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Monitoring and understanding household clustering of SARS-CoV-2 cases using surveillance data in Fulton County, Georgia
Carol Y Liu; Sasha Smith; Allison Chamberlain; Neel R Gandhi; Fazle Khan; Steve Williams; Sarita Shah.
Affiliation
  • Carol Y Liu; Emory University Rollins School of Public Health, Atlanta, GA
  • Sasha Smith; Fulton County Board of Health
  • Allison Chamberlain; Emory University Rollins School of Public Health, Atlanta, GA
  • Neel R Gandhi; Emory University Rollins School of Public Health, Atlanta, GA; Emory School of Medicine, Atlanta, GA
  • Fazle Khan; Fulton County Board of Health
  • Steve Williams; Fulton County Government, Atlanta, GA
  • Sarita Shah; Emory University Rollins School of Public Health, Atlanta, GA
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-22271814
ABSTRACT
BackgroundHouseholds are important for SARS-CoV-2 transmission due to high intensity exposure in enclosed living spaces over prolonged durations. Using contact tracing, the secondary attack rate in households is estimated at 18-20%, yet no studies have examined COVID-19 clustering within households to inform testing and prevention strategies. We sought to quantify and characterize household clustering of COVID-19 cases in Fulton County, Georgia and further explore age-specific patterns in household clusters. MethodsWe used state surveillance data to identify all PCR- or antigen-confirmed cases of COVID-19 in Fulton County, Georgia. Household clustered cases were defined as cases with matching residential address with positive sample collection dates within 28 days of one another. We described proportion of COVID-19 cases that were clustered, stratified by age and over time and explored trends in age of first diagnosed case within clusters and age patterns between first diagnosed case and subsequent household cases. ResultsBetween 6/1/20-10/31/21, there were 106,233 COVID-19 cases with available address reported in Fulton County. Of these, 31,449 (37%) were from 12,955 household clusters. Children were more likely to be in household clusters than any other age group and children increasingly accounted for the first diagnosed household case, rising from 11% in February 2021 to a high of 31% in August 2021. Bubble plot density of age of first diagnosed case and subsequent household cases mirror age-specific patterns in household social mixing. DiscussionOne-third of COVID-19 cases in Fulton County were part of a household cluster. High proportion of children in household clusters reflects higher probability of living in larger homes with caregivers or other children. Increasing probability of children as the first diagnosed case coincide with temporal trends in vaccine roll-out among the elderly in March 2021 and the return to in-person schooling for the Fall 2021 semester. While vaccination remains the most effective intervention at reducing household clustering, other household-level interventions should also be emphasized such as timely testing for household members to prevent ongoing transmission.
License
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Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Language: En Year: 2022 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Language: En Year: 2022 Document type: Preprint