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Accurate estimation of influenza epidemics using Google search data via ARGO

Proceedings of the National Academy of Sciences - PNAS, 2015-11, Vol.112 (47), p.14473-14478

2015

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Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches

Nature communications, 2019-01, Vol.10 (1), p.147-147, Article 147

2019

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Effect of non-pharmaceutical interventions to contain COVID-19 in China

Nature (London), 2020-09, Vol.585 (7825), p.410-413

2020

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Socioeconomic status determines COVID-19 incidence and related mortality in Santiago, Chile

Science (American Association for the Advancement of Science), 2021-05, Vol.372 (6545)

2021

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What Can Digital Disease Detection Learn from (an External Revision to) Google Flu Trends?

American journal of preventive medicine, 2014-09, Vol.47 (3), p.341-347

2014

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Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance

PLoS computational biology, 2015-10, Vol.11 (10), p.e1004513-e1004513

2015

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Forecasting Zika Incidence in the 2016 Latin America Outbreak Combining Traditional Disease Surveillance with Search, Social Media, and News Report Data

PLoS neglected tropical diseases, 2017-01, Vol.11 (1), p.e0005295-e0005295

2017

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Flu Near You: Crowdsourced Symptom Reporting Spanning 2 Influenza Seasons

American journal of public health (1971), 2015-10, Vol.105 (10), p.2124-2130

2015

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Incorporating human mobility data improves forecasts of Dengue fever in Thailand

Scientific reports, 2021-01, Vol.11 (1), p.923-12, Article 923

2021

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Advances in using Internet searches to track dengue

PLoS computational biology, 2017-07, Vol.13 (7), p.e1005607-e1005607

2017

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COVID-19: US federal accountability for entry, spread, and inequities—lessons for the future

European journal of epidemiology, 2020-11, Vol.35 (11), p.995-1006

2020

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Evaluating the performance of infectious disease forecasts: A comparison of climate-driven and seasonal dengue forecasts for Mexico

Scientific reports, 2016-09, Vol.6 (1), p.33707-33707, Article 33707

2016

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Pediatric and Young Adult Household Transmission of the Initial Waves of SARS-CoV-2 in the United States: Administrative Claims Study

Journal of medical Internet research, 2024-01, Vol.26 (16), p.e44249-e44249

2024

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Using electronic health records and Internet search information for accurate influenza forecasting

BMC infectious diseases, 2017-05, Vol.17 (1), p.332-332, Article 332

2017

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The role of race, religion, and partisanship in misperceptions about COVID-19

Group processes & intergroup relations, 2021-06, Vol.24 (4), p.638-657

2021

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Evaluation of Internet-based dengue query data: Google Dengue Trends

PLoS neglected tropical diseases, 2014-02, Vol.8 (2), p.e2713-e2713

2014

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Fitbit-informed influenza forecasts

The Lancet. Digital health, 2020-02, Vol.2 (2), p.e54-e55

2020

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Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach

PloS one, 2021-05, Vol.16 (5), p.e0250890-e0250890

2021

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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, 2021-06, Vol.17 (6), p.e1008994-e1008994

2021

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Predicting dengue incidence leveraging internet-based data sources. A case study in 20 cities in Brazil

PLoS neglected tropical diseases, 2022-01, Vol.16 (1), p.e0010071-e0010071

2022

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Machine learning approaches to predicting no-shows in pediatric medical appointment

NPJ digital medicine, 2022-04, Vol.5 (1), p.50-50, Article 50

2022

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Association of Acute Symptoms of COVID-19 and Symptoms of Depression in Adults

JAMA network open, 2021-03, Vol.4 (3), p.e213223-e213223

2021

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Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of America

BMC infectious diseases, 2018-08, Vol.18 (1), p.403-403, Article 403

2018

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Real-time estimation of disease activity in emerging outbreaks using internet search information

PLoS computational biology, 2020-08, Vol.16 (8), p.e1008117-e1008117

2020

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Toward the use of neural networks for influenza prediction at multiple spatial resolutions

Science advances, 2021-06, Vol.7 (25)

2021

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Accurate estimation of influenza epidemics using Google search data via ARGO

Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches

Effect of non-pharmaceutical interventions to contain COVID-19 in China

Socioeconomic status determines COVID-19 incidence and related mortality in Santiago, Chile

What Can Digital Disease Detection Learn from (an External Revision to) Google Flu Trends?

Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance

Forecasting Zika Incidence in the 2016 Latin America Outbreak Combining Traditional Disease Surveillance with Search, Social Media, and News Report Data

Flu Near You: Crowdsourced Symptom Reporting Spanning 2 Influenza Seasons

Incorporating human mobility data improves forecasts of Dengue fever in Thailand

Advances in using Internet searches to track dengue

COVID-19: US federal accountability for entry, spread, and inequities—lessons for the future

Evaluating the performance of infectious disease forecasts: A comparison of climate-driven and seasonal dengue forecasts for Mexico

Pediatric and Young Adult Household Transmission of the Initial Waves of SARS-CoV-2 in the United States: Administrative Claims Study

Using electronic health records and Internet search information for accurate influenza forecasting

The role of race, religion, and partisanship in misperceptions about COVID-19

Evaluation of Internet-based dengue query data: Google Dengue Trends

Fitbit-informed influenza forecasts

Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach

Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches

Predicting dengue incidence leveraging internet-based data sources. A case study in 20 cities in Brazil

Machine learning approaches to predicting no-shows in pediatric medical appointment

Association of Acute Symptoms of COVID-19 and Symptoms of Depression in Adults

Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of America

Real-time estimation of disease activity in emerging outbreaks using internet search information

Toward the use of neural networks for influenza prediction at multiple spatial resolutions

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