Mauricio Santillana

Professor

Northeastern University

United States

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Articles (10)

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (12)

Jessica Davis

Northeastern University

UNITED STATES

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Kris Varun Parag

University of Bristol

UNITED KINGDOM

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Nancy Krieger

Harvard University

UNITED STATES

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Alessandro Vespignani

Distinguished University Professor

Northeastern University

UNITED STATES

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Xiyu Ding

Johns Hopkins University

UNITED STATES

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Katherine Ognyanova

Associate Professor

Rutgers University

UNITED STATES

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Lucas Stolerman

Oklahoma State University

UNITED STATES

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Bernd Resch

Associate Professor

Paris Lodron University of Salzburg

AUSTRIA

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Matteo Chinazzi

Northeastern University

UNITED STATES

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David Lazer

Northeastern University

UNITED STATES

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Pamela Martinez

University of Illinois System

UNITED STATES

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Audrey Lavenu

Université de Rennes 1

FRANCE

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Mauricio Santillana

Research Interests

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Articles (10)

Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States

Predicting favorable response to intravenous morphine in pediatric critically ill cardiac patients

Using General Messages to Persuade on a Politicized Scientific Issue

Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study

The evolving roles of US political partisanship and social vulnerability in the COVID-19 pandemic from February 2020–February 2021

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

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

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

Correction: Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models

Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models

Collaborators (12)

Jessica Davis

Kris Varun Parag

Nancy Krieger

Alessandro Vespignani

Xiyu Ding

Katherine Ognyanova

Lucas Stolerman

Bernd Resch

Matteo Chinazzi

David Lazer

Pamela Martinez

Audrey Lavenu

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