The Basic Reproduction Number for the Markovian SIR-Type Epidemic Models: Comparison and Consistency

This paper is concerned with a well-known epidemiological concept to measure the spread of infectious disease, that is, the basic reproduction number. This paper has two major objectives. The first is to examine Bayesian sensitivity and consistency of this measure for the case of Markov epidemic mod...

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Main Author: Muteb Faraj Alharthi
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2022/1925202
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author Muteb Faraj Alharthi
author_facet Muteb Faraj Alharthi
author_sort Muteb Faraj Alharthi
collection DOAJ
description This paper is concerned with a well-known epidemiological concept to measure the spread of infectious disease, that is, the basic reproduction number. This paper has two major objectives. The first is to examine Bayesian sensitivity and consistency of this measure for the case of Markov epidemic models. The second is to assess the Martingale method by comparing its performance to that of Markov Chain Monte Carlo (MCMC) methods in terms of estimating this parameter and the infection and removal rate parameters given only removal data. We specifically consider the Markovian SIR (Susceptible-Infective-Removed) epidemic model routinely employed in the literature with exponentially distributed infectious periods. For illustration, numerical simulation studies are performed. Abakaliki smallpox data are examined as a real data application.
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institution Kabale University
issn 2314-4785
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spelling doaj-art-b31aa3554f654fba8f2838995f44d35d2025-02-03T01:20:36ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/1925202The Basic Reproduction Number for the Markovian SIR-Type Epidemic Models: Comparison and ConsistencyMuteb Faraj Alharthi0Department of Mathematics and StatisticsThis paper is concerned with a well-known epidemiological concept to measure the spread of infectious disease, that is, the basic reproduction number. This paper has two major objectives. The first is to examine Bayesian sensitivity and consistency of this measure for the case of Markov epidemic models. The second is to assess the Martingale method by comparing its performance to that of Markov Chain Monte Carlo (MCMC) methods in terms of estimating this parameter and the infection and removal rate parameters given only removal data. We specifically consider the Markovian SIR (Susceptible-Infective-Removed) epidemic model routinely employed in the literature with exponentially distributed infectious periods. For illustration, numerical simulation studies are performed. Abakaliki smallpox data are examined as a real data application.http://dx.doi.org/10.1155/2022/1925202
spellingShingle Muteb Faraj Alharthi
The Basic Reproduction Number for the Markovian SIR-Type Epidemic Models: Comparison and Consistency
Journal of Mathematics
title The Basic Reproduction Number for the Markovian SIR-Type Epidemic Models: Comparison and Consistency
title_full The Basic Reproduction Number for the Markovian SIR-Type Epidemic Models: Comparison and Consistency
title_fullStr The Basic Reproduction Number for the Markovian SIR-Type Epidemic Models: Comparison and Consistency
title_full_unstemmed The Basic Reproduction Number for the Markovian SIR-Type Epidemic Models: Comparison and Consistency
title_short The Basic Reproduction Number for the Markovian SIR-Type Epidemic Models: Comparison and Consistency
title_sort basic reproduction number for the markovian sir type epidemic models comparison and consistency
url http://dx.doi.org/10.1155/2022/1925202
work_keys_str_mv AT mutebfarajalharthi thebasicreproductionnumberforthemarkoviansirtypeepidemicmodelscomparisonandconsistency
AT mutebfarajalharthi basicreproductionnumberforthemarkoviansirtypeepidemicmodelscomparisonandconsistency