Impact of climate change on dengue fever epidemics in South and Southeast Asian settings: A modelling study

被引:19
作者
Wang, Yawen [1 ]
Zhao, Shi [1 ,2 ,3 ]
Wei, Yuchen [1 ,2 ]
Li, Kehang [1 ]
Jiang, Xiaoting [1 ]
Li, Conglu [1 ]
Ren, Chao [4 ]
Yin, Shi [4 ]
Ho, Janice [4 ]
Ran, Jinjun [5 ]
Han, Lefei [6 ]
Zee, Benny Chung-ying [1 ,2 ,3 ]
Chong, Ka Chun [1 ,2 ,3 ,7 ]
机构
[1] Chinese Univ Hong Kong, Jockey Club Sch Publ Hlth & Primary Care, Hong Kong, Peoples R China
[2] Chinese Univ Hong Kong, Ctr Hlth Syst & Policy Res, Hong Kong, Peoples R China
[3] Chinese Univ Hong Kong, Shenzhen Res Inst, Clin Trials & Biostat Lab, Shenzhen, Peoples R China
[4] Univ Hong Kong, Fac Architecture, Dept Architecture, Div Landscape Architecture, Hong Kong, Peoples R China
[5] Shanghai Jiao Tong Univ, Sch Publ Hlth, Sch Med, Shanghai, Peoples R China
[6] Shanghai Jiao Tong Univ, Chinese Ctr Trop Dis Res, Sch Global Hlth, Sch Med, Shanghai, Peoples R China
[7] Prince Wales Hosp, Jockey Club Sch Publ Hlth & Primary Care, Shatin, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Temperature; Rainfall; Extreme weather event; Dengue fever; SENSITIVITY-ANALYSIS; TRANSMISSION; TEMPERATURE; METHODOLOGY; VECTOR;
D O I
10.1016/j.idm.2023.05.008
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The potential for dengue fever epidemic due to climate change remains uncertain in tropical areas. This study aims to assess the impact of climate change on dengue fever transmission in four South and Southeast Asian settings. We collected weekly data of dengue fever incidence, daily mean temperature and rainfall from 2012 to 2020 in Singapore, Colombo, Selangor, and Chiang Mai. Projections for temperature and rainfall were drawn for three Shared Socioeconomic Pathways (SSP126, SSP245, and SSP585) scenarios. Using a disease transmission model, we projected the dengue fever epidemics until 2090s and determined the changes in annual peak incidence, peak time, epidemic size, and outbreak duration. A total of 684,639 dengue fever cases were reported in the four locations between 2012 and 2020. The projected change in dengue fever transmission would be most significant under the SSP585 scenario. In comparison to the 2030s, the peak incidence would rise by 1.29 times in Singapore, 2.25 times in Colombo, 1.36 times in Selangor, and >10 times in Chiang Mai in the 2090s under SSP585. Additionally, the peak time was projected to be earlier in Singapore, Colombo, and Selangor, but be later in Chiang Mai under the SSP585 scenario. Even in a milder emission scenario of SSP126, the epidemic size was projected to increase by 5.94%, 10.81%, 12.95%, and 69.60% from the 2030s-2090s in Singapore, Colombo, Selangor, and Chiang Mai, respectively. The outbreak durations in the four settings were projected to be prolonged over this century under SSP126 and SSP245, while a slight decrease is expected in 2090s under SSP585. The results indicate that climate change is expected to increase the risk of dengue fever transmission in tropical areas of South and Southeast Asia. Limiting greenhouse gas emissions could be crucial in reducing the transmission of dengue fever in the future. & COPY; 2023 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:645 / 655
页数:11
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