVIRON-MENT
Break any side of the triangle — kill the agent, protect the host, fix the environment — and transmission stops.
Triad elementInterventionExample
AgentKill or neutralise itChlorination; antibiotics
HostMake them resistantVaccination; nutrition
EnvironmentChange the conditionsSanitation; drainage; nets
Environmental intervention is usually the most durable of the four. A drained breeding site keeps working without anyone remembering to do anything; a bed net has to be used every night.
The triad is a model for infectious disease and does not transfer to NCDs, where the causes are behavioural, commercial and environmental rather than an agent meeting a host.
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Investigating an outbreak, step by step
01
Confirm the outbreak & the diagnosis
02
Define a case — person, place, time
03
Find cases & describe (epidemic curve, map)
04
Form & test a hypothesis on the source
05
Control measures & communicate
John Snow did this in 1854: he mapped cholera deaths to the Broad Street pump and had the handle removed — epidemiology before anyone knew the germ.
StepWhat goes wrong
Confirm the outbreakBetter detection mistaken for a real rise
Define a caseA loose definition swamps you with non-cases
Describe by person, place, timeThe epidemic curve is skipped
Test a hypothesisThe first plausible source is accepted
Control and communicateSilence, so rumour fills the gap
The case definition is the decision everything else rests on. Too broad and the signal disappears in noise; too narrow and you miss the outbreak you are investigating.
The epidemic curve is the cheapest analysis available and often identifies the source by its shape alone — a single sharp peak means a point source, a long plateau means person-to-person spread.
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R0: how contagious is it?
Basic reproduction number (R0)
The average number of new infections one case causes in a fully susceptible population. R0 > 1: the epidemic grows. R0 < 1: it dies out.
Measles
very high R0 — among the most contagious diseases known
COVID-19
moderate R0, varying by variant
R0 < 1
the target — each case infects fewer than one other
R0 values are illustrative ranges — the key idea is the threshold at 1, not a precise figure.
DiseaseApproximate R₀Herd immunity threshold
MeaslesVery high — among the highest knownAround 95%
Diphtheria, rubellaHighAround 85%
PolioModerate to highAround 80–85%
Seasonal influenzaLowMuch lower
Measles requires roughly 95% coverage, which is why it is always the first disease to return when immunisation slips. It is the sensitive indicator of a programme’s health.
R₀ is not a fixed property of a pathogen. It depends on contact patterns, density and behaviour, so the same virus has different R₀ in a dense city and a scattered rural block.
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How epidemiologists gather evidence
DesignWhat it doesStrength
Cross-sectionalSnapshot of a populationFast, gives prevalence
Case-controlCompare sick vs well, look backGood for rare disease
CohortFollow exposed vs unexposed forwardGives incidence & risk
Randomised trialRandomly assign the interventionStrongest for causation
The design decides what you can claim. Only well-run trials and strong cohorts let you talk confidently about cause.
DesignGivesMain weakness
Cross-sectionalPrevalence, fastCannot establish time order
Case-controlOdds ratios; good for rare diseaseRecall and selection bias
CohortIncidence and relative riskSlow, expensive, attrition
TrialCausal effectCost; sometimes unethical
Case-control studies are efficient and fragile. They ask people to recall past exposures after they are ill, and illness changes recall — which is why they are best for rare diseases with objective exposure records.
The Bradford Hill considerations — strength, consistency, temporality, dose-response, plausibility — are the standard way to weigh whether an observed association is causal.
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04
Section Four
Measuring Population Health
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You cannot manage what you do not measure
To act on a population's health you must first count it: how many are born, how many die, of what, at what age. These vital statistics are the dashboard of public health.
  • Mortality: who dies, when and from what
  • Morbidity: who is ill, and with what
  • Survival: how long people live and in what health
Vital statisticSource in IndiaKnown gap
Births and deathsCivil Registration SystemRegistration is uneven
Mortality ratesSample Registration SystemLags by years; sampled
Cause of deathMedical certification; verbal autopsyMost deaths are uncertified
MorbidityNFHS, NSS, HMISSelf-reported; facility-biased
Most deaths in India occur outside a facility and are never medically certified, so national cause-of-death data rests heavily on verbal autopsy and modelling rather than direct measurement.
That is why disease-burden estimates carry wide uncertainty intervals and why they are revised substantially between rounds. Treat them as estimates, not counts.
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The key mortality indicators
IndicatorMeaningPer
IMRInfant deaths under 1 yearper 1,000 live births
U5MRDeaths under 5 yearsper 1,000 live births
NMRNeonatal deaths (first 28 days)per 1,000 live births
MMRMaternal deathsper 100,000 live births
CDRCrude death rate (all ages)per 1,000 population
Note the denominators differ — IMR and U5MR per 1,000 births, MMR per 100,000 births because maternal death is rarer. Mixing the bases is a common error.
IndicatorIndia, roughly (SRS)Signals
IMRAround 27 per 1,000 live birthsOverall child survival
U5MRAround 31 per 1,000Includes post-infant deaths
NMRAround 20 per 1,000Now most of infant mortality
MMRAround 93 per 100,000Health system reach and quality
Neonatal mortality is now the majority of infant deaths in India, which changes what a child-survival programme should do: the remaining gains are in the first 28 days, not in the first five years generally.
Figures are from SRS bulletins and move each round. Check the current bulletin rather than quoting from memory — and note the state spread, which is much wider than the national average suggests.
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India's infant and under-five mortality have fallen sharply
India IMR & U5MR decline (per 1,000 live births)
Trend per SRS; values illustrative/rounded
The downward trend is well established (SRS); plotted values are rounded/illustrative. India's child mortality has fallen substantially over three decades — a major public-health success still in progress.
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Maternal deaths: falling, but uneven
India maternal mortality ratio (per 100,000 live births)
Trend per SRS Special Bulletins; values illustrative/rounded
Direction is solid (SRS); figures are rounded for teaching. India has cut MMR by more than half this century — yet state gaps remain wide, with southern states far ahead of several northern ones.
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Illness, not just death
Mortality misses the living burden — the disabled, the chronically ill, the depressed. Morbidity measures sickness and disability, increasingly the larger share of suffering as people live longer.
Incidence
new illness arising — risk of falling ill
Prevalence
all illness present — the burden to care for
MeasureCapturesMisses
MortalityWho dies and whenEveryone living with illness
MorbidityIllness and disabilityHow bad each condition is
DALYsDeath and disability combinedWellbeing beyond health
As populations age, mortality becomes a worse summary of health. Depression, back pain and vision loss cause enormous burden and almost no deaths, so a mortality-led system will under-fund them permanently.
This is the practical case for DALYs despite their contested weights: without a common measure, non-fatal conditions lose every budget argument to fatal ones.
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Life expectancy: a summary of a population's health
Life expectancy at birth is the average years a newborn would live if current death rates held. It is a single, powerful summary of how healthy a population is.
India life expectancy at birth (years)
Trend per SRS / UN; values illustrative/rounded
Trend per SRS / UN; figures rounded. India's life expectancy has roughly doubled since Independence to about 70 — a great gain of the public-health era, though still below the global frontier.
