Stochastic Models in the Problems of Predicting the Epidemiological Situation

The paper investigates some stochastic models with discrete and continuous time to solve important problems of predicting the spread of epidemiological diseases in the population. Various factors of epidemic spread and the main parameters influencing the forecast assessment are taken into account. S...

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Detalles Bibliográficos
Autores principales: Bogdanov, O. V., Knopov, P. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795316/
https://www.ncbi.nlm.nih.gov/pubmed/35106049
http://dx.doi.org/10.1007/s10559-022-00435-4
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author Bogdanov, O. V.
Knopov, P. S.
author_facet Bogdanov, O. V.
Knopov, P. S.
author_sort Bogdanov, O. V.
collection PubMed
description The paper investigates some stochastic models with discrete and continuous time to solve important problems of predicting the spread of epidemiological diseases in the population. Various factors of epidemic spread and the main parameters influencing the forecast assessment are taken into account. Some test calculations based on the proposed methods have been performed.
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spelling pubmed-87953162022-01-28 Stochastic Models in the Problems of Predicting the Epidemiological Situation Bogdanov, O. V. Knopov, P. S. Cybern Syst Anal Article The paper investigates some stochastic models with discrete and continuous time to solve important problems of predicting the spread of epidemiological diseases in the population. Various factors of epidemic spread and the main parameters influencing the forecast assessment are taken into account. Some test calculations based on the proposed methods have been performed. Springer US 2022-01-28 2022 /pmc/articles/PMC8795316/ /pubmed/35106049 http://dx.doi.org/10.1007/s10559-022-00435-4 Text en © Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Bogdanov, O. V.
Knopov, P. S.
Stochastic Models in the Problems of Predicting the Epidemiological Situation
title Stochastic Models in the Problems of Predicting the Epidemiological Situation
title_full Stochastic Models in the Problems of Predicting the Epidemiological Situation
title_fullStr Stochastic Models in the Problems of Predicting the Epidemiological Situation
title_full_unstemmed Stochastic Models in the Problems of Predicting the Epidemiological Situation
title_short Stochastic Models in the Problems of Predicting the Epidemiological Situation
title_sort stochastic models in the problems of predicting the epidemiological situation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795316/
https://www.ncbi.nlm.nih.gov/pubmed/35106049
http://dx.doi.org/10.1007/s10559-022-00435-4
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