DST-Mahamana Centre of Excellence in Climate Change Research, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, India; University Grant Commission, Ministry of Human Resource Development, New Delhi, India.
DST-Mahamana Centre of Excellence in Climate Change Research, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, India.
Acta Trop. 2020 Dec;212:105701. doi: 10.1016/j.actatropica.2020.105701. Epub 2020 Sep 18.
India and other Southeast Asian countries are severely affected by Japanese encephalitis (JE), one of the deadliest vector-borne disease threat to human health. Several epidemiological observations suggest climate variables play a role in providing a favorable environment for mosquito development and virus transmission. In this study, generalized additive models were used to determine the association of JE admissions and mortality with climate variables in Gorakhpur district, India, from 2001-2016. The model predicted that every 1 unit increase in mean (Tmean;°C), and minimum (Tmin;°C) temperature, rainfall (RF; mm) and relative humidity (RH; %) would on average increase the JE admissions by 22.23 %, 17.83 %, 0.66 %, and 5.22 % respectively and JE mortality by 13.27 %, 11.77 %, 0.94 %, and 3.27 % respectively Conversely, every unit decrease in solar radiation (Srad; MJ/m/day) and wind speed (WS; Kmph) caused an increase in JE admission by 17% and 11.42% and in JE mortality by 9.37% and 4.88% respectively suggesting a protective effect at higher levels. The seasonal analysis shows that temperature was significantly associated with JE in pre-monsoon and post-monsoon while RF, RH, Srad, and WS are associated with the monsoon. Effect modification due to age and gender showed an equal risk for both genders and increased risk for adults above 15 years of age, however, males and age groups under 15 years outnumbered females and adults. Sensitivity analysis results to explore lag effects in climate variables showed that climate variables show the strongest association at lag 1 to 1.5 months with significant lag effect up tp lag 0-60 days. The exposure-response curve for climate variables showed a more or less linear relationship, with an increase in JE admissions and mortality after a certain threshold and decrease were reported at extreme levels of exposure. The study concludes that climate variables could influence the JE vector development and multiplication and parasite maturation and transmission in the Gorakhpur region whose indirect impact was noted for JE admission and mortality. In response to the changing climate, public health interventions, public awareness, and early warning systems would play an unprecedented role to compensate for future risk.
印度和其他东南亚国家深受日本脑炎 (JE) 的影响,这是对人类健康最致命的虫媒病威胁之一。几项流行病学观察表明,气候变量在为蚊子的发育和病毒传播提供有利环境方面发挥了作用。在这项研究中,使用广义加性模型来确定 2001-2016 年印度戈勒克布尔地区 JE 入院和死亡率与气候变量的关联。该模型预测,平均温度 (Tmean;°C)、最低温度 (Tmin;°C)、降雨量 (RF;mm) 和相对湿度 (RH;%) 每增加 1 个单位,JE 入院人数将分别平均增加 22.23%、17.83%、0.66%和 5.22%,JE 死亡率将分别增加 13.27%、11.77%、0.94%和 3.27%。相反,太阳辐射 (Srad;MJ/m/day) 和风速 (WS;Kmph) 每减少一个单位,JE 入院人数就会增加 17%和 11.42%,JE 死亡率就会增加 9.37%和 4.88%,表明在较高水平上具有保护作用。季节分析表明,温度与季风前和季风后的 JE 显著相关,而 RF、RH、Srad 和 WS 与季风有关。由于年龄和性别造成的效应修饰表明,两性风险相等,15 岁以上成年人的风险增加,但男性和 15 岁以下年龄组的人数超过女性和成年人。探索气候变量滞后效应的敏感性分析结果表明,气候变量在滞后 1 至 1.5 个月时与 JE 具有最强的关联,滞后 0-60 天时具有显著的滞后效应。气候变量的暴露-反应曲线显示出或多或少的线性关系,JE 入院人数和死亡率在达到一定阈值后增加,在暴露水平极端时减少。研究得出结论,气候变量可能会影响戈勒克布尔地区 JE 传播媒介的发育和繁殖以及寄生虫的成熟和传播,其对 JE 入院和死亡率的间接影响已得到证实。为应对气候变化,公共卫生干预措施、公众意识和早期预警系统将发挥前所未有的作用,以弥补未来的风险。