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Étude écologique×Étude épidémiologique transversale×
DomaineÉpidémiologieÉpidémiologie
FamilleProcess / pipelineProcess / pipeline
Année d'origine19th century (Snow 1854); formalised mid-20th century1960s (formal codification); widely practiced since mid-20th century
Auteur d'origineVarious; foundational work by John Snow (1854) and systematised in modern form by Brian MacMahon and colleaguesClassical epidemiology tradition; systematized by Brian MacMahon and Thomas Pugh (1960s)
TypeObservational epidemiological studyObservational, descriptive/analytic epidemiological design
Source fondatriceMorgenstern, H. (1995). Ecologic studies in epidemiology: concepts, principles, and methods. Annual Review of Public Health, 16(1), 61–81. DOI ↗Kelsey, J. L., Whittemore, A. S., Evans, A. S., & Thompson, W. D. (1996). Methods in Observational Epidemiology (2nd ed.). Oxford University Press. ISBN: 978-0195080407
Aliasaggregate study, correlational study, ecological correlation study, population-level studyprevalence study, cross-sectional survey, transversal study, cross-sectional design
Apparentées56
RésuméAn ecological study is an observational epidemiological design in which the unit of analysis is a group or population — a country, region, city, or time period — rather than an individual. Exposures and outcomes are measured as aggregates (rates, proportions, or means) and then correlated across groups to generate or evaluate hypotheses about population-level associations between risk factors and disease.A cross-sectional epidemiological study measures the exposure(s) and outcome(s) of interest simultaneously in a defined population at a single point in time (or over a short period). Because there is no follow-up, it is the most efficient observational design for estimating disease prevalence and for generating hypotheses about associations between risk factors and health outcomes.
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ScholarGateComparer des méthodes: Ecological Study · Cross-sectional epidemiological study. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare