Author
Listed:
- Alberto Aleta
(Institute for Scientific Interchange Foundation)
- David Martín-Corral
(Universidad Carlos III de Madrid
Zensei Technologies S.L.)
- Ana Pastore y Piontti
(Northeastern University)
- Marco Ajelli
(Bruno Kessler Foundation
Indiana University School of Public Health)
- Maria Litvinova
(Institute for Scientific Interchange Foundation)
- Matteo Chinazzi
(Northeastern University)
- Natalie E. Dean
(University of Florida)
- M. Elizabeth Halloran
(Fred Hutchinson Cancer Research Center
University of Washington)
- Ira M. Longini Jr
(University of Florida)
- Stefano Merler
(Bruno Kessler Foundation)
- Alex Pentland
(Massachusetts Institute of Technology)
- Alessandro Vespignani
(Institute for Scientific Interchange Foundation
Northeastern University)
- Esteban Moro
(Universidad Carlos III de Madrid
Massachusetts Institute of Technology)
- Yamir Moreno
(Institute for Scientific Interchange Foundation
University of Zaragoza
University of Zaragoza)
Abstract
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.
Suggested Citation
Alberto Aleta & David Martín-Corral & Ana Pastore y Piontti & Marco Ajelli & Maria Litvinova & Matteo Chinazzi & Natalie E. Dean & M. Elizabeth Halloran & Ira M. Longini Jr & Stefano Merler & Alex Pen, 2020.
"Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19,"
Nature Human Behaviour, Nature, vol. 4(9), pages 964-971, September.
Handle:
RePEc:nat:nathum:v:4:y:2020:i:9:d:10.1038_s41562-020-0931-9
DOI: 10.1038/s41562-020-0931-9
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nathum:v:4:y:2020:i:9:d:10.1038_s41562-020-0931-9. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.