U.S. flag An official website of the United States government.
Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

i

Exposures Before Issuance of Stay-at-home Orders Among Persons with Laboratory-confirmed COVID-19 — Colorado, March 2020

Supporting Files Public Domain
File Language:
English


Details

  • Personal Author:
  • Corporate Authors:
  • Description:
    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† (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§ 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 tTesting 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).

    Among the 600 randomly selected COVID-19 patients, 133 (22%) were unreachable, 57 (10%) declined to participate, and 46 (8%) were ineligible (e.g., the onset date was too early or the patient was asymptomatic), leaving 364 (61%) participants. The median age of participants was 50 years (interquartile range = 34–64 years), and 187 (51%) were male. Overall, 206 (57%) participants identified as non-Hispanic white and 75 (21%) as Hispanic. Among all participants, 345 (95%) reported having health insurance, 128 (35%) were hospitalized and 18 (5%) died. Occupations reported by the 264 (73%) working participants were most frequently categorized into the following workplace settings¶: health care (99; 38%), professional or office setting (46; 17%), public administration or armed forces (18; 7%), and manufacturing (including meat-packing) (15; 6%).

    Suggested citation for this article: Marshall K, Vahey GM, McDonald E, et al. Exposures Before Issuance of Stay-at-Home Orders Among Persons with Laboratory-Confirmed COVID-19 — Colorado, March 2020. MMWR Morb Mortal Wkly Rep. ePub: 30 June 2020.

    mm6926e4-H.pdf

    mm6926e4.htm?s_cid=mm6926e4_w

  • Subjects:
  • Source:
    MMWR: Morbidity and Mortality Weekly Report 2020; v. 69 Early Release
  • Series:
  • ISSN:
    0149-2195 (print) ; 1545-861X (digital)
  • Document Type:
  • Place as Subject:
  • Pages in Document:
    3 pdf pages
  • Volume:
    69
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:eaacab840e28607976a6f81368e800c6d3f6a90a7cc3aab76c605827f0424d18a3d8f881ceaf1a8212bb73e90bb8aac49446b2d8e32a4badb67a79e71a5f1588
  • Download URL:
  • File Type:
    Filetype[PDF - 135.90 KB ]
File Language:
English
ON THIS PAGE

CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners.

As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.