| Mixing patterns between age groups in social networks SY Del Valle, JM Hyman, HW Hethcote, SG Eubank Social Networks 29 (4), 539-554, 2007 | 299 | 2007 |
| Mathematical modeling of the effectiveness of facemasks in reducing the spread of novel influenza A (H1N1) SM Tracht, SY Del Valle, JM Hyman PloS one 5 (2), e9018, 2010 | 242 | 2010 |
| A meta-analysis of the association between gender and protective behaviors in response to respiratory epidemics and pandemics KR Moran, SY Del Valle PloS one 11 (10), e0164541, 2016 | 237 | 2016 |
| Effects of behavioral changes in a smallpox attack model S Del Valle, H Hethcote, JM Hyman, C Castillo-Chavez Mathematical biosciences 195 (2), 228-251, 2005 | 233 | 2005 |
| Global disease monitoring and forecasting with Wikipedia N Generous, G Fairchild, A Deshpande, SY Del Valle, R Priedhorsky PLoS computational biology 10 (11), e1003892, 2014 | 221 | 2014 |
| Forecasting seasonal influenza with a state-space SIR model D Osthus, KS Hickmann, PC Caragea, D Higdon, SY Del Valle The annals of applied statistics 11 (1), 202, 2017 | 182 | 2017 |
| Forecasting the 2013–2014 influenza season using Wikipedia KS Hickmann, G Fairchild, R Priedhorsky, N Generous, JM Hyman, ... PLoS computational biology 11 (5), e1004239, 2015 | 179 | 2015 |
| Enhancing disease surveillance with novel data streams: challenges and opportunities BM Althouse, SV Scarpino, LA Meyers, JW Ayers, M Bargsten, ... EPJ data science 4 (1), 1-8, 2015 | 162 | 2015 |
| The impact of bed-net use on malaria prevalence FB Agusto, SY Del Valle, KW Blayneh, CN Ngonghala, MJ Goncalves, ... Journal of theoretical biology 320, 58-65, 2013 | 157 | 2013 |
| Spatial dynamics of pandemic influenza in a massive artificial society P Stroud, S Del Valle, S Sydoriak, J Riese, S Mniszewski Journal of Artificial Societies and Social Simulation 10 (4), 9, 2007 | 148 | 2007 |
| Inferring the origin locations of tweets with quantitative confidence R Priedhorsky, A Culotta, SY Del Valle Proceedings of the 17th ACM conference on Computer supported cooperative …, 2014 | 143 | 2014 |
| Epidemic forecasting is messier than weather forecasting: The role of human behavior and internet data streams in epidemic forecast KR Moran, G Fairchild, N Generous, K Hickmann, D Osthus, ... The Journal of infectious diseases 214 (suppl_4), S404-S408, 2016 | 142 | 2016 |
| Forecasting zoonotic infectious disease response to climate change: mosquito vectors and a changing environment AW Bartlow, C Manore, C Xu, KA Kaufeld, S Del Valle, A Ziemann, ... Veterinary sciences 6 (2), 40, 2019 | 138 | 2019 |
| MATHEMATICAL MODELS OF CONTACT PATTERNS BETWEEN AGE GROUPS FOR PREDICTING THE SPREAD OF INFECTIOUS DISEASES SY Del Valle, M Hyman, N Chitnis Mathematical Biosciences and Engineering 10 (0), 1475–1497, 2013 | 110 | 2013 |
| EpiSimS simulation of a multi-component strategy for pandemic influenza SM Mniszewski, SY Del Valle, PD Stroud, JM Riese, SJ Sydoriak Proceedings of the 2008 Spring simulation multiconference, 556-563, 2008 | 92 | 2008 |
| Quantifying the impact of decay in bed-net efficacy on malaria transmission CN Ngonghala, SY Del Valle, R Zhao, J Mohammed-Awel Journal of theoretical biology 363, 247-261, 2014 | 86 | 2014 |
| Effects of education, vaccination and treatment on HIV transmission in homosexuals with genetic heterogeneity S Del Valle, AM Evangelista, MC Velasco, CM Kribs-Zaleta, SFH Schmitz Mathematical Biosciences 187 (2), 111-133, 2004 | 82 | 2004 |
| Updated distribution maps of predominant Culex mosquitoes across the Americas ME Gorris, AW Bartlow, SD Temple, D Romero-Alvarez, DP Shutt, JM Fair, ... Parasites & vectors 14, 1-13, 2021 | 75 | 2021 |
| Dynamic Bayesian influenza forecasting in the United States with hierarchical discrepancy (with discussion) D Osthus, J Gattiker, R Priedhorsky, SY Del Valle | 75 | 2019 |
| Mixing in age-structured population models of infectious diseases J Glasser, Z Feng, A Moylan, S Del Valle, C Castillo-Chavez Mathematical Biosciences 235 (1), 1-7, 2012 | 72 | 2012 |
