About: A Bayesian Framework for Estimating the Risk Ratio of Hospitalization for People with Comorbidity Infected by the SARS-CoV-2 Virus

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About: A Bayesian Framework for Estimating the Risk Ratio of Hospitalization for People with Comorbidity Infected by the SARS-CoV-2 Virus Goto Sponge NotDistinct Permalink

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	A Bayesian Framework for Estimating the Risk Ratio of Hospitalization for People with Comorbidity Infected by the SARS-CoV-2 Virus
Creator	Gao, Xiang Dong, Qunfeng
source	MedRxiv
abstract	Estimating the hospitalization risk for people with certain comorbidities infected by the SARS-CoV-2 virus is important for developing public health policies and guidance based on risk stratification. Traditional biostatistical methods require knowing both the number of infected people who were hospitalized and the number of infected people who were not hospitalized. However, the latter may be undercounted, as it is limited to only those who were tested for viral infection. In addition, comorbidity information for people not hospitalized may not always be readily available for traditional biostatistical analyses. To overcome these limitations, we developed a Bayesian approach that only requires the observed frequency of comorbidities in COVID-19 patients in hospitals and the prevalence of comorbidities in the general population. By applying our approach to two different large-scale datasets in the U.S., our results consistently indicated that cardiovascular diseases carried the highest hospitalization risk for COVID-19 patients, followed by diabetes, chronic respiratory disease, hypertension, and obesity, respectively.
has issue date	2020-07-28(xsd:dateTime)
bibo:doi	10.1101/2020.07.25.20162131
has license	medrxiv
sha1sum (hex)	f5fd6d51a410be2e7a1849cb03a7d7c4cd80bf60
schema:url	https://doi.org/10.1101/2020.07.25.20162131
resource representing a document's title	A Bayesian Framework for Estimating the Risk Ratio of Hospitalization for People with Comorbidity Infected by the SARS-CoV-2 Virus
resource representing a document's body	covid:f5fd6d51a410be2e7a1849cb03a7d7c4cd80bf60#body_text
is schema:about of	named entity 'DIABETES' named entity 'RESULTS' named entity 'OBESITY' named entity 'LIMITED' named entity 'APPLYING' »more»

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