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A systematic review of mathematical models of mosquito-borne pathogen transmission: 1970-2010

Journal

JOURNAL OF THE ROYAL SOCIETY INTERFACE
Volume 10, Issue 81, Pages -

Publisher

ROYAL SOC
DOI: 10.1098/rsif.2012.0921

Keywords

infectious disease dynamics; vector-borne disease; epidemiology; dengue; West Nile; filariasis

Funding

  1. Research and Policy for Infectious Disease Dynamics programme of the Science and Technology Directory, Department of Homeland Security
  2. Fogarty International Center, National Institutes of Health (NIH)
  3. US Center for Disease Control and Prevention [5 U01 EH000418]
  4. Japan Society for the Promotion of Science
  5. National Science Foundation [0801544]
  6. Environment Program at the University of Florida
  7. NIH [R01 AI069387-01A1, R01-AI091980, R01-AI069341, R01-GM08322]
  8. Foundation for the NIH through the Grand Challenges in Global Health Initiative of the Bill and Melinda Gates Foundation
  9. Bill and Melinda Gates Foundation [49446, 1032350, OPP52250]
  10. Wellcome Trust [095066]
  11. Wellcome Trust, UK
  12. Innovative Vector Control Consortium
  13. Bloomberg Family Foundation
  14. NIH/NIAID [U19AI089674]
  15. MRC [MR/K00669X/1] Funding Source: UKRI
  16. Medical Research Council [MR/K00669X/1] Funding Source: researchfish

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Mathematical models of mosquito-borne pathogen transmission originated in the early twentieth century to provide insights into how to most effectively combat malaria. The foundations of the Ross-Macdonald theory were established by 1970. Since then, there has been a growing interest in reducing the public health burden of mosquito-borne pathogens and an expanding use of models to guide their control. To assess how theory has changed to confront evolving public health challenges, we compiled a bibliography of 325 publications from 1970 through 2010 that included at least one mathematical model of mosquito-borne pathogen transmission and then used a 79-part questionnaire to classify each of 388 associated models according to its biological assumptions. As a composite measure to interpret the multidimensional results of our survey, we assigned a numerical value to each model that measured its similarity to 15 core assumptions of the Ross-Macdonald model. Although the analysis illustrated a growing acknowledgement of geographical, ecological and epidemiological complexities in modelling transmission, most models during the past 40 years closely resemble the Ross-Macdonald model. Modern theory would benefit from an expansion around the concepts of heterogeneous mosquito biting, poorly mixed mosquito-host encounters, spatial heterogeneity and temporal variation in the transmission process.

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