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Event-based surveillance at health facility and community level in low-income and middle-income countries: a systematic review
  1. Anna Kuehne1,2,3,
  2. Patrick Keating1,3,
  3. Jonathan Polonsky4,5,
  4. Christopher Haskew4,
  5. Karl Schenkel4,
  6. Olivier Le Polain de Waroux1,2,3,
  7. Ruwan Ratnayake3
  1. 1UK Public Health Rapid Support Team, London, United Kingdom
  2. 2Public Health England, London, United Kingdom
  3. 3Department of Infectious Disease Epidemiogy, London School of Hygiene and Tropical Medicine, London, United Kingdom
  4. 4Department of Health Emergency Information and Risk Assessment, World Health Organization, Geneva, Switzerland
  5. 5Faculty of Medicine, University of Geneva, Geneva, Switzerland
  1. Correspondence to Dr Anna Kuehne; anna.kuehne{at}lshtm.ac.uk

Abstract

Background The International Health Regulations require member states to establish “capacity to detect, assess, notify and report events”. Event-based surveillance (EBS) can contribute to rapid detection of acute public health events. This is particularly relevant in low-income and middle-income countries (LMICs) which may have poor public health infrastructure. To identify best practices, we reviewed the literature on the implementation of EBS in LMICs to describe EBS structures and to evaluate EBS systems.

Methods We conducted a systematic literature search of six databases to identify articles that evaluated EBS in LMICs and additionally searched for grey literature. We used a framework approach to facilitate qualitative data synthesis and exploration of patterns across and within articles.

Results We identified 778 records, of which we included 15 studies concerning 13 different EBS systems. The 13 EBS systems were set up as community-based surveillance, health facility-based surveillance or open surveillance (ie, notification by non-defined individuals and institutions). Four systems were set up in outbreak settings and nine outside outbreaks. All EBS systems were integrated into existing routine surveillance systems and pre-existing response structures to some extent. EBS was described as useful in detecting a large scope of events, reaching remote areas and guiding outbreak response.

Conclusion Health facility and community-based EBS provide valuable information that can strengthen the early warning function of national surveillance systems. Integration into existing early warning and response systems was described as key to generate data for action and to facilitate rapid verification and response. Priority in its implementation should be given to settings that would particularly benefit from EBS strengths. This includes areas most prone to outbreaks and where traditional ‘routine’ surveillance is suboptimal.

  • systematic review
  • epidemiology
  • public health
  • infections, diseases, disorders, injuries

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Footnotes

  • Handling editor Seye Abimbola

  • Contributors AK designed the study and developed the search strategy. PK, JP, CH, OLPdW and RR provided feedback on search strategy and study design. AK conducted the systematic literature search. AK, PK, OLPdW, RR and JP reached out to partners for grey literature. AK and PK conducted the review of literature, abstracts and full texts. AK conducted data extraction and quality assessment, performed the content analysis, wrote the manuscript, and prepared all tables and figures. PK contributed to data extraction and quality assessment. RR provided input to the surveillance system evaluation and content and structure of the manuscript. PK, JP, CH, KS, OLPdW and RR reviewed and approved the final manuscript. RR conducted the proofreading of the final manuscript.

  • Funding The UK Public Health Rapid Support Team is funded by the National Institute for Health Research and Department of Health and Social Care.

  • Disclaimer The views expressed are those of the authors and not necessarily those of the NIHR or DHSC. The authors alone are responsible for the views expressed in this article and they do not necessarily represent the views, decisions or policies of the institutions with which they are affiliated.

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement There are no data in this work. All data relevant to the study are included in the article or uploaded as online supplementary information.