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Sara Y. Del Valle
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2020 – today
- 2025
- [j11]Axel Browne, David Butts, Edgar Jaramillo-Rodriguez, Nidhi Parikh, Geoffrey Fairchild, Zach Needell, Cristian Poliziani, Tom Wenzel, Timothy C. Germann, Sara Y. Del Valle:
Corrigendum to "Evaluating disease surveillance strategies for early outbreak detection in contact networks with varying community structure" [Soc. Netw. 79 (2024) 122-132]. Soc. Networks 80: 43 (2025) - 2024
- [j10]Axel Browne, David Butts
, Edgar Jaramillo-Rodriguez, Nidhi Parikh
Evaluating disease surveillance strategies for early outbreak detection in contact networks with varying community structure. Soc. Networks 79: 122-132 (2024) - 2022
- [j9]Lauren J. Beesley
Addressing delayed case reporting in infectious disease forecast modeling. PLoS Comput. Biol. 18(6) (2022) - [c8]Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz:
Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates. Healthcare AI and COVID-19 Workshop 2022: 54-62 - [c7]Jayaraman J. Thiagarajan, Rushil Anirudh, Peer-Timo Bremer, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz:
Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models. Healthcare AI and COVID-19 Workshop 2022: 63-72 - 2021
- [j8]Ashlynn R. Daughton, Sara Y. Del Valle, Chrysm Watson Ross, Geoffrey Fairchild:
Hindcasting Violent Events in Colombia Using Internet Data. Digit. Gov. Res. Pract. 2(3): 28:1-28:14 (2021) - [i7]Martha Barnard, Radhika Iyer, Sara Y. Del Valle, Ashlynn R. Daughton:
Impact of COVID-19 Policies and Misinformation on Social Unrest. CoRR abs/2110.09234 (2021) - 2020
- [i6]Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz:
Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates. CoRR abs/2010.06558 (2020) - [i5]Jayaraman J. Thiagarajan, Peer-Timo Bremer, Rushil Anirudh, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz:
Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models. CoRR abs/2010.08478 (2020)
2010 – 2019
- 2019
- [c6]Ashlynn R. Daughton, Geoffrey Fairchild, Chrysm Watson Ross, Sara Y. Del Valle:
Topic Modeling To Contextualize Event-Based Datasets: The Colombian Peace Process. ARIC@SIGSPATIAL 2019: 9-12 - [i4]Wendy K. Caldwell, Geoffrey Fairchild, Sara Y. Del Valle:
Nowcasting Influenza Incidence with CDC Web Traffic Data: A Demonstration Using a Novel Data Set. CoRR abs/1904.04931 (2019) - 2018
- [c5]Amanda Ziemann, Geoffrey Fairchild, Jessica Conrad, Carrie Manore, Nidhi Parikh
Predicting Dengue Incidence in Brazil Using Broad-Scale Spectral Remote Sensing Imagery. IGARSS 2018: 2076-2078 - 2017
- [c4]Reid Priedhorsky, Dave Osthus, Ashlynn R. Daughton, Kelly R. Moran, Nicholas Generous, Geoffrey Fairchild, Alina Deshpande
Measuring Global Disease with Wikipedia: Success, Failure, and a Research Agenda. CSCW 2017: 1812-1834 - 2015
- [j7]Benjamin M. Althouse, Samuel V. Scarpino, Lauren Ancel Meyers
Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Sci. 4(1): 17 (2015) - [j6]Kyle S. Hickmann, Geoffrey Fairchild, Reid Priedhorsky, Nicholas Generous, James Mac Hyman
Forecasting the 2013-2014 Influenza Season Using Wikipedia. PLoS Comput. Biol. 11(5) (2015) - [i3]Geoffrey Fairchild, Lalindra De Silva, Sara Y. Del Valle, Alberto M. Segre:
Eliciting Disease Data from Wikipedia Articles. CoRR abs/1504.00657 (2015) - 2014
- [j5]Geoffrey Fairchild, Kyle S. Hickmann, Susan M. Mniszewski
Optimizing human activity patterns using global sensitivity analysis. Comput. Math. Organ. Theory 20(4): 394-416 (2014) - [j4]Nicholas Generous, Geoffrey Fairchild, Alina Deshpande
Global Disease Monitoring and Forecasting with Wikipedia. PLoS Comput. Biol. 10(11) (2014) - [c3]Reid Priedhorsky, Aron Culotta, Sara Y. Del Valle:
Inferring the origin locations of tweets with quantitative confidence. CSCW 2014: 1523-1536 - [c2]Susan M. Mniszewski, C. A. Manore, Chris Bryan, Sara Y. Del Valle, D. Roberts:
Towards a hybrid agent-based model for mosquito borne disease. SummerSim 2014: 10 - [p1]Susan M. Mniszewski, Sara Y. Del Valle, Reid Priedhorsky, James Mac Hyman
Understanding the Impact of Face Mask Usage Through Epidemic Simulation of Large Social Networks. Theories and Simulations of Complex Social Systems 2014: 97-115 - [i2]Nicholas Generous, Geoffrey Fairchild, Alina Deshpande, Sara Y. Del Valle, Reid Priedhorsky:
Detecting epidemics using Wikipedia article views: A demonstration of feasibility with language as location proxy. CoRR abs/1405.3612 (2014) - 2013
- [i1]Reid Priedhorsky, Aron Culotta, Sara Y. Del Valle:
Inferring the Origin Locations of Tweets with Quantitative Confidence. CoRR abs/1305.3932 (2013)
2000 – 2009
- 2008
- [j3]Susan M. Mniszewski
Pandemic simulation of antivirals + school closures: buying time until strain-specific vaccine is available. Comput. Math. Organ. Theory 14(3): 209-221 (2008) - [c1]Susan M. Mniszewski, Sara Y. Del Valle, Phillip D. Stroud, Jane M. Riese, Stephen J. Sydoriak:
EpiSimS simulation of a multi-component strategy for pandemic influenza. SpringSim 2008: 556-563 - 2007
- [j2]Phillip D. Stroud, Sara Y. Del Valle, Stephen J. Sydoriak, Jane M. Riese, Susan M. Mniszewski:
Spatial Dynamics of Pandemic Influenza in a Massive Artificial Society. J. Artif. Soc. Soc. Simul. 10(4) (2007) - [j1]Sara Y. Del Valle, James Mac Hyman
Mixing patterns between age groups in social networks. Soc. Networks 29(4): 539-554 (2007)
Coauthor Index
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