ArticlePLoS computational biology2017
Advances in using Internet searches to track dengue.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.
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Who cites it
45 citing papers in PubMed, 1 synthesis or guideline pooled it, 108 citations in OpenAlex.
- Data-driven methods for dengue prediction and surveillance using real-world and Big Data: A systematic review.PLoS neglected tropical diseases · 2022Pooled it
- Horizons of the Future: Preparedness and Response.Current topics in microbiology and immunology · 2026Review
- Ensemble approaches for short-term dengue fever forecasts: A global evaluation study.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Dengue nowcasting in Brazil by combining official surveillance data and Google Trends information.PLoS neglected tropical diseases · 2025Article
- Trending ticks: using Google Trends data to understand tickborne disease prevention.Frontiers in public health · 2024Article
- Incorporating connectivity among Internet search data for enhanced influenza-like illness tracking.PloS one · 2024Article
- Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States.Science advances · 2023Article
- The association between dengue case and climate: A systematic review and meta-analysis.One health (Amsterdam, Netherlands) · 2022Review
- Forecasting Weekly Dengue Cases by Integrating Google Earth Engine-Based Risk Predictor Generation and Google Colab-Based Deep Learning Modeling in Fortaleza and the Federal District, Brazil.International journal of environmental research and public health · 2022Article
- COVID-19 forecasts using Internet search information in the United States.Scientific reports · 2022Article
- COVID-19 hospitalizations forecasts using internet search data.Scientific reports · 2022Article
- Faster indicators of chikungunya incidence using Google searches.PLoS neglected tropical diseases · 2022Article
- YouTube as a source of information for water treatments.International journal of biometeorology · 2022Article
- Predicting dengue incidence leveraging internet-based data sources. A case study in 20 cities in Brazil.PLoS neglected tropical diseases · 2022Article
- The Federal Menu Labeling Law and Twitter Discussions about Calories in the United States: An Interrupted Time-Series Analysis.International journal of environmental research and public health · 2021Article
- Analysis of a Vaping-Associated Lung Injury Outbreak through Participatory Surveillance and Archival Internet Data.International journal of environmental research and public health · 2021Article
- Public interest in spa therapy during the COVID-19 pandemic: analysis of Google Trends data among Turkey.International journal of biometeorology · 2021Article
- Toward the use of neural networks for influenza prediction at multiple spatial resolutions.Science advances · 2021Article
- Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches.PLoS computational biology · 2021Article
- Population-level interest in anti-rheumatic drugs in the COVID-19 era: insights from Google Trends.Clinical rheumatology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dengue is a mosquito-borne disease that threatens over half of the world's population. Despite being endemic to more than 100 countries, government-led efforts and tools for timely identification and tracking of new infections are still lacking in many affected areas. Multiple methodologies that leverage the use of Internet-based data sources have been proposed as a way to complement dengue surveillance efforts. Among these, dengue-related Google search trends have been shown to correlate with dengue activity. We extend a methodological framework, initially proposed and validated for flu surveillance, to produce near real-time estimates of dengue cases in five countries/states: Mexico, Brazil, Thailand, Singapore and Taiwan. Our result shows that our modeling framework can be used to improve the tracking of dengue activity in multiple locations around the world.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.