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What kills, and what disables, differ
The biggest killers are not always the biggest burdens. A disease that disables for decades without killing can cost more healthy life than one that kills quickly — which is why we need a measure that captures both.
Counts deaths
Mortality data ranks the fatal — heart disease, stroke, respiratory illness — but is blind to suffering that does not kill.
Counts burden
Burden data adds the disabling — mental illness, anaemia, musculoskeletal pain — that mortality alone misses entirely.
ConditionHigh mortality?High disability burden?
Ischaemic heart diseaseYesModerate
DepressionNoVery high
Road injuryYesHigh — and in the young
Back and neck painNoVery high
Neonatal conditionsYesVery high — many years lost
The top killers and the top burdens are different lists, and which one a country plans from determines whether mental health and musculoskeletal conditions get any resources at all.
Deaths in the young count for far more DALYs than deaths in the old, because YLL is measured against remaining life expectancy. That is a deliberate value choice built into the metric.
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The DALY: combining death and disability
Disability-Adjusted Life Year (DALY)
One DALY is one lost year of healthy life. DALYs add Years of Life Lost to early death (YLL) and Years Lived with Disability (YLD) into one measure of total disease burden.
DALYs let us compare very different problems — a fatal disease and a disabling-but-survivable one — on the same scale, to set priorities fairly.
DALY componentMeasuresDriven by
YLLYears lost to early deathAge at death against reference life expectancy
YLDYears lived with disabilityDuration × disability weight
DALYTotal healthy years lostBoth
Disability weights come from population surveys, not from people living with the conditions — a point disability-rights scholars press hard, since the metric assigns lower value to life with impairment.
Use DALYs and hold the critique. What you should not do is present a DALY figure as a neutral measurement, because the weights are contested values expressed as numbers.
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The early-warning system
Surveillance
The ongoing, systematic collection, analysis and use of health data to detect problems early and act — 'information for action'.
India's systems
  • IDSP — integrated disease surveillance
  • HMIS — facility service data
  • Civil registration of births & deaths
Why it matters
Catch an outbreak in week one, not month three. Surveillance is the difference between a contained cluster and an epidemic.
India’s systemCollectsLimitation
IDSP / IHIPOutbreak signals from facilitiesDepends on reporting discipline
HMISFacility service delivery dataCounts services, not outcomes
SRSBirths and deaths, sampledLags by years
CRSCivil registrationCause-of-death data is incomplete
Surveillance is only worth its cost if it triggers action. A system that collects reliably and reports into a database nobody reads is an expense rather than an early-warning system.
Reporting incentives distort HMIS in a predictable direction: what is monitored gets recorded generously. Triangulate against survey data before treating facility figures as coverage.
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05
Section Five
Communicable Disease & Immunisation
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The chain of infection
01
AGENT: the pathogen
02
RESERVOIR: where it lives
03
PORTAL OF EXIT: how it leaves
04
TRANSMISSION: how it travels
05
PORTAL OF ENTRY → SUSCEPTIBLE HOST
Prevention = breaking one link. Sanitation breaks transmission; vaccines protect the host; isolation removes the reservoir.
Link in the chainBreak it by
AgentTreatment; disinfection
ReservoirAnimal control; treating carriers
Portal of exitCovering coughs; safe disposal
TransmissionSanitation, vectors, ventilation, distance
Susceptible hostVaccination; nutrition
Breaking any single link stops transmission, which is the practical value of the model: you can choose the cheapest or most feasible link rather than attacking the pathogen directly.
Transmission is usually the cheapest link to break at population scale, and the host is the most durable. Sanitation and vaccination are the two great public-health interventions for exactly that reason.
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How infections spread
RouteExample diseasesKey barrier
Airborne / dropletTB, measles, COVID-19Ventilation, masks, vaccines
Faecal–oralCholera, typhoid, polioSafe water, sanitation
Vector-borneMalaria, dengue, kala-azarNets, spraying, source control
Blood / sexualHIV, hepatitis BSafe blood, condoms, PrEP
ContactScabies, trachomaHygiene, treatment
RouteBreak it byFailure mode
Airborne / dropletVentilation, masks, vaccinesCrowded, unventilated indoor spaces
Faecal–oralSafe water, sanitation, handwashingToilets built and unused
Vector-borneNets, spraying, source reductionStanding water nobody owns
BloodborneSafe injections, screened bloodReused equipment
The failure column is where programmes actually break. Toilet construction targets are met while use lags, and the health benefit follows use rather than construction.
Ventilation is the neglected airborne control. It costs almost nothing in most Indian buildings and was substantially under-emphasised in early COVID guidance across the region.
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Vaccines train immunity in advance
A vaccine shows the immune system a harmless piece or weakened form of a pathogen, so the body learns to fight the real thing before ever meeting it — protection without the disease.
Vaccination is among the most cost-effective of all health interventions and has saved more lives than almost any other measure in history (WHO).
Vaccine typeHow it worksNote
Live attenuatedWeakened pathogenStrong, lasting immunity; cold chain critical
InactivatedKilled pathogenSafer in immunocompromised; often needs boosters
Subunit / conjugateA piece of the pathogenVery safe; multiple doses
mRNAInstructions to make a pieceRapid to develop and manufacture
The cold chain is the operational constraint for most of these, and it is where immunisation programmes in hot, remote districts actually fail — not at the point of persuasion.
Vaccination is among the most cost-effective health interventions known and among the most vulnerable to complacency: coverage falls once a disease becomes rare enough to seem unimportant.
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Herd immunity protects those who cannot be vaccinated
Herd (population) immunity
When enough of a population is immune that the pathogen cannot find new hosts, transmission collapses — protecting even the unvaccinated.
The threshold rises with R0: the more contagious the disease, the higher the share that must be immune. A highly contagious disease like measles needs a very high coverage to hold the line.
This is why measles returns the moment coverage dips — its high R0 demands one of the highest immunity thresholds of any disease.
Herd immunityRequires
Threshold rises with R₀Measles needs about 95%, others less
Coverage measured locallyA national average can hide unprotected pockets
Sustained coverageIt is not achieved once and kept
A vaccine that blocks transmissionNot all do — some only prevent severe disease
The last row is the one COVID made widely understood. A vaccine that prevents illness without blocking transmission protects the vaccinated and does not generate herd immunity.
National coverage figures conceal clustering. Unvaccinated children are not scattered at random — they cluster by geography and community, which is exactly where outbreaks start.
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The Universal Immunisation Programme (UIP)
India's UIP is one of the largest public-health programmes in the world, providing free vaccines against a dozen-plus diseases. Mission Indradhanush targets the children it misses.
12+
diseases covered free under the UIP
MoHFW
~26 million
infants targeted each year
MoHFW (illustrative)
Polio-free
India certified polio-free in 2014 (WHO)
India’s UIPDetail
ScaleOne of the largest immunisation programmes in the world
VaccinesFree, against a dozen-plus diseases
Mission IndradhanushTargets districts and children the routine programme misses
AchievementPolio-free since 2014; maternal and neonatal tetanus eliminated
Remaining challengeThe last mile — clustered unvaccinated children
Polio-free certification in 2014 came after a campaign specifically designed around the last mile — migrant families, resistant communities, and the districts routine services never reached.
