Unraveling varying spatiotemporal patterns of Dengue Fever and associated exposure-response relationships with environmental variables in three Southeast Asian countries before and during COVID-19
Unraveling varying spatiotemporal patterns of Dengue Fever and associated exposure-response relationships with environmental variables in three Southeast Asian countries before and during COVID-19
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 Fever (DF) vector. This provides a unique opportunity to investigate the indirect impact of COVID-19 on DF transmission and generate insights for targeted prevention measures. We aim to compare DF transmission patterns and the exposure-response relationship of environmental variables and DF incidence in the pre- and during-COVID-19 to identify variations and assess the indirect impact of COVID-19 on DF transmission. We initially visualized the overall trend of DF transmission from 2017-2022, then conducted two quantitative analyses to compare DF transmission pre-COVID-19 (2017-2019) and during-COVID-19 (2020-2022). These analyses included time series analysis to assess DF seasonality, and a Distributed Lag Non-linear Model (DLNM) to quantify the exposure-response relationship between environmental variables and DF incidence. We observed a notable surge in Singapore during-COVID-19, particularly from May to August in 2020 and 2022, with cases multiplying several times compared to pre-COVID-19. All subregions in Thailand exhibited remarkable synchrony with a similar annual trend except 2021. Cyclic patterns remained generally consistent, but seasonal variability in Singapore has become increasingly pronounced. Monthly DF incidence in three countries varied significantly. Exposure-response relationships of DF and environmental variables show varying degrees of change, notably in Northern Thailand, where the peak relative risk for the maximum temperature-DF relationship rose from about 3-17, and the max RR of overall cumulative association 0-3 months of relative humidity increased from around 4-40. Our study is the first to compare DF transmission patterns and their relationship with environmental variables before and during COVID-19, demonstrating that the pandemic has affected DF transmission and altered the exposure-response relationship at both national and regional levels.
Animals, Asia, Southeastern/epidemiology, COVID-19/epidemiology, Dengue/epidemiology, Humans, Incidence, Seasons, Singapore/epidemiology, Spatio-Temporal Analysis
e0012096
Luo, Wei
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Liu, Zhihao
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Ran, Yiding
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Li, Mengqi
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Zhou, Yuxuan
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Hou, Weitao
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Lai, Shengjie
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Li, Sabrina L.
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Yin, Ling
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April 2025
Luo, Wei
82e9edb3-57e2-4ccb-b838-5248a839b1eb
Liu, Zhihao
3f3af88f-1a26-435c-bf20-a1e4122868f2
Ran, Yiding
b08ca90c-9f7d-4a44-a97d-9704aacb3283
Li, Mengqi
0f25ef53-9ada-41f9-bf8f-c0a1a81e5ce8
Zhou, Yuxuan
506d8d9c-cb29-4c6a-b706-6bc238d213f9
Hou, Weitao
04170ff5-2727-4b64-a4fd-84658f3cae56
Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Li, Sabrina L.
5a28353b-c2e3-427d-955d-6f517aad7d28
Yin, Ling
fe6cda57-b1f7-4adb-878a-fa9909bba1bf
Luo, Wei, Liu, Zhihao, Ran, Yiding, Li, Mengqi, Zhou, Yuxuan, Hou, Weitao, Lai, Shengjie, Li, Sabrina L. and Yin, Ling
(2025)
Unraveling varying spatiotemporal patterns of Dengue Fever and associated exposure-response relationships with environmental variables in three Southeast Asian countries before and during COVID-19.
PLoS Neglected Tropical Diseases, 19 (4), , [e0012096].
(doi:10.1371/journal.pntd.0012096).
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 Fever (DF) vector. This provides a unique opportunity to investigate the indirect impact of COVID-19 on DF transmission and generate insights for targeted prevention measures. We aim to compare DF transmission patterns and the exposure-response relationship of environmental variables and DF incidence in the pre- and during-COVID-19 to identify variations and assess the indirect impact of COVID-19 on DF transmission. We initially visualized the overall trend of DF transmission from 2017-2022, then conducted two quantitative analyses to compare DF transmission pre-COVID-19 (2017-2019) and during-COVID-19 (2020-2022). These analyses included time series analysis to assess DF seasonality, and a Distributed Lag Non-linear Model (DLNM) to quantify the exposure-response relationship between environmental variables and DF incidence. We observed a notable surge in Singapore during-COVID-19, particularly from May to August in 2020 and 2022, with cases multiplying several times compared to pre-COVID-19. All subregions in Thailand exhibited remarkable synchrony with a similar annual trend except 2021. Cyclic patterns remained generally consistent, but seasonal variability in Singapore has become increasingly pronounced. Monthly DF incidence in three countries varied significantly. Exposure-response relationships of DF and environmental variables show varying degrees of change, notably in Northern Thailand, where the peak relative risk for the maximum temperature-DF relationship rose from about 3-17, and the max RR of overall cumulative association 0-3 months of relative humidity increased from around 4-40. Our study is the first to compare DF transmission patterns and their relationship with environmental variables before and during COVID-19, demonstrating that the pandemic has affected DF transmission and altered the exposure-response relationship at both national and regional levels.
Text
journal.pntd.0012096
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Submitted date: 26 March 2024
Accepted/In Press date: 6 April 2025
e-pub ahead of print date: 28 April 2025
Published date: April 2025
Keywords:
Animals, Asia, Southeastern/epidemiology, COVID-19/epidemiology, Dengue/epidemiology, Humans, Incidence, Seasons, Singapore/epidemiology, Spatio-Temporal Analysis
Identifiers
Local EPrints ID: 501869
URI: http://eprints.soton.ac.uk/id/eprint/501869
ISSN: 1935-2727
PURE UUID: 913807f6-15d6-4da9-8521-f335fe270a72
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Date deposited: 11 Jun 2025 16:52
Last modified: 04 Sep 2025 02:26
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Author:
Wei Luo
Author:
Zhihao Liu
Author:
Yiding Ran
Author:
Mengqi Li
Author:
Yuxuan Zhou
Author:
Weitao Hou
Author:
Sabrina L. Li
Author:
Ling Yin
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