ArticleJournal of preventive medicine and hygiene2021
Infodemiology of flu: Google trends-based analysis of Italians' digital behavior and a focus on SARS-CoV-2, Italy.
Article in Journal of preventive medicine and hygiene, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Toward Drift-Aware Multimodal Early Warning for Acute Exacerbations of Chronic Obstructive Pulmonary Disease.JMIR medical informatics · 2026Article
- Infodemiology and Infoveillance of the Four Most Widespread Arbovirus Diseases in Italy.Epidemiologia (Basel, Switzerland) · 2024Article
- Infodemiology and infoveillance: framework for contagious exanthematous diseases, of childhood in Italy.Pathogens and global health · 2024Article
- Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review.JMIR public health and surveillance · 2024Article
- Digital epidemiology and infodemiology of hand-foot-mouth disease (HFMD) in Italy. Disease trend assessment via Google and Wikipedia.Acta bio-medica : Atenei Parmensis · 2023Article
- Using Google Trends and Wikipedia to Investigate the Global Public's Interest in the Pancreatic Cancer Diagnosis of a Celebrity.International journal of environmental research and public health · 2023Article
- Infodemiology of RSV in Italy (2017-2022): An Alternative Option for the Surveillance of Incident Cases in Pediatric Age?Children (Basel, Switzerland) · 2022Article
- COVID-19 and thyroid disease: An infodemiological pilot study.World journal of methodology · 2022Article
- Spatiotemporal evolution of online attention to vaccines since 2011: An empirical study in China.Frontiers in public health · 2022Article
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3 authors.
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Abstract
introductionThe aim of the current study was to assess if the frequency of internet searches for influenza are aligned with Italian National Institute of Health (ISS) cases and deaths. Also, we evaluate the distribution over time and the correlation between search volume of flu and flu symptoms with reported new cases of SARS-CoV-2. MATERIALS AND
methodsThe reported cases and deaths of flu and the reported cases of SARS-CoV-2 were selected from the reports of ISS, the data have been aggregated by week. The search volume provided by Google Trends (GT) has a relative nature and is calculated as a percentage of query related to a specific term in connection with a determined place and time-frame.
resultsThe strongest correlation between GT search and influenza cases was found at a lag of +1 week particularly for the period 2015-2019. A strong correlation was also found at a lag of +1 week between influenza death and GT search. About the correlation between GT search and SARS-CoV-2 new cases the strongest correlation was found at a lag of +3 weeks for the term flu.
conclusionIn the last years research in health care has used GT data to explore public interest in various fields of medicine. Caution should be used when interpreting the findings of digital surveillance.
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