{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["95(9)"],"submitter":["Nuzzo A"],"pubmed_abstract":["<h4>Objective</h4>To model and compare effect of digital contact tracing versus shelter-in-place on severe acute respiratory syndrome - coronavirus 2 (SARS-CoV-2) spread.<h4>Methods</h4>Using a classical epidemiologic framework and parameters estimated from literature published between February 1, 2020, and May 25, 2020, we modeled two non-pharmacologic interventions - shelter-in-place and digital contact tracing - to curb spread of SARS-CoV-2. For contact tracing, we assumed an advanced automated contact tracing (AACT) application that sends alerts to individuals advising self-isolation based on individual exposure profile. Model parameters included percentage population ordered to shelter-in-place, adoption rate of AACT, and percentage individuals who appropriately follow recommendations"],"journal":["Mayo Clinic proceedings"],"pagination":["1898-1905"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7306713"],"repository":["biostudies-literature"],"pubmed_title":["Universal Shelter-in-Place Versus Advanced Automated Contact Tracing and Targeted Isolation: A Case for 21st-Century Technologies for SARS-CoV-2 and Future Pandemics."],"pmcid":["PMC7306713"],"pubmed_authors":["Gupta R","Raskar R","Nuzzo A","Tan CO","Kapa S","DeSimone DC"],"additional_accession":[]},"is_claimable":false,"name":"Universal Shelter-in-Place Versus Advanced Automated Contact Tracing and Targeted Isolation: A Case for 21st-Century Technologies for SARS-CoV-2 and Future Pandemics.","description":"<h4>Objective</h4>To model and compare effect of digital contact tracing versus shelter-in-place on severe acute respiratory syndrome - coronavirus 2 (SARS-CoV-2) spread.<h4>Methods</h4>Using a classical epidemiologic framework and parameters estimated from literature published between February 1, 2020, and May 25, 2020, we modeled two non-pharmacologic interventions - shelter-in-place and digital contact tracing - to curb spread of SARS-CoV-2. For contact tracing, we assumed an advanced automated contact tracing (AACT) application that sends alerts to individuals advising self-isolation based on individual exposure profile. Model parameters included percentage population ordered to shelter-in-place, adoption rate of AACT, and percentage individuals who appropriately follow recommendations","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Sep","modification":"2025-04-05T15:19:02.819Z","creation":"2020-08-30T07:18:51Z"},"accession":"S-EPMC7306713","cross_references":{"pubmed":["32861334"],"doi":["10.1016/j.mayocp.2020.06.027"]}}