ArticleEinstein (Sao Paulo, Brazil)2021
Google Trends correlation and sensitivity for outbreaks of dengue and yellow fever in the state of São Paulo.
Article in Einstein (Sao Paulo, Brazil), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Horizons of the Future: Preparedness and Response.Current topics in microbiology and immunology · 2026Review
- Dengue nowcasting in Brazil by combining official surveillance data and Google Trends information.PLoS neglected tropical diseases · 2025Article
- Use of Digital Tools in Arbovirus Surveillance: Scoping Review.Journal of medical Internet research · 2024Article
- Trending ticks: using Google Trends data to understand tickborne disease prevention.Frontiers in public health · 2024Article
- Pandemic and precocious puberty - a Google trends study.World journal of methodology · 2023Article
- What does Google Trends reveal about the proportion of waterpipe users in the Brazilian population?Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2023Article
- COVID-19 and thyroid disease: An infodemiological pilot study.World journal of methodology · 2022Article
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2 authors.
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Abstract
objectiveTo assess Google Trends accuracy for epidemiological surveillance of dengue and yellow fever, and to compare the incidence of these diseases with the popularity of its terms in the state of São Paulo.
methodsRetrospective cohort. Google Trends survey results were compared to the actual incidence of diseases, obtained from Centro de Vigilância Epidemiológica "Prof. Alexandre Vranjac", in São Paulo, Brazil, in periods between 2017 and 2019. The correlation was calculated by Pearson's coefficient and cross-correlation function. The accuracy was analyzed by sensitivity and specificity values.
resultsThere was a statistically significant correlation between the variables studied for both diseases, Pearson coefficient of 0.91 for dengue and 0.86 for yellow fever. Correlation with up to 4 weeks of anticipation for time series was identified. Sensitivity was 87% and 90%, and specificity 69% and 78% for dengue and yellow fever, respectively.
conclusionThe incidence of dengue and yellow fever in the State of São Paulo showed a strong correlation with the popularity of its terms measured by Google Trends in weekly periods. Google Trends tool provided early warning, with high sensitivity, for the detection of outbreaks of these diseases.
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