Literature DB >> 27485898

Diarrheal Diseases and Climate Change in Cambodia.

Lachlan J McIver1, Chisato Imai2,3, Petra G Buettner4,5, Paul Gager6, Vibol S Chan7, Masahiro Hashizume3, Steven N Iddings7, Hero Kol8, Piseth P Raingsey8, K Lyne1.   

Abstract

The DRIP-SWICCH (Developing Research and Innovative Policies Specific to the Water-related Impacts of Climate Change on Health) project aimed to increase the resilience of Cambodian communities to the health risks posed by climate change-related impacts on water. This article follows a review of climate change and water-related diseases in Cambodia and presents the results of a time series analysis of monthly weather and diarrheal disease data for 11 provinces. In addition, correlations of diarrheal disease incidence with selected demographic, socioeconomic, and water and sanitation indicators are described, with results suggesting education and literacy may be most protective against disease. The potential impact of climate change on the burden of diarrheal disease in Cambodia is considered, along with the implications of these findings for health systems adaptation.

Entities:  

Keywords:  Cambodia; climate change; diarrheal disease; early warning systems; time series; water-related diseases

Mesh:

Year:  2016        PMID: 27485898     DOI: 10.1177/1010539516660190

Source DB:  PubMed          Journal:  Asia Pac J Public Health        ISSN: 1010-5395            Impact factor:   1.399


  3 in total

1.  Understanding the Impact of Rainfall on Diarrhea: Testing the Concentration-Dilution Hypothesis Using a Systematic Review and Meta-Analysis.

Authors:  Alicia N M Kraay; Olivia Man; Morgan C Levy; Karen Levy; Edward Ionides; Joseph N S Eisenberg
Journal:  Environ Health Perspect       Date:  2020-12-07       Impact factor: 9.031

2.  The analysis of GM (1, 1) grey model to predict the incidence trend of typhoid and paratyphoid fevers in Wuhan City, China.

Authors:  Xiaobing Yang; Jiaojiao Zou; Deguang Kong; Gaofeng Jiang
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

3.  Time series analysis of cumulative incidences of typhoid and paratyphoid fevers in China using both Grey and SARIMA models.

Authors:  Jiaqi Gao; Jiayuan Li; Mengqiao Wang
Journal:  PLoS One       Date:  2020-10-28       Impact factor: 3.240

  3 in total

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