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Wasiur KhudaBukhsh

Bio

I am interested in applications of probability theory to infectious disease epidemiology. In particular, I like to study the spread of infectious diseases on random graphs, and their large-graphs limits and approximations. Besides trying to answer theoretical probabilistic questions, I also develop statistical methodology for parameter inference for such systems based on incompletely observed data.

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Topics of Interest/Expertise
 

Countries of Work/Collaboration

United Kingdom

Projects

Papers

Corradin R, Danese L, KhudaBukhsh WR, Ongaro A. (2025). Model-based clustering of time-dependent observations with common structural changes. Statistics and computing, 36(1)

Zarebski A, Tellioglu N, Stockdale J, Spencer JA, KhudaBukhsh WR, Miller J, Zachreson C. (2025). Including frameworks of public health ethics in computational modelling of infectious disease interventions. Interface focus, 15(4)

KhudaBukhsh WR, Rempała GA. (2024). How to correctly fit an SIR model to data from an SEIR model?. Mathematical biosciences

Sharker Y, Diallo Z, KhudaBukhsh WR, Kenah E. (2024). Pairwise Accelerated Failure Time Regression Models for Infectious Disease Transmission in Close-Contact Groups With External Sources of Infection. Statistics in medicine

KhudaBukhsh WR, Khalsa SK, Kenah E, Rempała GA, Tien JH. (2023). COVID-19 dynamics in an Ohio prison. Frontiers in public health, (11)

KhudaBukhsh WR, Bastian CD, Wascher M, Klaus C, Sahai SY, Weir MH, Kenah E, Root E, Tien JH, Rempała GA. (2023). Projecting COVID-19 cases and hospital burden in Ohio. Journal of theoretical biology, (561)

Kiss IZ, Berthouze L, KhudaBukhsh WR. (2023). Towards Inferring Network Properties from Epidemic Data. Bulletin of mathematical biology, 86(1)

Cui K, KhudaBukhsh WR, Koeppl H. (2022). Motif-based mean-field approximation of interacting particles on clustered networks. Physical review. E, 105(4)

Klaus C, Wascher M, KhudaBukhsh WR, Rempała GA. (2022). Likelihood-Free Dynamical Survival Analysis applied to the COVID-19 epidemic in Ohio. Mathematical biosciences and engineering : MBE, 20(2)

Cui K, KhudaBukhsh WR, Koeppl H. (2022). Hypergraphon mean field games. Chaos (Woodbury, N.Y.), 32(11)

Vossler H, Akilimali P, Pan Y, KhudaBukhsh WR, Kenah E, Rempała GA. (2022). Analysis of individual-level data from 2018-2020 Ebola outbreak in Democratic Republic of the Congo. Scientific reports, 12(1)

Somekh I, KhudaBukhsh WR, Root ED, Boker LK, Rempala G, Simões EAF, Somekh E. (2022). Quantifying the Population-Level Effect of the COVID-19 Mass Vaccination Campaign in Israel: A Modeling Study. Open forum infectious diseases, 9(5)

KhudaBukhsh WR, Bastian CD, Wascher M, Klaus C, Sahai SY, Weir M, Kenah E, Root E, Tien JH, Rempala G. (2022). Projecting COVID-19 Cases and Subsequent Hospital Burden in Ohio. medRxiv : the preprint server for health sciences

Klaus C, Wascher M, KhudaBukhsh WR, Tien JH, Rempała GA, Kenah E. (2022). Assortative mixing among vaccination groups and biased estimation of reproduction numbers. The Lancet. Infectious diseases, 22(5)

Wasiur R. Khudabukhsh, Casper Woroszylo, Grzegorz A. Rempała, Heinz Koeppl. (2022). A functional central limit theorem for SI processes on configuration model graphs. Advances in Applied Probability, 54(3)

Di Lauro F, KhudaBukhsh WR, Kiss IZ, Kenah E, Jensen M, Rempała GA. (2022). Dynamic survival analysis for non-Markovian epidemic models. Journal of the Royal Society, Interface, 19(191)

Sahai SY, Gurukar S, KhudaBukhsh WR, Parthasarathy S, Rempała GA. (2021). A machine learning model for nowcasting epidemic incidence. Mathematical biosciences

KhudaBukhsh WR, Kang HW, Kenah E, Rempala G. (2020). Incorporating age and delay into models for biophysical systems. Physical biology

KhudaBukhsh WR, Choi B, Kenah E, Rempa?a GA. (2020). Survival dynamical systems: individual-level survival analysis from population-level epidemic models. Interface focus, 10(1)

Kang HW, KhudaBukhsh WR, Koeppl H, Rempała GA. (2019). Quasi-Steady-State Approximations Derived from the Stochastic Model of Enzyme Kinetics. Bulletin of mathematical biology, 81(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)

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