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Communicable disease epidemiology and outbreak investigation

Public Health (BPH / B.Sc Public Health) · Epidemiology and biostatistics · free study notes for exams, placements and interviews

In short

Communicable disease epidemiology studies how infectious agents spread through populations and how that spread can be interrupted; outbreak investigation is its field application — a standard sequence of steps used to detect, confirm, describe and stop an epidemic. India carries a very large infectious disease burden (tuberculosis, dengue, malaria, diarrhoeal disease, hepatitis A/E, measles, leptospirosis, scrub typhus, rabies) and runs formal surveillance through the Integrated Disease Surveillance Programme (IDSP) on the Integrated Health Information Platform (IHIP), the National Centre for Disease Control (NCDC) and the India-EIS field epidemiology training programme. The topic is examined in BPH/B.Sc Public Health epidemiology papers, in the Epidemiology paper of MPH and AIIMS/ICMR entrance tests, and tested in technical rounds for Surveillance Officer, Epidemiologist (NHM), Monitoring & Evaluation Officer and research roles at ICMR institutes, WHO-NPSP, PATH, Jhpiego and clinical research organisations. Interviews focus on the ten investigation steps, epidemic curve reading, attack-rate tables and the difference between a point-source and propagated outbreak.

Explained

Concepts, agent-host-environment and the chain of infection

Herd immunity, reproduction number and dynamics

Surveillance in India

Steps of an outbreak investigation

  1. Establish the existence of an outbreak: compare current counts with the expected baseline for that place and season (previous 3-5 years, endemic channel). Rule out pseudo-epidemics from a new test, a new doctor, better reporting or a change in case definition.
  2. Verify the diagnosis: review clinical records, examine some patients, confirm with laboratory tests; collect specimens (stool, blood, serum, CSF, water) before treatment where possible.
  3. Define and count cases: write a case definition with clinical criteria plus restrictions by time, place and person; classify as suspected / probable / confirmed. Keep it sensitive early (find all cases) and tighten it for analysis. Prepare a line list (name, age, sex, address, date of onset, symptoms, exposure, outcome).
  4. Describe the data by time, place and person (descriptive epidemiology): epidemic curve; spot map/GIS; attack rates by age, sex, occupation and ward. Identify the index case (first case that comes to notice), primary case (brings infection in) and secondary cases.
  5. Develop a hypothesis about the agent, source, vehicle, mode of transmission and population at risk, consistent with the curve, the incubation period and the descriptive picture.
  6. Test the hypothesis analytically: a retrospective cohort study when the exposed population is enumerable (a wedding, hostel, school — compute food-specific attack rates and relative risk); a case-control study in an open community (compute odds ratios).
  7. Refine hypotheses and do additional studies: environmental and laboratory investigation — water sampling and residual chlorine, food handler stool culture, entomological survey (house index, container index, Breteau index for Aedes), veterinary investigation for zoonoses.
  8. Implement control and prevention measures: act in parallel from day one, do not wait for analysis — chlorinate or stop the implicated water source, withdraw implicated food, isolate cases, vaccinate, treat contacts, vector control (fogging for adults, source reduction for larvae).
  9. Evaluate and continue surveillance: check that incidence falls, continue active case search for at least two incubation periods after the last case before declaring the outbreak over.
  10. Communicate findings: oral briefing to administration for immediate action, and a written report (introduction, methods, results, discussion, recommendations) that becomes the legal and scientific record; risk communication to the community and press.

Epidemic curves and types of outbreak

Levels of prevention and control measures

Key points

Formulas and examples

Attack rate (AR) = (number of new cases in the period / population at risk at the start) × 100 — a percentage, time-limited
Food-specific attack rate = (cases who ate the item / total who ate the item) × 100
Secondary attack rate = [new cases among contacts] / [total contacts − primary cases] × 100
Relative risk RR = AR(exposed) / AR(unexposed) — dimensionless; RR > 1 suggests the exposure is implicated
Odds ratio OR = (a × d) / (b × c), where a, b = exposed cases and controls; c, d = unexposed cases and controls
Case fatality rate CFR = (deaths from the disease / total cases of the disease) × 100
Basic reproduction number R₀ = β × c × D (transmissibility per contact × contact rate × duration of infectiousness)
Effective reproduction number R = R₀ × s, where s = proportion of the population still susceptible
Herd immunity threshold Hc = 1 − 1/R₀ (as a proportion; × 100 for a percentage)
Vaccine coverage needed = Hc / VE, where VE = vaccine efficacy as a proportion
Vaccine efficacy VE = [AR(unvaccinated) − AR(vaccinated)] / AR(unvaccinated) × 100
Incubation period estimate (point source) = date/time of peak − date/time of exposure; median incubation from the line list

Example 1 — Food-specific attack rates at a wedding (retrospective cohort). 250 guests attended a wedding in Pune; 80 developed vomiting and diarrhoea within 2-6 hours.

Food itemAte: illAte: totalAR ate (%)Not ate: illNot ate: totalAR not ate (%)RR
Paneer curry7212060.081306.29.75
Rice6020030.0205040.00.75
Salad4012532.04012532.01.00

Example 2 — Case-control study of a jaundice outbreak. 60 hepatitis E cases and 120 neighbourhood controls were asked about drinking untreated ward-tap water: 48 cases and 48 controls were exposed.

Example 3 — Secondary attack rate and herd immunity for measles. A measles case in a village had 25 household contacts; 18 were unvaccinated susceptibles, and 12 of them developed measles within 7-18 days.

Example 4 — Epidemic curve and exposure dating. A hostel outbreak of hepatitis A: cases ran from 2 to 30 March, peaking on 16 March, with the mean incubation period of hepatitis A taken as 28 days (range 15-50).

Example 5 — CFR and comparison of measures. In a district outbreak, 4,000 of 50,000 residents fell ill with cholera and 40 died.

MeasureNumeratorDenominatorWhat it tells you
Attack rateNew cases in outbreakPopulation at riskHow widely it spread
Secondary attack rateCases among contactsSusceptible contactsInfectiousness of the agent
Case fatality rateDeaths from the diseaseCases of the diseaseSeverity/virulence
Mortality rateDeaths from the diseaseTotal populationBurden on the population
FeaturePoint sourcePropagated
Curve shapeSingle sharp peakSuccessive rising peaks
DurationWithin one incubation periodSeveral serial intervals
Peak interval—One serial interval apart
Typical examplesFood poisoning, single water contaminationMeasles, diphtheria, COVID-19
Main controlRemove/treat the vehicleIsolation, vaccination, contact tracing

Where it is used

Interview questions

Common mistakes

Related topics

Epidemiology: principles, measures and study designs · Biostatistics for health sciences · Immunisation and vaccine-preventable diseases · Environmental health: water, sanitation and vector control · Health programmes and policy in India · One Health and zoonotic disease control

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