Association Between Climatic Variables and Dengue Incidence in a Mekong Delta Province

Dengue is a significant public health concern in tropical countries. This study explored the short-term associations between monthly climatic variables and dengue incidence. Dengue cases and weather parameters from 2001 to 2023 were collected in Can Tho City, a central province of the Mekong Delta, Vietnam. A quasi-Poisson regression with a distributed lag linear model was employed to determine the associations. A total of 32 265 dengue cases were collected. Of these cases, 53.7% were male, and 64.1% were under 15. Each 5% increase in relative humidity was associated with a 19.3% increase in dengue cases. Each 1°C increase in average temperature was associated with a 13.8% increase in dengue cases. Rainfall showed a negative effect, with each 5 mm increase in rainfall decreasing cases by 1.3%. Wind velocity showed no significant impact. The study demonstrated that relative humidity and temperature are key predictors for dengue forecasting and prevention.

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Publication Details

Journal
Asia Pacific Journal of Public Health
Published
2025-09-21
DOI
https://doi.org/10.1177/10105395251374756
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00
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article

Association Between Climatic Variables and Dengue Incidence in a Mekong Delta Province

Tinh Huu Ho, Chinh Van Dang, Do Phuc Nhu Nguyen, Toai Nguyen Phuong et al.
Asia Pacific Journal of Public Health
Mosquito-borne diseases and control
article

Association Between Climatic Variables and Dengue Incidence in a Mekong Delta Province

Tinh Huu Ho, Chinh Van Dang, Do Phuc Nhu Nguyen, Toai Nguyen Phuong, Tran Khanh Minh, Nhan Ho The, Binh Dang Thai
article en

Abstract

Dengue is a significant public health concern in tropical countries. This study explored the short-term associations between monthly climatic variables and dengue incidence. Dengue cases and weather parameters from 2001 to 2023 were collected in Can Tho City, a central province of the Mekong Delta, Vietnam. A quasi-Poisson regression with a distributed lag linear model was employed to determine the associations. A total of 32 265 dengue cases were collected. Of these cases, 53.7% were male, and 64.1% were under 15. Each 5% increase in relative humidity was associated with a 19.3% increase in dengue cases. Each 1°C increase in average temperature was associated with a 13.8% increase in dengue cases. Rainfall showed a negative effect, with each 5 mm increase in rainfall decreasing cases by 1.3%. Wind velocity showed no significant impact. The study demonstrated that relative humidity and temperature are key predictors for dengue forecasting and prevention.

Asia Pacific Journal of Public HealthVol. 37(8)
Can Tho University (VN), Centers for Disease Control and Prevention (UG), Health Strategy and Policy Institute (VN)
Openalex Percentile: Top 65%
Mosquito-borne diseases and control
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