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ABSTRACT: Background
To describe spatiotemporal patterns of diarrhoea in Bhutan, and quantify the association between climatic factors and the distribution and dynamics of the disease.Methods
Nationwide data on diarrhoea were obtained for 2003 to 2013 from the Health Information and Management System (HIMS), Ministry of Health, Bhutan. Climatic variables were obtained from the Department of Hydro Met Services, Ministry of Economic Affairs, Bhutan. Seasonal trend decomposition was used to examine secular trends and seasonal patterns of diarrhoea. A Bayesian conditional autoregressive (CAR) model was used to quantify the relationship between monthly diarrhoea, maximum temperature, rainfall, age and gender.Results
The monthly average diarrhoea incidence was highly seasonal. Diar
SUBMITTER: Wangdi K
PROVIDER: S-EPMC5521140 | biostudies-literature | 2017 Jul
REPOSITORIES: biostudies-literature