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...
Main Authors: | , , , , , , , , , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Springer Science and Business Media LLC
2020
|
Online Access: | https://hdl.handle.net/1721.1/127217 |
_version_ | 1811075493764530176 |
---|---|
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. |
first_indexed | 2024-09-23T10:07:00Z |
format | Article |
id | mit-1721.1/127217 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T10:07:00Z |
publishDate | 2020 |
publisher | Springer Science and Business Media LLC |
record_format | dspace |
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 |
work_keys_str_mv | AT aletaalberto whatdoesanddoesnotcorrelatewithcovid19deathrates AT martincorraldavid whatdoesanddoesnotcorrelatewithcovid19deathrates AT pastoreypionttiana whatdoesanddoesnotcorrelatewithcovid19deathrates AT ajellimarco whatdoesanddoesnotcorrelatewithcovid19deathrates AT litvinovamaria whatdoesanddoesnotcorrelatewithcovid19deathrates AT chinazzimatteo whatdoesanddoesnotcorrelatewithcovid19deathrates AT deannataliee whatdoesanddoesnotcorrelatewithcovid19deathrates AT halloranmelizabeth whatdoesanddoesnotcorrelatewithcovid19deathrates AT longinijriram whatdoesanddoesnotcorrelatewithcovid19deathrates AT merlerstefano whatdoesanddoesnotcorrelatewithcovid19deathrates AT pentlandalexpaul whatdoesanddoesnotcorrelatewithcovid19deathrates AT vespignanialessandro whatdoesanddoesnotcorrelatewithcovid19deathrates AT moroegidoesteban whatdoesanddoesnotcorrelatewithcovid19deathrates AT morenoyamir whatdoesanddoesnotcorrelatewithcovid19deathrates AT aletaalberto modellingtheimpactoftestingcontacttracingandhouseholdquarantineonsecondwavesofcovid19 AT martincorraldavid modellingtheimpactoftestingcontacttracingandhouseholdquarantineonsecondwavesofcovid19 AT pastoreypionttiana modellingtheimpactoftestingcontacttracingandhouseholdquarantineonsecondwavesofcovid19 AT ajellimarco modellingtheimpactoftestingcontacttracingandhouseholdquarantineonsecondwavesofcovid19 AT litvinovamaria modellingtheimpactoftestingcontacttracingandhouseholdquarantineonsecondwavesofcovid19 AT chinazzimatteo modellingtheimpactoftestingcontacttracingandhouseholdquarantineonsecondwavesofcovid19 AT deannataliee modellingtheimpactoftestingcontacttracingandhouseholdquarantineonsecondwavesofcovid19 AT halloranmelizabeth modellingtheimpactoftestingcontacttracingandhouseholdquarantineonsecondwavesofcovid19 AT longinijriram modellingtheimpactoftestingcontacttracingandhouseholdquarantineonsecondwavesofcovid19 AT merlerstefano modellingtheimpactoftestingcontacttracingandhouseholdquarantineonsecondwavesofcovid19 AT pentlandalexpaul modellingtheimpactoftestingcontacttracingandhouseholdquarantineonsecondwavesofcovid19 AT vespignanialessandro modellingtheimpactoftestingcontacttracingandhouseholdquarantineonsecondwavesofcovid19 AT moroegidoesteban modellingtheimpactoftestingcontacttracingandhouseholdquarantineonsecondwavesofcovid19 AT morenoyamir modellingtheimpactoftestingcontacttracingandhouseholdquarantineonsecondwavesofcovid19 |