{"title":"Trends of infectious diseases, epidemic patterns, and the association with meteorological events: 2500 years of evidence from an observational study.","authors":"Qiao Liu, Chenyuan Qin, Shimo Zhang, Jue Liu","doi":"10.7189/jogh.15.04254","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":48734,"journal":{"name":"Journal of Global Health","volume":"15 ","pages":"04254"},"PeriodicalIF":4.3000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12412270/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Global Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.7189/jogh.15.04254","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
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.
背景:众所周知,气象因素会影响传染病的传播。研究中国古代历史上的流行病,为了解环境压力因素如何影响公众健康提供了有价值的见解,并对现代疾病控制具有启示意义。本文旨在定量评估公元前674年至公元1911年中国气象事件与流行病严重程度之间的关系。方法:从《中国近3000年气象记录纲要》中提取资料。我们将流行病事件、后果和相关气象条件数字化,并将其分类为顺序级别。我们使用描述性统计和多变量逻辑回归来分析不同历史时期的年度模式和关联。结果:我们确定了5338条与流行病相关的记录。1451年至1911年期间,虽然报告的流行病数量随着时间的推移而增加,但与气象事件相关的比例每十年下降0.24%(95%可信区间(CI) = 0.17-0.31)。洪水频率与较高的流行病严重程度相关:每增加一次洪水,发生中度(相对于轻度)后果的几率增加42% (95% CI = 8-87),发生严重(相对于中度)后果的几率增加46% (95% CI = 12-91)。干旱同样将严重后果的风险提高了23% (95% CI = 7-41)。饥荒还与流行病严重程度加剧有关,是最常与干旱一起报告的气象事件。结论:随着全球气候的加剧,环境压力源与流行病严重程度之间的历史关系为现代公共卫生提供了重要的经验教训。易受极端气候影响的地区可能需要有针对性的、了解气候的流行病防范和应对战略。
期刊介绍:
Journal of Global Health is a peer-reviewed journal published by the Edinburgh University Global Health Society, a not-for-profit organization registered in the UK. We publish editorials, news, viewpoints, original research and review articles in two issues per year.