Identifying potential emerging threats through epidemic intelligence activities—looking for the needle in the haystack?

Jennifer Wilburn*, Catherine O'Connor, Amanda L. Walsh, Dilys Morgan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Background: Epidemic intelligence (EI) for emerging infections is the process of identifying key information on emerging infectious diseases and specific incidents. Automated web-based infectious disease surveillance technologies are available; however, human input is still needed to review, validate, and interpret these sources. In this study, entries captured by Public Health England's (PHE) manual event-based EI system were examined to inform future intelligence gathering activities. Methods: A descriptive analysis of unique events captured in a database between 2013 and 2017 was conducted. The top five diseases in terms of the number of entries were described in depth to determine the effectiveness of PHE's EI surveillance system compared to other sources. Results: Between 2013 and 2017, a total of 22 847 unique entries were added to the database. The top three initial and definitive information sources varied considerably by disease. Ebola entries dominated the database, making up 23.7% of the total, followed by Zika (11.8%), Middle East respiratory syndrome (6.7%), cholera (5.5%), and yellow fever and undiagnosed morbidity (both 3.3%). Initial reports of major outbreaks due to the top five disease agents were picked up through the manual system prior to being publicly reported by official sources. Conclusions: PHE's manual EI process quickly and accurately detected global public health threats at the earliest stages and allowed for monitoring of events as they evolved.

Original languageEnglish
Pages (from-to)146-153
Number of pages8
JournalInternational Journal of Infectious Diseases
Volume89
DOIs
Publication statusPublished - Dec 2019

Bibliographical note

Funding Information:
This study was supported by Public Health England .

Funding Information:
The authors alone are responsible for the views expressed in this publication and they do not necessarily represent the decisions or policies of Public Health England. This work was supported by Public Health England. All authors are employed by Public Health England. The corresponding author had full access to all of the data in the study and had final responsibility for the decision to submit for publication.

Keywords

  • Disease surveillance
  • Early detection
  • Epidemic intelligence
  • Epidemiology
  • Surveillance systems

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