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Detecting Local Zika Virus Transmission in the Continental United States: A Comparison of Surveillance Strategies
INTRODUCTION: The 2015-2017 Zika virus (ZIKV) epidemic in the Americas has driven efforts to strengthen surveillance systems and to develop interventions, testing, and travel recommendations. In the continental U.S. and Hawaii, where limited transmission has been observed, detecting local transmissi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6012008/ https://www.ncbi.nlm.nih.gov/pubmed/29985488 http://dx.doi.org/10.1371/currents.outbreaks.cd76717676629d47704170ecbdb5f820 |
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author | Russell, Steven Ryff, Kyle Gould, Carolyn Martin, Stacey Johansson, Michael |
author_facet | Russell, Steven Ryff, Kyle Gould, Carolyn Martin, Stacey Johansson, Michael |
author_sort | Russell, Steven |
collection | PubMed |
description | INTRODUCTION: The 2015-2017 Zika virus (ZIKV) epidemic in the Americas has driven efforts to strengthen surveillance systems and to develop interventions, testing, and travel recommendations. In the continental U.S. and Hawaii, where limited transmission has been observed, detecting local transmission is a key public health objective. We assessed the effectiveness of three general surveillance strategies for this situation: testing all pregnant women twice during pregnancy, testing blood donations, and testing symptomatic people who seek medical care in an emergency department (ED). METHODS: We developed a simulation model for each surveillance strategy and simulated different transmission scenarios with varying population sizes and infection rates. We then calculated the probability of detecting transmission, the number of tests needed, and the number of false positive test results. RESULTS: The probability of detecting ZIKV transmission was highest for testing ED patients with Zika symptoms, followed by pregnant women and blood donors, in that order. The magnitude of the difference in probability of detection between strategies depended on the incidence of infection. Testing ED patients required fewer tests and resulted in fewer false positives than surveillance among pregnant women. The optimal strategy identified was to test ED patients with at least two Zika virus disease symptoms. This case definition resulted in a high probability of detection with relatively few tests and false positives. DISCUSSION: In the continental U.S. and Hawaii, where local ZIKV transmission is rare, optimizing the probability of detecting infections while minimizing resource usage is particularly important. Local surveillance strategies will be influenced by existing public health system infrastructure, but should also consider the effectiveness of different approaches. This analysis demonstrated differences across strategies and indicated that testing symptomatic ED patients is generally a more efficient strategy for detecting transmission than routine testing of pregnant women or blood donors. |
format | Online Article Text |
id | pubmed-6012008 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-60120082018-07-05 Detecting Local Zika Virus Transmission in the Continental United States: A Comparison of Surveillance Strategies Russell, Steven Ryff, Kyle Gould, Carolyn Martin, Stacey Johansson, Michael PLoS Curr Research Article INTRODUCTION: The 2015-2017 Zika virus (ZIKV) epidemic in the Americas has driven efforts to strengthen surveillance systems and to develop interventions, testing, and travel recommendations. In the continental U.S. and Hawaii, where limited transmission has been observed, detecting local transmission is a key public health objective. We assessed the effectiveness of three general surveillance strategies for this situation: testing all pregnant women twice during pregnancy, testing blood donations, and testing symptomatic people who seek medical care in an emergency department (ED). METHODS: We developed a simulation model for each surveillance strategy and simulated different transmission scenarios with varying population sizes and infection rates. We then calculated the probability of detecting transmission, the number of tests needed, and the number of false positive test results. RESULTS: The probability of detecting ZIKV transmission was highest for testing ED patients with Zika symptoms, followed by pregnant women and blood donors, in that order. The magnitude of the difference in probability of detection between strategies depended on the incidence of infection. Testing ED patients required fewer tests and resulted in fewer false positives than surveillance among pregnant women. The optimal strategy identified was to test ED patients with at least two Zika virus disease symptoms. This case definition resulted in a high probability of detection with relatively few tests and false positives. DISCUSSION: In the continental U.S. and Hawaii, where local ZIKV transmission is rare, optimizing the probability of detecting infections while minimizing resource usage is particularly important. Local surveillance strategies will be influenced by existing public health system infrastructure, but should also consider the effectiveness of different approaches. This analysis demonstrated differences across strategies and indicated that testing symptomatic ED patients is generally a more efficient strategy for detecting transmission than routine testing of pregnant women or blood donors. Public Library of Science 2017-11-22 /pmc/articles/PMC6012008/ /pubmed/29985488 http://dx.doi.org/10.1371/currents.outbreaks.cd76717676629d47704170ecbdb5f820 Text en © 2017 Russell, Ryff, Gould, Martin, Johansson, 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 Russell, Steven Ryff, Kyle Gould, Carolyn Martin, Stacey Johansson, Michael Detecting Local Zika Virus Transmission in the Continental United States: A Comparison of Surveillance Strategies |
title | Detecting Local Zika Virus Transmission in the Continental United
States: A Comparison of Surveillance Strategies |
title_full | Detecting Local Zika Virus Transmission in the Continental United
States: A Comparison of Surveillance Strategies |
title_fullStr | Detecting Local Zika Virus Transmission in the Continental United
States: A Comparison of Surveillance Strategies |
title_full_unstemmed | Detecting Local Zika Virus Transmission in the Continental United
States: A Comparison of Surveillance Strategies |
title_short | Detecting Local Zika Virus Transmission in the Continental United
States: A Comparison of Surveillance Strategies |
title_sort | detecting local zika virus transmission in the continental united
states: a comparison of surveillance strategies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6012008/ https://www.ncbi.nlm.nih.gov/pubmed/29985488 http://dx.doi.org/10.1371/currents.outbreaks.cd76717676629d47704170ecbdb5f820 |
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