Evidence map›Paper›PMID 40910545›Full record

Observational studyJournal of global health2025

Trends of infectious diseases, epidemic patterns, and the association with meteorological events: 2500 years of evidence from an observational study.

Qiao Liu, Chenyuan Qin, Shimo Zhang, Jue Liu

Abstract readHistorical ArticleObservational Study
In one paragraph

Observational study in Journal of global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Qiao LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Chenyuan QinDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Shimo ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jue LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Meteorological factors are known to influence the transmission of infectious diseases. Studying historical epidemics in ancient China provides valuable insights into how environmental stressors shaped public health, with implications for modern disease control. We aimed to quantitatively assess the relationship between meteorological events and epidemic severity in China from 674 BC to 1911 AD. Methods: We extracted data from 'A Compendium of Chinese Meteorological Records of the Last 3000 Years'. We digitised epidemic events, consequences, and associated meteorological conditions and categorised them into ordinal levels. We used descriptive statistics and multivariable logistic regression to analyse annual patterns and associations across historical periods. Results: We identified 5338 epidemic-related records. While the number of reported epidemics increased over time, the proportion associated with meteorological events declined by 0.24% (95% confidence interval (CI) = 0.17-0.31) per decade between 1451 and 1911. Flood frequency was associated with higher epidemic severity: each additional flood increased the odds of moderate (vs. mild) consequences by 42% (95% CI = 8-87) and severe (vs. moderate) consequences by 46% (95% CI = 12-91). Droughts similarly raised the risk of severe consequences by 23% (95% CI = 7-41). Famines were also linked with heightened epidemic severity and were among the most commonly co-reported meteorological events, along with drought. Conclusions: As global climate intensifies, the historical relationship between environmental stressors and epidemic severity offers crucial lessons for modern public health. Regions vulnerable to climate extremes may require targeted, climate-informed epidemic preparedness and response strategies.

Indexed as

Communicable DiseasesEpidemicsMeteorological ConceptsWeatherChinaHistory, 16th CenturyHistory, 17th CenturyHistory, 18th CenturyHistory, 19th CenturyHistory, 20th CenturyHistory, MedievalHumans

Identifiers

PMID40910545
PMCPMC12412270

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.