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MMWR Morb Mortal Wkly Rep . Exposures Before Issuance of Stay-at-Home Orders Among Persons With Laboratory-Confirmed COVID-19 - Colorado, March 202

tetano

Editor, Senior Moderator
MMWR Morb Mortal Wkly Rep


. 2020 Jul 3;69(26):847-849.
doi: 10.15585/mmwr.mm6926e4.
Exposures Before Issuance of Stay-at-Home Orders Among Persons With Laboratory-Confirmed COVID-19 - Colorado, March 2020

Kristen Marshall, Grace M Vahey, Emily McDonald, Jacqueline E Tate, Rachel Herlihy, Claire M Midgley, Breanna Kawasaki, Marie E Killerby, Nisha B Alden, J Erin Staples, Colorado Investigation Team


Collaborators, AffiliationsExpand

Abstract

On March 26, 2020, Colorado instituted stay-at-home orders to reduce community transmission of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19). To inform public health messaging and measures that could be used after reopening, persons with laboratory-confirmed COVID-19 during March 9-26 from nine Colorado counties comprising approximately 80% of the state's population[SUP]†[/SUP] (Adams, Arapahoe, Boulder, Denver, Douglas, El Paso, Jefferson, Larimer, and Weld) were asked about possible exposures to SARS-CoV-2 before implementation of stay-at-home orders. Among 1,738 persons meeting the inclusion criteria[SUP]?[/SUP] in the Colorado Electronic Disease Surveillance System, 600 were randomly selected and interviewed using a standardized questionnaire by telephone. Data collection during April 10-30 included information about demographic characteristics, occupations, and selected activities in the 2 weeks preceding symptom onset. During the period examined, SARS-CoV-2 molecular testing was widely available in Colorado; community transmission was documented before implementation of the stay-at-home order. At least three attempts were made to contact all selected patients or their proxy (for deceased patients, minors, and persons unable to be interviewed [e.g., those with dementia]) on at least 2 separate days, at different times of day. Data were entered into a Research Electronic Data Capture (version 9.5.13; Vanderbilt University) database, and descriptive analyses used R statistical software (version 3.6.3; The R Foundation).
 
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