ABSTRACT

Novel Methods in the Surveillance of Influenza-Like Illness in Germany Using Data from a Symptom Assessment App (Ada): Observational Case Study   [open pdf - 528KB]

From the Introduction: "Influenza is a disease that causes considerable morbidity and mortality each year and has been the subject of research investigating the application of novel surveillance tools, including the potential use of data from web-based sources. In many European countries, data on the syndromic surveillance of 'influenza-like illness' (ILI) are collected via internet-based reporting tools run by national public health institutes. In Germany, one such tool ('GrippeWeb') collects data from voluntary participants, who are prompted to report, on a weekly basis, whether they have experienced any symptoms of an acute respiratory infection. Such a tool is complementary to physician- and laboratory-based surveillance and helps to capture data from a population who have not or may not come into contact with the health care system, thus potentially providing a fuller picture of disease incidence within the population. Such population-based reporting tools might confer particular benefits during an epidemic or pandemic, if patterns of health care-seeking behavior change because of individuals' reluctance or inability to visit doctors or clinics."

Author:
Publisher:
Date:
2021-04-11
Series:
Copyright:
2021 Caoimhe Cawley, François Bergey, Alicia Mehl, Ashlee Finckh, Andreas Gilsdorf. Posted here with permission. Document is under a Creative Commons license and requires proper attribution and noncommercial use to be shared: [https://creativecommons.org/licenses/by/4.0/].
Retrieved From:
JMIR Publications: https://jmirpublications.com/
Format:
pdf
Media Type:
application/pdf
Source:
JMIR Publications (April 11, 2021), v. 7, issue 11
URL:
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