That is the general lesson: the final coverage points cost far more per child than the first eighty, and a programme funded on average cost will not reach them.
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Full immunisation coverage has improved
Children 12–23 months fully immunised, India (%)
NFHS rounds; values illustrative/rounded
Trend per NFHS; figures rounded for teaching. Coverage has risen markedly — but the last mile, the unreached child, is the hardest and where herd immunity is won or lost.
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TB, HIV and malaria in South Asia
DiseaseBurden noteIndia's response
TuberculosisIndia carries a large share of global TBNTEP; free diagnosis & treatment; elimination goal
HIV/AIDSConcentrated epidemic in key populationsNACO; free ART; targeted prevention
MalariaFalling, but endemic pockets remainNVBDCP; nets, spraying, prompt treatment
All three are treatable and preventable — the challenge is reach, adherence and stigma, not the absence of tools.
DiseaseIndia’s programmeCentral challenge
TuberculosisNTEP — free diagnosis and treatmentPrivate-sector cases going unnotified
HIVNACO — free ART, targeted preventionStigma and reaching key populations
MalariaNVBDCP — elimination frameworkResidual transmission in forested districts
Private-sector notification is TB control’s central operational problem in India. A large share of patients are first treated privately, and cases the programme cannot see are cases it cannot support to completion.
Incomplete treatment is what generates drug resistance, so a notification failure becomes a resistance problem years later — the same mechanism as antimicrobial resistance generally.
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Antimicrobial resistance: a slow-motion crisis
Overuse of antibiotics in people, animals and farming is breeding resistant bacteria. Antimicrobial resistance (AMR) threatens to make routine infections deadly again.
Public-health responses: prescribe only when needed, complete courses, control infection in hospitals, and curb antibiotics in livestock. AMR is everyone's problem.
AMR driverResponse
Antibiotics sold without prescriptionEnforcement of scheduling rules
Prescribing for viral illnessClinician training; patient expectation
Incomplete coursesSupport to completion, not just supply
Routine use in animal farmingRegulation of non-therapeutic use
Weak infection control in hospitalsHygiene, isolation, surveillance
The animal row is the one health programmes cannot reach. Non-therapeutic antibiotic use in livestock is a substantial driver, and it sits with agriculture ministries rather than health.
AMR is the clearest case for One Health: it is generated across humans, animals and the environment simultaneously, and an intervention in only one of the three is not a containment strategy.
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06
Section Six
Non-Communicable Diseases
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The epidemiological transition
Epidemiological transition
The long-run shift in a population's main health burden from infectious diseases and child deaths toward chronic, non-communicable diseases of later life.
As countries develop, the leading killers change from infections and malnutrition to non-communicable diseases (NCDs) — heart disease, diabetes, cancer.
StageMain burdenWhere South Asia sits
Pestilence and famineInfection, child deathLargely past
Receding pandemicsFalling infection, rising NCDsRecently passed
Degenerative diseaseNCDs dominateArriving now
Double burdenBoth at onceThe actual position
The textbook transition is sequential and South Asia’s is not. NCDs rose before communicable disease and undernutrition were resolved, so systems must run both agendas at once on one budget.
The double burden appears inside single households: a stunted child and a diabetic parent under one roof. Programmes designed for one condition routinely miss the other.
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South Asia faces both at once
Illustrative shift in share of deaths: communicable vs NCD
Illustrative of a well-established transition (WHO/GBD)
Shares are illustrative of the documented trend. South Asia carries a double burden: NCDs rise before infectious disease is conquered — straining systems built for the old battle.
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Diets and bodies are changing too
The nutrition transition — from traditional diets to processed food, sugar, salt and fat, with less physical activity — drives obesity and diabetes even as undernutrition persists.
Many South Asian households now hold both: a stunted child and an overweight adult under one roof. This is the double burden of malnutrition.
Nutrition transitionConsequence
Processed food becomes cheaper than freshDiet quality falls as incomes rise
Salt, sugar and trans-fat in the food supplyIndividual choice cannot avoid it
Physical activity fallsMechanised work and transport
Undernutrition persists alongsideThe double burden, in one household
South Asians develop diabetes and cardiovascular disease at lower body-mass indices and younger ages than European populations, which is why BMI thresholds imported unadjusted under-detect risk here.
The second row is the argument for supply-side regulation. Reformulating the food supply reaches everyone; telling people to eat less salt reaches whoever is already able to choose.
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Four diseases, shared roots
NCDNote for South Asia
Cardiovascular diseaseThe leading cause of death; strikes at younger ages here
DiabetesIndia has one of the world's largest diabetic populations
CancerTobacco-linked oral cancer is especially common
Chronic respiratory diseaseDriven by air pollution & biomass smoke
Different diseases, but they share a small set of modifiable risk factors — which is what makes prevention possible.
NCDSouth Asian particularity
Cardiovascular diseaseLeading killer; strikes roughly a decade earlier than in Europe
DiabetesOnset at lower BMI; very large affected population
CancerTobacco-linked oral cancer unusually prominent
Chronic respiratory diseaseDriven by household and ambient air pollution
Earlier onset is the economically important fact. NCDs striking during working years produce far larger income losses than the same conditions arriving after retirement, which is the pattern screening thresholds assume.
Oral cancer from smokeless tobacco is largely preventable and largely neglected, because tobacco control designed around cigarettes does not address gutka and khaini.
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A few behaviours drive most NCDs
  • Tobacco — smoked and smokeless (gutka, khaini)
  • Unhealthy diet — salt, sugar, trans-fat
  • Physical inactivity
  • Harmful alcohol use
  • Air pollution — ambient and household
These are modifiable. Tax, regulate, label, build walkable cities and clean the air — population-level prevention beats treating millions one by one.
Risk factorPopulation-level lever
Tobacco, including smokelessTax, plain packaging, smoke-free spaces
Salt, sugar, trans-fatReformulation, labelling, trans-fat limits
Physical inactivityWalkable streets, public transport
Harmful alcoholTax, availability, advertising limits
Air pollutionEmission standards, clean cooking fuel
Smokeless tobacco — gutka, khaini, zarda — is the form that matters most in South Asia and gets the least attention in tobacco control designed around cigarettes.
Every lever here is regulatory rather than clinical. That is the point of calling the risk factors modifiable: they are modifiable by policy, not primarily by advice.
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Mental health is public health
Depression, anxiety, substance use and suicide are a vast, under-counted share of the disease burden — yet mental health receives a tiny fraction of health spending across South Asia.
Stigma keeps people silent and services thin. India's National Mental Health Programme and the 2017 Mental Healthcare Act aim to widen access and protect rights.
Mental health in South AsiaPosition
Share of disease burdenLarge, and systematically under-counted
Share of health spendingA very small fraction
Treatment gapMost people with a common disorder receive no treatment
Specialist workforceFar below need
Legal framework in IndiaMental Healthcare Act, 2017 — rights-based
The treatment gap is the central fact and it cannot be closed with specialists. There are nowhere near enough psychiatrists, so task-sharing with trained non-specialists is the only route with evidence behind it.
