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The public health impact of COVID-19 variants of concern on the effectiveness of contact tracing in Vermont, United States.
Castonguay, François M; Borah, Brian F; Jeon, Seonghye; Rainisch, Gabriel; Kelso, Patsy; Adhikari, Bishwa B; Daltry, Daniel J; Fischer, Leah S; Greening, Bradford; Kahn, Emily B; Kang, Gloria J; Meltzer, Martin I.
Affiliation
  • Castonguay FM; National Center for Emerging and Zoonotic Infectious Diseases, Division of Preparedness and Emerging Infections, Health Economics and Modeling Unit, Centers for Disease Control and Prevention, U.S. Department of Health and Human Services, Atlanta, GA, USA. francois.castonguay@umontreal.ca.
  • Borah BF; Modeling Support Team, Contact Tracing and Innovation Section (CTIS), State Local Tribal and Territorial (STLT) Task Force, CDC COVID-19 Response; Centers for Disease Control and Prevention, Department of Health and Human Services, Atlanta, GA, USA. francois.castonguay@umontreal.ca.
  • Jeon S; Department of Health Management, Evaluation and Policy, University of Montreal School of Public Health, and Centre for Public Health Research - CReSP, 7101 Avenue du Parc, 3e étage, Montréal, QC, H3N 1X9, Canada. francois.castonguay@umontreal.ca.
  • Rainisch G; Vermont Department of Health, Burlington, USA.
  • Kelso P; Epidemic Intelligence Service, U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Adhikari BB; National Center for Emerging and Zoonotic Infectious Diseases, Division of Preparedness and Emerging Infections, Health Economics and Modeling Unit, Centers for Disease Control and Prevention, U.S. Department of Health and Human Services, Atlanta, GA, USA.
  • Daltry DJ; Modeling Support Team, Contact Tracing and Innovation Section (CTIS), State Local Tribal and Territorial (STLT) Task Force, CDC COVID-19 Response; Centers for Disease Control and Prevention, Department of Health and Human Services, Atlanta, GA, USA.
  • Fischer LS; National Center for Emerging and Zoonotic Infectious Diseases, Division of Preparedness and Emerging Infections, Health Economics and Modeling Unit, Centers for Disease Control and Prevention, U.S. Department of Health and Human Services, Atlanta, GA, USA.
  • Greening B; Modeling Support Team, Contact Tracing and Innovation Section (CTIS), State Local Tribal and Territorial (STLT) Task Force, CDC COVID-19 Response; Centers for Disease Control and Prevention, Department of Health and Human Services, Atlanta, GA, USA.
  • Kahn EB; Vermont Department of Health, Burlington, USA.
  • Kang GJ; National Center for Emerging and Zoonotic Infectious Diseases, Division of Preparedness and Emerging Infections, Health Economics and Modeling Unit, Centers for Disease Control and Prevention, U.S. Department of Health and Human Services, Atlanta, GA, USA.
  • Meltzer MI; Modeling Support Team, Contact Tracing and Innovation Section (CTIS), State Local Tribal and Territorial (STLT) Task Force, CDC COVID-19 Response; Centers for Disease Control and Prevention, Department of Health and Human Services, Atlanta, GA, USA.
Sci Rep ; 14(1): 17848, 2024 08 01.
Article in En | MEDLINE | ID: mdl-39090157
ABSTRACT
Case investigation and contact tracing (CICT) are public health measures that aim to break the chain of pathogen transmission. Changes in viral characteristics of COVID-19 variants have likely affected the effectiveness of CICT programs. We estimated and compared the cases averted in Vermont when the original COVID-19 strain circulated (Nov. 25, 2020-Jan. 19, 2021) with two periods when the Delta strain dominated (Aug. 1-Sept. 25, 2021, and Sept. 26-Nov. 20, 2021). When the original strain circulated, we estimated that CICT prevented 7180 cases (55% reduction in disease burden), compared to 1437 (15% reduction) and 9970 cases (40% reduction) when the Delta strain circulated. Despite the Delta variant being more infectious and having a shorter latency period, CICT remained an effective tool to slow spread of COVID-19; while these viral characteristics did diminish CICT effectiveness, non-viral characteristics had a much greater impact on CICT effectiveness.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Public Health / Contact Tracing / SARS-CoV-2 / COVID-19 Limits: Humans Country/Region as subject: America do norte Language: En Journal: Sci Rep Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Public Health / Contact Tracing / SARS-CoV-2 / COVID-19 Limits: Humans Country/Region as subject: America do norte Language: En Journal: Sci Rep Year: 2024 Document type: Article