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| 생태학 연구× | 횡단면 역학 연구× | |
|---|---|---|
| 분야 | 역학 | 역학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 19th century (Snow 1854); formalised mid-20th century | 1960s (formal codification); widely practiced since mid-20th century |
| 창시자≠ | Various; foundational work by John Snow (1854) and systematised in modern form by Brian MacMahon and colleagues | Classical epidemiology tradition; systematized by Brian MacMahon and Thomas Pugh (1960s) |
| 유형≠ | Observational epidemiological study | Observational, descriptive/analytic epidemiological design |
| 원전≠ | Morgenstern, 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 |
| 별칭 | aggregate study, correlational study, ecological correlation study, population-level study | prevalence study, cross-sectional survey, transversal study, cross-sectional design |
| 관련≠ | 5 | 6 |
| 요약≠ | An 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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