What does and does not correlate with COVID-19 death rates

While severe social-distancing measures have proven effective in slowing the coronavirus disease 2019 (COVID-19) pandemic, second-wave scenarios are likely to emerge as restrictions are lifted. Here we integrate anonymized, geolocalized mobility data with census and demographic data to build a detai...

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Main Authors: Aleta, Alberto, Martín-Corral, David, Pastore y Piontti, Ana, Ajelli, Marco, Litvinova, Maria, Chinazzi, Matteo, Dean, Natalie E., Halloran, M. Elizabeth, Longini Jr, Ira M., Merler, Stefano, Pentland, Alex Paul, Vespignani, Alessandro, Moro Egido, Esteban, Moreno, Yamir
Other Authors: Sloan School of Management
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2020
Online Access:https://hdl.handle.net/1721.1/127217
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author Aleta, Alberto
Martín-Corral, David
Pastore y Piontti, Ana
Ajelli, Marco
Litvinova, Maria
Chinazzi, Matteo
Dean, Natalie E.
Halloran, M. Elizabeth
Longini Jr, Ira M.
Merler, Stefano
Pentland, Alex Paul
Vespignani, Alessandro
Moro Egido, Esteban
Moreno, Yamir
author2 Sloan School of Management
author_facet Sloan School of Management
Aleta, Alberto
Martín-Corral, David
Pastore y Piontti, Ana
Ajelli, Marco
Litvinova, Maria
Chinazzi, Matteo
Dean, Natalie E.
Halloran, M. Elizabeth
Longini Jr, Ira M.
Merler, Stefano
Pentland, Alex Paul
Vespignani, Alessandro
Moro Egido, Esteban
Moreno, Yamir
author_sort Aleta, Alberto
collection MIT
description While severe social-distancing measures have proven effective in slowing the coronavirus disease 2019 (COVID-19) pandemic, second-wave scenarios are likely to emerge as restrictions are lifted. Here we integrate anonymized, geolocalized mobility data with census and demographic data to build a detailed agent-based model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission in the Boston metropolitan area. We find that a period of strict social distancing followed by a robust level of testing, contact-tracing and household quarantine could keep the disease within the capacity of the healthcare system while enabling the reopening of economic activities. Our results show that a response system based on enhanced testing and contact tracing can have a major role in relaxing social-distancing interventions in the absence of herd immunity against SARS-CoV-2.
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spelling mit-1721.1/1272172022-09-30T19:00:53Z What does and does not correlate with COVID-19 death rates Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19 Aleta, Alberto Martín-Corral, David Pastore y Piontti, Ana Ajelli, Marco Litvinova, Maria Chinazzi, Matteo Dean, Natalie E. Halloran, M. Elizabeth Longini Jr, Ira M. Merler, Stefano Pentland, Alex Paul Vespignani, Alessandro Moro Egido, Esteban Moreno, Yamir Sloan School of Management Massachusetts Institute of Technology. Institute for Data, Systems, and Society While severe social-distancing measures have proven effective in slowing the coronavirus disease 2019 (COVID-19) pandemic, second-wave scenarios are likely to emerge as restrictions are lifted. Here we integrate anonymized, geolocalized mobility data with census and demographic data to build a detailed agent-based model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission in the Boston metropolitan area. We find that a period of strict social distancing followed by a robust level of testing, contact-tracing and household quarantine could keep the disease within the capacity of the healthcare system while enabling the reopening of economic activities. Our results show that a response system based on enhanced testing and contact tracing can have a major role in relaxing social-distancing interventions in the absence of herd immunity against SARS-CoV-2. 2020-09-09T17:00:42Z 2020-09-09T17:00:42Z 2020-08 2020-06 2020-09-09T12:46:20Z Article http://purl.org/eprint/type/JournalArticle 2397-3374 https://hdl.handle.net/1721.1/127217 Aleta, A. et al. "Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19." Nature Human Behavior (July 2020): dx.doi.org/10.1038/s41562-020-0931-9 © 2020 Springer Nature en http://dx.doi.org/10.1038/s41562-020-0931-9 Nature Human Behaviour Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Springer Science and Business Media LLC medRxiv
spellingShingle Aleta, Alberto
Martín-Corral, David
Pastore y Piontti, Ana
Ajelli, Marco
Litvinova, Maria
Chinazzi, Matteo
Dean, Natalie E.
Halloran, M. Elizabeth
Longini Jr, Ira M.
Merler, Stefano
Pentland, Alex Paul
Vespignani, Alessandro
Moro Egido, Esteban
Moreno, Yamir
What does and does not correlate with COVID-19 death rates
title What does and does not correlate with COVID-19 death rates
title_full What does and does not correlate with COVID-19 death rates
title_fullStr What does and does not correlate with COVID-19 death rates
title_full_unstemmed What does and does not correlate with COVID-19 death rates
title_short What does and does not correlate with COVID-19 death rates
title_sort what does and does not correlate with covid 19 death rates
url https://hdl.handle.net/1721.1/127217
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