Epidemiology Overview

Principles

Definition

Epidemiology is the scientific discipline concerned with the distribution and determinants of health-related states or events in specified populations. It applies this knowledge to the control of health problems and the promotion of public health.

Ontological type

Study Designs

Core Concepts

Measures of Association

Key developments

Key Figures

Transmission and Ecological Quantification era

Simon Flexner [1] was affiliated with Rockefeller University [3] and the University of Pennsylvania [4] during the Transmission and Ecological Quantification era. His key contributions include early experimental work on poliomyelitis transmission in monkeys, exemplified by papers such as the Transmission of Acute Poliomyelitis to Monkeys [6], Epidemic Poliomyelitis [7], and Experimental Epidemic Poliomyelitis in Monkeys [8], which together advanced quantitative concepts of transmission and outbreak dynamics. Thomas Francis [2] conducted etiological and serological investigations at Rockefeller University [3] and New York University [5] during this era. His notable contribution, Etiological and Serological Studies in Epidemic Influenza [9], applied serology to quantify influenza dynamics and inform public health interventions.

Cohort and Risk-Factor Epidemiology era

Donald B. Rubin [1], associated with Harvard University [3] and Princeton University [4] in this era, helped shape causal inference for cohort studies. His 1974 paper Estimating causal effects of treatments in randomized and nonrandomized studies [6] established a unified framework for estimating causal effects across study designs, a foundational advance for cohort and risk-factor epidemiology in this era. William B. Kannel [2], connected with Harvard University [3] and the University of California, San Francisco [5], helped illuminate cardiovascular risk in the cohort era. His influential papers include Incidence of coronary heart disease and lipoprotein cholesterol levels—the Framingham Study [7], Serum Cholesterol, Lipoproteins, and the Risk of Coronary Heart Disease [8], and Differences in Coronary Heart Disease in Framingham, Honolulu and Puerto Rico [9], collectively advancing risk assessment, standardization, and cross-population comparisons critical to this era.

Global Burden and Integrated Surveillance era

Douglas G. Altman [1] was a leading figure associated with the Institute of Cancer Research [3] and Stanford University [4] during the Global Burden and Integrated Surveillance era. He contributed to standardization of evidence synthesis and reporting through the PRISMA statement [6] and the PRISMA Statement [7], and through the STROBE Statement [8], which enhanced transparency, comparability, and methodological rigor in reviews and observational studies during this era. David Moher [2] likewise shaped the field with affiliations to Stanford University [4] and Johns Hopkins University [5] in this period. His key contributions include advocating PRISMA [6][7], STROBE [8], and CONSORT [9] guidelines, which underpinned rigorous reporting of trials and observational studies and supported reliable burden estimation and policy-relevant surveillance.