Luo Wei, Liu Zhihao, Ran Yiding, Li Mengqi, Zhou Yuxuan, Hou Weitao, Lai Shengjie, Li Sabrina L, Yin Ling
GeoSpatialX Lab, Department of Geography, National University of Singapore, Singapore, Singapore.
Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
medRxiv. 2024 Mar 26:2024.03.25.24304825. doi: 10.1101/2024.03.25.24304825.
The enforcement of COVID-19 interventions by diverse governmental bodies, coupled with the indirect impact of COVID-19 on short-term environmental changes (e.g. plant shutdowns lead to lower greenhouse gas emissions), influences the dengue vector. This provides a unique opportunity to investigate the impact of COVID-19 on dengue transmission and generate insights to guide more targeted prevention measures. We aim to compare dengue transmission patterns and the exposure-response relationship of environmental variables and dengue incidence in the pre- and during-COVID-19 to identify variations and assess the impact of COVID-19 on dengue transmission. We initially visualized the overall trend of dengue transmission from 2012-2022, then conducted two quantitative analyses to compare dengue transmission pre-COVID-19 (2017-2019) and during-COVID-19 (2020-2022). These analyses included time series analysis to assess dengue seasonality, and a Distributed Lag Non-linear Model (DLNM) to quantify the exposure-response relationship between environmental variables and dengue incidence. We observed that all subregions in Thailand exhibited remarkable synchrony with a similar annual trend except 2021. Cyclic and seasonal patterns of dengue remained consistent pre- and during-COVID-19. Monthly dengue incidence in three countries varied significantly. Singapore witnessed a notable surge during-COVID-19, particularly from May to August, with cases multiplying several times compared to pre-COVID-19, while seasonality of Malaysia weakened. Exposure-response relationships of dengue and environmental variables show varying degrees of change, notably in Northern Thailand, where the peak relative risk for the maximum temperature-dengue relationship rose from about 3 to 17, and the max RR of overall cumulative association 0-3 months of relative humidity increased from around 5 to 55. Our study is the first to compare dengue transmission patterns and their relationship with environmental variables before and during COVID-19, showing that COVID-19 has affected dengue transmission at both the national and regional level, and has altered the exposure-response relationship between dengue and the environment.
不同政府机构对新冠疫情防控措施的执行,再加上新冠疫情对短期环境变化的间接影响(例如工厂停产导致温室气体排放量降低),对登革热传播媒介产生了影响。这为研究新冠疫情对登革热传播的影响并得出见解以指导更具针对性的预防措施提供了独特机会。我们旨在比较新冠疫情之前和期间登革热的传播模式以及环境变量与登革热发病率之间的暴露 - 反应关系,以识别变化并评估新冠疫情对登革热传播的影响。我们首先可视化了2012 - 2022年登革热传播的总体趋势,然后进行了两项定量分析,以比较新冠疫情之前(2017 - 2019年)和期间(2020 - 2022年)的登革热传播情况。这些分析包括评估登革热季节性的时间序列分析,以及量化环境变量与登革热发病率之间暴露 - 反应关系的分布滞后非线性模型(DLNM)。我们观察到,泰国所有次区域除2021年外都表现出显著的同步性和相似的年度趋势。新冠疫情之前和期间登革热的周期性和季节性模式保持一致。三个国家的月度登革热发病率差异显著。新加坡在新冠疫情期间出现了显著激增,特别是从5月到8月,病例数相比新冠疫情之前增加了数倍,而马来西亚的季节性减弱。登革热与环境变量的暴露 - 反应关系呈现出不同程度的变化,特别是在泰国北部,最高温度与登革热关系的峰值相对风险从约3上升到17,相对湿度总体累积关联0 - 3个月的最大相对风险从约5增加到55。我们的研究首次比较了新冠疫情之前和期间登革热的传播模式及其与环境变量的关系,表明新冠疫情在国家和区域层面都影响了登革热传播,并改变了登革热与环境之间的暴露 - 反应关系。