| Modeling control strategies for concurrent epidemics of seasonal and pandemic H1N1 influenza O Prosper, O Saucedo, D Thompson, G Torres-Garcia, X Wang, ... Mathematical Biosciences & Engineering 8 (1), 141-170, 2010 | 71 | 2010 |
| The effect of latitudinal variation on shrimp reproductive strategies M van de Kerk, C Jones Littles, O Saucedo, K Lorenzen PLoS One 11 (5), e0155266, 2016 | 23 | 2016 |
| Searching for superspreaders: Identifying epidemic patterns associated with superspreading events in stochastic models CJ Edholm, BO Emerenini, AL Murillo, O Saucedo, N Shakiba, X Wang, ... Understanding complex biological systems with mathematics, 1-29, 2018 | 17 | 2018 |
| Effects of environmental variability on superspreading transmission events in stochastic epidemic models N Shakiba, CJ Edholm, BO Emerenini, AL Murillo, A Peace, O Saucedo, ... Infectious Disease Modelling 6, 560-583, 2021 | 8 | 2021 |
| A hybrid epidemic model to explore stochasticity in COVID-19 dynamics KKL Hwang, CJ Edholm, O Saucedo, LJS Allen, N Shakiba Bulletin of Mathematical Biology 84 (9), 91, 2022 | 7 | 2022 |
| Competition between low and high pathogenicity avian influenza in a two-patch system O Saucedo, M Martcheva Mathematical Biosciences 288, 52-70, 2017 | 5 | 2017 |
| Relating Eulerian and Lagrangian spatial models for vector-host disease dynamics through a fundamental matrix E Vargas Bernal, O Saucedo, JH Tien Journal of Mathematical Biology 84 (7), 57, 2022 | 4 | 2022 |
| Modeling outbreak data: Analysis of a 2012 Ebola virus disease epidemic in DRC B Choi, S Busch, D Kazadi, B Ilunga, E Okitolonda, Y Dai, R Lumpkin, ... Biomath (Sofia, Bulgaria) 8 (2), 2019 | 4 | 2019 |
| Host movement, transmission hot spots, and vector-borne disease dynamics on spatial networks O Saucedo, JH Tien Infectious Disease Modelling 7 (4), 742-760, 2022 | 3 | 2022 |
| Computing human to human avian influenza R0 via transmission chains and parameter estimation O Saucedo, M Martcheva, A Annor Math. Biosci. Eng 16, 3465-3487, 2019 | 2 | 2019 |
| Comparative Analysis of Practical Identifiability Methods for an SEIR Model O Saucedo, A Laubmeier, T Tang, B Levy, L Asik, T Pollington, O Prosper arXiv preprint arXiv:2401.15076, 2024 | | 2024 |
| Why Similar Policies Resulted In Different COVID-19 Outcomes: How Responsiveness And Culture Influenced Mortality Rates: Study examines why similar policies resulted in … TY Lim, R Xu, N Ruktanonchai, O Saucedo, LM Childs, MS Jalali, ... Health Affairs 42 (12), 1637-1646, 2023 | | 2023 |
| The Effect of Data Structure on the Identifiability of Epidemic Models O Saucedo | | 2023 |
| Impact of data structure, availability and noise distribution on practical and structural identifiability of an SEIR model O Saucedo | | 2022 |
| Searching for Superspreaders: Identifying Epidemic Patterns Associated with Superspreading Events in Stochastic Models O Saucedo | | 2020 |
| A Framework for Exploring How Density Dependence Early in the Life History Can Affect Louisiana’s Brown Shrimp Fishery CJ Littles, O Saucedo, M van de Kerk, K Lorenzen Marine and Coastal Fisheries 9 (1), 419-431, 2017 | | 2017 |
| Marsh habitat loss or overfishing: A modeling framework for comparing major factors affecting the abundance of brown shrimp (Farfantepenaeus aztecus) in coastal … C Littles, O Saucedo, M van de Kerk, K Lorenzen 101st ESA Annual Meeting (August 7--12, 2016), 2016 | | 2016 |
| A VECTOR-BORNE DISEASE MODEL WITH VECTOR CONTROLLING AND VACCINATION XZ Li, J Wang, O Saucedo, J Wang Journal of Biological Systems 21 (04), 1340008, 2013 | | 2013 |
| Analysis of mathematical formulations of human risk response in COVID-19 models L LeJeune, O Saucedo, LM Childs, N Ghaffarzadegan 2024 Spring Eastern Sectional Meeting, 0 | | |
| Comparative Analysis of Practical Identifiability Methods for an SEIR1 Model T Tang, O Saucedo, A Laubmeier, B Levy, L Asik, T Pollington, O Prosper 2024 Spring Southeastern Sectional Meeting, 0 | | |
