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Variation in SARS-CoV-2 free-living survival and environmental transmission can modulate the intensity of emerging outbreaks
Variation in free-living, microparasite survival can have a meaningful impact on the ecological dynamics of established and emerging infectious diseases. Nevertheless, resolving the importance of environmental transmission in the ecology of epidemics remains a persistent challenge, requires accurate...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273281/ https://www.ncbi.nlm.nih.gov/pubmed/32511513 http://dx.doi.org/10.1101/2020.05.04.20090092 |
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author | Ogbunugafor, C. Brandon Miller-Dickson, Miles D. Meszaros, Victor A. Gomez, Lourdes M. Murillo, Anarina L. Scarpino, Samuel V. |
author_facet | Ogbunugafor, C. Brandon Miller-Dickson, Miles D. Meszaros, Victor A. Gomez, Lourdes M. Murillo, Anarina L. Scarpino, Samuel V. |
author_sort | Ogbunugafor, C. Brandon |
collection | PubMed |
description | Variation in free-living, microparasite survival can have a meaningful impact on the ecological dynamics of established and emerging infectious diseases. Nevertheless, resolving the importance of environmental transmission in the ecology of epidemics remains a persistent challenge, requires accurate measuring the free-living survival of pathogens across reservoirs of various kinds, and quantifying the extent to which interaction between hosts and reservoirs generates new infections. These questions are especially salient for emerging pathogens, where sparse and noisy data can obfuscate the relative contribution of different infection routes. In this study, we develop a mechanistic, mathematical model that permits both direct (host-to-host) and indirect (environmental) transmission and then fit this model to empirical data from 17 countries affected by an emerging virus (SARS-CoV-2). From an ecological perspective, our model highlights the potential for environmental transmission to drive complex, non-linear dynamics during infectious disease outbreaks. Summarizing, we propose that fitting such models with environmental transmission to real outbreak data from SARS-CoV-2 transmission highlights that variation in environmental transmission is an underappreciated aspect of the ecology of infectious disease, and an incomplete understanding of its role has consequences for public health interventions. |
format | Online Article Text |
id | pubmed-7273281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-72732812020-06-07 Variation in SARS-CoV-2 free-living survival and environmental transmission can modulate the intensity of emerging outbreaks Ogbunugafor, C. Brandon Miller-Dickson, Miles D. Meszaros, Victor A. Gomez, Lourdes M. Murillo, Anarina L. Scarpino, Samuel V. medRxiv Article Variation in free-living, microparasite survival can have a meaningful impact on the ecological dynamics of established and emerging infectious diseases. Nevertheless, resolving the importance of environmental transmission in the ecology of epidemics remains a persistent challenge, requires accurate measuring the free-living survival of pathogens across reservoirs of various kinds, and quantifying the extent to which interaction between hosts and reservoirs generates new infections. These questions are especially salient for emerging pathogens, where sparse and noisy data can obfuscate the relative contribution of different infection routes. In this study, we develop a mechanistic, mathematical model that permits both direct (host-to-host) and indirect (environmental) transmission and then fit this model to empirical data from 17 countries affected by an emerging virus (SARS-CoV-2). From an ecological perspective, our model highlights the potential for environmental transmission to drive complex, non-linear dynamics during infectious disease outbreaks. Summarizing, we propose that fitting such models with environmental transmission to real outbreak data from SARS-CoV-2 transmission highlights that variation in environmental transmission is an underappreciated aspect of the ecology of infectious disease, and an incomplete understanding of its role has consequences for public health interventions. Cold Spring Harbor Laboratory 2020-08-01 /pmc/articles/PMC7273281/ /pubmed/32511513 http://dx.doi.org/10.1101/2020.05.04.20090092 Text en http://creativecommons.org/licenses/by-nc/4.0/It is made available under a CC-BY-NC 4.0 International license (http://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Article Ogbunugafor, C. Brandon Miller-Dickson, Miles D. Meszaros, Victor A. Gomez, Lourdes M. Murillo, Anarina L. Scarpino, Samuel V. Variation in SARS-CoV-2 free-living survival and environmental transmission can modulate the intensity of emerging outbreaks |
title | Variation in SARS-CoV-2 free-living survival and environmental transmission can modulate the intensity of emerging outbreaks |
title_full | Variation in SARS-CoV-2 free-living survival and environmental transmission can modulate the intensity of emerging outbreaks |
title_fullStr | Variation in SARS-CoV-2 free-living survival and environmental transmission can modulate the intensity of emerging outbreaks |
title_full_unstemmed | Variation in SARS-CoV-2 free-living survival and environmental transmission can modulate the intensity of emerging outbreaks |
title_short | Variation in SARS-CoV-2 free-living survival and environmental transmission can modulate the intensity of emerging outbreaks |
title_sort | variation in sars-cov-2 free-living survival and environmental transmission can modulate the intensity of emerging outbreaks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273281/ https://www.ncbi.nlm.nih.gov/pubmed/32511513 http://dx.doi.org/10.1101/2020.05.04.20090092 |
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