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Contact tracing reveals community transmission of COVID-19 in New York City.
Pei, Sen; Kandula, Sasikiran; Cascante Vega, Jaime; Yang, Wan; Foerster, Steffen; Thompson, Corinne; Baumgartner, Jennifer; Ahuja, Shama Desai; Blaney, Kathleen; Varma, Jay K; Long, Theodore; Shaman, Jeffrey.
Affiliation
  • Pei S; Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA. sp3449@cumc.columbia.edu.
  • Kandula S; Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA.
  • Cascante Vega J; Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA.
  • Yang W; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA.
  • Foerster S; New York City Department of Health and Mental Hygiene (DOHMH), Long Island City, NY, 11001, USA.
  • Thompson C; New York City Department of Health and Mental Hygiene (DOHMH), Long Island City, NY, 11001, USA.
  • Baumgartner J; New York City Department of Health and Mental Hygiene (DOHMH), Long Island City, NY, 11001, USA.
  • Ahuja SD; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA.
  • Blaney K; New York City Department of Health and Mental Hygiene (DOHMH), Long Island City, NY, 11001, USA.
  • Varma JK; New York City Department of Health and Mental Hygiene (DOHMH), Long Island City, NY, 11001, USA.
  • Long T; Department of Population Health Sciences, Weill Cornell Medical College, New York, NY, 10065, USA.
  • Shaman J; NYC Health + Hospitals, New York, NY, USA.
Nat Commun ; 13(1): 6307, 2022 10 23.
Article in En | MEDLINE | ID: mdl-36274183
ABSTRACT
Understanding SARS-CoV-2 transmission within and among communities is critical for tailoring public health policies to local context. However, analysis of community transmission is challenging due to a lack of high-resolution surveillance and testing data. Here, using contact tracing records for 644,029 cases and their contacts in New York City during the second pandemic wave, we provide a detailed characterization of the operational performance of contact tracing and reconstruct exposure and transmission networks at individual and ZIP code scales. We find considerable heterogeneity in reported close contacts and secondary infections and evidence of extensive transmission across ZIP code areas. Our analysis reveals the spatial pattern of SARS-CoV-2 spread and communities that are tightly interconnected by exposure and transmission. We find that locations with higher vaccination coverage and lower numbers of visitors to points-of-interest had reduced within- and cross-ZIP code transmission events, highlighting potential measures for curtailing SARS-CoV-2 spread in urban settings.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Contact Tracing / COVID-19 Limits: Humans Country/Region as subject: America do norte Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2022 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Contact Tracing / COVID-19 Limits: Humans Country/Region as subject: America do norte Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2022 Document type: Article Affiliation country: United States
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