India’s Mental Healthcare Act, 2017 decriminalised attempted suicide and established a right to mental healthcare. Implementation lags substantially behind the statute.
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Don't forget injuries
Road-traffic crashes, drowning, burns, falls and self-harm kill and disable enormous numbers — disproportionately the young and working-age — yet rarely feature in 'disease' debates.
Helmets, seat-belts, speed limits, safer roads and licensing are classic public-health wins — engineering and law, not medicine, save these lives.
Injury typeWhoProven intervention
Road trafficYoung men disproportionatelyHelmets, speed limits, road design
DrowningYoung childrenBarriers, supervision, swimming skills
BurnsWomen cooking on open flameClean fuel, safer stoves
Self-harmYoung adults; farmersMeans restriction — pesticide regulation
Pesticide regulation is among the best-evidenced suicide-prevention measures in South Asia. Restricting the most lethal compounds reduces deaths substantially, because many attempts are impulsive and method-dependent.
Injuries kill disproportionately in the working years, so their DALY burden is large even where the death count is smaller than for disease — and they are almost absent from health planning.
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WHO 'best buys' for NCDs
  • Raise tobacco and alcohol taxes
  • Ban tobacco advertising; plain packaging; smoke-free spaces
  • Cut salt in the food supply; eliminate industrial trans-fat
  • Screen and treat high blood pressure in primary care
  • Vaccinate against HPV and hepatitis B to prevent cancers
These are cost-effective, population-wide and mostly regulatory — the state acting upstream, not the clinic acting downstream.
WHO best buyWhy it qualifies
Tobacco and alcohol taxationRaises revenue while cutting harm
Advertising bans, plain packagingLow cost; no individual action needed
Salt reduction; trans-fat eliminationPopulation-wide by regulation
Hypertension treatment in primary careCheap drugs, large mortality benefit
HPV vaccination and cervical screeningPrevents a major cancer
Tobacco taxation is the single most effective NCD intervention available and one of very few public-health measures that generates revenue rather than consuming it.
It is also the most heavily lobbied against, which is worth naming: the obstacle to the best buys is rarely evidence or cost, and usually industry opposition.
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07
Section Seven
Maternal, Newborn, Child Health & Nutrition
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The continuum of care
Maternal and child health is not a series of one-off events but a continuum — care must connect across time and across the places it is given, or children fall through the gaps.
01
Adolescence & pre-pregnancy
02
Pregnancy (antenatal care)
03
Childbirth (skilled birth attendance)
04
Postnatal & newborn care
05
Infancy & early childhood
Continuum stageWhere women fall out
Adolescence and pre-pregnancyAnaemia never addressed before conception
PregnancyVisits attended; components not delivered
ChildbirthLargely closed in India — about 89% institutional
PostnatalDischarged within hours; no contact in the fatal window
ChildhoodImmunisation completed, growth monitoring not acted on
India solved the childbirth link and left the stages either side of it weakest. The remaining maternal and newborn deaths cluster in the hours after discharge and the months before conception.
Ask, of any district: of the women who delivered in a facility, how many had a postnatal contact within 48 hours? The drop between those two figures is the continuum failing.
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Most maternal deaths are preventable
The major direct causes — haemorrhage, infection (sepsis), high blood pressure (eclampsia), obstructed labour and unsafe abortion — are almost all preventable or treatable with timely, skilled care.
The 'three delays' kill: delay in deciding to seek care, delay in reaching a facility, and delay in receiving care once there. Public health attacks all three.
DelayLocated inFixed by
Deciding to seek careThe householdASHA outreach, danger signs, cash
Reaching a facilityThe roadReferral transport, free entitlements
Receiving adequate careThe facilityStaff, drugs, blood, a working theatre
Thaddeus and Maine’s three-delays model (1994) reframed maternal death as a systems failure rather than a clinical event, and it remains the most useful diagnostic in a maternal death review.
As institutional delivery approaches nine in ten births, delay three becomes the binding constraint. The remaining deaths are increasingly of women who did reach a facility.
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The proven package for safe motherhood
  • Antenatal care — check-ups, iron-folic acid, tetanus, danger-sign education
  • Skilled attendance at birth, with referral for complications
  • Emergency obstetric and newborn care within reach
  • Postnatal visits for mother and baby in the critical first days
  • Family planning to space and limit pregnancies
India's institutional-delivery rate rose sharply after schemes like JSY paid for facility births — a major driver of falling maternal mortality (NFHS / SRS).
InterventionPreventsCost
Oxytocin at deliveryPostpartum haemorrhageA few rupees
Magnesium sulphateEclampsiaCheap; no refrigeration
Skilled attendanceThe labour-window deathsStaffing
Emergency obstetric care within reachObstructed labour, haemorrhageTheatre, blood, anaesthetist
Postnatal contact within 48 hoursLate PPH, sepsisOutreach time
Nothing on this list is new or expensive except the fourth row. Maternal mortality is a delivery and staffing problem, not a scientific one — the remedies are decades old.
The anaesthetist is the classic single point of failure: a facility with an obstetrician, a theatre and no anaesthetist on night duty has caesarean capability only on paper.
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The newborn period is the most dangerous
A large share of all under-five deaths happen in the first 28 days of life — the neonatal period. Saving newborns is now the frontier of child survival.
Warmth
kangaroo mother care for low-birth-weight babies
Early breastfeeding
within the first hour
Cord & infection care
clean cord, prompt treatment of sepsis
Newborn interventionPrevents
Kangaroo mother careHypothermia and death in low-birthweight babies
Bag-and-mask resuscitationBirth asphyxia deaths — in the first minute
Early and exclusive breastfeedingInfection and undernutrition
Clean cord careSepsis and neonatal tetanus
Home visits in the first weekDeaths after early discharge
None of these needs electricity or a specialist. Neonatal mortality is a delivery problem: the interventions are decades old, cheap, and depend on trained hands being present at the right moment.
India’s HBNC schedule sends an ASHA on days 3, 7, 14, 21, 28 and 42 after an institutional birth — which leaves days one and two uncovered once early discharge is the norm.
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Stunting, wasting and underweight
IndicatorWhat it measuresSignals
StuntingLow height-for-ageChronic, long-term undernutrition
WastingLow weight-for-heightAcute, recent malnutrition (dangerous)
UnderweightLow weight-for-ageA mix of both
AnaemiaLow haemoglobinIron deficiency; very common here
South Asia carries one of the world's heaviest burdens of child stunting and anaemia (NFHS-5). Stunting is largely irreversible after age two — which is why timing is everything.
IndicatorMeasuresIndia (NFHS-5)
StuntingChronic undernutritionAbout 36% of under-fives
WastingAcute — the dangerous oneAbout 19%
UnderweightA mix of bothAbout 32%
Anaemia in childrenMicronutrient deficiencyAbout 67%
Wasting is the emergency indicator and stunting is the developmental one. A wasted child needs treatment now; a stunted child records damage largely already done.
