Effects of Cocooning on Coronavirus Disease Rates after Relaxing Social Distancing

As coronavirus disease spreads throughout the United States, policymakers are contemplating reinstatement and relaxation of shelter-in-place orders. By using a model capturing high-risk populations and transmission rates estimated from hospitalization data, we found that postponing relaxation will only delay future disease waves. Cocooning vulnerable populations can prevent overwhelming medical surges.

Errataetall:

UpdateOf: medRxiv. 2020 May 08;:. - PMID 32511509

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:26

Enthalten in:

Emerging infectious diseases - 26(2020), 12 vom: 06. Dez., Seite 3066-3068

Sprache:

Englisch

Beteiligte Personen:

Wang, Xutong [VerfasserIn]
Du, Zhanwei [VerfasserIn]
Huang, George [VerfasserIn]
Pasco, Remy F [VerfasserIn]
Fox, Spencer J [VerfasserIn]
Galvani, Alison P [VerfasserIn]
Pignone, Michael [VerfasserIn]
Johnston, S Claiborne [VerfasserIn]
Meyers, Lauren Ancel [VerfasserIn]

Links:

Volltext

Themen:

COVID-19
Coronavirus
Coronavirus disease
Epidemiology
Hospital bed capacity
Journal Article
Mathematical model
Pandemics
Respiratory infections
SARS
SARS-CoV-2
Severe acute respiratory syndrome coronavirus 2
Viruses
Zoonoses

Anmerkungen:

Date Completed 01.01.2021

Date Revised 08.11.2022

published: Print-Electronic

UpdateOf: medRxiv. 2020 May 08;:. - PMID 32511509

Citation Status MEDLINE

doi:

10.3201/eid2612.201930

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM315278838