Simulating immunization campaigns and vaccine protection against COVID-19 pandemic in Brazil

Página do item simplificado
dc.contributor.authorAmaral, Fabio [UNESP]
dc.contributor.authorCasaca, Wallace [UNESP]
dc.contributor.authorOishi, Cassio M. [UNESP]
dc.contributor.authorCuminato, Jose A.
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2022-04-28T19:44:21Z
dc.date.available2022-04-28T19:44:21Z
dc.date.issued2021-01-01
dc.description.abstractThe vaccine roll-out has currently established a new trend in the fight against COVID-19. In many countries, as vaccination cover rises, the economic and social disruptions are being progressively reduced, bringing more confidence and hope to the population. However, a crucial debate is related to fair access to vaccines, which would lead to stepping up the pace of vaccination in developing countries. Another important issue is how immunization has influenced the control of the infection, deaths, and transmissibility of the new coronavirus in these countries. In this work, we investigate the effects of the rate of vaccination on the COVID-19 epidemic curves, by employing a new data-driven methodology, formulated on the basis of a modified Susceptible-Infected-Recovered model and Machine Learning designs. The data-driven methodology is applied to assess the influence of the vaccines administered in Brazil on the fight against the virus. The impacts of vaccine efficacy and immunization speed are also investigated in our study. Finally, we have found that the use of anti-SARS-CoV-2 vaccines with a low/moderate efficacy can be offset by immunizing a larger proportion of the population more quickly.en
dc.description.affiliationFaculty of Science and Technology São Paulo State University (UNESP)
dc.description.affiliationDepartment of Energy Engineering São Paulo State University (UNESP)
dc.description.affiliationInstitute of Mathematics and Computer Sciences University of São Paulo (USP)
dc.description.affiliationUnespFaculty of Science and Technology São Paulo State University (UNESP)
dc.description.affiliationUnespDepartment of Energy Engineering São Paulo State University (UNESP)
dc.format.extent126011-126022
dc.identifierhttp://dx.doi.org/10.1109/ACCESS.2021.3112036
dc.identifier.citationIEEE Access, v. 9, p. 126011-126022.
dc.identifier.doi10.1109/ACCESS.2021.3112036
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85114727530
dc.identifier.urihttp://hdl.handle.net/11449/222390
dc.language.isoeng
dc.relation.ispartofIEEE Access
dc.sourceScopus
dc.subjectartificial intelligence
dc.subjectCOVID-19
dc.subjectdata-driven
dc.subjectSIR
dc.subjectvaccination
dc.titleSimulating immunization campaigns and vaccine protection against COVID-19 pandemic in Brazilen
dc.typeArtigo
unesp.author.orcid0000-0001-6945-8376[1]
unesp.author.orcid0000-0002-1073-9939[2]
unesp.author.orcid0000-0002-0904-6561[3]
unesp.author.orcid0000-0002-5461-6463[4]

Arquivos

Coleções

Artigos