Results 51 to 60 of about 392,335 (195)
Journal of the Georgia Public Health Association, 2022 Background: We investigate epidemiological models, their parameters, and the models’ predictive performance of daily new cases during the first three weeks of the SARS-CoV-2 outbreak in a southwest Georgia hotspot.
Daniel F. Linder +6 more
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Infectious Disease Modelling, 2022 In this paper, a stochastic epidemiological model is presented as an extension of a compartmental SEIR model with random perturbations to analyze the dynamics of the COVID-19 pandemic in the city of Bogotá D.C., Colombia.
David Niño-Torres +4 more
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Modelling the Transmission Dynamics of Tuberculosis in the Ashanti Region of Ghana
Interdisciplinary Perspectives on Infectious Diseases, 2020 Mathematical models can aid in elucidating the spread of infectious disease dynamics within a given population over time. In an attempt to model tuberculosis (TB) dynamics among high-burden districts in the Ashanti Region of Ghana, the SEIR epidemic ...
Felix Okoe Mettle +2 more
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Swarming Computational Procedures for the Coronavirus-Based Mathematical SEIR-NDC Model
Journal of Mathematics, 2022 The motive of the current work is related to solving the coronavirus-based mathematical system of susceptible (S), exposed (E), infected (I), recovered (R), overall population (N), civic observation (D), and cumulative performance (C), called as SEIR-NDC.
Suthep Suantai +3 more
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Study on a susceptible–exposed–infected–recovered model with nonlinear incidence rate
Advances in Difference Equations, 2020 A stochastic susceptible–exposed–infected–recovered (SEIR) model with nonlinear incidence rate is investigated. Under suitable conditions, existence and uniqueness of a global solution, stationary distribution with ergodicity, persistence in the mean ...
Lijun Chen, Fengying Wei
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Complex model calibration through emulation, a worked example for a stochastic epidemic model
Epidemics, 2022 Uncertainty quantification is a formal paradigm of statistical estimation that aims to account for all uncertainties inherent in the modelling process of real-world complex systems. The methods are directly applicable to stochastic models in epidemiology,
Michael Dunne +12 more
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Estimation of parameters for a humidity-dependent compartmental model of the COVID-19 outbreak [PDF]
PeerJ, 2021 Building an effective and highly usable epidemiology model presents two main challenges: finding the appropriate, realistic enough model that takes into account complex biological, social and environmental parameters and efficiently estimating the ...
Csaba Farkas +3 more
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PLoS Computational Biology, 2023 Modelling the transmission dynamics of an infectious disease is a complex task. Not only it is difficult to accurately model the inherent non-stationarity and heterogeneity of transmission, but it is nearly impossible to describe, mechanistically ...
Sanmitra Ghosh +2 more
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Complexity, 2022 In this paper, we study the dynamics of COVID-19 in the UAE with an extended SEIR epidemic model with vaccination, time-delays, and random noise. The stationary ergodic distribution of positive solutions is examined, in which the solution fluctuates ...
H. J. Alsakaji, F. A. Rihan, A. Hashish
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EPIGUI: Graphical User Interface for Simulating Epidemics on Networks
Trends in Computational and Applied Mathematics, 2023 This paper presents a graphical interface called EPIGUI, which allows the study of the dynamics of an infectious disease spread using compartmental models in combination with complex networks.
E. R. Pinto +3 more
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