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    The spatial and temporal patterns of falciparum and vivax malaria in Per: 19942006

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    Genre
    Journal Article
    Date
    2009-08-14
    Author
    Chowell, G
    Munayco, CV
    Escalante, AA
    McKenzie, FE
    Subject
    Animals
    Environment
    Geography
    Humans
    Incidence
    Malaria, Falciparum
    Malaria, Vivax
    Peru
    Plasmodium falciparum
    Plasmodium vivax
    Seasons
    Tropical Climate
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    Permanent link to this record
    http://hdl.handle.net/20.500.12613/5576
    
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    DOI
    10.1186/1475-2875-8-142
    Abstract
    Background. Malaria is the direct cause of approximately one million deaths worldwide each year, though it is both preventable and curable. Increasing the understanding of the transmission dynamics of falciparum and vivax malaria and their relationship could suggest improvements for malaria control efforts. Here the weekly number of malaria cases due to Plasmodium falciparum (19942006) and Plasmodium vivax (19992006) in Per at different spatial scales in conjunction with associated demographic, geographic and climatological data are analysed. Methods. Malaria periodicity patterns were analysed through wavelet spectral analysis, studied patterns of persistence as a function of community size and assessed spatial heterogeneity via the Lorenz curve and the summary Gini index. Results. Wavelet time series analyses identified annual cycles in the incidence of both malaria species as the dominant pattern. However, significant spatial heterogeneity was observed across jungle, mountain and coastal regions with slightly higher levels of spatial heterogeneity for P. vivax than P. falciparum. While the incidence of P. falciparum has been declining in recent years across geographic regions, P. vivax incidence has remained relatively steady in jungle and mountain regions with a slight decline in coastal regions. Factors that may be contributing to this decline are discussed. The time series of both malaria species were significantly synchronized in coastal ( = 0.9, P < 0.0001) and jungle regions ( = 0.76, P < 0.0001) but not in mountain regions. Community size was significantly associated with malaria persistence due to both species in jungle regions, but not in coastal and mountain regions. Conclusion. Overall, findings highlight the importance of highly refined spatial and temporal data on malaria incidence together with demographic and geographic information in improving the understanding of malaria persistence patterns associated with multiple malaria species in human populations, impact of interventions, detection of heterogeneity and generation of hypotheses. © 2009 Chowell et al.
    Citation to related work
    Springer Science and Business Media LLC
    Has part
    Malaria Journal
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    ae974a485f413a2113503eed53cd6c53
    http://dx.doi.org/10.34944/dspace/5558
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