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Community-Based Surveillance and Geographic Information System-Linked Contact Tracing in COVID-19 Case Identification, Ghana, March-June 2020

  • Ernest Kenu
  • , Danielle T. Barradas
  • , Delia A. Bandoh
  • , Joseph A. Frimpong
  • , Charles L. Noora
  • , Franklin A. Bekoe
  • University of Ghana
  • Centers for Disease Control and Prevention
  • Ghana Health Service

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

In response to the COVID-19 pandemic, Ghana implemented various mitigation strategies. We describe use of geographic information system (GIS)-linked contact tracing and increased community-based surveillance (CBS) to help control spread of COVID-19 in Ghana. GIS-linked contact tracing was conducted during March 31-June 16, 2020, in 43 urban districts across 6 regions, and 1-time reverse transcription PCR testing of all persons within a 2-km radius of a confirmed case was performed. CBS was intensified in 6 rural districts during the same period. We extracted and analyzed data from Surveillance Outbreak Response Management and Analysis System and CBS registers. A total of 3,202 COVID-19 cases reported through GIS-linked contact tracing were associated with a 4-fold increase in the weekly number of reported SARS-CoV-2 infected cases. CBS identified 5.1% (8/157) of confirmed cases in 6 districts assessed. Adaptation of new methods, such as GIS-linked contact tracing and intensified CBS, improved COVID-19 case detection in Ghana.

Original languageEnglish
Pages (from-to)S114-S120
JournalEmerging Infectious Diseases
Volume28
Issue number13
DOIs
Publication statusPublished - Dec 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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