India’s wasting prevalence is among the highest in the world and has been persistently resistant to programmes that focus on supplementary feeding alone.
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The first 1,000 days
From conception to a child's second birthday — the first 1,000 days — nutrition and care set the trajectory for lifelong health, brain development and earnings. Damage here is hard to undo.
01
Pregnancy: maternal nutrition & weight gain
02
0–6 months: exclusive breastfeeding
03
6–24 months: safe complementary feeding
04
Throughout: hygiene, healthcare, micronutrients
WindowWhat determines the outcome
PregnancyMaternal nutrition, anaemia, weight gain
0–6 monthsExclusive breastfeeding
6–24 monthsComplementary feeding quality; infection
After 24 monthsStunting is largely irreversible
The window closes. Growth faltering that occurs before age two is not recovered by later feeding, which is why programmes reaching school-age children cannot address stunting.
Complementary feeding from six months is the weakest link in most South Asian settings — diets are energy-adequate and diversity-poor, so children eat enough and remain stunted.
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ICDS, anganwadis and POSHAN
India delivers child nutrition through the world's largest such programme: Integrated Child Development Services (ICDS) and its network of anganwadi centres, now under POSHAN Abhiyaan.
  • Supplementary nutrition for children and pregnant/lactating women
  • Growth monitoring and counselling
  • Immunisation, health check-ups and referral
  • Pre-school education for 3–6 year-olds
ICDS / POSHAN serviceKnown weakness
Supplementary nutritionTake-home ration diverted or diluted
Growth monitoringWeighing done; counselling skipped
Pre-school educationSqueezed by the feeding workload
Immunisation and referralDepends on ANM visit reliability
Counselling for mothersThe highest-value component, least delivered
ICDS is among the largest programmes of its kind anywhere and its performance varies enormously by state. The design is not the constraint; anganwadi worker workload, supply and supervision are.
The last row is the pattern across nutrition programmes generally: the component with the strongest evidence — behaviour-change counselling — is the one with no commodity attached and no easy indicator.
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Nutrition is more than food
A child can eat enough yet stay stunted if repeated infection drains nutrients. WASH — water, sanitation and hygiene — is as much a nutrition intervention as feeding.
Sanitation, clean water, breastfeeding, women's education and birth spacing all shape nutrition. Food alone never fixes stunting.
Nutrition inputWorks through
FoodDirect intake
SanitationPrevents the infections that drain nutrients
Clean waterSame
BreastfeedingNutrition plus immunity
Women’s education and agencyFeeding practice, care-seeking, birth spacing
Repeated enteric infection prevents a child absorbing what they eat, which is why sanitation improvements can reduce stunting without any change in food intake — and why feeding programmes alone underperform.
This is the clearest case in the deck for cross-sector working. A nutrition ministry acting without water and sanitation is treating one input of several.
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08
Section Eight
Health Systems
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What is a health system?
Health system
All the organisations, people and actions whose primary purpose is to promote, restore or maintain health — not just hospitals, but financing, workforce, supplies, information and governance.
A health system aims to improve health, respond fairly to people, and protect them from financial hardship when they fall ill.
A health system includesCommonly forgotten
Hospitals and clinicsNo
Financing and poolingYes
Supply chains for drugsYes — until a stockout
Information systemsYes
Governance and regulationYes — especially of the private sector
Health-system strengthening usually means the unglamorous rows. A district can have adequate facilities and adequate staff and still fail on procurement, which nothing in the facility fixes.
The last row matters most in India, where the private sector delivers much of the actual care and is very lightly regulated. A system that governs only the public half governs a minority of encounters.
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The WHO six building blocks
ServicedeliveryHealthworkforceInformationMedicalproducts &vaccinesFinancingLeadership&governanceThe Six Building Blocks of a Health System (WHO)
Weaken any block — no staff, no medicines, no data, no money, no leadership — and the whole system falters. They are interdependent.
Building blockFails as
Service deliveryFacilities that exist and cannot function
Health workforceSanctioned posts, unfilled
InformationData collected and unused
Medical productsStockouts
FinancingOut-of-pocket payment
GovernanceAn unregulated private sector
Readiness is a conjunction, not a sum. Five blocks strong and one weak gives you the capability of the weak one, which is why scorecards averaging across components mislead.
The six blocks are a diagnostic frame rather than a theory. Their use is to stop a health-system assessment from becoming a facility count, which is what it defaults to.
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There is no health without a health workforce
Doctors, nurses, midwives, pharmacists and community health workers are the system's beating heart. Many countries, including parts of South Asia, fall short of WHO's benchmark for health workers per population.
Shortages cluster exactly where need is greatest — rural, remote and poor areas. Distribution, not just numbers, is the equity problem.
Workforce issueIn South Asia
Density per populationBelow WHO benchmarks in much of the region
DistributionConcentrated in cities; rural posts vacant
Skill mixDoctor-heavy planning; nurses and midwives undervalued
RetentionRural postings treated as time to be served
Community cadreASHAs carry the load and are not salaried
Distribution is a bigger problem than density in India. Producing more doctors does not fill rural posts if the reasons they go unfilled — housing, schooling, spouse employment, isolation — are unaddressed.
Midwifery is the clearest under-investment. Professional midwives handle most of what an obstetrician does for normal birth, at far lower cost, and the region trains very few.
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Three ways to pay for health
MechanismHow it worksEquity
Out-of-pocketPatient pays at the point of careWorst — sickness = debt
Tax-fundedGovernment funds from general taxesStrong if well funded
InsurancePooled premiums (social or private)Good if it covers the poor
The more health is paid out-of-pocket at the point of use, the more illness pushes families into poverty. Pooling and prepayment are the route out.
Financing mechanismEquityRisk
Out-of-pocketWorst — the sick pay mostCatastrophic expenditure; impoverishment
Tax-fundedStrong, if adequately fundedDepends on fiscal space and political will
Social insuranceGood for the coveredExcludes informal workers
Private insurancePoorSelects the healthy; excludes the sick
Out-of-pocket payment is the most regressive way to finance health, because it charges people precisely when they are least able to earn. It is also India’s largest single source.
The informal-sector problem is why contribution-based insurance struggles in South Asia: most workers have no payroll to deduct from, so schemes end up tax-financed anyway.
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Universal Health Coverage (UHC)
Universal Health Coverage (UHC)
All people get the quality health services they need — promotion, prevention, treatment, rehabilitation — without suffering financial hardship to pay for them.
UHC is a target of the Sustainable Development Goals (SDG 3.8). It has three dimensions: who is covered, which services, and what share of cost is protected.
UHC requiresWithout it
Services people actually needCoverage of the wrong things
Adequate qualityContact without benefit
No financial hardshipCare that impoverishes
For everyoneA scheme, not universal coverage
The quality clause is the one most often dropped. Coverage figures count contacts, and a contact with a facility that could not help is recorded identically to one that saved a life.
UHC is SDG target 3.8 and is measured on two indicators: service coverage and catastrophic health expenditure. A country can improve one and worsen the other.
