A cholera mathematical model with vaccination and the biggest outbreak ofworld’s history
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Texto Completo: | http://hdl.handle.net/10773/24531 |
Resumo: | We propose and analyse a mathematical model for cholera considering vaccination. We show that the model is epidemiologically and mathematically well posed and prove the existence and uniqueness of disease-free and endemic equilibrium points. The basic reproduction number is determined and the local asymptotic stability of equilibria is studied. The biggest cholera outbreak of world’s history began on 27th April 2017, in Yemen. Between 27th April 2017 and 15th April 2018 there were 2 275 deaths due to this epidemic. A vaccination campaign began on 6th May 2018 and ended on 15th May 2018. We show that our model is able to describe well this outbreak. Moreover, we prove that the number of infected individuals would have been much lower provided the vaccination campaign had begun earlier. |
id |
RCAP_e8fc769a1f181f2be08b40c48d377acb |
---|---|
oai_identifier_str |
oai:ria.ua.pt:10773/24531 |
network_acronym_str |
RCAP |
network_name_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository_id_str |
https://opendoar.ac.uk/repository/7160 |
spelling |
A cholera mathematical model with vaccination and the biggest outbreak ofworld’s historyMathematical modelingSITRVB cholera modelLocal asymptotic stabilityVaccination treatmentYemen cholera outbreakWe propose and analyse a mathematical model for cholera considering vaccination. We show that the model is epidemiologically and mathematically well posed and prove the existence and uniqueness of disease-free and endemic equilibrium points. The basic reproduction number is determined and the local asymptotic stability of equilibria is studied. The biggest cholera outbreak of world’s history began on 27th April 2017, in Yemen. Between 27th April 2017 and 15th April 2018 there were 2 275 deaths due to this epidemic. A vaccination campaign began on 6th May 2018 and ended on 15th May 2018. We show that our model is able to describe well this outbreak. Moreover, we prove that the number of infected individuals would have been much lower provided the vaccination campaign had begun earlier.AIMS Press2018-10-31T10:19:41Z2018-10-19T00:00:00Z2018-10-19info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/24531eng10.3934/Math.2018.4.448Lemos-Paião, Ana P.Silva, Cristiana J.Torres, Delfim F. M.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-06T04:17:31Zoai:ria.ua.pt:10773/24531Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:03:17.267658Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
A cholera mathematical model with vaccination and the biggest outbreak ofworld’s history |
title |
A cholera mathematical model with vaccination and the biggest outbreak ofworld’s history |
spellingShingle |
A cholera mathematical model with vaccination and the biggest outbreak ofworld’s history Lemos-Paião, Ana P. Mathematical modeling SITRVB cholera model Local asymptotic stability Vaccination treatment Yemen cholera outbreak |
title_short |
A cholera mathematical model with vaccination and the biggest outbreak ofworld’s history |
title_full |
A cholera mathematical model with vaccination and the biggest outbreak ofworld’s history |
title_fullStr |
A cholera mathematical model with vaccination and the biggest outbreak ofworld’s history |
title_full_unstemmed |
A cholera mathematical model with vaccination and the biggest outbreak ofworld’s history |
title_sort |
A cholera mathematical model with vaccination and the biggest outbreak ofworld’s history |
author |
Lemos-Paião, Ana P. |
author_facet |
Lemos-Paião, Ana P. Silva, Cristiana J. Torres, Delfim F. M. |
author_role |
author |
author2 |
Silva, Cristiana J. Torres, Delfim F. M. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Lemos-Paião, Ana P. Silva, Cristiana J. Torres, Delfim F. M. |
dc.subject.por.fl_str_mv |
Mathematical modeling SITRVB cholera model Local asymptotic stability Vaccination treatment Yemen cholera outbreak |
topic |
Mathematical modeling SITRVB cholera model Local asymptotic stability Vaccination treatment Yemen cholera outbreak |
description |
We propose and analyse a mathematical model for cholera considering vaccination. We show that the model is epidemiologically and mathematically well posed and prove the existence and uniqueness of disease-free and endemic equilibrium points. The basic reproduction number is determined and the local asymptotic stability of equilibria is studied. The biggest cholera outbreak of world’s history began on 27th April 2017, in Yemen. Between 27th April 2017 and 15th April 2018 there were 2 275 deaths due to this epidemic. A vaccination campaign began on 6th May 2018 and ended on 15th May 2018. We show that our model is able to describe well this outbreak. Moreover, we prove that the number of infected individuals would have been much lower provided the vaccination campaign had begun earlier. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-10-31T10:19:41Z 2018-10-19T00:00:00Z 2018-10-19 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/24531 |
url |
http://hdl.handle.net/10773/24531 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.3934/Math.2018.4.448 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
AIMS Press |
publisher.none.fl_str_mv |
AIMS Press |
dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
instname_str |
FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
_version_ |
1833594251758272512 |