Journal
JOURNAL OF BIOLOGICAL DYNAMICS
Volume 9, Issue 1, Pages 52-72Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/17513758.2015.1005698
Keywords
individual-based model; patch; network; chikungunya; mosquito-borne disease; dengue; differential equationsmodel; 92D30; 37C10; 92D40
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Funding
- NIH/NIGMS grant in the Models of Infectious Disease Agent Study (MIDAS) program [U01-GM097661-01]
- NSF MPS Division of Mathematical Sciences NSF/MPS/DMS grant [DMS-1122666]
- NSF SEES Fellow grant [CHE-1314029]
- NIH/NIGMS MIDAS grant [U01-GM097658]
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [U01GM097658, U01GM097661] Funding Source: NIH RePORTER
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Mosquito-borne diseases cause significant public health burden and are widely re-emerging or emerging. Understanding, predicting, and mitigating the spread of mosquito-borne disease in diverse populations and geographies are ongoing modelling challenges. We propose a hybrid network-patch model for the spread of mosquito-borne pathogens that accounts for individual movement through mosquito habitats, extending the capabilities of existing agent-based models (ABMs) to include vector-borne diseases. The ABM are coupled with differential equations representing 'clouds' of mosquitoes in patches accounting for mosquito ecology. We adapted an ABM for humans using this method and investigated the importance of heterogeneity in pathogen spread, motivating the utility of models of individual behaviour. We observed that the final epidemic size is greater in patch models with a high risk patch frequently visited than in a homogeneous model. Our hybrid model quantifies the importance of the heterogeneity in the spread of mosquito-borne pathogens, guiding mitigation strategies.
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