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Stochastic SIS Modelling: Coinfection of Two Pathogens in Two-Host Communities
A pathogen can infect multiple hosts. For example, zoonotic diseases like rabies often colonize both humans and animals. Meanwhile, a single host can sometimes be infected with many pathogens, such as malaria and meningitis. Therefore, we studied two susceptible classes [Formula: see text] and [Form...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516484/ https://www.ncbi.nlm.nih.gov/pubmed/33285829 http://dx.doi.org/10.3390/e22010054 |
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author | Abdullahi, Auwal Shohaimi, Shamarina Kilicman, Adem Hafiz Ibrahim, Mohd Salari, Nader |
author_facet | Abdullahi, Auwal Shohaimi, Shamarina Kilicman, Adem Hafiz Ibrahim, Mohd Salari, Nader |
author_sort | Abdullahi, Auwal |
collection | PubMed |
description | A pathogen can infect multiple hosts. For example, zoonotic diseases like rabies often colonize both humans and animals. Meanwhile, a single host can sometimes be infected with many pathogens, such as malaria and meningitis. Therefore, we studied two susceptible classes [Formula: see text] and [Formula: see text] , each of which can be infected when interacting with two different infectious groups [Formula: see text] and [Formula: see text]. The stochastic models were formulated through the continuous time Markov chain (CTMC) along with their deterministic analogues. The statistics for the developed model were studied using the multi-type branching process. Since each epidemic class was assumed to transmit only its own type of pathogen, two reproduction numbers were obtained, in addition to the probability-generating functions of offspring. Thus, these, together with the mean number of infections, were used to estimate the probability of extinction. The initial population of infectious classes can influence their probability of extinction. Understanding the disease extinctions and outbreaks could result in rapid intervention by the management for effective control measures. |
format | Online Article Text |
id | pubmed-7516484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75164842020-11-09 Stochastic SIS Modelling: Coinfection of Two Pathogens in Two-Host Communities Abdullahi, Auwal Shohaimi, Shamarina Kilicman, Adem Hafiz Ibrahim, Mohd Salari, Nader Entropy (Basel) Article A pathogen can infect multiple hosts. For example, zoonotic diseases like rabies often colonize both humans and animals. Meanwhile, a single host can sometimes be infected with many pathogens, such as malaria and meningitis. Therefore, we studied two susceptible classes [Formula: see text] and [Formula: see text] , each of which can be infected when interacting with two different infectious groups [Formula: see text] and [Formula: see text]. The stochastic models were formulated through the continuous time Markov chain (CTMC) along with their deterministic analogues. The statistics for the developed model were studied using the multi-type branching process. Since each epidemic class was assumed to transmit only its own type of pathogen, two reproduction numbers were obtained, in addition to the probability-generating functions of offspring. Thus, these, together with the mean number of infections, were used to estimate the probability of extinction. The initial population of infectious classes can influence their probability of extinction. Understanding the disease extinctions and outbreaks could result in rapid intervention by the management for effective control measures. MDPI 2019-12-31 /pmc/articles/PMC7516484/ /pubmed/33285829 http://dx.doi.org/10.3390/e22010054 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Abdullahi, Auwal Shohaimi, Shamarina Kilicman, Adem Hafiz Ibrahim, Mohd Salari, Nader Stochastic SIS Modelling: Coinfection of Two Pathogens in Two-Host Communities |
title | Stochastic SIS Modelling: Coinfection of Two Pathogens in Two-Host Communities |
title_full | Stochastic SIS Modelling: Coinfection of Two Pathogens in Two-Host Communities |
title_fullStr | Stochastic SIS Modelling: Coinfection of Two Pathogens in Two-Host Communities |
title_full_unstemmed | Stochastic SIS Modelling: Coinfection of Two Pathogens in Two-Host Communities |
title_short | Stochastic SIS Modelling: Coinfection of Two Pathogens in Two-Host Communities |
title_sort | stochastic sis modelling: coinfection of two pathogens in two-host communities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516484/ https://www.ncbi.nlm.nih.gov/pubmed/33285829 http://dx.doi.org/10.3390/e22010054 |
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