Disease-driven reduction in human mobility influences human-mosquito contacts and dengue transmission dynamics.

Heterogeneous exposure to mosquitoes determines an individual's contribution to vector-borne pathogen transmission. Particularly for dengue virus (DENV), there is a major difficulty in quantifying human-vector contacts due to the unknown coupled effect of key heterogeneities. To test the hypoth...

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Main Authors: Kathryn L Schaber, T Alex Perkins, Alun L Lloyd, Lance A Waller, Uriel Kitron, Valerie A Paz-Soldan, John P Elder, Alan L Rothman, David J Civitello, William H Elson, Amy C Morrison, Thomas W Scott, Gonzalo M Vazquez-Prokopec
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1008627
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spelling doaj-056595dc5b5a4b53b3fa13b53c79d5202021-05-19T04:31:45ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582021-01-01171e100862710.1371/journal.pcbi.1008627Disease-driven reduction in human mobility influences human-mosquito contacts and dengue transmission dynamics.Kathryn L SchaberT Alex PerkinsAlun L LloydLance A WallerUriel KitronValerie A Paz-SoldanJohn P ElderAlan L RothmanDavid J CivitelloWilliam H ElsonAmy C MorrisonThomas W ScottGonzalo M Vazquez-ProkopecHeterogeneous exposure to mosquitoes determines an individual's contribution to vector-borne pathogen transmission. Particularly for dengue virus (DENV), there is a major difficulty in quantifying human-vector contacts due to the unknown coupled effect of key heterogeneities. To test the hypothesis that the reduction of human out-of-home mobility due to dengue illness will significantly influence population-level dynamics and the structure of DENV transmission chains, we extended an existing modeling framework to include social structure, disease-driven mobility reductions, and heterogeneous transmissibility from different infectious groups. Compared to a baseline model, naïve to human pre-symptomatic infectiousness and disease-driven mobility changes, a model including both parameters predicted an increase of 37% in the probability of a DENV outbreak occurring; a model including mobility change alone predicted a 15.5% increase compared to the baseline model. At the individual level, models including mobility change led to a reduction of the importance of out-of-home onward transmission (R, the fraction of secondary cases predicted to be generated by an individual) by symptomatic individuals (up to -62%) at the expense of an increase in the relevance of their home (up to +40%). An individual's positive contribution to R could be predicted by a GAM including a non-linear interaction between an individual's biting suitability and the number of mosquitoes in their home (>10 mosquitoes and 0.6 individual attractiveness significantly increased R). We conclude that the complex fabric of social relationships and differential behavioral response to dengue illness cause the fraction of symptomatic DENV infections to concentrate transmission in specific locations, whereas asymptomatic carriers (including individuals in their pre-symptomatic period) move the virus throughout the landscape. Our findings point to the difficulty of focusing vector control interventions reactively on the home of symptomatic individuals, as this approach will fail to contain virus propagation by visitors to their house and asymptomatic carriers.https://doi.org/10.1371/journal.pcbi.1008627
collection DOAJ
language English
format Article
sources DOAJ
author Kathryn L Schaber
T Alex Perkins
Alun L Lloyd
Lance A Waller
Uriel Kitron
Valerie A Paz-Soldan
John P Elder
Alan L Rothman
David J Civitello
William H Elson
Amy C Morrison
Thomas W Scott
Gonzalo M Vazquez-Prokopec
spellingShingle Kathryn L Schaber
T Alex Perkins
Alun L Lloyd
Lance A Waller
Uriel Kitron
Valerie A Paz-Soldan
John P Elder
Alan L Rothman
David J Civitello
William H Elson
Amy C Morrison
Thomas W Scott
Gonzalo M Vazquez-Prokopec
Disease-driven reduction in human mobility influences human-mosquito contacts and dengue transmission dynamics.
PLoS Computational Biology
author_facet Kathryn L Schaber
T Alex Perkins
Alun L Lloyd
Lance A Waller
Uriel Kitron
Valerie A Paz-Soldan
John P Elder
Alan L Rothman
David J Civitello
William H Elson
Amy C Morrison
Thomas W Scott
Gonzalo M Vazquez-Prokopec
author_sort Kathryn L Schaber
title Disease-driven reduction in human mobility influences human-mosquito contacts and dengue transmission dynamics.
title_short Disease-driven reduction in human mobility influences human-mosquito contacts and dengue transmission dynamics.
title_full Disease-driven reduction in human mobility influences human-mosquito contacts and dengue transmission dynamics.
title_fullStr Disease-driven reduction in human mobility influences human-mosquito contacts and dengue transmission dynamics.
title_full_unstemmed Disease-driven reduction in human mobility influences human-mosquito contacts and dengue transmission dynamics.
title_sort disease-driven reduction in human mobility influences human-mosquito contacts and dengue transmission dynamics.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2021-01-01
description Heterogeneous exposure to mosquitoes determines an individual's contribution to vector-borne pathogen transmission. Particularly for dengue virus (DENV), there is a major difficulty in quantifying human-vector contacts due to the unknown coupled effect of key heterogeneities. To test the hypothesis that the reduction of human out-of-home mobility due to dengue illness will significantly influence population-level dynamics and the structure of DENV transmission chains, we extended an existing modeling framework to include social structure, disease-driven mobility reductions, and heterogeneous transmissibility from different infectious groups. Compared to a baseline model, naïve to human pre-symptomatic infectiousness and disease-driven mobility changes, a model including both parameters predicted an increase of 37% in the probability of a DENV outbreak occurring; a model including mobility change alone predicted a 15.5% increase compared to the baseline model. At the individual level, models including mobility change led to a reduction of the importance of out-of-home onward transmission (R, the fraction of secondary cases predicted to be generated by an individual) by symptomatic individuals (up to -62%) at the expense of an increase in the relevance of their home (up to +40%). An individual's positive contribution to R could be predicted by a GAM including a non-linear interaction between an individual's biting suitability and the number of mosquitoes in their home (>10 mosquitoes and 0.6 individual attractiveness significantly increased R). We conclude that the complex fabric of social relationships and differential behavioral response to dengue illness cause the fraction of symptomatic DENV infections to concentrate transmission in specific locations, whereas asymptomatic carriers (including individuals in their pre-symptomatic period) move the virus throughout the landscape. Our findings point to the difficulty of focusing vector control interventions reactively on the home of symptomatic individuals, as this approach will fail to contain virus propagation by visitors to their house and asymptomatic carriers.
url https://doi.org/10.1371/journal.pcbi.1008627
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