Literature DB >> 32810500

Effects of ambient temperature and precipitation on the risk of dengue fever: A systematic review and updated meta-analysis.

Yanbing Li1, Qiujun Dou1, Yuanan Lu2, Hao Xiang1, Xuejie Yu1, Suyang Liu3.   

Abstract

OBJECTIVES: We systematically reviewed the published studies on the relationship between dengue fever and meteorological factors and applied a meta-analysis to explore the effects of ambient temperature and precipitation on dengue fever.
METHODS: We completed the literature search by the end of September 1st, 2019 using databases including Science Direct, PubMed, Web of Science, and Google Scholar. We extracted relative risks (RRs) in selected studies and converted all effect estimates to the RRs per 1 °C increase in temperature and 10 mm increase in precipitation, and combined all standardized RRs together using random-effect meta-analysis.
RESULTS: Our results show that dengue fever was significantly associated with both temperature and precipitation. Our subgroup analyses suggested that the effect of temperature on dengue fever was most pronounced in high-income subtropical areas. The pooled RR of dengue fever associated with the maximum temperature was much lower than the overall effect.
CONCLUSIONS: Temperature and precipitation are important risk factors for dengue fever. Future studies should focus on factors that can distort the effects of temperature and precipitation.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Dengue fever; Meta-analysis; Precipitation; Rainfall; Temperature

Mesh:

Year:  2020        PMID: 32810500     DOI: 10.1016/j.envres.2020.110043

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  6 in total

1.  Spatiotemporally comparative analysis of three common infectious diseases in China during 2013-2015.

Authors:  Yang Shao; Meifang Li; Jin Luo; Le Yu; Xia Li
Journal:  BMC Infect Dis       Date:  2022-10-18       Impact factor: 3.667

Review 2.  Dengue Early Warning System as Outbreak Prediction Tool: A Systematic Review.

Authors:  Mazni Baharom; Norfazilah Ahmad; Rozita Hod; Mohd Rizal Abdul Manaf
Journal:  Risk Manag Healthc Policy       Date:  2022-05-03

3.  Added-value of mosquito vector breeding sites from street view images in the risk mapping of dengue incidence in Thailand.

Authors:  Myat Su Yin; Dominique J Bicout; Peter Haddawy; Johannes Schöning; Yongjua Laosiritaworn; Patiwat Sa-Angchai
Journal:  PLoS Negl Trop Dis       Date:  2021-03-08

4.  Imported Dengue Case Numbers and Local Climatic Patterns Are Associated with Dengue Virus Transmission in Florida, USA.

Authors:  Caroline Stephenson; Eric Coker; Samantha Wisely; Song Liang; Rhoel R Dinglasan; John A Lednicky
Journal:  Insects       Date:  2022-02-03       Impact factor: 3.139

5.  Prediction of dengue fever outbreaks using climate variability and Markov chain Monte Carlo techniques in a stochastic susceptible-infected-removed model.

Authors:  Tarun Kumar Martheswaran; Hamida Hamdi; Amal Al-Barty; Abeer Abu Zaid; Biswadeep Das
Journal:  Sci Rep       Date:  2022-03-31       Impact factor: 4.379

6.  Geographic Partitioning of Dengue Virus Transmission Risk in Florida.

Authors:  Caroline J Stephenson; Heather Coatsworth; Christy M Waits; Nicole M Nazario-Maldonado; Derrick K Mathias; Rhoel R Dinglasan; John A Lednicky
Journal:  Viruses       Date:  2021-11-05       Impact factor: 5.818

  6 in total

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