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  • Temporal and spatial patterns of diarrhoea in the Mekong Delta area, Vietnam

    Author(s)
    Phung, D
    Huang, C
    Rutherford, S
    Chu, C
    Wang, X
    Nguyen, M
    Nguyen, NH
    Do, CM
    Nguyen, TH
    Griffith University Author(s)
    Chu, Cordia M.
    Rutherford, Shannon
    Phung, Dung T.
    Year published
    2015
    Metadata
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    Abstract
    This study examined the temporal and spatial patterns of diarrhoea in relation to hydro-meteorological factors in the Mekong Delta area in Vietnam. A time-series design was applied to examine the temporal pattern of the climate–diarrhoea relationship using Poisson regression models. Spatial analysis was applied to examine the spatial clusters of diarrhoea using Global Moran's I and local indicators of spatial autocorrelation (LISA). The temporal pattern showed that the highest peak of diarrhoea was from weeks 30–42 corresponding to August–October annually. A 1 cm increase in river water level at a lag of 1 week was associated ...
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    This study examined the temporal and spatial patterns of diarrhoea in relation to hydro-meteorological factors in the Mekong Delta area in Vietnam. A time-series design was applied to examine the temporal pattern of the climate–diarrhoea relationship using Poisson regression models. Spatial analysis was applied to examine the spatial clusters of diarrhoea using Global Moran's I and local indicators of spatial autocorrelation (LISA). The temporal pattern showed that the highest peak of diarrhoea was from weeks 30–42 corresponding to August–October annually. A 1 cm increase in river water level at a lag of 1 week was associated with a small [0·07%, 95% confidence interval (CI) 0·01–0·1] increase in the diarrhoeal rate. A 1 °C increase in temperature at lag of 2 and 4 weeks was associated with a 1·5% (95% CI 0·3−2·7) and 1·1% (95% CI 0·1−2·3) increase in diarrhoeal risk, respectively. Relative humidity and diarrhoeal risk were in nonlinear relationship. The spatial analysis showed significant clustering of diarrhoea, and the LISA map shows three multi-centred diarrhoeal clusters and three single-centred clusters in the research location. The findings suggest that climatic conditions projected to be associated with climate change have important implication for human health impact in the Mekong Delta region.
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    Journal Title
    Epidemiology and Infection
    Volume
    143
    Issue
    16
    DOI
    https://doi.org/10.1017/S0950268815000709
    Subject
    Public Health and Health Services not elsewhere classified
    Public Health and Health Services
    Publication URI
    http://hdl.handle.net/10072/141249
    Collection
    • Journal articles

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