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Samuel V. Scarpino on Muck Rack

Samuel V. Scarpino

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Articles

Global approaches to infectious disease surveillance and modeling

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By Mark P Khurana, Joseph Tsui, Bernardo Gutiérrez, Ayush Chopra, Neil Scheidwasser, Serina Chang, David A. Duchêne, Cathal Mills, Rhys Inward, Benjamin Reddy, John Brittain, Abhishek Dasgupta, James Sheldon, George Githinji, John S. Brownstein, Mélodie Monod, Luca Ferretti, Sivan Bershan, Simon Tietze, Leo Ferres, Silvia Argimon, Timothy J. Dallman, Etien Luc Koua, Oliver Ratmann, Simon Cauchemez, Lauren Meyers, Lili Su, Alessandro Vespignani, Paul Pronyk, Áine O’Toole, Andrew Rambaut, Nicholas J. Loman, Edward Holmes, Seth Flaxman, Nicola Mulder, Oliver Morgan, Houriiyah Tegally, Manuel Gomez-Rodriguez, Nigel Shadbolt, Christian T. Happi, Meera A Chand, Sofonias K. Tessema, Placide Mbala-Kingebeni, Marc A. Suchard, Oliver G. Pybus, Samuel V. Scarpino, Samir Bhatt, Moritz Kraemer
| Nature Verified
Abstract Human mobility, climate change and demographic trends increase the risk of pathogen spillover and expansion. Data that can inform our responses to outbreaks have increased in availability and volume, but access to highly confidential outbreak data and commercially sensitive contextual information remains difficult.
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Multiroute pathogen transmission is different

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By Samuel V. Scarpino
| Science Magazine Verified
Abstract Pathogens can spread via multiple transmission routes. The epidemiology of such pathogens exhibits rich complexity and produces counterintuitive dynamics. SIGN UP FOR THE AWARD-WINNING SCIENCEADVISER NEWSLETTER The latest news, commentary, and research, free to your inbox daily Epidemics are complex systems. They emerge from the interaction of host, pathogen, and environment.
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Artificial intelligence for modelling infectious disease epidemics - Nature

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By Serina Chang, Samantha Vanderslott, Elizaveta Semenova, Oliver Watson, Abhishek Dasgupta, Samuel V. Scarpino, Oliver Morgan, Loukas Moutsianas, Neil Ferguson, Eric J. Topol, David A. Duchêne, Tanja Stadler, Michael Parker, Francesca Dominici, Marc A. Suchard, Seth Flaxman, Edward C. Holmes, Bernhard Schölkopf, Christl A. Donnelly, Simon Cauchemez
| Nature Verified
Abstract Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already supporting human decision making in economics, medicine and social science, have the potential to transform the scope and power of infectious disease epidemiology.
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