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Three dimensions of moving toward UHC
Population
Who is covered? Extend to everyone
Services
What is covered? Add needed services
Costs
What share is covered? Cut out-of-pocket
No country covers everything for everyone free; UHC is a direction of travel, expanding along all three axes as resources grow.
UHC dimensionExtending it means
PopulationCovering people currently excluded
ServicesAdding what is not in the package
CostReducing what patients pay directly
No country covers everything for everyone at no cost, so every system chooses which dimension to extend first. Naming the choice openly is better than presenting the package as complete.
Extending the population dimension first is generally the most equitable route, and extending services first tends to benefit those already covered — who are rarely the worst-off.
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Primary Health Care: Alma-Ata, 1978
Health for All.
— the rallying cry of the Alma-Ata Declaration, 1978
The Declaration of Alma-Ata (1978) made Primary Health Care (PHC) the foundation of health systems: essential care, close to where people live, with community participation and across sectors.
Alma-Ata principleWhat happened to it
Essential care, close to homeSurvived
Community participationWeakened into consultation
Intersectoral actionLargely abandoned
Appropriate technologySurvived
Health for All by 2000Not achieved
Comprehensive PHC was narrowed within a few years into "selective PHC" — a short list of measurable vertical interventions — on grounds of cost. That argument recurs every funding cycle.
The two principles that were dropped are the two that made PHC political: community control over services, and action outside the health sector. Both are hard to fund and hard to measure.
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Astana 2018 renews the PHC promise
Forty years on, the Astana Declaration (2018) re-committed the world to Primary Health Care as the most efficient route to UHC — updated for NCDs, ageing, technology and empowered communities.
The thread from Alma-Ata to Astana to India's Health & Wellness Centres is the same: strong, comprehensive primary care is the backbone of any health system that works.
Alma-Ata, 1978Astana, 2018
Central claimPHC is the route to Health for AllPHC is the route to UHC
ContextInfectious disease, child survivalNCDs, ageing, technology
Community roleParticipationEmpowered communities
What followedSelective PHC — a narrowingImplementation still uneven
Alma-Ata’s comprehensive vision was quickly narrowed into "selective primary health care" — a short list of vertical interventions — on grounds of cost and measurability. That argument has never gone away.
Astana matters mainly as a re-commitment. Whether it changes anything depends on financing, and comprehensive PHC has historically lost budget arguments to vertical disease programmes.
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09
Section Nine
India's Health System
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A federal, mixed health system
Health is mainly a state subject in India: states run most services, the centre sets policy and co-funds national programmes. A vast private sector delivers much of the actual care.
The result is enormous variation between states — Kerala and Tamil Nadu perform near middle-income levels while several northern states lag far behind.
Feature of India’s systemConsequence
Health is mainly a state subjectEnormous variation between states
Centre sets policy and co-fundsLeverage without direct delivery
A large private sectorMost outpatient care is private and lightly regulated
Mixed financingHigh out-of-pocket share
State variation is the single most important fact about Indian health. National averages describe no state, and a policy that works in Kerala and Tamil Nadu may have no purchase in the high-burden states.
The private-sector share means that regulating quality, price and notification matters as much as strengthening public facilities — and receives far less attention.
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The rural public health structure
TierFacilityRoughly serves
First contactSub-Centre (SC) / HWC~3,000–5,000 people
PrimaryPrimary Health Centre (PHC)~20,000–30,000 people
First referralCommunity Health Centre (CHC)~80,000–120,000 people
HigherDistrict hospital & aboveThe district
Population norms are indicative and differ for tribal and hilly areas. The pyramid routes routine care low and complex care up.
TierNorm populationTypical gap
Sub-Centre / HWCAbout 3,000–5,000ANM vacancies; supply irregularity
PHCAbout 20,000–30,000Medical officer posts unfilled
CHC / FRUAbout 80,000–120,000Specialist posts — the largest shortfall
District hospitalDistrictOvercrowded by referrals from below
Specialist vacancies at CHC level are the structural bottleneck. A CHC without an anaesthetist cannot perform a caesarean, so every complication is referred onward and the district hospital absorbs the load.
Norms are also population norms, not travel-time norms. A sub-centre serving the right number of people spread over a hilly block is not accessible to most of them.
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The National Health Mission (NHM)
Launched as the National Rural Health Mission in 2005 and later broadened, the NHM is the main vehicle for strengthening public health — infrastructure, staff, programmes and community workers.
  • Built and upgraded thousands of rural facilities
  • Created the ASHA community health worker cadre
  • Funded the schemes behind falling IMR and MMR
NHM contributionMechanism
The ASHA cadreA community link that did not previously exist
Untied funds to facilitiesLocal purchase when procurement fails
Rogi Kalyan SamitisFacility-level management and grievance route
Free entitlementsRemoves cost at the point of care
Flexible state fundingLets states adapt to their own burden
NHM’s durable contribution is institutional rather than infrastructural. The ASHA cadre and flexible financing changed what states could do; buildings alone would not have.
It also created the data systems — HMIS, name-based tracking — that make continuum completion measurable at all. What can be counted was decided here.
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ASHAs: the bridge to the community
ASHA (Accredited Social Health Activist)
A trained local woman who links her community to the health system — promoting institutional births, immunisation, ante/postnatal care and more, paid largely through performance incentives.
Around a million ASHAs form one of the world's largest community health workforces — central to India's gains in maternal and child health. The WHO recognised them with a Global Health Leaders award in 2022.
ASHAPosition
StatusVolunteer, not salaried staff
PaymentPerformance-based incentives per task
NumberClose to a million across India
RoleThe link between household and health system
RecognitionWHO Global Health Leaders Award, 2022
The incentive list functions as the job description. Tasks without an attached payment — postnatal counselling, following up a refused referral — compete with paid work and are the first to lapse.
Any programme adding a duty for ASHAs is adding under-paid work to the busiest link in the chain. That is a design constraint, and a recurring reason pilots do not survive scale-up.
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Ayushman Bharat: two pillars
Launched in 2018, Ayushman Bharat is India's flagship move toward UHC, built on two complementary pillars.
Pillar 1: HWCs
Health & Wellness Centres upgrade sub-centres and PHCs to deliver comprehensive primary care — including NCDs and mental health — free, near home.
Pillar 2: PM-JAY
PM-JAY gives poor and vulnerable families a large annual cover for hospital (secondary & tertiary) care — one of the world's biggest health-insurance schemes.
Ayushman Bharat, 2018CoversDoes not cover
Health & Wellness CentresComprehensive primary care, NCD screeningDepends on staffing reaching the norm
PM-JAYSecondary and tertiary hospitalisationOutpatient care and medicines
Most out-of-pocket health spending in India is outpatient — consultations, tests and drugs — which PM-JAY does not touch. That is by design, and it is why the HWC pillar carries the larger share of the UHC promise.
Insurance-based schemes also require a functioning empanelment and claims system, and their impact depends heavily on whether private hospitals participate at the offered rates.
