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Omar Saucedo

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My area of research is Mathematical Biology with emphasis on modeling infectious diseases. In the past, I have worked with deterministic dynamical systems to address various epidemiological questions. These projects range from optimal control strategies on the 2009 H1N1 pandemic to investigating how poultry movement affects competition between strains of avian influenza My current work focuses on determining how human movement affects the spread of vector-borne diseases, and in collaboration with a group in Woman Advancing Mathematical Biology (WAMB), defining characteristics for a superspreader.

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Papers

LeJeune L, Saucedo O, Childs LM, Ghaffarzadegan N. (2026). The behavioural spillover effect: modelling behavioural interdependencies in multi-pathogen dynamics. Journal of biological dynamics, 20(1)

Liyanage YR, Saucedo O, Tuncer N, Chowell G. (2026). A Tutorial on Structural Identifiability of Epidemic Models Using StructuralIdentifiability.j1. ArXiv

Liyanage YR, Saucedo O, Tuncer N, Chowell G. (2026). A Tutorial on Structural Identifiability of Epidemic Models Using StructuralIdentifiability.jl. Bulletin of mathematical biology, 88(6)

Castellano K, Saucedo O, Ciupe SM. (2025). Investigation of a two-patch within-host model of hepatitis B viral infection. ArXiv

LeJeune L, Ghaffarzadegan N, Childs LM, Saucedo O. (2024). Mathematical analysis of simple behavioral epidemic models. Mathematical biosciences

Lim TY, Xu R, Ruktanonchai N, Saucedo O, Childs LM, Jalali MS, Rahmandad H, Ghaffarzadegan N. (2023). Why Similar Policies Resulted In Different COVID-19 Outcomes: How Responsiveness And Culture Influenced Mortality Rates. Health affairs (Project Hope), 42(12)

Saucedo O, Tien JH. (2022). Host movement, transmission hot spots, and vector-borne disease dynamics on spatial networks. Infectious Disease Modelling, 7(4)

Hwang KKL, Edholm CJ, Saucedo O, Allen LJS, Shakiba N. (2022). A Hybrid Epidemic Model to Explore Stochasticity in COVID-19 Dynamics. Bulletin of mathematical biology, 84(9)

Vargas Bernal E, Saucedo O, Tien JH. (2022). Relating Eulerian and Lagrangian spatial models for vector-host disease dynamics through a fundamental matrix. Journal of mathematical biology, 84(7)

Shakiba N, Edholm CJ, Emerenini BO, Murillo AL, Peace A, Saucedo O, Wang X, Allen LJS. (2021). Effects of environmental variability on superspreading transmission events in stochastic epidemic models. Infectious Disease Modelling, (6)

Saucedo O, Martcheva M, Annor A. (2019). Computing human to human Avian influenza R0 via transmission chains and parameter estimation. Mathematical biosciences and engineering : MBE, 16(5)

Choi B, Busch S, Kazadi D, Ilunga B, Okitolonda E, Dai Y, Lumpkin R, Saucedo O, KhudaBukhsh WR, Tien J, Yotebieng M, Kenah E, Rempala GA. (2019). Modeling outbreak data: Analysis of a 2012 Ebola virus disease epidemic in DRC. Biomath (Sofia, Bulgaria), 8(2)

Christina J. Edholm, Blessing O. EmereniniAnarina L. MurilloOmar SaucedoNika ShakibaXueying WangLinda J. S. AllenAngela Peace. (2018). Searching for superspreaders: Identifying epidemic patterns associated with superspreading events in stochastic models. Understanding Complex Biological Systems with Mathematics

Saucedo O, Martcheva M. (2017). Competition between low and high pathogenicity avian influenza in a two-patch system. Mathematical biosciences, (288)

Chanda J Littles, Omar Saucedo, Madelon van de Kerk, Kai Lorenzen. (2017). A Framework for Exploring How Density Dependence Early in the Life History Can Affect Louisiana’s Brown Shrimp Fishery. Marine and Coastal Fisheries, 9(1)

van de Kerk M, Jones Littles C, Saucedo O, Lorenzen K. (2016). The Effect of Latitudinal Variation on Shrimp Reproductive Strategies. PloS one, 11(5)

Xue-Zhi Li, Juan Wang, Omar Saucedo, Jiao Wang. (2013). A VECTOR-BORNE DISEASE MODEL WITH VECTOR CONTROLLING AND VACCINATION. Journal of Biological Systems, 21(4)

Prosper O, Saucedo O, Thompson D, Torres-Garcia G, Wang X, Castillo-Chavez C. (2010). Modeling control strategies for concurrent epidemics of seasonal and pandemic H1N1 influenza. Mathematical biosciences and engineering : MBE, 8(1)

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