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    Hydroclimatological variability and dengue transmission in Dhaka, Bangladesh: a time-series study

    189008_71086_Hydroclimatological_variability_and_dengue_transmission.pdf (833.0Kb)
    Access Status
    Open access
    Authors
    Hashizume, M.
    Dewan, Ashraf
    Sunahara, T.
    Rahman, M.
    Yamamoto, T.
    Date
    2012
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Hashizume, Masahiro and Dewan, Ashraf M. and Sunahara, Toshihiko and Rahman, M. Ziaur and Yamamoto, Taro. 2012. Hydroclimatological variability and dengue transmission in Dhaka, Bangladesh: a time-series study. BMC Infectious Diseases. 12 (98).
    Source Title
    BMC Infectious Diseases
    DOI
    10.1186/1471-2334-12-98
    ISSN
    1471-2334
    Remarks

    This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

    URI
    http://hdl.handle.net/20.500.11937/19619
    Collection
    • Curtin Research Publications
    Abstract

    Background: While floods can potentially increase the transmission of dengue, only few studies have reported the association of dengue epidemics with flooding. We estimated the effects of river levels and rainfall on the hospital admissions for dengue fever at 11 major hospitals in Dhaka, Bangladesh. Methods: We examined time-series of the number of hospital admissions of dengue fever in relation to river levels from 2005 to 2009 using generalized linear Poisson regression models adjusting for seasonal, between-year variation, public holidays and temperature. Results: There was strong evidence for an increase in dengue fever at high river levels. Hospitalisations increased by 6.9% (95% CI: 3.2, 10.7) for each 0.1 metre increase above a threshold (3.9 metres) for the average river level over lags of 0–5 weeks. Conversely, the number of hospitalisations increased by 29.6% (95% CI: 19.8, 40.2) for a 0.1 metre decrease below the same threshold of the average river level over lags of 0–19 weeks. Conclusions: Our findings provide evidence that factors associated with both high and low river levels increase the hospitalisations of dengue fever cases in Dhaka.

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