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Primary care plus financial protection
01
HWCs: keep people healthy & catch disease early (prevention)
02
Strong primary care reduces need for costly hospital care
03
PM-JAY: shield families from catastrophic hospital bills
04
Together: move toward Universal Health Coverage
The design mirrors the global lesson: invest in primary care and protect against the big bills. One without the other leaves people exposed.
Ayushman Bharat pillarAddressesGap
Health & Wellness CentresComprehensive primary careStaffing and supply at scale
PM-JAYCatastrophic hospital costsCovers hospitalisation, not outpatient care
TogetherPrevention plus financial protectionOutpatient spending is most of out-of-pocket cost
The last row is the design gap most often noted. Most out-of-pocket health spending in India is on outpatient care and medicines, which a hospitalisation-focused scheme does not touch.
That is precisely what HWCs are meant to cover, which makes the two pillars complementary by design — and makes HWC implementation the more consequential half.
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Out-of-pocket spending impoverishes families
Out-of-pocket as a share of total health spending (illustrative)
Illustrative, patterned on National Health Accounts trend
Figures are illustrative. India's out-of-pocket share, though falling, has long been high — medical bills push millions into poverty each year (National Health Accounts). Cutting it is the central UHC challenge.
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India spends comparatively little public money on health
Government health spending in India has long hovered around 1–2% of GDP — low by international standards. The National Health Policy 2017 set a goal of raising it toward 2.5% of GDP.
Low public spending is the root of high out-of-pocket costs. More pooled public money is the surest way to financial protection — the unfinished agenda of Indian health reform.
India’s health financingPosition
Government spendingLong around 1–2% of GDP
National Health Policy 2017 targetToward 2.5% of GDP
Out-of-pocket shareFalling, still high by international standards
ConsequenceMillions pushed into poverty by health costs each year
Low public spending and high out-of-pocket payment are the same fact seen twice. What the state does not fund, households pay for at the point of illness, which is when they can least afford it.
Comparators help here: several countries at similar income levels spend a substantially larger share of GDP publicly on health, so the figure reflects a choice rather than a constraint.
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10
Section Ten
Health Equity & Global Health
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The inverse care law
The availability of good medical care tends to vary inversely with the need of the population served.
— Julian Tudor Hart, 1971
Those who need care most — the poor, rural and marginalised — tend to get the least and worst of it, while the well-off get the most. Markets, left alone, deepen this.
The inverse care law operates throughExample
Where facilities are locatedDoctors concentrate in cities
Who can reach themDistance, cost, time off work
How people are treated on arrivalDiscrimination by caste, language, poverty
What is available when they get thereStockouts in poorer districts
Julian Tudor Hart formulated this in 1971 and it has been observed repeatedly since, including in systems that are free at the point of use — which shows that removing the fee does not remove the law.
It also predicts a trap: a universal programme delivered without extra effort for the hardest to reach will widen gaps, because the advantaged take it up first and fastest.
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Equity means seeing the gaps
  • Caste & tribe: Dalit & Adivasi communities face worse outcomes
  • Gender: anaemia, son preference, neglected women's health
  • Geography: remote, hilly, conflict-affected and urban-slum areas
  • Disability & age: services rarely designed for them
  • Income: the poorest carry the heaviest disease burden
Always disaggregate: a good national average can hide a failing programme for those who matter most.
GroupBarrierWhere it operates
Dalit and Adivasi communitiesDistance and discriminationAccess and treatment
WomenPermission, mobility, low priorityCare-seeking
Remote and hill districtsDistance, staffingAvailability
Urban slumsCounted nowhere; no facility mappedEverything
Persons with disabilitiesPhysical access; assumptionsAvailability and acceptability
Urban slum populations are the most invisible group in Indian health data. They fall between rural infrastructure norms and urban facility planning, and often do not appear in either denominator.
Disaggregating data you already hold — by caste, sex, disability, distance — costs nothing and is the fastest way to see whether a programme reaches beyond the easiest to serve.
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Pandemics and the International Health Regulations
Disease respects no border. The International Health Regulations (IHR, 2005) legally bind countries to detect, report and respond to public-health emergencies of international concern.
COVID-19 exposed the cost of weak preparedness: the strength of every country's basic public-health system — surveillance, labs, workforce — is global security, not just local welfare.
IHR (2005) requires countries toCOVID exposed
Detect eventsUneven surveillance capacity
Report within set timeframesIncentives to delay
Maintain core capacitiesWidespread shortfalls
Avoid unnecessary trade and travel restrictionsRoutinely ignored
The reporting incentive is the structural flaw. A country that reports promptly faces trade and travel restrictions, which is a penalty for compliance and a reason the system under-detects.
The pandemic agreement negotiations at WHO are largely about this: how to make prompt reporting rational, and how to guarantee access to countermeasures for the countries that report.
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One Health: people, animals, environment
One Health
An approach recognising that human, animal and environmental health are linked — many new diseases jump from animals to people (zoonoses), so we must act across all three.
Most recent emerging epidemics — avian flu, Nipah, COVID-19 — are zoonotic. Antimicrobial resistance, too, spans humans, livestock and the environment.
One Health domainContribution
Human healthDetection, treatment, vaccination
Animal healthWhere most emerging pathogens originate
EnvironmentLand-use change and habitat loss drive spillover
TogetherThe only level at which spillover can be reduced
Most recent emerging epidemics have been zoonotic, so a purely human-health surveillance system detects outbreaks only after they have crossed into people — which is already late.
Antimicrobial resistance is the other One Health problem, generated across all three domains simultaneously. Neither can be contained by acting in one domain alone.
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Climate change is a health crisis
The WHO calls climate change the greatest health threat of the century. It is a public-health issue, not only an environmental one.
  • Heatwaves — deadly, especially for outdoor workers and the elderly
  • Shifting ranges of malaria, dengue and other vector-borne disease
  • Floods and droughts — injury, displacement, food insecurity
  • Air pollution — respiratory and heart disease
Climate pathwayHealth effectWho is hit first
HeatHeatstroke, kidney disease, mortalityOutdoor workers, the elderly
Vector range shiftsDengue and malaria in new areasNewly exposed populations
Extreme weatherInjury, displacement, water contaminationCoastal and riverine communities
Crop failureUndernutritionThe poorest
Heat is the most immediate pathway for South Asia and the most measurable. Ahmedabad’s heat action plan, and the plans that followed it, are evidence that mortality responds to preparation.
Every row hits the poorest first and hardest, which makes climate health an equity issue rather than a general one. Adaptation that is not targeted will widen existing gaps.
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Good climate policy is good health policy
The link cuts both ways. Cleaner air, active transport, less red meat and greener cities cut emissions and prevent disease — the health co-benefits of climate action.
Framing climate action around immediate health gains — cleaner air today, not only a cooler planet tomorrow — makes the case more compelling and more local.
Climate actionHealth co-benefitTiming
Clean cooking fuelLess respiratory disease in women and childrenImmediate
Reduced vehicle emissionsLess asthma, cardiovascular diseaseImmediate
Active transportPhysical activity, fewer NCDsImmediate
Greener citiesHeat mitigation, mental healthMedium term
The co-benefits arrive locally and immediately while the climate benefit is global and delayed, which makes health the more persuasive frame for the same policy in most political settings.
