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Unraveling varying spatiotemporal patterns of dengue and associated exposure-response relationships with environmental variables in Southeast Asian countries before and during COVID-19.
Luo, Wei; Liu, Zhihao; Ran, Yiding; Li, Mengqi; Zhou, Yuxuan; Hou, Weitao; Lai, Shengjie; Li, Sabrina L; Yin, Ling.
Affiliation
  • Luo W; GeoSpatialX Lab, Department of Geography, National University of Singapore, Singapore, Singapore.
  • Liu Z; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Ran Y; School of Geosciences, Yangtze University, Wuhan, China.
  • Li M; GeoSpatialX Lab, Department of Geography, National University of Singapore, Singapore, Singapore.
  • Zhou Y; Department of Geography, University of Zurich, Zurich, Switzerland.
  • Hou W; Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Lai S; School of Design and the Built Environment, Curtin University, Perth, Australia.
  • Li SL; WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, United Kingdom.
  • Yin L; School of Geography, University of Nottingham, Nottingham, United Kingdom.
medRxiv ; 2024 Mar 26.
Article in En | MEDLINE | ID: mdl-38585938
ABSTRACT
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: MedRxiv Year: 2024 Document type: Article Affiliation country: Singapur

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: MedRxiv Year: 2024 Document type: Article Affiliation country: Singapur