Publication

Recasting the theory of mosquito-borne pathogen transmission dynamics and control

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  • 03/05/2025
Type of Material
Authors
    David L. Smith, Johns Hopkins UniversityT. Alex Perkins, National Institutes of HealthRC Reiner, National Institutes of HealthCM Barker, National Institutes of HealthT Niu, National Institutes of HealthLF Chaves, Nagasaki UniversityAM Ellis, National Institutes of HealthDB George, National Institutes of HealthA Le Menach, Center for Disease Dynamics, Economics & PolicyJRC Pulliam, National Institutes of HealthD Bisanzio, Emory UniversityC Buckee, Harvard UniversityC Chiyaka, University of FloridaDAT Cummings, Johns Hopkins UniversityAJ Garcia, University of FloridaML Gatton, Queensland University of TechnologyPW Gething, University of OxfordDM Hartley, National Institutes of HealthG Johnston, Columbia UniversityEY Klein, Center for Disease Dynamics, Economics & PolicyE Michael, University of Notre DameAL Lloyd, National Institutes of HealthDM Pigott, University of OxfordWK Reisen, National Institutes of HealthN Ruktanonchai, University of FloridaBK Singh, University of Notre DameJ Stoller, Stoller Design AssociatesAJ Tatem, National Institutes of HealthUriel Kitron, Emory UniversityHCJ Godfray, University of OxfordJM Cohen, Clinton Health Access InitiativeSI Hay, National Institutes of HealthTW Scott, National Institutes of Health
Language
  • English
Date
  • 2014-04-01
Publisher
  • Oxford University Press (OUP): Policy B - Oxford Open Option B
Publication Version
Copyright Statement
  • © The Author 2014. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 0035-9203
Volume
  • 108
Issue
  • 4
Start Page
  • 185
End Page
  • 197
Grant/Funding Information
  • EM and BKS acknowledge funding from the NIH [R01 AI069387-01A1].
  • AJG is partially supported by the National Science Foundation under Grant No. 0801544 in the Quantitative Spatial Ecology, Evolution and Environment Program at the University of Florida. HCJG is supported by the Foundation for the National Institutes of Health through the Vector-Based Control of Transmission: Discovery Research program of the Grand Challenges in Global Health Initiative.
  • TWS acknowledges funding from the Bill & Melinda Gates Foundation [OPP52250], the Innovative Vector Control Consortium, and the NIH [R01-AI069341, R01-AI091980, and R01-GM08322].
  • ALL acknowledges funding from the NIH [R01-AI091980] and NSF [RTG/DMS -1246991].
  • CMB acknowledges additional funding from the US Centers for Disease Control and Prevention [5 U01 EH000418].
  • SIH is also funded by a Senior Research Fellowship from the Wellcome Trust [095066].
  • This work was primarily supported by the Research and Policy for Infectious Disease Dynamics (RAPIDD) program of the Science and Technology Directory, Department of Homeland Security, and Fogarty International Center, National Institutes of Health.
  • DLS acknowledges funding from the Bloomberg Family Foundation.
  • PWG is a Medical Research Council Career Development Fellow [K00669X] and receives support from the Bill and Melinda Gates Foundation [OPP1068048].
  • EYK acknowledges funding from MIDAS [U01GM070708] and NIH [DP1OD003874].
  • LFC is funded by the Leading Program in Tropical and Emerging Communicable Diseases of Nagasaki University.
  • AJT is also supported by a grant from the Bill and Melinda Gates Foundation [1032350].
  • DLS and AJT acknowledge funding from NIH/NIAID [U19AI089674] and the Bill and Melinda Gates Foundation [49446].
Abstract
  • Mosquito-borne diseases pose some of the greatest challenges in public health, especially in tropical and sub-tropical regions of theworld. Efforts to control these diseases have been underpinned by a theoretical framework developed for malaria by Ross and Macdonald, including models, metrics for measuring transmission, and theory of control that identifies key vulnerabilities in the transmission cycle. That framework, especially Macdonald's formula for R 0 and its entomological derivative, vectorial capacity, are nowused to study dynamics and design interventions for many mosquito-borne diseases. A systematic review of 388 models published between 1970 and 2010 found that the vast majority adopted the Ross-Macdonald assumption of homogeneous transmission in a well-mixed population. Studies comparing models and data question these assumptions and point to the capacity to model heterogeneous, focal transmission as the most important but relatively unexplored component in current theory. Fine-scale heterogeneity causes transmission dynamics to be nonlinear, and poses problems for modeling, epidemiology and measurement. Novel mathematical approaches show how heterogeneity arises from the biology and the landscape on which the processes of mosquito biting and pathogen transmission unfold. Emerging theory focuses attention on the ecological and social context formosquito blood feeding, themovement of both hosts and mosquitoes, and the relevant spatial scales for measuring transmission and for modeling dynamics and control. © The Author 2014. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.
Author Notes
Keywords
Research Categories
  • Health Sciences, Pathology
  • Environmental Sciences

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