• DocumentCode
    715357
  • Title

    A comprehensive model of spread of malaria in humans and mosquitos

  • Author

    Turner, Amy ; Chanok Jung ; Pan Tan ; Gotika, Srinivas ; Mago, Vijay

  • Author_Institution
    Dept. of Comput. Sci., Troy Univ., Troy, AL, USA
  • fYear
    2015
  • fDate
    9-12 April 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Mathematical models have the capability to incorporate statistical data so that infectious diseases can be studied in-depth. In this article, we use mathematical modeling to study malaria through a combination of the Susceptible, Exposed, Infectious and Recovered (SEIR) Model for humans; Susceptible, Exposed and Infectious (SEI) Model for mosquitos; and the Four Stage Life Cycle Model of the mosquito. Due to the fact that malaria is spread to humans through the bite of a female mosquito that has been infected by the plasmodium parasite, the impacts of mosquitos are also studied in this paper using the SEI Model. Finally, the growth of the mosquito population is directly related to the spread of malaria, the Four Stage Life Cycle is incorporated to model the effects of climate change and interspecies competition within the mosquito life cycle stages of Egg, Larvae, and Pupae. The combination of these models are used to show the growth and spread of malaria.
  • Keywords
    diseases; statistical analysis; SEIR model; climate change; comprehensive model; egg; four stage life cycle model; human; infectious diseases; interspecies competition; larvae; malaria spreading; mathematical model; mosquitos; plasmodium parasite; pupae; statistical data; susceptible, exposed, infectious and recovered model; Computational modeling; Diseases; Immune system; Interrupters; Mathematical model; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SoutheastCon 2015
  • Conference_Location
    Fort Lauderdale, FL
  • Type

    conf

  • DOI
    10.1109/SECON.2015.7132968
  • Filename
    7132968