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Related Experiment Videos

Community-Based Surveillance in Côte d'Ivoire.

Alexey Clara1, Serigne M Ndiaye1, Benie Joseph1

  • 1Alexey Clara, MD, Karen A. Alroy, DVM, and Djebo C. Gourmanon, MD, are Epidemiologists, and S. Arunmozhi Balajee, PhD, is Associate Director of Global Health Security; all in the Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, GA. Serigne M. Ndiaye, PhD, is Program Director; Mamadou Diarrassouba, MD, is Emergency Management Lead; and Ramatou Toure-Adechoubou, PharmD, is a Public Health Specialist for Laboratory; all in the Division of Global Health Protection, Country Office Côte d'Ivoire, Center for Global Health, Centers for Disease Control and Prevention (CDC), Abidjan, Côte d'Ivoire. Benie Joseph is a Professor and Director of Public Health, and Daouda Coulibaly, MD, MPH, is Deputy Director, Epidemiology Hygiene Research; both at the National Institute of Public Hygiene, Abidjan, Côte d'Ivoire. Maurice A. Nzogu holds a master's degree in humanitarian aid and international cooperation and is the Deputy Health Coordinator; Koffi Ange Houngbedji, MD, MPH, is Health Coordinator; and Henry Banny Attiey has a master's degree in monitoring evaluation and is Monitoring Evaluation Health Coordinator Health Sector; all at the International Rescue Committee, Abidjan, Côte d'Ivoire. Dr. Clara and Dr. Ndiaye contributed equally to this article. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Health Security
|February 1, 2020
PubMed
Summary

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Community health workers enhanced disease detection in Côte d'Ivoire. The community-based surveillance system improved reporting for measles and yellow fever but had high false-positive rates, prompting revisions.

Area of Science:

  • Public Health
  • Epidemiology
  • Global Health

Background:

  • Community-based surveillance is crucial for early warning systems.
  • Côte d'Ivoire initiated a community surveillance project in 2016 in districts bordering Guinea.

Purpose of the Study:

  • To analyze the impact of community-based surveillance on disease detection and reporting.
  • To evaluate the effectiveness of a text-messaging platform for health event reporting.

Main Methods:

  • Analysis of surveillance data from before and after project implementation.
  • Comparison of intervention districts with control districts.
  • Trained community health workers in disease detection and reporting via text messages.

Main Results:

Keywords:
Community-based surveillanceCôte d'IvoireGlobal health security

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  • Significant increases in reporting for suspected measles (5-fold) and yellow fever (8-fold) clusters.
  • Higher incidence rates for suspected measles, yellow fever, and acute flaccid paralysis in intervention districts.
  • High sensitivity led to numerous false-positive signals, necessitating refinement of definitions.

Conclusions:

  • Community-based surveillance enhanced the capacity for detecting and reporting priority diseases.
  • The system's high sensitivity requires adjustments to improve specificity.
  • Future steps include revising signal definitions, training, and standardizing roles for sustainability.