Influenza surveillance systems using traditional and alternative sources of data: A scoping review
- PMID: 36073312
- PMCID: PMC9530542
- DOI: 10.1111/irv.13037
Influenza surveillance systems using traditional and alternative sources of data: A scoping review
Abstract
Objective: While the World Health Organization's recommendation of syndromic sentinel surveillance for influenza is an efficient method to collect high-quality data, limitations exist. Aligned with the Research Recommendation 1.1.2 of the WHO Public Health Research Agenda for Influenza-to identify reliable complementary influenza surveillance systems which provide real-time estimates of influenza activity-we performed a scoping review to map the extent and nature of published literature on the use of non-traditional sources of syndromic surveillance data for influenza.
Methods: We searched three electronic databases (PubMed, Web of Science, and Scopus) for articles in English, French, and Spanish, published between January 1 2007 and January 28 2022. Studies were included if they directly compared at least one non-traditional with a traditional influenza surveillance system in terms of correlation in activity or timeliness.
Findings: We retrieved 823 articles of which 57 were included for analysis. Fifteen articles considered electronic health records (EHR), 11 participatory surveillance, 10 online searches and webpage traffic, seven Twitter, five absenteeism, four telephone health lines, three medication sales, two media reporting, and five looked at other miscellaneous sources of data. Several articles considered more than one non-traditional surveillance method.
Conclusion: We identified eight categories and a miscellaneous group of non-traditional influenza surveillance systems with varying levels of evidence on timeliness and correlation to traditional surveillance systems. Analyses of EHR and participatory surveillance systems appeared to have the most agreement on timeliness and correlation to traditional systems. Studies suggested non-traditional surveillance systems as complements rather than replacements to traditional systems.
Keywords: correlation; influenza; scoping review; surveillance; syndromic; timeliness.
© 2022 The World Health Organization; licensed by John Wiley & Sons Ltd. Influenza and Other Respiratory Viruses published by John Wiley & Sons Ltd.
Conflict of interest statement
JK is currently an employee of Merck Canada Inc where they receive a salary and own stocks in the following pharmaceutical companies: Pfizer Inc and Eli Lilly. All authors confirm that they did not have any conflicts of interest at the time of their contribution to this work.
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References
-
- Influenza (Seasonal). World Health Organization. https://www.who.int/news-room/fact-sheets/detail/influenza-(seasonal). Published November 6, 2018. Accessed September 3, 2019.
-
- Global influenza surveillance and response system (GISRS). World Health Organization. https://www.who.int/initiatives/global-influenza-surveillance-and-respon.... Accessed August 8, 2022.
-
- Ten threats to global health in 2019. World Health Organization. https://www.who.int/news-room/spotlight/ten-threats-to-global-health-in-.... Accessed August 8, 2022.
-
- Global epidemiological surveillance standards for influenza. World Health Organization. https://www.who.int/publications/i/item/9789241506601. Published 2013. Accessed August 8, 2022.
-
- Sentinel surveillance. World Health Organization. https://www.who.int/immunization/monitoring_surveillance/burden/vpd/surv.... Accessed June 24, 2019.
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