Framing air-quality regulation as a health measure rather than a climate measure has repeatedly proved easier to build coalitions around — and delivers the same emissions reduction.
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Global health is shared responsibility
From vaccine access to disease eradication, health beyond borders needs cooperation: the WHO, Gavi, the Global Fund and the SDGs all rest on the idea that no one is safe until everyone is.
Smallpox — the only human disease ever eradicated (1980) — proves what coordinated global public health can achieve.
Global health achievementWhat made it possible
Smallpox eradication, 1980Surveillance-containment, global cooperation
Polio, close to eradicationSustained campaigns; still fragile
ART access expansionPrice negotiation and generic manufacture
Vaccine access via GaviPooled procurement
Smallpox remains the only human disease ever eradicated, and it succeeded through surveillance and ring vaccination rather than universal coverage — a strategy worth remembering.
COVID vaccine distribution is the counter-example: the technology worked and the allocation did not. Global solidarity is a claim about arrangements, not about goodwill.
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11
Section Eleven
Prevention in Practice & Further Reading
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Four levels of prevention
Where each level acts along the course of disease
Standard public-health framework (Leavell & Clark)
The earlier you act, the more people you protect — and usually the cheaper it is. Primordial and primary prevention are the heart of public health.
Prevention levelReachCost per person protected
PrimordialEveryoneLowest
PrimaryEveryone at riskLow
Secondary, then tertiaryThose screened, then the illHighest
Cost rises and reach falls as you move down the levels, which is the arithmetic behind the whole prevention argument — and health budgets are allocated in almost exactly the reverse order.
Leavell and Clark’s framework is standard and worth knowing by name. Its practical use is to force the question: at which level is this programme acting, and could it act one level earlier?
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What each level means
LevelActs onExample
PrimordialRisk factors before they ariseClean air policy; healthy food environment
PrimaryStop disease before it startsImmunisation, sanitation, tobacco tax
SecondaryCatch disease earlyScreening for BP, diabetes, cervical cancer
TertiaryLimit harm once disease existsRehabilitation, managing complications
LevelActs onExample
PrimordialRisk factors before they ariseClean air policy; healthy food environment
PrimaryDisease before onsetImmunisation, sanitation, tobacco tax
SecondaryEarly diseaseScreening; hypertension detection
TertiaryEstablished diseaseRehabilitation; complication prevention
Primordial prevention is the level most often omitted and the one with the widest reach. It prevents risk factors from appearing at all rather than managing them once present.
Screening — secondary prevention — is not automatically beneficial. Without a working recall and treatment pathway it identifies people with disease and then loses them, which is worse than not screening.
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High-risk vs population approach
High-risk
Find and treat the few at greatest risk — e.g. those with very high blood pressure. Efficient per person, but misses the many at modest risk.
Population
Shift the whole distribution — e.g. less salt for everyone. Each person gains little, but the population gains a lot. Geoffrey Rose's insight.
Rose's 'prevention paradox': a measure that brings large benefit to a population often offers little to each individual — which is why population strategies can be a hard sell.
High-risk strategyPopulation strategy
TargetsThe few at greatest riskThe whole distribution
Benefit per personLargeSmall
Total cases preventedFewerMore
RequiresScreening and individual treatmentPolicy and regulation
The paradoxLarge benefit to the population, little to each individual
Geoffrey Rose’s prevention paradox is the key idea: most cases arise in the large group at modest risk, not the small group at high risk, so treating only the high-risk group misses most of the burden.
Its cost is motivation. A measure that gives each person a tiny benefit is hard to sustain by persuasion, which is why population strategies work through regulation rather than advice.
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Health promotion: more than telling people what to do
Health promotion
The process of enabling people to increase control over, and improve, their health — combining education, healthy public policy, supportive environments and community action (Ottawa Charter, 1986).
Lecturing people to 'eat better' fails if the shop sells only junk and the wage buys only the cheapest calories. Change the environment, not just the message.
Health promotion isIt is not
Enabling people to control their healthTelling them what to do
Healthy public policyA poster campaign
Supportive environmentsIndividual exhortation
Community actionMessaging delivered to communities
Reorienting health servicesAn add-on to clinical care
The Ottawa Charter (1986) defined health promotion around these five actions, and only one of them is communication. Programmes that reduce it to messaging have adopted the name and dropped the method.
The reason matters: exhortation reaches whoever is already able to act. Changing the environment reaches everyone, including the people whose constraints made the advice unusable.
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Behaviour change and risk communication
  • Make the healthy choice the easy choice (defaults, access)
  • Use trusted local messengers — ASHAs, teachers, faith leaders
  • Be honest about uncertainty; rumours fill information vacuums
  • Tackle stigma — for HIV, TB, leprosy, mental illness
COVID-19 showed that clear, trusted, two-way communication is as vital as any vaccine. Misinformation is a public-health hazard.
Communication principleFailure it prevents
Make the healthy choice the easy choiceAdvice that only the already-able can follow
Use trusted local messengersA correct message from a distrusted source
Be honest about uncertaintyCredibility lost when guidance changes
Fill the vacuum earlyRumour arriving first
Address stigma directlyPeople avoiding services entirely
Rumours fill information vacuums, so speed matters more than polish. An early honest statement that acknowledges what is not yet known outperforms a late, confident one.
Changing guidance is not a credibility failure if the reasoning was explained. Guidance that changes without acknowledgement is what damages trust, as COVID communication showed repeatedly.
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A short reading list
  • The Health of Nations — on the social roots of health
  • The Status Syndrome — Michael Marmot (the social gradient)
  • An Uncertain Glory: India & its Contradictions — Drèze & Sen
  • WHO & Lancet reports on UHC, NCDs and climate & health
  • India's NFHS, SRS and National Health Accounts — the core data
Pair this deck with ImpactMojo's Data Literacy, Maternal & Child Health and Social Determinants 101 courses.
SourceBest for
Marmot, The Status SyndromeThe social gradient, argued from the evidence
Drèze & Sen, An Uncertain GloryIndia’s health and development record
WHO fact sheets and reportsCurrent guidance and definitions
NFHS and SRS (India)Your own state and district numbers
Global Burden of DiseaseCause and risk-factor rankings
The NFHS district fact sheets are the most immediately usable item here. Immunisation, stunting, anaemia, institutional delivery and sanitation for your own district, free to download.
Read GBD estimates as modelled figures with wide intervals rather than as counts. They are revised substantially between rounds, especially where cause-of-death certification is incomplete.
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If you remember five things
  • Public health acts on populations, mostly upstream and before illness
  • Most health is made outside the clinic — in the social determinants
  • Incidence is new cases; prevalence is all cases — never mix them
  • Prevention and primary care are the backbone of UHC
  • Cut out-of-pocket spending — no one should be ruined by illness
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Public Health 101 · Complete
Build the fence
at the top of the cliff.
CC BY-NC-ND 4.0·Free Forever·ImpactMojo 101 Series