id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-322385-sc2vxxnn	Ebinger, J.	SARS-CoV-2 Seroprevalence Across a Diverse Cohort of Healthcare Workers	2020-08-04		.txt	text/plain	3672	205	38	Main Outcomes: Using Bayesian and multi-variate analyses, we estimated seroprevalence and factors associated with seropositivity and antibody titers, including pre-existing demographic and clinical characteristics; potential Covid-19 illness related exposures; and, symptoms consistent with Covid-19 infection. Recognizing the range of factors that might influence antibody status in a given individual, we focused our study on not only estimating seroprevalence but also on identifying factors associated with seropositivity and relative antibody levels within the following three categories: (1) pre-existing demographic and clinical characteristics; (2) potential Covid-19 illness related exposures; and, (3) Covid-19 illness related response variables (i.e. different types of self-reported symptoms). In adjusted analyses, we compared differences between serology status (i.e. antibody positive versus negative) in each variable of interest, grouped into one of three categories: (1) preexisting demographic and clinical characteristics (e.g. age, gender, ethnicity, race, and selfreported medical comorbidities); (2) Covid-19 related exposures (e.g. self-reported medical diagnosis of Covid-19 illness, household member with Covid-19 illness, number of people living in the home including children, type of home dwelling, etc); and, (3) Covid-19 related response variables (e.g. self-reported fever, chills, dry cough, anosmia, nausea, myalgias, etc.).	./cache/cord-322385-sc2vxxnn.txt	./txt/cord-322385-sc2vxxnn.txt