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
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

110161

Informations 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.

Auteurs

Gonzalo P Suarez (GP)

Department of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, TN 37996, United States. Electronic address: gsuarez1@utk.edu.

Oyita Udiani (O)

Department of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, TN 37996, United States; National Institute for Mathematical and Biological Synthesis (NIMBioS), University of Tennessee, Knoxville, TN 37996, United States.

Brian F Allan (BF)

Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States.

Candice Price (C)

Department of Mathematics, University of San Diego, San Diego, CA 92110, United States.

Sadie J Ryan (SJ)

Department of Geography, University of Florida, Gainesville, FL 32611, United States; Emerging Pathogens Institute, University of Florida, Gainesville, FL 32611, United States; School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa.

Eric Lofgren (E)

Department of Math and Statistics,Washington State University, Pullman, WA, United States; Paul G. Allen School for Global Animal Health, Washington State University, Pullman, WA, United States.

Alin Coman (A)

Department of Psychology, Princeton University, Princeton, NJ 08544, United States.

Chris M Stone (CM)

Illinois Natural History Survey, University of Illinois at Urbana-Champaign, Champaign, IL 61820, United States.

Lazaros K Gallos (LK)

Center for Discrete Mathematics & Theoretical Computer Science (DIMACS), Rutgers University, Piscataway, NJ 08854, United States.

Nina H Fefferman (NH)

Department of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, TN 37996, United States; National Institute for Mathematical and Biological Synthesis (NIMBioS), University of Tennessee, Knoxville, TN 37996, United States; Department of Mathematics, University of Tennessee, Knoxville, TN 37996, United States.

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