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The potential economic burden of Zika in the continental United States

BACKGROUND: As the Zika virus epidemic continues to spread internationally, countries such as the United States must determine how much to invest in prevention, control, and response. Fundamental to these decisions is quantifying the potential economic burden of Zika under different scenarios. METHO...

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Autores principales: Lee, Bruce Y., Alfaro-Murillo, Jorge A., Parpia, Alyssa S., Asti, Lindsey, Wedlock, Patrick T., Hotez, Peter J., Galvani, Alison P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5407573/
https://www.ncbi.nlm.nih.gov/pubmed/28448488
http://dx.doi.org/10.1371/journal.pntd.0005531
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author Lee, Bruce Y.
Alfaro-Murillo, Jorge A.
Parpia, Alyssa S.
Asti, Lindsey
Wedlock, Patrick T.
Hotez, Peter J.
Galvani, Alison P.
author_facet Lee, Bruce Y.
Alfaro-Murillo, Jorge A.
Parpia, Alyssa S.
Asti, Lindsey
Wedlock, Patrick T.
Hotez, Peter J.
Galvani, Alison P.
author_sort Lee, Bruce Y.
collection PubMed
description BACKGROUND: As the Zika virus epidemic continues to spread internationally, countries such as the United States must determine how much to invest in prevention, control, and response. Fundamental to these decisions is quantifying the potential economic burden of Zika under different scenarios. METHODOLOGY/PRINCIPLE FINDINGS: To inform such decision making, our team developed a computational model to forecast the potential economic burden of Zika across six states in the US (Alabama, Florida, Georgia, Louisiana, Mississippi, and Texas) which are at greatest risk of Zika emergence, under a wide range of attack rates, scenarios and circumstances. In order to accommodate a wide range of possibilities, different scenarios explored the effects of varying the attack rate from 0.01% to 10%. Across the six states, an attack rate of 0.01% is estimated to cost $183.4 million to society ($117.1 million in direct medical costs and $66.3 million in productivity losses), 0.025% would result in $198.6 million ($119.4 million and $79.2 million), 0.10% would result in $274.6 million ($130.8 million and $143.8 million) and 1% would result in $1.2 billion ($268.0 million and $919.2 million). CONCLUSIONS: Our model and study show how direct medical costs, Medicaid costs, productivity losses, and total costs to society may vary with different attack rates across the six states and the circumstances at which they may exceed certain thresholds (e.g., Zika prevention and control funding allocations that are being debated by the US government). A Zika attack rate of 0.3% across the six states at greatest risk of Zika infection, would result in total costs that exceed $0.5 billion, an attack rate of 1% would exceed $1 billion, and an attack rate of 2% would exceed $2 billion.
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spelling pubmed-54075732017-05-14 The potential economic burden of Zika in the continental United States Lee, Bruce Y. Alfaro-Murillo, Jorge A. Parpia, Alyssa S. Asti, Lindsey Wedlock, Patrick T. Hotez, Peter J. Galvani, Alison P. PLoS Negl Trop Dis Research Article BACKGROUND: As the Zika virus epidemic continues to spread internationally, countries such as the United States must determine how much to invest in prevention, control, and response. Fundamental to these decisions is quantifying the potential economic burden of Zika under different scenarios. METHODOLOGY/PRINCIPLE FINDINGS: To inform such decision making, our team developed a computational model to forecast the potential economic burden of Zika across six states in the US (Alabama, Florida, Georgia, Louisiana, Mississippi, and Texas) which are at greatest risk of Zika emergence, under a wide range of attack rates, scenarios and circumstances. In order to accommodate a wide range of possibilities, different scenarios explored the effects of varying the attack rate from 0.01% to 10%. Across the six states, an attack rate of 0.01% is estimated to cost $183.4 million to society ($117.1 million in direct medical costs and $66.3 million in productivity losses), 0.025% would result in $198.6 million ($119.4 million and $79.2 million), 0.10% would result in $274.6 million ($130.8 million and $143.8 million) and 1% would result in $1.2 billion ($268.0 million and $919.2 million). CONCLUSIONS: Our model and study show how direct medical costs, Medicaid costs, productivity losses, and total costs to society may vary with different attack rates across the six states and the circumstances at which they may exceed certain thresholds (e.g., Zika prevention and control funding allocations that are being debated by the US government). A Zika attack rate of 0.3% across the six states at greatest risk of Zika infection, would result in total costs that exceed $0.5 billion, an attack rate of 1% would exceed $1 billion, and an attack rate of 2% would exceed $2 billion. Public Library of Science 2017-04-27 /pmc/articles/PMC5407573/ /pubmed/28448488 http://dx.doi.org/10.1371/journal.pntd.0005531 Text en © 2017 Lee et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Lee, Bruce Y.
Alfaro-Murillo, Jorge A.
Parpia, Alyssa S.
Asti, Lindsey
Wedlock, Patrick T.
Hotez, Peter J.
Galvani, Alison P.
The potential economic burden of Zika in the continental United States
title The potential economic burden of Zika in the continental United States
title_full The potential economic burden of Zika in the continental United States
title_fullStr The potential economic burden of Zika in the continental United States
title_full_unstemmed The potential economic burden of Zika in the continental United States
title_short The potential economic burden of Zika in the continental United States
title_sort potential economic burden of zika in the continental united states
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5407573/
https://www.ncbi.nlm.nih.gov/pubmed/28448488
http://dx.doi.org/10.1371/journal.pntd.0005531
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