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Enhancing disease surveillance with novel data streams: challenges and opportunities.

B. Althouse, S. Scarpino, L. Meyers, J. Ayers, M. Bargsten, J. Baumbach, J. Brownstein, L. Castro, H. Clapham, D. Cummings, S. Valle, S. Eubank, G. Fairchild, L. Finelli, N. Generous, D. George, D. Harper, L. Hébert-Dufresne, M. Johansson, K. Konty, M. Lipsitch, G. Milinovich, J. Miller, E. Nsoesie, D. Olson, M. Paul, P. Polgreen, R. Priedhorsky, J. Read, I. Rodríguez-Barraquer, D. Smith, C. Stefansen, D. Swerdlow, D. Thompson, A. Vespignani, and A. Wesolowski. EPJ Data Sci., 4 (1): 17 (2015)

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Enhancing disease surveillance with novel data streams: challenges and opportunities.B. Althouse, S. Scarpino, L. Meyers, J. Ayers, M. Bargsten, J. Baumbach, J. Brownstein, L. Castro, H. Clapham, D. Cummings and 26 other author(s). EPJ Data Sci., 4 (1): 17 (2015)Optimizing Provider Recruitment for Influenza Surveillance Networks.S. Scarpino, N. Dimitrov, and L. Meyers. PLoS Comput. Biol., (2012)Data curation during a pandemic and lessons learned from COVID-19.M. Kraemer, S. Scarpino, V. Marivate, B. Gutierrez, B. Xu, G. Lee, J. Hawkins, C. Rivers, D. Pigott, R. Katz and 1 other author(s). Nat. Comput. Sci., 1 (1): 9-10 (2021)The effect of a prudent adaptive behaviour on disease transmissionS. Scarpino, A. Allard, and L. Hébert-Dufresne. Nature Physics, 12 (11): 1042--1046 (Aug 1, 2016)Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children.M. McLaughlin, K. Pellé, S. Scarpino, A. Giwa, E. Mount-Finette, N. Haidar, F. Adamu, N. Ravi, A. Thompson, B. Heath and 2 other author(s). Frontiers Artif. Intell., (2021)The Role of Directionality, Heterogeneity, and Correlations in Epidemic Risk and Spread.A. Allard, C. Moore, S. Scarpino, B. Althouse, and L. Hébert-Dufresne. SIAM Rev., 65 (2): 471-492 (May 2023)Effective Resistance for Pandemics: Mobility Network Sparsification for High-Fidelity Epidemic Simulation.A. Mercier, S. Scarpino, and C. Moore. CoRR, (2021)A message-passing approach for recurrent-state epidemic models on networks.M. Shrestha, S. Scarpino, and C. Moore. CoRR, (2015)Mobile phone data and COVID-19: Missing an opportunity?N. Oliver, E. Letouzé, H. Sterly, S. Delataille, M. Nadai, B. Lepri, R. Lambiotte, R. Benjamins, C. Cattuto, V. Colizza and 14 other author(s). CoRR, (2020)Socioeconomic bias in influenza surveillance.S. Scarpino, J. Scott, R. Eggo, B. Clements, N. Dimitrov, and L. Meyers. PLoS Comput. Biol., (2020)

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Disambiguation of "Scarpino, Samuel V."

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Enhancing disease surveillance with novel data streams: challenges and opportunities.

Please choose a person to relate this publication to

V Saile

V Geoffroy

V Ustinov

V Adams

V Fendrich

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Scarpino, Samuel V."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Enhancing disease surveillance with novel data streams: challenges and opportunities.

Please choose a person to relate this publication to

V Saile

V Geoffroy

V Ustinov

V Adams

V Fendrich

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Enhancing disease surveillance with novel data streams: challenges and opportunities.