Summary
Epidemiology is the scientific discipline that describes how health states and diseases are distributed within populations and investigates the factors that influence their occurrence. By integrating data on person, place and time, epidemiologists map patterns of illness—ranging from infectious outbreaks to chronic conditions—and quantify their frequency through measures such as incidence and prevalence. Analytic designs then test hypotheses about determinants by comparing affected and unaffected groups, while modelling frameworks forecast trends and evaluate the potential impact of interventions. Advances in data linkage, high‐throughput biomonitoring and computational methods have strengthened causal inference and enabled real‐time surveillance. Ultimately, epidemiology underpins public‐health policy, guides resource allocation and supports evidence‐based strategies to prevent disease and reduce health inequities globally.
Research from Nature Portfolio
A study using ecological niche models has formally quantified the role of long‐term climate warming in expanding the area at risk of West Nile virus in Europe. By comparing factual climate trends with a counterfactual no‐warming scenario, researchers have shown that climate change has substantially increased the area suitable for virus circulation, exposing millions more people to potential infection. In settings aiming for malaria elimination, a stochastic metapopulation framework fitted to travel and local prevalence data in Zanzibar has distinguished cases as imported, introduced or indigenous. Simulations indicate that reactive case detection and reactive drug administration can dramatically suppress local transmission, but elimination within decades requires concurrent transmission reductions on the mainland. Finally, an innovative graphical calculus—termed epidemic graph diagrams—has been introduced to compute epidemic thresholds directly from detailed contact, progression and intervention data. This approach yields exact threshold expressions without oversimplification, facilitating comparison and model selection in data‐rich settings.
Topic trend for the past 5 years
The graph below shows the article count in Nature Index journals for epidemiology.
* The ‘Current Index’ represents data for a 12-month rolling window, the current window is 1 May 2025 - 30 April 2026.
Technical terms
Incidence: The rate at which new cases of a disease occur in a defined population over a specified period.
Prevalence: The proportion of a population that has a particular disease or health condition at a given point in time.
Risk ratio: The ratio of the probability of an outcome in an exposed group to that in an unexposed group.
Attributable fraction: The proportion of cases in the exposed group that can be attributed to the exposure, estimating potential prevention if exposure were eliminated.
Sentinel surveillance: The systematic collection of high‐quality data from selected sites or populations to monitor disease trends as proxies for wider patterns.
Compartmental model: A mathematical framework that divides a population into discrete states (e.g. susceptible, infected, recovered) with rules governing transitions between them.
Notable articles in epidemiology
- Contribution of climate change to the spatial expansion of West Nile virus in Europe. Nature Communications (2024).
- Modelling the impact of interventions on imported, introduced and indigenous malaria infections in Zanzibar, Tanzania. Nature Communications (2023).
- Epidemic graph diagrams as analytics for epidemic control in the data-rich era. Nature Communications (2023).
- Short term exposure to air pollution and stroke: systematic review and meta-analysis. The BMJ (2015).
About these summaries
This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.
Research
Position of Epidemiology in Nature Index by Count
Leading institutions
| Institution | Count | Share |
|---|---|---|
| Fudan University | 26 | 12.83 |
| Harvard University | 44 | 11.82 |
| National Institutes of Health (NIH) | 27 | 9.59 |
| Chinese Center for Disease Control and Prevention (China CDC) | 33 | 8.08 |
| Emory University | 19 | 7.62 |
| Peking University (PKU) | 27 | 7.35 |
| Sun Yat-sen University (SYSU) | 23 | 6.95 |
| Anhui Medical University (AHMU) | 11 | 5.52 |
| Huazhong University of Science and Technology (HUST) | 12 | 5.46 |
| Yale University | 16 | 5.39 |
Leading countries/territories
| Countries/territories | Count | Share |
|---|---|---|
| United States of America (USA) | 227 | 147.94 |
| China | 164 | 139.95 |
| United Kingdom (UK) | 69 | 27.19 |
| Canada | 49 | 22.66 |
| South Korea | 28 | 18.87 |
| France | 39 | 15.29 |
| Australia | 38 | 15.05 |
| Japan | 26 | 14.61 |
| Netherlands | 37 | 12.3 |
| Sweden | 29 | 12.18 |
Collaboration
Top 5 leading collaborators in Epidemiology
Collaborating institutions
Note: Hover over the bars to view details about each institution's Share.
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