Journal of Shandong University (Health Sciences) ›› 2025, Vol. 63 ›› Issue (4): 100-105.doi: 10.6040/j.issn.1671-7554.0.2024.0896

• Public Health & Preventive Medicine • Previous Articles     Next Articles

Association between extreme precipitation and other infectious diarrhea in China from 2014 to 2019

ZHANG Xiaochi1, LYU Tingting2, YU Wenhao1, LI Guoao1, GAO Shanshan3,4, ZHAO Qi1, WANG Liyou2   

  1. 1. Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China;
    2. Dezhou Center for Disease Control and Prevention, Dezhou 253700, Shandong, China;
    3. Department of Gastroenterology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan 250014, Shandong, China;
    4. Department of Occupational and Environmental Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China
  • Online:2025-04-10 Published:2025-04-08

Abstract: Objective To provide a foundation for developing targeted prevention and control measures for other infectious diarrhea(OID)by investigating the association between extreme precipitation and the risk of in China from 2014 to 2019, and assessing the impact of climatic characteristics and drought levels on the OID risk associated with extreme precipitation. Methods Data on OID cases and hydrometeorological conditions were collected from 31 provinces, municipalities, and autonomous regions of China between 2014 and 2019. A two-stage time series analysis based on quasi-Poisson regression was employed to quantify the association between the frequency of extreme precipitation events and the risk of OID. Additionally, the modifying effects of natural sub-regions and drought levels(quantified by the 6-month standardized precipitation evapotranspiration index)were analyzed. Results A total of 5,595,698 OID cases were reported in the study area from 2014 to 2019. A significant positive association between the frequency of extreme precipitation events and the risk of OID was observed, with a relative risk of 1.03(95%CI: 1.03-1.04). The risk of OID associated with extreme precipitation was highest in the warm-temperate humid and sub-humid north China. In contrast, the risk in the subtropical humid central and south China, the tropic humid south China, and the temperate and warm-temperate desert of northwest China was significantly lower than in the warm-temperate humid and sub-humid north China(P<0.05). The modifying effect of drought levels was significant, with a higher risk of diarrhea associated with extreme precipitation under high drought conditions. Conclusion The frequency of extreme precipitation events is positively associated with the risk of OID which has provided a foundation for the development of region-specific prevention measures for OID.

Key words: Extreme precipitation, Other infectious diarrhea, Time series analysis, Association study

CLC Number: 

