#covid19 #Mobile phone data #epidemics

Quantifying the importance and location of SARS-CoV-2 transmission events in large metropolitan areas

Authors: Alberto Aleta, David Martín-Corral, Michiel A.Bakker, Ana Pastore y Piontti, Marco Ajelli, Maria Litvinova , Matteo Chinazzi, Natalie E. Dean, M. Elizabeth Halloran,Ira M. Longini,Jr, Alex Pentland, Alessandro Vespignani, Yamir Moreno, and Esteban Moro. Publication: PNAS (2022). Link Abstract: Detailed characterization of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission across different settings can help design less disruptive interventions. We used real-time, privacy-enhanced mobility data in the New York City, NY and Seattle, WA metropolitan areas to build a detailed agent-based model of SARS-CoV-2infection to estimate the where, when, and magnitude of transmission events during thepandemic’s first wave. ...

#wordle #Rforeverythingelse

Wordle is getting (slightly) harder

Marty, I’ve been to the future and I have bad news. Wordle is getting harder. Not much, but harder. With millions of people playing the game Wordle online and the recent takeover by the New York times, some speculation about whether the game is getting harder is unavoidable. Since Wordle chooses a different word every day, some players have started to complain recent target words are harder to be guessed: It must be a coincidence, but the NY Times puzzles are hard and suddenly Wordle has questionable words ...

#Mobile Phone Data #Privacy #Deep Learning

Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy

Authors: Alex Berke, Ronan Doorley, Kent Larson, Esteban Moro Publication: arXiv preprint arXiv:2201.01139 (2022). Link Abstract: Location data collected from mobile devices represent mobility behaviors at individual and societal levels. These data have important applications ranging from transportation planning to epidemic modeling. However, issues must be overcome to best serve these use cases: The data often represent a limited sample of the population and use of the data jeopardizes privacy. ...

#wordle #2021

A Spanish data scientist’s strategy to win 99% of the time at Wordle

Article in the Spanish newspaper El País about my analysis of how to play (and win) Wordle exploiting the statistical biases in the game A Spanish data scientist’s strategy to win 99% of the time at Wordle Esteban Moro has created an algorithm to solve the trending online game that has hundreds of thousands of people around the world in its thrall Esteban Moro, a professor, researcher and data scientist at Madrid’s Carlos III University and visiting professor at the Massachusetts Institute of Technology (MIT), has sought a scientific answer to this question. ...