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Summary

The Sierra Leone Ebola Database consolidated fragmented epidemic data, creating a vital resource for understanding outbreak response and aiding families. This effort ensures valuable public health research can continue post-epidemic.

Keywords:
Data accessData ownershipData sharingEbola virus diseaseEthicsPrivacySLEDSierra Leone Ebola database

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Area of Science:

  • Public Health
  • Epidemiology
  • Data Management

Background:

  • The 2014-2016 Ebola epidemic in Sierra Leone generated vast amounts of data across various response organizations.
  • Information was initially stored in disparate systems, including hotline logs, patient surveillance data, lab results, clinical records, and burial logs.

Purpose of the Study:

  • To describe the process of consolidating fragmented Ebola epidemic data into a centralized database.
  • To highlight the creation of the Sierra Leone Ebola Database as a resource for post-epidemic analysis and research.
  • To detail the methods used to safeguard sensitive health records while enabling public health research.

Main Methods:

  • Collaboration between the Sierra Leone Ministry of Health and Sanitation and the U.S. Centers for Disease Control and Prevention.
  • Consolidation of data from multiple, separate sources into the unified Sierra Leone Ebola Database.
  • Implementation of processes to ensure data security and privacy.

Main Results:

  • The Sierra Leone Ebola Database now serves as a comprehensive repository of epidemic-related information.
  • The database facilitates post-epidemic data analysis and epidemiologic research.
  • Data is utilized for identifying effective outbreak response strategies and assisting families in locating graves.

Conclusions:

  • The establishment of the Sierra Leone Ebola Database provides a lasting resource for public health.
  • Safeguarding data while ensuring its availability for research is crucial for future epidemic preparedness.
  • This initiative demonstrates a successful model for managing and leveraging critical health data from major outbreaks.