A generic arboviral model framework for exploring trade-offs between vector control and environmental concerns.
Environmental protection
Epidemiology
Mathematical model
Mosquito-borne
Risk perception
Journal
Journal of theoretical biology
ISSN: 1095-8541
Titre abrégé: J Theor Biol
Pays: England
ID NLM: 0376342
Informations de publication
Date de publication:
07 04 2020
07 04 2020
Historique:
received:
06
08
2019
revised:
16
12
2019
accepted:
13
01
2020
pubmed:
19
1
2020
medline:
22
6
2021
entrez:
19
1
2020
Statut:
ppublish
Résumé
Effective public health measures must balance potentially conflicting demands from populations they serve. In the case of infectious disease risks from mosquito-borne infections, such as Zika virus, public concern about the pathogen may be counterbalanced by public concern about environmental contamination from chemical agents used for vector control. Here we introduce a generic framework for modeling how the spread of an infectious pathogen might lead to varying public perceptions, and therefore tolerance, of both disease risk and pesticide use. We consider how these dynamics might impact the spread of a vector-borne disease. We tailor and parameterize our model for direct application to Zika virus as spread by Aedes aegypti mosquitoes, though the framework itself has broad applicability to any arboviral infection. We demonstrate how public risk perception of both disease and pesticides may drastically impact the spread of a mosquito-borne disease in a susceptible population. We conclude that models hoping to inform public health decision making about how best to mitigate arboviral disease risks should explicitly consider the potential public demand for, or rejection of, chemical control of mosquito populations.
Identifiants
pubmed: 31953137
pii: S0022-5193(20)30017-5
doi: 10.1016/j.jtbi.2020.110161
pii:
doi:
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
110161Informations de copyright
Copyright © 2020. Published by Elsevier Ltd.
Déclaration de conflit d'intérêts
Declaration of Competing Interest All authors contributed equally to the design of the study, interpretation of the results, and preparation of the manuscript. GPS was responsible for model implementation and analysis. NF proposed, and secured funding for, the research. All authors have approved the final version of the manuscript.