Research graph
References from Learning from pandemics: Feature selection and clustering for robust digital disease nowcasting. Local targets link to admitted publications; unresolved targets remain external evidence.
Big data opportunities for global infectious disease surveillance
2013 · External reference
Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing
10.1126/science.abb6936 · 2020 · External reference
Digital epidemiology
10.1371/journal.pcbi.1002616 · 2012 · External reference
Advancing real-time infectious disease forecasting using large language models
10.1038/s43588-025-00798-6 · 2025 · External reference
Unresolved reference
External reference
Evaluation of Internet-based dengue query data: Google Dengue Trends
10.1371/journal.pntd.0002713 · 2014 · External reference
Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance
2011 · External reference
Prediction of dengue incidence using search query surveillance
10.1371/journal.pntd.0001258 · 2011 · External reference
Correlation between Google Trends on dengue fever and national surveillance report in Indonesia
10.1080/16549716.2018.1552652 · 2019 · External reference
Avian Influenza A (H7N9) and related Internet search query data in China
10.1038/s41598-019-46898-y · 2019 · External reference
Dynamic Forecasting of Zika Epidemics Using Google Trends
10.1371/journal.pone.0165085 · 2017 · External reference
Unresolved reference
External reference
Detecting influenza epidemics using search engine query data
10.1038/nature07634 · 2009 · External reference
Early and Real-Time Detection of Seasonal Influenza Onset
2017 · External reference
A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data
10.1371/journal.pone.0256858 · 2021 · External reference
Real-Time Detection of Flu Season Onset: A Novel Approach to Flu Surveillance
10.3390/ijerph19063681 · 2022 · External reference
Neural network models for influenza forecasting with associated uncertainty using Web search activity trends
10.1371/journal.pcbi.1011392 · 2023 · External reference
Incorporating connectivity among Internet search data for enhanced influenza-like illness tracking
10.1371/journal.pone.0305579 · 2024 · External reference
10.1109/icaaic64647.2025.11330303
10.1109/icaaic64647.2025.11330303 · External reference
Big data. The parable of Google Flu: traps in big data analysis
10.1126/science.1248506 · 2014 · External reference
Mass Media and the Contagion of Fear: The Case of Ebola in America
10.1371/journal.pone.0129179 · 2015 · External reference
Reassessing Google Flu Trends data for detection of seasonal and pandemic influenza: a comparative epidemiological study at three geographic scales
10.1371/journal.pcbi.1003256 · 2013 · External reference
The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic
10.1371/journal.pcbi.1007633 · 2020 · External reference
Accurate estimation of influenza epidemics using Google search data via ARGO
10.1073/pnas.1515373112 · 2015 · External reference
Origins of the 2009 H1N1 influenza pandemic in swine in Mexico
10.7554/elife.16777 · 2016 · External reference
Surveillance for influenza during the 2009 influenza A (H1N1) pandemic–United States, April 2009–March 2010
2011 · External reference
Initial surveillance of 2009 influenza A(H1N1) pandemic in the European Union and European Economic Area, April-September 2009
10.2807/ese.15.49.19740-en · 2010 · External reference
Seasonality in risk of pandemic influenza emergence
2017 · External reference
Unresolved reference
2010 · External reference
Estimated global mortality associated with the first 12 months of 2009 pandemic influenza A H1N1 virus circulation: a modelling study
10.1016/s1473-3099(12)70121-4 · 2012 · External reference
Unresolved reference
2025 · External reference
Detection of influenza A (H1N1) v virus by real-time RT-PCR
10.2807/ese.14.36.19329-en · 2009 · External reference
10.1016/j.prp.2021.153443
10.1016/j.prp.2021.153443 · External reference
Coronavirus Variant Emergence and Epidemiology
10.1007/978-3-031-62772-9_9 · 2024 · External reference
Antigenic characterization of influenza and SARS-CoV-2 viruses
10.1007/s00216-021-03806-6 · 2022 · External reference
Unresolved reference
2009 · External reference
How manufacturing won or lost the COVID-19 vaccine race
10.1016/j.vaccine.2023.12.031 · 2024 · External reference
Comparative epidemiology between the 2009 H1N1 influenza and COVID-19 pandemics
10.1016/j.jiph.2020.09.023 · 2020 · External reference
A systematic review of fear, stigma, and mental health outcomes of pandemics
10.1080/09638237.2022.2091754 · 2023 · External reference
Comparison between Covid-19 and influenza A(H1N1) pandemic experiences and risk perception in Mexican university
10.21149/12367 · 2021 · External reference
An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time
10.1126/sciadv.abd6989 · 2021 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study
10.2196/18828 · 2020 · External reference
Internet search patterns reveal clinical course of COVID-19 disease progression and pandemic spread across 32 countries
10.1038/s41746-021-00396-6 · 2021 · External reference
Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis
10.1016/j.ijid.2020.04.033 · 2020 · External reference
Understanding Health Information Seeking: A Test of the Risk Perception Attitude Framework
10.1080/10810730.2015.1018634 · 2015 · External reference
Public use of a generalist LLM chatbot for health queries
10.1038/s44360-026-00117-x · 2026 · External reference
Health information-seeking behaviors, health indicators, and health risks
10.2105/ajph.2009.180521 · 2010 · External reference
Association of searching for health-related information online with self-rated health in the European Union
10.1093/eurpub/ckw022 · 2016 · External reference
Explaining Online Information Seeking Behaviors in People With Different Health Statuses: German Representative Cross-sectional Survey
10.2196/25963 · 2021 · External reference
Online Information Seeking and Disease Prevention Intent During COVID-19 Outbreak
10.1177/1077699020961518 · 2020 · External reference
Mathematical Methods in Feature Selection: A Review
10.3390/math13060996 · 2025 · External reference
Recent advances in feature selection and its applications
10.1007/s10115-017-1059-8 · 2017 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Vanderbilt TV News Abstracts. Harvard Dataverse;
2020 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
10.15585/mmwr.mm7224a2
10.15585/mmwr.mm7224a2 · External reference
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
10.1111/j.2517-6161.1995.tb02031.x · 1995 · External reference
10.1201/9781315139470
10.1201/9781315139470 · External reference
Predicting into unknown space? Estimating the area of applicability of spatial prediction models
10.1111/2041-210x.13650 · 2021 · External reference
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables
10.7717/peerj.5518 · 2018 · External reference
Seasonal trends in COVID-19 cases, hospitalizations, and mortality in the United States and Europe
10.1038/s41598-023-31057-1 · 2023 · External reference
Influence of Seasonality and Public-Health Interventions on the COVID-19 Pandemic in Northern Europe
10.3390/jcm13020334 · 2024 · External reference
Machine Learning for Health Services Researchers
10.1016/j.jval.2019.02.012 · 2019 · External reference
Points of significance: model selection and overfitting
10.1038/nmeth.3968 · 2016 · External reference
Forecasting dengue cases through time-series modeling with Google Trends and deep neural networks
10.1016/j.chaos.2025.117290 · 2025 · External reference
Epidemiological methods in transition: Minimizing biases in classical and digital approaches
10.1371/journal.pdig.0000670 · 2025 · External reference
Machine learning in epidemiology: An introduction, comparison with traditional methods, and a case study of predicting extreme longevity
10.1016/j.annepidem.2025.07.024 · 2025 · External reference
