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The changing epidemiology of SARS-CoV-2

We have come a long way since the start of the COVID-19 pandemic—from hoarding toilet paper and wiping down groceries to sending our children back to school and vaccinating billions. Over this period, the global community of epidemiologists and evolutionary biologists has also come a long way in und...

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Autores principales: Koelle, Katia, Martin, Michael A., Antia, Rustom, Lopman, Ben, Dean, Natalie E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009722/
https://www.ncbi.nlm.nih.gov/pubmed/35271324
http://dx.doi.org/10.1126/science.abm4915
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author Koelle, Katia
Martin, Michael A.
Antia, Rustom
Lopman, Ben
Dean, Natalie E.
author_facet Koelle, Katia
Martin, Michael A.
Antia, Rustom
Lopman, Ben
Dean, Natalie E.
author_sort Koelle, Katia
collection PubMed
description We have come a long way since the start of the COVID-19 pandemic—from hoarding toilet paper and wiping down groceries to sending our children back to school and vaccinating billions. Over this period, the global community of epidemiologists and evolutionary biologists has also come a long way in understanding the complex and changing dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19. In this Review, we retrace our steps through the questions that this community faced as the pandemic unfolded. We focus on the key roles that mathematical modeling and quantitative analyses of empirical data have played in allowing us to address these questions and ultimately to better understand and control the pandemic.
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spelling pubmed-90097222022-04-14 The changing epidemiology of SARS-CoV-2 Koelle, Katia Martin, Michael A. Antia, Rustom Lopman, Ben Dean, Natalie E. Science Article We have come a long way since the start of the COVID-19 pandemic—from hoarding toilet paper and wiping down groceries to sending our children back to school and vaccinating billions. Over this period, the global community of epidemiologists and evolutionary biologists has also come a long way in understanding the complex and changing dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19. In this Review, we retrace our steps through the questions that this community faced as the pandemic unfolded. We focus on the key roles that mathematical modeling and quantitative analyses of empirical data have played in allowing us to address these questions and ultimately to better understand and control the pandemic. 2022-03-11 2022-03-10 /pmc/articles/PMC9009722/ /pubmed/35271324 http://dx.doi.org/10.1126/science.abm4915 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/. This license does not apply to figures/photos/artwork or other content included in the article that is credited to a third party; obtain authorization from the rights holder before using such material.
spellingShingle Article
Koelle, Katia
Martin, Michael A.
Antia, Rustom
Lopman, Ben
Dean, Natalie E.
The changing epidemiology of SARS-CoV-2
title The changing epidemiology of SARS-CoV-2
title_full The changing epidemiology of SARS-CoV-2
title_fullStr The changing epidemiology of SARS-CoV-2
title_full_unstemmed The changing epidemiology of SARS-CoV-2
title_short The changing epidemiology of SARS-CoV-2
title_sort changing epidemiology of sars-cov-2
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009722/
https://www.ncbi.nlm.nih.gov/pubmed/35271324
http://dx.doi.org/10.1126/science.abm4915
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