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Evaluation of cholera surveillance system in Osu Klottey District, Accra, Ghana (2011-2013)

  • Eric Yirenkyi Adjei
  • , Keziah Laurencia Malm
  • , Kofi Nyarko Mensah
  • , Samuel Oko Sackey
  • , Donne Ameme
  • , Ernest Kenu
  • , Marijanatu Abdulai
  • , Richael Mills
  • , Edwin Afari
  • Geological Survey Department
  • Korle Bu Teaching Hospital

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

Introduction: Cholera is an acute illness characterized by profuse watery diarrhea. It is caused by vibrio cholera subgroup 01 and 0139. Rapid administration of fluid replacement therapy and supportive treatment can reduce mortality to around 1%. By the close of 2011, 10,628 cases and 100 deaths were reported in Ghana with a case fatality rate of 0.99. It is important to evaluate the cholera surveillance system in Ghana to determine if it is meeting its objective. Methods: The study was conducted in Osu Klottey district in the Accra Metropolitan area in January 2014. We assessed the operations (attributes and performance) of the surveillance system for cholera using CDC guidelines (2001). Surveillance data records at the district level from 2011-2013 were extracted and analyzed for frequency using Microsoft excel. Stakeholders and key informants were interviewed using structured questionnaire. Records were also reviewed at some health facilities and at district levels. Results: in 2011 and 2012, case fatality rates (1.3% and 0.65%) respectively. Males were mostly affected. The most affected age group was 20-29. In 2011, Predictive value positive was 69.2% and 50% in 2012.Cholera peaked in March 2011 and April 2012. The Government of Ghana funded the system. The system is sensitive, simple, stable, flexible, acceptable and representative. It was also useful and data quality was relatively good. Predictive Value Positive was also good. Conclusion: The surveillance system is achieving its set out objectives. The system is sensitive, simple, stable, flexible, and acceptable. Predictive value positive was good.

Original languageEnglish
Article number224
JournalPan African Medical Journal
Volume28
DOIs
Publication statusPublished - 13 Nov 2017
Externally publishedYes

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

Keywords

  • Case fatality rate
  • Evaluation
  • Indicators
  • Osu Klottey
  • Predictive value positive
  • Stakeholders
  • Surveillance

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