Cargando…
Comprehensive Profiling of Zika Virus Risk with Natural and Artificial Mitigating Strategies, United States
Zika virus is transitioning to become a long-term public health challenge, and countries should remain informed of the risk for emergence. We developed a stochastic epidemiologic model to profile risk for Zika virus emergence, including trimester-specific fetal risk across time, in all 3,208 countie...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7101119/ https://www.ncbi.nlm.nih.gov/pubmed/32043959 http://dx.doi.org/10.3201/eid2604.181739 |
_version_ | 1783511555639345152 |
---|---|
author | Mina, Michael J. Guterman, L. Beryl Allen, Kristen E. Omer, Saad B. |
author_facet | Mina, Michael J. Guterman, L. Beryl Allen, Kristen E. Omer, Saad B. |
author_sort | Mina, Michael J. |
collection | PubMed |
description | Zika virus is transitioning to become a long-term public health challenge, and countries should remain informed of the risk for emergence. We developed a stochastic epidemiologic model to profile risk for Zika virus emergence, including trimester-specific fetal risk across time, in all 3,208 counties in the United States, including Puerto Rico. Validation against known transmission in North America demonstrated accuracy to predict epidemic dynamics and absolute case counts across scales (R(2) = 0.98). We found that, although sporadic single transmission events could occur in most US counties, outbreaks will likely be restricted to the Gulf Coast region and to late spring through autumn. Seasonal fluctuations in birth rates will confer natural population-level protection against early-trimester infections. Overall, outbreak control will be more effective and efficient than prevention, and vaccination will be most effective at >70% coverage. Our county-level risk profiles should serve as a critical resource for resource allocation. |
format | Online Article Text |
id | pubmed-7101119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-71011192020-04-03 Comprehensive Profiling of Zika Virus Risk with Natural and Artificial Mitigating Strategies, United States Mina, Michael J. Guterman, L. Beryl Allen, Kristen E. Omer, Saad B. Emerg Infect Dis Research Zika virus is transitioning to become a long-term public health challenge, and countries should remain informed of the risk for emergence. We developed a stochastic epidemiologic model to profile risk for Zika virus emergence, including trimester-specific fetal risk across time, in all 3,208 counties in the United States, including Puerto Rico. Validation against known transmission in North America demonstrated accuracy to predict epidemic dynamics and absolute case counts across scales (R(2) = 0.98). We found that, although sporadic single transmission events could occur in most US counties, outbreaks will likely be restricted to the Gulf Coast region and to late spring through autumn. Seasonal fluctuations in birth rates will confer natural population-level protection against early-trimester infections. Overall, outbreak control will be more effective and efficient than prevention, and vaccination will be most effective at >70% coverage. Our county-level risk profiles should serve as a critical resource for resource allocation. Centers for Disease Control and Prevention 2020-04 /pmc/articles/PMC7101119/ /pubmed/32043959 http://dx.doi.org/10.3201/eid2604.181739 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Mina, Michael J. Guterman, L. Beryl Allen, Kristen E. Omer, Saad B. Comprehensive Profiling of Zika Virus Risk with Natural and Artificial Mitigating Strategies, United States |
title | Comprehensive Profiling of Zika Virus Risk with Natural and Artificial Mitigating Strategies, United States |
title_full | Comprehensive Profiling of Zika Virus Risk with Natural and Artificial Mitigating Strategies, United States |
title_fullStr | Comprehensive Profiling of Zika Virus Risk with Natural and Artificial Mitigating Strategies, United States |
title_full_unstemmed | Comprehensive Profiling of Zika Virus Risk with Natural and Artificial Mitigating Strategies, United States |
title_short | Comprehensive Profiling of Zika Virus Risk with Natural and Artificial Mitigating Strategies, United States |
title_sort | comprehensive profiling of zika virus risk with natural and artificial mitigating strategies, united states |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7101119/ https://www.ncbi.nlm.nih.gov/pubmed/32043959 http://dx.doi.org/10.3201/eid2604.181739 |
work_keys_str_mv | AT minamichaelj comprehensiveprofilingofzikavirusriskwithnaturalandartificialmitigatingstrategiesunitedstates AT gutermanlberyl comprehensiveprofilingofzikavirusriskwithnaturalandartificialmitigatingstrategiesunitedstates AT allenkristene comprehensiveprofilingofzikavirusriskwithnaturalandartificialmitigatingstrategiesunitedstates AT omersaadb comprehensiveprofilingofzikavirusriskwithnaturalandartificialmitigatingstrategiesunitedstates |