A stochastic SIRD model with imperfect immunity for the evaluation of epidemics

VE Papageorgiou, G Tsaklidis - Applied Mathematical Modelling, 2023 - Elsevier
Efficient assessment of epidemic phenomena has an important role in modern
epidemiology, while many novel methods propose reliable estimates for epidemic evolution …

An improved epidemiological-unscented Kalman filter (hybrid SEIHCRDV-UKF) model for the prediction of COVID-19. Application on real-time data

VE Papageorgiou, G Tsaklidis - Chaos, Solitons & Fractals, 2023 - Elsevier
The prevalence of COVID-19 has been the most serious health challenge of the 21th century
to date, concerning national health systems on a daily basis, since December 2019 when it …

A novel epidemiologically informed particle filter for assessing epidemic phenomena. Application to the monkeypox outbreak of 2022

VE Papageorgiou, P Kolias - Inverse Problems, 2024 - iopscience.iop.org
Contagious diseases are constantly affecting more and more people every day, resulting in
widespread health crises especially in developing nations. Previous studies have …

Probabilistic modelling of COVID-19 dynamic in the context of Madagascar

A Raherinirina, TS Fandresena… - Open Journal of …, 2021 - hal.science
We propose a probabilistic approach to modelling the propagation of the coronavirus
disease 2019 (COVID-19) in Madagascar, with all its specificities. With the strategy of the …

Maximum likelihood estimation for a stochastic SEIR system with a COVID-19 application

F Baltazar-Larios, F Delgado-Vences… - International Journal of …, 2022 - Taylor & Francis
In this paper, we propose a stochastic model for epidemiology data. The proposed model is
obtained as a random perturbation of a suitable parameter in a deterministic SEIR system …

[PDF][PDF] Stochastic age-structured malaria transmission model

P Gahungu, BKA Wahid, AM Oumarou… - Journal of Applied …, 2017 - researchgate.net
A stochastic age-structured malaria epidemic model is formulated and analysed. The
proposed stochastic model is a perturbation of a deterministic age-structured model where …

Enhancing infectious disease modelling through a Kalman-based (HCRD-R) epidemiological approach. Application to COVID-19 data during the vaccination period

P Christodoulidou, VE Papageorgiou… - Commun. Math. Biol …, 2024 - scik.org
The COVID-19 pandemic represented one of the most pressing global health crises of the
21st century, imposing substantial challenges upon national healthcare systems. Efforts to …

[HTML][HTML] A Hybrid SEIHCRDV-UKF Model for COVID-19 Prediction. Application on real-time data

VE Papageorgiou, G Tsaklidis - 2022 - europepmc.org
The prevalence of COVID-19 has been the most serious health challenge of the 21th century
to date, concerning national health systems on a daily basis, since December 2019 when it …

Epidemic Models and Estimation of the Spread of SARS-CoV-2: Case Study Portoviejo-Ecuador

S Luis, I Saba - … Conference on Smart Technologies, Systems and …, 2021 - Springer
The mathematical models can help to characterize, quantify, summarize, and determine the
severity of the outbreak of the Coronavirus, the estimation of the dynamics of the pandemic …

[PDF][PDF] Study of the convergence of stochastic compartmental models in epidemiology

SF TSILEFA, A RAHERINIRINA - cimpa2025.enit-lr.tn
The use of compartmental models is well known in epidemiology. In this paper, we present a
numerical method for the convergence analysis of stochasistic extensions of these models …