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

Details

• Alternative Title:
  Emerg Infect Dis
• Personal Author:
  Kenu, Ernest ; Barradas, Danielle T. ; Bandoh, Delia A. ; Frimpong, Joseph A. ; Noora, Charles L. ; Bekoe, Franklin A.
• Description:
  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.
• Subjects:
  Contact Tracing COVID-19/ Epidemiology Geographic Information Systems Humans Pandemics SARS-COV-2
• Source:
  Emerg Infect Dis. 2022; 28(Suppl 1):S114-S120
• Pubmed ID:
  36502391
• Pubmed Central ID:
  PMC9745224
• Document Type:
  Journal Article
• Place as Subject:
  Ghana
• Volume:
  28
• Collection(s):
  Emerging Infectious Diseases
• Main Document Checksum:
  urn:sha256:be1aeca03d7678cc55376744df9762ceb36067935c0998f6ee62d124271c8ef6
• Download URL:
  https://stacks.cdc.gov/view/cdc/123336/cdc_123336_DS1.pdf
• File Type:
  [PDF - 1.91 MB ]