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Neglected tropical diseases (NTD), account for a large proportion of the global disease burden, and their control faces several challenges including diminishing human and financial resources for those distressed from such diseases. Visceral leishmaniasis (VL), the second-largest parasitic killer (after

Neglected tropical diseases (NTD), account for a large proportion of the global disease burden, and their control faces several challenges including diminishing human and financial resources for those distressed from such diseases. Visceral leishmaniasis (VL), the second-largest parasitic killer (after malaria) and an NTD affects poor populations and causes considerable cost to the affected individuals. Mathematical models can serve as a critical and cost-effective tool for understanding VL dynamics, however, complex array of socio-economic factors affecting its dynamics need to be identified and appropriately incorporated within a dynamical modeling framework. This study reviews literature on vector-borne diseases and collects challenges and successes related to the modeling of transmission dynamics of VL. Possible ways of creating a comprehensive mathematical model is also discussed.

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    Title
    • Challenges in Modeling Complexity of Neglected Tropical Diseases: A Review of Dynamics of Visceral Leishmaniasis in Resource Limited Settings
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    Date Created
    2017-09-18
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.1186/s12982-017-0065-3
    • Identifier Type
      International standard serial number
      Identifier Value
      1742-7622
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    • The electronic version of this article is the complete one and can be found online at: https://ete-online.biomedcentral.com/articles/10.1186/s12982-017-0065-3

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    This is a suggested citation. Consult the appropriate style guide for specific citation guidelines.

    Debroy, S., Prosper, O., Mishoe, A., & Mubayi, A. (2017). Challenges in modeling complexity of neglected tropical diseases: a review of dynamics of visceral leishmaniasis in resource limited settings. Emerging Themes in Epidemiology, 14(1). doi:10.1186/s12982-017-0065-3

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