  • R183
[1] Li L, Sun MX, Zhao J. Other infectious diarrhea[M] //Radiology of infectious diseases: Volume 2. Dordrecht: Netherlands, 2015: 171-186.
[2] 汤家炜, 汤其宁, 朱时雨, 等. 2015—2019年中国法定传染病发病趋势分析 [J]. 医学动物防制, 2024, 40(1): 4-7. TANG Jiawei, TANG Qining, ZHU Shiyu, et al. Analysis of the incidence trend of notifiable infectious diseases in China from 2015 to 2019[J]. Journal of Medical Pest Control, 2024, 40(1): 4-7.
[3] Baral R, Nonvignon J, Debellut F, et al. Cost of illness for childhood diarrhea in low- and middle-income countries: a systematic review of evidence and modelled estimates[J]. BMC Public Health, 2020, 20(1): 619. doi:10.1186/s12889-020-08595-8
[4] 劳家辉, 刘志东, 刘言玉, 等. 成都市暴雨洪涝灾害对其它感染性腹泻发病影响及脆弱人群分析[J]. 中国公共卫生, 2019, 35(8): 1046-1049. LAO Jiahui, LIU Zhidong, LIU Yanyu, et al. Influence of floods on incidence of other infectious diarrhea and vulnerable population in Chengdu City[J]. Chinese Journal of Public Health, 2019, 35(8): 1046-1049.
[5] 高璐. 暴雨洪涝相关敏感传染病的筛选及预估研究: 以安徽省为例[D]. 济南: 山东大学, 2016.
[6] 李燃. 气象因素所致感染性腹泻关联分析与风险评估[D]. 成都: 成都医学院, 2023.
[7] Wang P, Asare EO, Pitzer VE, et al. Floods and diarrhea risk in young children in low- and middle-income countries[J]. JAMA Pediatr, 2023, 177(11): 1206-1214.
[8] Calvin K, Dasgupta D, Krinner G, et al. Climate change 2023: synthesis report, summary for policymakers. contribution of working groups I, II and III to the sixth assessment report of the intergovernmental panel on climate change [R]. Geneva: IPCC, 2023: 1-34.
[9] Kraay ANM, Man O, Levy MC, et al. Understanding the impact of rainfall on diarrhea: testing the concentration-dilution hypothesis using a systematic review and meta-analysis[J]. Environ Health Perspect, 2020, 128(12): 126001. doi:10.1289/EHP6181
[10] Wang LC, Wang JH, He F, et al. Spatial-temporal variation of extreme precipitation in the Yellow-Huai-Hai-Yangtze Basin of China[J]. Sci Rep, 2023, 13: 9312. doi:10.1038/s41598-023-36470-0
[11] 中华人民共和国卫生部. 感染性腹泻诊断标准: WS 271—2007[S]. 北京: 人民卫生出版社, 2007.
[12] 吴佳, 高学杰. 一套格点化的中国区域逐日观测资料及与其它资料的对比[J]. 地球物理学报, 2013, 56(4): 1102-1111. WU Jia, GAO Xuejie. A gridded daily observation dataset over China region and comparison with the other datasets[J]. Chinese Journal of Geophysics, 2013, 56(4): 1102-1111.
[13] 中华人民共和国自然资源部. 国家地理信息公共服务平台 [EB/OL].(2024-04-24)[2024-07-15]. https://www.tianditu.gov.cn/
[14] 赵松乔.中国综合自然地理区划的一个新方案[J].地理学报,1983, 38(1): 1-10. ZHAO Songqiao. A new scheme for comprehensive physical regionalization in China[J]. Acta Geographica Sinica, 1983, 38(1): 1-10.
[15] Zhang XB, Alexander L, Hegerl GC, et al. Indices for monitoring changes in extremes based on daily temperature and precipitation data[J]. Wires Clim Change, 2011, 2(6): 851-870.
[16] Myhre G, Alterskjær K, Stjern CW, et al. Frequency of extreme precipitation increases extensively with event rareness under global warming[J]. Sci Rep, 2019, 9(1): 16063. doi:10.1038/s41598-019-52277-4
[17] 中华人民共和国国家质量监督检验检疫总局. 气象干旱等级: GB/T 20481-2017[S]. 北京:中国标准出版社, 2017.
[18] Wang P, Asare E, Pitzer VE, et al. Associations between long-term drought and diarrhea among children under five in low- and middle-income countries[J]. Nat Commun, 2022, 13(1): 3661. doi:10.1038/s41467-022-31291-7
[19] Balting DF, AghaKouchak A, Lohmann G, et al. Northern Hemisphere drought risk in a warming climate[J]. NPJ Clim Atmos Sci, 2021, 4: 61. doi:10.1038/s41612-021-00218-2
[20] Gasparrini A, Armstrong B, Kenward MG. Multivariate meta-analysis for non-linear and other multi-parameter associations[J]. Stat Med, 2012, 31(29): 3821-3839.
[21] 郝强, 高琦, 赵然, 等. 2014—2016年气温和相对湿度对深圳市5岁以下儿童轮状病毒腹泻的影响[J]. 山东大学学报(医学版), 2022, 60(2): 89-95. HAO Qiang, GAO Qi, ZHAO Ran, et al. Effects of ambient temperature and relative humidity on rotavirus diarrhea among children under 5 years old in Shenzhen City during 2014-2016[J]. Journal of Shandong University(Health Sciences), 2022, 60(2): 89-95.
[22] Altman DG, Martin Bland J. Interaction revisited: the difference between two estimates[J]. BMJ, 2003, 326(7382): 219. doi:10.1136/bmj.326.7382.219
[23] 姜宝法, 丁国永, 刘雪娜. 暴雨洪涝与人类健康关系的研究进展[J]. 山东大学学报(医学版), 2018, 56(8): 21-28. JIANG Baofa, DING Guoyong, LIU Xuena. Research progress on the relationship between floods and human health[J]. Journal of Shandong University(Health Science), 2018, 56(8): 21-28.
[24] Du SC, Chien LC, Bush KF, et al. Short-term associations between precipitation and gastrointestinal illness-related hospital admissions: a multi-city study in Texas[J]. Sci Total Environ, 2024, 951: 175247. doi:10.1016/j.scitotenv.2024.175247
[25] Mertens A, Balakrishnan K, Ramaswamy P, et al. Associations between high temperature, heavy rainfall, and diarrhea among young children in rural Tamil Nadu, India: a prospective cohort study[J]. Environ Health Perspect, 2019, 127(4): 47004. doi:10.1289/EHP3711
[26] Bradatan C, Dennis JA, Flores-Yeffal N, et al. Child health, household environment, temperature and rainfall anomalies in Honduras: a socio-climate data linked analysis[J]. Environ Health, 2020, 19(1): 10. doi:10.1186/s12940-020-0560-9
[27] 朱耿睿, 李育. 基于柯本气候分类的1961—2013年我国气候区类型及变化[J]. 干旱区地理, 2015, 38(6): 1121-1132. ZHU Gengrui, LI Yu. Types and changes of Chinese climate zones from 1961 to 2013 based on Köppen climate classification[J]. Arid Land Geography, 2015, 38(6): 1121-1132.
[28] 张静. 2014—2016年降水和温度对北京市其他感染性腹泻的影响[D]. 济南: 山东大学, 2019.
[29] 周士夏, 张海洋, 王丽萍, 等. 基于分布滞后非线性模型探讨上海市诺如病毒感染性腹泻的发病与气象因素的关联[J]. 中华疾病控制杂志, 2021, 25(10): 1180-1185. ZHOU Shixia, ZHANG Haiyang, WANG Liping, et al. Exploration of the association between meteorological factors and positive rate of norovirus infectious diarrhea based on the distributed lag non-linear model in Shanghai[J]. Chinese Journal of Disease Control & Prevention, 2021, 25(10): 1180-1185.
[30] Dimitrova A, McElroy S, Levy M, et al. Precipitation variability and risk of infectious disease in children under 5 years for 32 countries: a global analysis using demographic and health survey data[J]. Lancet Planet Health, 2022, 6(2): e147-e155.
[31] Yu JF, Zhao L, Liang XZ, et al. The mediatory role of water quality on the association between extreme precipitation events and infectious diarrhea in the Yangtze River Basin, China[J]. Fundam Res, 2024, 4(3): 495-504.
[32] Wu XX, Lu YM, Zhou S, et al. Impact of climate change on human infectious diseases: empirical evidence and human adaptation[J]. Environ Int, 2016, 86: 14-23. doi:10.1016/j.envint.2015.09.007
[33] 杨廉平, 刘立, 刘雨晨, 等. 暴雨洪涝影响感染性腹泻发病的环境-社会因素与社会驱动过程模型构建[J]. 环境与职业医学, 2022, 39(3): 296-303. YANG Lianping, LIU Li, LIU Yuchen, et al. Review on environmental-social factors and social driving process model construction of infectious diarrhea affected by rainstorm and flood[J]. Journal of Environmental and Occupational Medicine, 2022, 39(3): 296-303.
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