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  1. Article

    Open Access

    Towards Inferring Network Properties from Epidemic Data

    Epidemic propagation on networks represents an important departure from traditional mass-action models. However, the high-dimensionality of the exact models poses a challenge to both mathematical analysis and ...

    Istvan Z. Kiss, Luc Berthouze, Wasiur R. KhudaBukhsh in Bulletin of Mathematical Biology (2023)

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    Living Reference Work Entry In depth

    Dynamical Survival Analysis for Epidemic Modeling

    This chapter describes the dynamical survival analysis (DSA) method for modeling infectious diseases. This method provides a powerful framework for analyzing compartmental models of large epidemics, such as th...

    Grzegorz A. Rempała, Wasiur R. KhudaBukhsh in Handbook of Visual, Experimental and Compu…

  3. Article

    Open Access

    Analysis of individual-level data from 2018–2020 Ebola outbreak in Democratic Republic of the Congo

    The 2018–2020 Ebola virus disease epidemic in Democratic Republic of the Congo (DRC) resulted in 3481 cases (probable and confirmed) and 2299 deaths. In this paper, we use a novel statistical method to analyze...

    Harley Vossler, Pierre Akilimali, Yuhan Pan, Wasiur R. KhudaBukhsh… in Scientific Reports (2022)

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    Article

    Quasi-Steady-State Approximations Derived from the Stochastic Model of Enzyme Kinetics

    The paper outlines a general approach to deriving quasi-steady-state approximations (QSSAs) of the stochastic reaction networks describing the Michaelis–Menten enzyme kinetics. In particular, it explains how d...

    Hye-Won Kang, Wasiur R. KhudaBukhsh, Heinz Koeppl… in Bulletin of Mathematical Biology (2019)