The Effects of Vaccination on Covid-19 Dynamics in Brazil: A Fuzzy Approach
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Archives of Biology and Technology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132022000100332 |
Resumo: | Abstract The COVID-19 pandemic has spread widely through the world, since 2019. Then, the search for vaccines has become fundamental against the disease and has generated great expectations on population. In Brazil, the first case of COVID-19 was registered in February 2020 and the process of vaccination started in early 2021. In this context, considering the advance of vaccination and the behavior of epidemics, we present a study on the effect of population-wide vaccination on the evolution of the COVID-19 epidemic. To this end, we propose a new fuzzy system in order to model the COVID-19 epidemic evolution under the effect of vaccination in Brazil. This proposed model consists of a p-fuzzy system, where the input variables are the infected population and the vaccination rate. The output variable is the level of infection. Results of the proposed fuzzy system show that the level of infestation tends to decrease as the number of people vaccinated increases. Therefore, the population-wide vaccination strategy clearly contributes to suppressing the growth of the disease and to mitigating its impacts on society, including saving lives. |
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The Effects of Vaccination on Covid-19 Dynamics in Brazil: A Fuzzy Approachfuzzy modelepidemic dynamicCOVID-19effect of vaccinationAbstract The COVID-19 pandemic has spread widely through the world, since 2019. Then, the search for vaccines has become fundamental against the disease and has generated great expectations on population. In Brazil, the first case of COVID-19 was registered in February 2020 and the process of vaccination started in early 2021. In this context, considering the advance of vaccination and the behavior of epidemics, we present a study on the effect of population-wide vaccination on the evolution of the COVID-19 epidemic. To this end, we propose a new fuzzy system in order to model the COVID-19 epidemic evolution under the effect of vaccination in Brazil. This proposed model consists of a p-fuzzy system, where the input variables are the infected population and the vaccination rate. The output variable is the level of infection. Results of the proposed fuzzy system show that the level of infestation tends to decrease as the number of people vaccinated increases. Therefore, the population-wide vaccination strategy clearly contributes to suppressing the growth of the disease and to mitigating its impacts on society, including saving lives.Instituto de Tecnologia do Paraná - Tecpar2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132022000100332Brazilian Archives of Biology and Technology v.65 2022reponame:Brazilian Archives of Biology and Technologyinstname:Instituto de Tecnologia do Paraná (Tecpar)instacron:TECPAR10.1590/1678-4324-2022220185info:eu-repo/semantics/openAccessStiegelmeier,Elenice WeberBressan,Glaucia MariaMartinez,André Luis Machadoeng2022-08-18T00:00:00Zoai:scielo:S1516-89132022000100332Revistahttps://www.scielo.br/j/babt/https://old.scielo.br/oai/scielo-oai.phpbabt@tecpar.br||babt@tecpar.br1678-43241516-8913opendoar:2022-08-18T00:00Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar)false |
dc.title.none.fl_str_mv |
The Effects of Vaccination on Covid-19 Dynamics in Brazil: A Fuzzy Approach |
title |
The Effects of Vaccination on Covid-19 Dynamics in Brazil: A Fuzzy Approach |
spellingShingle |
The Effects of Vaccination on Covid-19 Dynamics in Brazil: A Fuzzy Approach Stiegelmeier,Elenice Weber fuzzy model epidemic dynamic COVID-19 effect of vaccination |
title_short |
The Effects of Vaccination on Covid-19 Dynamics in Brazil: A Fuzzy Approach |
title_full |
The Effects of Vaccination on Covid-19 Dynamics in Brazil: A Fuzzy Approach |
title_fullStr |
The Effects of Vaccination on Covid-19 Dynamics in Brazil: A Fuzzy Approach |
title_full_unstemmed |
The Effects of Vaccination on Covid-19 Dynamics in Brazil: A Fuzzy Approach |
title_sort |
The Effects of Vaccination on Covid-19 Dynamics in Brazil: A Fuzzy Approach |
author |
Stiegelmeier,Elenice Weber |
author_facet |
Stiegelmeier,Elenice Weber Bressan,Glaucia Maria Martinez,André Luis Machado |
author_role |
author |
author2 |
Bressan,Glaucia Maria Martinez,André Luis Machado |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Stiegelmeier,Elenice Weber Bressan,Glaucia Maria Martinez,André Luis Machado |
dc.subject.por.fl_str_mv |
fuzzy model epidemic dynamic COVID-19 effect of vaccination |
topic |
fuzzy model epidemic dynamic COVID-19 effect of vaccination |
description |
Abstract The COVID-19 pandemic has spread widely through the world, since 2019. Then, the search for vaccines has become fundamental against the disease and has generated great expectations on population. In Brazil, the first case of COVID-19 was registered in February 2020 and the process of vaccination started in early 2021. In this context, considering the advance of vaccination and the behavior of epidemics, we present a study on the effect of population-wide vaccination on the evolution of the COVID-19 epidemic. To this end, we propose a new fuzzy system in order to model the COVID-19 epidemic evolution under the effect of vaccination in Brazil. This proposed model consists of a p-fuzzy system, where the input variables are the infected population and the vaccination rate. The output variable is the level of infection. Results of the proposed fuzzy system show that the level of infestation tends to decrease as the number of people vaccinated increases. Therefore, the population-wide vaccination strategy clearly contributes to suppressing the growth of the disease and to mitigating its impacts on society, including saving lives. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132022000100332 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132022000100332 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4324-2022220185 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto de Tecnologia do Paraná - Tecpar |
publisher.none.fl_str_mv |
Instituto de Tecnologia do Paraná - Tecpar |
dc.source.none.fl_str_mv |
Brazilian Archives of Biology and Technology v.65 2022 reponame:Brazilian Archives of Biology and Technology instname:Instituto de Tecnologia do Paraná (Tecpar) instacron:TECPAR |
instname_str |
Instituto de Tecnologia do Paraná (Tecpar) |
instacron_str |
TECPAR |
institution |
TECPAR |
reponame_str |
Brazilian Archives of Biology and Technology |
collection |
Brazilian Archives of Biology and Technology |
repository.name.fl_str_mv |
Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar) |
repository.mail.fl_str_mv |
babt@tecpar.br||babt@tecpar.br |
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1750318281394225152 |