Association Between Climatic Variables and Dengue Incidence in a Mekong Delta Province.
| Title: | Association Between Climatic Variables and Dengue Incidence in a Mekong Delta Province. |
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| Authors: | Huu TH; The Institute of Public Health, Ministry of Health, Ho Chi Minh City, Viet Nam.; The NH; The Institute of Public Health, Ministry of Health, Ho Chi Minh City, Viet Nam.; Thai BD; The Institute of Public Health, Ministry of Health, Ho Chi Minh City, Viet Nam.; Phuong TN; Faculty of Public Health, Can Tho University of Medicine and Pharmacy, Can Tho, Viet Nam.; Phuc Nhu ND; The Institute of Public Health, Ministry of Health, Ho Chi Minh City, Viet Nam.; Minh TH; Centers for Disease Control and Prevention, Can Tho, Viet Nam.; Van CD; The Institute of Public Health, Ministry of Health, Ho Chi Minh City, Viet Nam. |
| Source: | Asia-Pacific journal of public health [Asia Pac J Public Health] 2025 Nov; Vol. 37 (8), pp. 698-704. Date of Electronic Publication: 2025 Sep 21. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: SAGE Publications Country of Publication: China NLM ID: 8708538 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1941-2479 (Electronic) Linking ISSN: 10105395 NLM ISO Abbreviation: Asia Pac J Public Health Subsets: MEDLINE |
| Imprint Name(s): | Publication: Hong Kong : SAGE Publications; Original Publication: [Hong Kong] : Science Press, c1987- |
| MeSH Terms: | Dengue*/epidemiology ; Climate* ; Weather*; Vietnam/epidemiology ; Humans ; Incidence ; Male ; Female ; Humidity ; Adolescent ; Temperature ; Adult ; Rain ; Young Adult ; Child |
| 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. |
| Competing Interests: | Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. |
| Contributed Indexing: | Keywords: climate change; climate variables; dengue fever; environmental factors; tropical diseases |
| Entry Date(s): | Date Created: 20250921 Date Completed: 20251211 Latest Revision: 20251211 |
| Update Code: | 20260130 |
| DOI: | 10.1177/10105395251374756 |
| PMID: | 40975813 |
| Database: | MEDLINE |
Journal Article