Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan City, Shandong Province, People's Republic of China.
Shandong University Climate Change and Health Center, Jinan City, Shandong Province, People's Republic of China.
Environ Sci Pollut Res Int. 2021 Apr;28(13):16830-16842. doi: 10.1007/s11356-020-12138-4. Epub 2021 Jan 4.
Malaria is a climate-sensitive infectious disease. Many ecological studies have investigated the independent impacts of ambient temperature on malaria. However, the optimal temperature measures of malaria and its interaction with other meteorological factors on malaria transmission are less understood. This study aims to investigate the effect of ambient temperature and its interactions with relative humidity and rainfall on malaria in Suzhou, a temperate climate city in Anhui Province, China. Weekly malaria and meteorological data from 2005 to 2012 were obtained for Suzhou. A distributed lag nonlinear model was conducted to quantify the effect of different temperature measures on malaria. The best measure was defined as that with the minimum quasi-Akaike information criterion. GeoDetector and Poisson regression models were employed to quantify the interactions of temperature, relative humidity, and rainfall on malaria transmission. A total of 13,382 malaria cases were notified in Suzhou from 2005 to 2012. Each 5 °C rise in average temperature over 10 °C resulted in a 22% (95% CI: 17%, 28%) increase in malaria cases at lag of 4 weeks. In terms of cumulative effects from lag 1 to 8 weeks, each 5 °C increase over 10 °C caused a 175% growth in malaria cases (95% CI: 139%, 216%). Average temperature achieved the best performance in terms of model fitting, followed by minimum temperature, most frequent temperature, and maximum temperature. Temperature had an interactive effect on malaria with relative humidity and rainfall. High temperature together with high relative humidity and high rainfall could accelerate the transmission of malaria. Meteorological factors may affect malaria transmission interactively. The research findings could be helpful in the development of weather-based malaria early warning system, especially in the context of climate change for the prevention of possible malaria resurgence.
疟疾是一种对气候敏感的传染病。许多生态研究已经调查了环境温度对疟疾的独立影响。然而,疟疾的最佳温度测量及其与其他气象因素对疟疾传播的相互作用仍知之甚少。本研究旨在探讨环境温度及其与相对湿度和降雨量对中国安徽省温带气候城市苏州疟疾的影响。本研究获取了 2005 年至 2012 年苏州每周的疟疾和气象数据。采用分布式滞后非线性模型量化不同温度测量对疟疾的影响。最佳测量定义为具有最小拟似然信息准则的测量。采用地理探测器和泊松回归模型量化温度、相对湿度和降雨量对疟疾传播的相互作用。2005 年至 2012 年,苏州共报告了 13382 例疟疾病例。平均气温每升高 5°C,滞后 4 周的疟疾病例增加 22%(95%置信区间:17%,28%)。就从滞后 1 周到 8 周的累积效应而言,平均气温每升高 5°C,疟疾病例增加 175%(95%置信区间:139%,216%)。从模型拟合的角度来看,平均温度表现最佳,其次是最低温度、最频繁温度和最高温度。温度与相对湿度和降雨量对疟疾有交互作用。高温加上高相对湿度和高降雨量可能会加速疟疾的传播。气象因素可能会以交互方式影响疟疾的传播。研究结果有助于开发基于天气的疟疾预警系统,特别是在气候变化的背景下,以预防可能出现的疟疾反弹。