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How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy
With the development of social media, the information about vector-borne disease incidence over broad spatial scales can cause demand for local vector control before local risk exists. Anticipatory intervention may still benefit local disease control efforts; however, infection risks are not the onl...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270472/ https://www.ncbi.nlm.nih.gov/pubmed/34181645 http://dx.doi.org/10.1371/journal.pcbi.1008762 |
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author | Jiao, Jing Suarez, Gonzalo P. Fefferman, Nina H. |
author_facet | Jiao, Jing Suarez, Gonzalo P. Fefferman, Nina H. |
author_sort | Jiao, Jing |
collection | PubMed |
description | With the development of social media, the information about vector-borne disease incidence over broad spatial scales can cause demand for local vector control before local risk exists. Anticipatory intervention may still benefit local disease control efforts; however, infection risks are not the only focal concerns governing public demand for vector control. Concern for environmental contamination from pesticides and economic limitations on the frequency and magnitude of control measures also play key roles. Further, public concern may be focused more on ecological factors (i.e., controlling mosquito populations) or on epidemiological factors (i.e., controlling infection-carrying mosquitoes), which may lead to very different control outcomes. Here we introduced a generic Ross-MacDonald model, incorporating these factors under three spatial scales of disease information: local, regional, and global. We tailored and parameterized the model for Zika virus transmitted by Aedes aegypti mosquito. We found that sensitive reactivity caused by larger-scale incidence information could decrease average human infections per patch breeding capacity, however, the associated increase in total control effort plays a larger role, which leads to an overall decrease in control efficacy. The shift of focal concerns from epidemiological to ecological risk could relax the negative effect of the sensitive reactivity on control efficacy when mosquito breeding capacity populations are expected to be large. This work demonstrates that, depending on expected total mosquito breeding capacity population size, and weights of different focal concerns, large-scale disease information can reduce disease infections without lowering control efficacy. Our findings provide guidance for vector-control strategies by considering public reaction through social media. |
format | Online Article Text |
id | pubmed-8270472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-82704722021-07-21 How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy Jiao, Jing Suarez, Gonzalo P. Fefferman, Nina H. PLoS Comput Biol Research Article With the development of social media, the information about vector-borne disease incidence over broad spatial scales can cause demand for local vector control before local risk exists. Anticipatory intervention may still benefit local disease control efforts; however, infection risks are not the only focal concerns governing public demand for vector control. Concern for environmental contamination from pesticides and economic limitations on the frequency and magnitude of control measures also play key roles. Further, public concern may be focused more on ecological factors (i.e., controlling mosquito populations) or on epidemiological factors (i.e., controlling infection-carrying mosquitoes), which may lead to very different control outcomes. Here we introduced a generic Ross-MacDonald model, incorporating these factors under three spatial scales of disease information: local, regional, and global. We tailored and parameterized the model for Zika virus transmitted by Aedes aegypti mosquito. We found that sensitive reactivity caused by larger-scale incidence information could decrease average human infections per patch breeding capacity, however, the associated increase in total control effort plays a larger role, which leads to an overall decrease in control efficacy. The shift of focal concerns from epidemiological to ecological risk could relax the negative effect of the sensitive reactivity on control efficacy when mosquito breeding capacity populations are expected to be large. This work demonstrates that, depending on expected total mosquito breeding capacity population size, and weights of different focal concerns, large-scale disease information can reduce disease infections without lowering control efficacy. Our findings provide guidance for vector-control strategies by considering public reaction through social media. Public Library of Science 2021-06-28 /pmc/articles/PMC8270472/ /pubmed/34181645 http://dx.doi.org/10.1371/journal.pcbi.1008762 Text en © 2021 Jiao et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Jiao, Jing Suarez, Gonzalo P. Fefferman, Nina H. How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy |
title | How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy |
title_full | How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy |
title_fullStr | How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy |
title_full_unstemmed | How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy |
title_short | How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy |
title_sort | how public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270472/ https://www.ncbi.nlm.nih.gov/pubmed/34181645 http://dx.doi.org/10.1371/journal.pcbi.1008762 |
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