Samuel V. Scarpino

20 papers A* 1Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hypergraph representations of single-cell RNA sequencing data for improved cell clustering.
Bioinform.
Wan He, Daniel I. Bolnick, Samuel V. Scarpino, Tina Eliassi-Rad
2025 J jnl
Artificial intelligence for modelling infectious disease epidemics.
Nat.
Moritz U. G. Kraemer, Joseph L.-H. Tsui, Serina Chang, Spyros Lytras, Mark P. Khurana, Samantha Vanderslott, Sumali Bajaj, Neil Scheidwasser, Jacob Liam Curran-Sebastian, Elizaveta Semenova, Mengyan Zhang, H. Juliette T. Unwin, Oliver J. Watson, Cathal Mills, Abhishek Dasgupta, Luca Ferretti, Samuel V. Scarpino, Etien Koua, Oliver Morgan, Houriiyah Tegally, Ulrich Paquet, Loukas Moutsianas, Christophe Fraser, Neil M. Ferguson, Eric J. Topol, David A. Duchêne, Tanja Stadler, Patricia Kingori, Michael J. Parker, Francesca Dominici, Nigel Shadbolt, Marc A. Suchard, Oliver Ratmann, Seth R. Flaxman, Edward C. Holmes, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Christl A. Donnelly, Oliver G. Pybus, Simon Cauchemez, Samir Bhatt
2025 J jnl
Computational frame analysis revisited: On LLMs for studying news coverage.
CoRR
Sharaj Kunjar, Alyssa Hasegawa Smith, Tyler R. Mckenzie, Rushali Mohbe, Samuel V. Scarpino, Brooke Foucault Welles
2025 J jnl
Deterministic construction of typical networks in network models.
CoRR
Narayan G. Sabhahit, Moritz Laber, Harrison Hartle, Jasper van der Kolk, Samuel V. Scarpino, Brennan Klein, Dmitri V. Krioukov
2024 J jnl
A Misclassification Network-Based Method for Comparative Genomic Analysis.
CoRR
Wan He, Tina Eliassi-Rad, Samuel V. Scarpino
2023 J jnl
The Role of Directionality, Heterogeneity, and Correlations in Epidemic Risk and Spread.
SIAM Rev.
Antoine Allard, Cristopher Moore, Samuel V. Scarpino, Benjamin M. Althouse, Laurent Hébert-Dufresne
2022 J jnl
A Family of Fitness Landscapes Modeled through Gene Regulatory Networks.
Entropy
Chia-Hung Yang, Samuel V. Scarpino
2022 J jnl
Effective resistance against pandemics: Mobility network sparsification for high-fidelity epidemic simulations.
PLoS Comput. Biol.
Alexander M. Mercier, Samuel V. Scarpino, Cristopher Moore
2021 J jnl
Data curation during a pandemic and lessons learned from COVID-19.
Nat. Comput. Sci.
Moritz U. G. Kraemer, Samuel V. Scarpino, Vukosi Marivate, Bernardo Gutierrez, Bo Xu, Graham Lee, Jared B. Hawkins, Caitlin M. Rivers, David M. Pigott, Rebecca Katz, John S. Brownstein
2021 J jnl
Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children.
Frontiers Artif. Intell.
Megan McLaughlin, Karell G. Pellé, Samuel V. Scarpino, Aisha Giwa, Ezra Mount-Finette, Nada Haidar, Fatima Adamu, Nirmal Ravi, Adam Thompson, Barry Heath, Sabine Dittrich, Barry Finette
2021 J jnl
Effective Resistance for Pandemics: Mobility Network Sparsification for High-Fidelity Epidemic Simulation.
CoRR
Alexander M. Mercier, Samuel V. Scarpino, Cristopher Moore
2021 — conf
Networked data and COVID-19.
GRADES-NDA@SIGMOD
Samuel V. Scarpino
2020 A* conf
Fighting a Pandemic: Convergence of Expertise, Data Science and Policy.
KDD
Tina Eliassi-Rad, Nitesh V. Chawla, Vittoria Colizza, Lauren Gardner, Marcel Salathé, Samuel V. Scarpino, Joseph T. Wu
2020 J jnl
Mobile phone data and COVID-19: Missing an opportunity?
CoRR
Nuria Oliver, Emmanuel Letouzé, Harald Sterly, Sébastien Delataille, Marco De Nadai, Bruno Lepri, Renaud Lambiotte, Richard Benjamins, Ciro Cattuto, Vittoria Colizza, Nicolas de Cordes, Samuel P. Fraiberger, Till Koebe, Sune Lehmann, Juan Murillo, Alex Pentland, Phuong N. Pham, Frédéric Pivetta, Albert Ali Salah, Jari Saramäki, Samuel V. Scarpino, Michele Tizzoni, Stefaan Verhulst, Patrick Vinck
2020 J jnl
Socioeconomic bias in influenza surveillance.
PLoS Comput. Biol.
Samuel V. Scarpino, James G. Scott, Rosalind M. Eggo, Bruce Clements, Nedialko B. Dimitrov, Lauren Ancel Meyers
2018 J jnl
The Interhospital Transfer Network for Very Low Birth Weight Infants in the United States.
CoRR
Munik Shrestha, Samuel V. Scarpino, Erika M. Edwards, Lucy T. Greenberg, Jeffrey D. Horbar
2018 J jnl
The interhospital transfer network for very low birth weight infants in the United States.
EPJ Data Sci.
Munik Shrestha, Samuel V. Scarpino, Erika M. Edwards, Lucy T. Greenberg, Jeffrey D. Horbar
2015 J jnl
A message-passing approach for recurrent-state epidemic models on networks.
CoRR
Munik Shrestha, Samuel V. Scarpino, Cristopher Moore
2015 J jnl
Enhancing disease surveillance with novel data streams: challenges and opportunities.
EPJ Data Sci.
Benjamin M. Althouse, Samuel V. Scarpino, Lauren Ancel Meyers, John W. Ayers, Marisa Bargsten, Joan Baumbach, John S. Brownstein, Lauren A. Castro, Hannah E. Clapham, Derek A. T. Cummings, Sara Y. Del Valle, Stephen G. Eubank, Geoffrey Fairchild, Lyn Finelli, Nicholas Generous, Dylan B. George, David R. Harper, Laurent Hébert-Dufresne, Michael A. Johansson, Kevin J. Konty, Marc Lipsitch, Gabriel Milinovich, Joseph D. Miller, Elaine O. Nsoesie, Donald R. Olson, Michael J. Paul, Philip M. Polgreen, Reid Priedhorsky, Jonathan M. Read, Isabel Rodríguez-Barraquer, Derek J. Smith, Christian Stefansen, David L. Swerdlow, Deborah Thompson, Alessandro Vespignani, Amy Wesolowski
2012 J jnl
Optimizing Provider Recruitment for Influenza Surveillance Networks.
PLoS Comput. Biol.
Samuel V. Scarpino, Nedialko B. Dimitrov, Lauren Ancel Meyers