Optimizing Provider Recruitment for Influenza Surveillance Networks. - Samuel V. Scarpino; Nedialko B. Dimitrov; Lauren Ancel Meyers (PLoS Comput. Biol., 2012)

A message-passing approach for recurrent-state epidemic models on networks. - Munik Shrestha; Samuel V. Scarpino; Cristopher Moore (CoRR, 2015)

Enhancing disease surveillance with novel data streams: challenges and opportunities. - Benjamin M. Althouse; Samuel V. Scarpino; Lauren Ancel Meyers; John W. Ayers; Marisa Bargsten; Joan Baumbach; John S. Brownstein; Lauren Castro; Hannah E. Clapham; Derek A. T. Cummings; Sara Y. Del Valle; Stephen G. Eubank; et al. (EPJ Data Sci., 2015)

The interhospital transfer network for very low birth weight infants in the United States. - Munik Shrestha; Samuel V. Scarpino; Erika M. Edwards; Lucy T. Greenberg; Jeffrey D. Horbar (EPJ Data Sci., 2018)

Fighting a Pandemic: Convergence of Expertise, Data Science and Policy. - Tina Eliassi-Rad; Nitesh V. Chawla; Vittoria Colizza; Lauren Gardner; Marcel Salathé; Samuel V. Scarpino; Joseph T. Wu (KDD, 2020)

Mobile phone data and COVID-19: Missing an opportunity? - 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; et al. (CoRR, 2020)

Socioeconomic bias in influenza surveillance. - Samuel V. Scarpino; James G. Scott; Rosalind M. Eggo; Bruce Clements; Nedialko B. Dimitrov; Lauren Ancel Meyers (PLoS Comput. Biol., 2020)

Networked data and COVID-19. - Samuel V. Scarpino (GRADES-NDA@SIGMOD, 2021)

Effective Resistance for Pandemics: Mobility Network Sparsification for High-Fidelity Epidemic Simulation. - Alexander M. Mercier; Samuel V. Scarpino; Cristopher Moore (CoRR, 2021)

Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children. - 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 (Frontiers Artif. Intell., 2021)

Data curation during a pandemic and lessons learned from COVID-19. - 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 (Nat. Comput. Sci., 2021)

A Family of Fitness Landscapes Modeled through Gene Regulatory Networks. - Chia-Hung Yang; Samuel V. Scarpino (Entropy, 2022)

Effective resistance against pandemics: Mobility network sparsification for high-fidelity epidemic simulations. - Alexander M. Mercier; Samuel V. Scarpino; Cristopher Moore (PLoS Comput. Biol., 2022)

The Role of Directionality, Heterogeneity, and Correlations in Epidemic Risk and Spread. - Antoine Allard; Cristopher Moore; Samuel V. Scarpino; Benjamin M. Althouse; Laurent Hébert-Dufresne (SIAM Rev., 2023)

A Misclassification Network-Based Method for Comparative Genomic Analysis. - Wan He; Tina Eliassi-Rad; Samuel V. Scarpino (CoRR, 2024)

Artificial intelligence for modelling infectious disease epidemics. - 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; et al. (Nat., 2025)