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Quantifying the Risk and Cost of Active Monitoring for Infectious Diseases
During outbreaks of deadly emerging pathogens (e.g., Ebola, MERS-CoV) and bioterror threats (e.g., smallpox), actively monitoring potentially infected individuals aims to limit disease transmission and morbidity. Guidance issued by CDC on active monitoring was a cornerstone of its response to the We...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773605/ https://www.ncbi.nlm.nih.gov/pubmed/29348656 http://dx.doi.org/10.1038/s41598-018-19406-x |
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author | Reich, Nicholas G. Lessler, Justin Varma, Jay K. Vora, Neil M. |
author_facet | Reich, Nicholas G. Lessler, Justin Varma, Jay K. Vora, Neil M. |
author_sort | Reich, Nicholas G. |
collection | PubMed |
description | During outbreaks of deadly emerging pathogens (e.g., Ebola, MERS-CoV) and bioterror threats (e.g., smallpox), actively monitoring potentially infected individuals aims to limit disease transmission and morbidity. Guidance issued by CDC on active monitoring was a cornerstone of its response to the West Africa Ebola outbreak. There are limited data on how to balance the costs and performance of this important public health activity. We present a framework that estimates the risks and costs of specific durations of active monitoring for pathogens of significant public health concern. We analyze data from New York City’s Ebola active monitoring program over a 16-month period in 2014–2016. For monitored individuals, we identified unique durations of active monitoring that minimize expected costs for those at “low (but not zero) risk” and “some or high risk”: 21 and 31 days, respectively. Extending our analysis to smallpox and MERS-CoV, we found that the optimal length of active monitoring relative to the median incubation period was reduced compared to Ebola due to less variable incubation periods. Active monitoring can save lives but is expensive. Resources can be most effectively allocated by using exposure-risk categories to modify the duration or intensity of active monitoring. |
format | Online Article Text |
id | pubmed-5773605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57736052018-01-26 Quantifying the Risk and Cost of Active Monitoring for Infectious Diseases Reich, Nicholas G. Lessler, Justin Varma, Jay K. Vora, Neil M. Sci Rep Article During outbreaks of deadly emerging pathogens (e.g., Ebola, MERS-CoV) and bioterror threats (e.g., smallpox), actively monitoring potentially infected individuals aims to limit disease transmission and morbidity. Guidance issued by CDC on active monitoring was a cornerstone of its response to the West Africa Ebola outbreak. There are limited data on how to balance the costs and performance of this important public health activity. We present a framework that estimates the risks and costs of specific durations of active monitoring for pathogens of significant public health concern. We analyze data from New York City’s Ebola active monitoring program over a 16-month period in 2014–2016. For monitored individuals, we identified unique durations of active monitoring that minimize expected costs for those at “low (but not zero) risk” and “some or high risk”: 21 and 31 days, respectively. Extending our analysis to smallpox and MERS-CoV, we found that the optimal length of active monitoring relative to the median incubation period was reduced compared to Ebola due to less variable incubation periods. Active monitoring can save lives but is expensive. Resources can be most effectively allocated by using exposure-risk categories to modify the duration or intensity of active monitoring. Nature Publishing Group UK 2018-01-18 /pmc/articles/PMC5773605/ /pubmed/29348656 http://dx.doi.org/10.1038/s41598-018-19406-x Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Reich, Nicholas G. Lessler, Justin Varma, Jay K. Vora, Neil M. Quantifying the Risk and Cost of Active Monitoring for Infectious Diseases |
title | Quantifying the Risk and Cost of Active Monitoring for Infectious Diseases |
title_full | Quantifying the Risk and Cost of Active Monitoring for Infectious Diseases |
title_fullStr | Quantifying the Risk and Cost of Active Monitoring for Infectious Diseases |
title_full_unstemmed | Quantifying the Risk and Cost of Active Monitoring for Infectious Diseases |
title_short | Quantifying the Risk and Cost of Active Monitoring for Infectious Diseases |
title_sort | quantifying the risk and cost of active monitoring for infectious diseases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773605/ https://www.ncbi.nlm.nih.gov/pubmed/29348656 http://dx.doi.org/10.1038/s41598-018-19406-x |
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