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Epidemiology of SARS-CoV-2 transmission and superspreading in Salt Lake County, Utah, March-May 2020.
Walker, Joseph; Tran, Tiffany; Lappe, Brooke; Gastanaduy, Paul; Paul, Prabasaj; Kracalik, Ian T; Fields, Victoria L; Lopez, Adriana; Schwartz, Amy; Lewis, Nathaniel M; Tate, Jacqueline E; Kirking, Hannah L; Hall, Aron J; Pevzner, Eric; Khong, Ha; Smithee, Maureen; Lowry, Jason; Dunn, Angela; Kiphibane, Tair; Tran, Cuc H.
Affiliation
  • Walker J; COVID-19 Response Team, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Tran T; COVID-19 Response Team, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Lappe B; COVID-19 Response Team, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Gastanaduy P; COVID-19 Response Team, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Paul P; COVID-19 Response Team, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Kracalik IT; COVID-19 Response Team, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Fields VL; COVID-19 Response Team, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Lopez A; Epidemic Intelligence Service, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Schwartz A; COVID-19 Response Team, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Lewis NM; COVID-19 Response Team, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Tate JE; COVID-19 Response Team, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Kirking HL; Epidemic Intelligence Service, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Hall AJ; Utah Department of Health, Salt Lake City, Utah, United States of America.
  • Pevzner E; COVID-19 Response Team, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Khong H; COVID-19 Response Team, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Smithee M; COVID-19 Response Team, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Lowry J; COVID-19 Response Team, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Dunn A; Salt Lake County Health Department, Salt Lake City, Utah, United States of America.
  • Kiphibane T; Salt Lake County Health Department, Salt Lake City, Utah, United States of America.
  • Tran CH; Salt Lake County Health Department, Salt Lake City, Utah, United States of America.
PLoS One ; 18(6): e0275125, 2023.
Article in En | MEDLINE | ID: mdl-37352280
ABSTRACT

BACKGROUND:

Understanding the drivers of SARS-CoV-2 transmission can inform the development of interventions. We evaluated transmission identified by contact tracing investigations between March-May 2020 in Salt Lake County, Utah, to quantify the impact of this intervention and identify risk factors for transmission.

METHODS:

RT-PCR positive and untested symptomatic contacts were classified as confirmed and probable secondary case-patients, respectively. We compared the number of case-patients and close contacts generated by different groups, and used logistic regression to evaluate factors associated with transmission.

RESULTS:

Data were collected on 184 index case-patients and up to six generations of contacts. Of 1,499 close contacts, 374 (25%) were classified as secondary case-patients. Decreased transmission odds were observed for contacts aged <18 years (OR = 0.55 [95% CI 0.38-0.79]), versus 18-44 years, and for workplace (OR = 0.36 [95% CI 0.23-0.55]) and social (OR = 0.44 [95% CI 0.28-0.66]) contacts, versus household contacts. Higher transmission odds were observed for case-patient's spouses than other household contacts (OR = 2.25 [95% CI 1.52-3.35]). Compared to index case-patients identified in the community, secondary case-patients identified through contract-tracing generated significantly fewer close contacts and secondary case-patients of their own. Transmission was heterogeneous, with 41% of index case-patients generating 81% of directly-linked secondary case-patients.

CONCLUSIONS:

Given sufficient resources and complementary public health measures, contact tracing can contain known chains of SARS-CoV-2 transmission. Transmission is associated with age and exposure setting, and can be highly variable, with a few infections generating a disproportionately high share of onward transmission.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Affiliation country: Estados Unidos