Liu Qiao, Qin Chenyuan, Zhang Shimo, Liu Jue
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Health Emergency Management Center, Peking University, Beijing, China.
J Glob Health. 2025 Sep 5;15:04254. doi: 10.7189/jogh.15.04254.
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.
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.
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.
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.
已知气象因素会影响传染病的传播。研究中国古代的历史疫情能为环境压力源如何塑造公共卫生提供宝贵见解,对现代疾病控制具有启示意义。我们旨在定量评估公元前674年至公元1911年期间中国气象事件与疫情严重程度之间的关系。
我们从《中国近三千年气象记录总集》中提取数据。我们将疫情事件、后果及相关气象条件数字化,并将它们分类为有序等级。我们使用描述性统计和多变量逻辑回归分析历史时期的年度模式和关联。
我们识别出5338条与疫情相关的记录。虽然报告的疫情数量随时间增加,但在1451年至1911年期间,与气象事件相关的比例每十年下降0.24%(95%置信区间(CI)=0.17-0.31)。洪水频率与更高的疫情严重程度相关:每增加一次洪水,中度(相对于轻度)后果的几率增加42%(95%CI=8-87),严重(相对于中度)后果的几率增加46%(95%CI=12-91)。干旱同样使严重后果的风险增加23%(95%CI=7-41)。饥荒也与疫情严重程度加剧有关,并且是最常与干旱一起共同报告的气象事件之一。
随着全球气候加剧,环境压力源与疫情严重程度之间 的历史关系为现代公共卫生提供了关键教训。易受极端气候影响的地区可能需要有针对性的、基于气候信息的疫情防范和应对策略。