ArticleAtencion primaria2012
[Syndromic surveillance of Influenza-like illness in primary care: a complement to the sentinel surveillance network for periods of increased incidence of Influenza].
Article in Atencion primaria, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Early Detection of the Start of the Influenza Epidemic Using Surveillance Systems in Catalonia (PREVIGrip Study).International journal of environmental research and public health · 2022Article
- Concordance between the Clinical Diagnosis of Influenza in Primary Care and Epidemiological Surveillance Systems (PREVIGrip Study).International journal of environmental research and public health · 2022Article
- Article
- The reliability of tweets as a supplementary method of seasonal influenza surveillance.Journal of medical Internet research · 2014Article
- The complex relationship of realspace events and messages in cyberspace: case study of influenza and pertussis using tweets.Journal of medical Internet research · 2013Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveEpidemiological data on influenza is essential for resource management when the incidence of the disease in the population is very high, but not easily available in real-time. The objective of this study was to evaluate the use of a syndromic surveillance system for influenza-like illness in Primary Care (ILIsPC) and assess its level of agreement with the epidemiological data from the Influenza Sentinel Network. LOCALIZATION: Health centres and deputising medical services in the Balearic Islands.
participantsData from 122 epidemiological weeks for each system were included. MAIN MEASURES: Data from January 1, 2007 to January 31, 2010 were compared. ILIsPC rates were obtained from the diagnoses registered in electronic health records of Primary Care clinics and deputising medical services. Data from Sentinel Network were obtained from weekly epidemiological reports. Intraclass correlation coefficient was calculated and Bland - Altman plot constructed.
resultsThere was good agreement between both measures, with an intraclass correlation coefficient of 0.88 (95% CI: 0.83-0.91). After constructing a Bland-Altman plot, the precision between both rates was greater during the periods of the highest influenza incidence.
conclusionsWe believe that the syndromic surveillance system ILIsPC, provides access to very useful data in real-time, especially during periods of high influenza incidence, such as during epidemics or the recent pandemic.
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