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Estimating individual risks of COVID-19-associated hospitalization and death using publicly available data.
Bhatia, Rajiv; Klausner, Jeffrey.
  • Bhatia R; Department of Medicine (Affiliated), Stanford University, Stanford, California, United States of America.
  • Klausner J; Department of Medicine and Public Health, University of California Los Angeles, Los Angeles, California, United States of America.
PLoS One ; 15(12): e0243026, 2020.
Article in English | MEDLINE | ID: covidwho-1177757
ABSTRACT
We describe a method to estimate individual risks of hospitalization and death attributable to non-household and household transmission of SARS-CoV-2 using available public data on confirmed-case incidence data along with estimates of the clinical fraction, timing of transmission, isolation adherence, secondary infection risks, contact rates, and case-hospitalization and case-fatality ratios. Using the method, we estimate that risks for a 90-day period at the median daily summertime U.S. county confirmed COVID-19 case incidence of 10.8 per 100,000 and pre-pandemic contact rates range from 0.4 to 8.9 per 100,000 for the four deciles of age between 20 and 60 years. The corresponding 90-day period risk of hospitalization ranges from 13.7 to 69.2 per 100,000. Assuming a non-household secondary infection risk of 4% and pre-pandemic contact rates, the share of transmissions attributable to household settings ranges from 73% to 78%. These estimates are sensitive to the parameter assumptions; nevertheless, they are comparable to the COVID-19 hospitalization and fatality rates observed over the time period. We conclude that individual risk of hospitalization and death from SARS-CoV-2 infection is calculable from publicly available data sources. Access to publicly reported infection incidence data by setting and other exposure characteristics along with setting specific estimates of secondary infection risk would allow for more precise individual risk estimation.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Forecasting / COVID-19 / Hospitalization Type of study: Observational study / Prognostic study Limits: Adult / Humans / Middle aged Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0243026

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Forecasting / COVID-19 / Hospitalization Type of study: Observational study / Prognostic study Limits: Adult / Humans / Middle aged Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0243026