Study of the COVID-19 pandemic trending behavior in Israeli cities
dc.citation.issue | 15 | pt_BR |
dc.citation.volume | 54 | pt_BR |
dc.contributor.author | Paiva, Henrique Mohallem [UNIFESP] | |
dc.contributor.author | Afonso, Rubens Junqueira Magalhães | |
dc.contributor.author | Sanches, Davi Gonçalves | |
dc.contributor.author | Pelogia, Frederico José Ribeiro | |
dc.contributor.authorLattes | http://lattes.cnpq.br/6901974057937430 | pt_BR |
dc.coverage.spatial | Ghent, Belgium | pt_BR |
dc.date.accessioned | 2021-11-18T10:50:57Z | |
dc.date.available | 2021-11-18T10:50:57Z | |
dc.date.issued | 2021-11-02 | |
dc.description.abstract | This paper studies the trending behavior of the COVID-19 dynamics in Israeli cities. The model employed is used to describe, for each city, the accumulated number of cases, the number of cases per day, and the predicted final number of cases. The innovative analysis adopted here is based on the daily evolution of the predicted final number of infections, estimated with data available until a given date. The results discussed here are illustrative for six cities in Israel, including Jerusalem and Tel Aviv. They show that the model employed fits well with the observed data and is able to suitably describe the COVID-19 dynamics in a country strongly impacted by the disease that holds one of the most successful vaccination programs in the world. | pt_BR |
dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | pt_BR |
dc.description.sponsorshipID | 2020/14357-1 | pt_BR |
dc.description.sponsorshipID | 2019/18294-7 | pt_BR |
dc.format.extent | 133-138 | pt_BR |
dc.identifier | https://www.sciencedirect.com/science/article/pii/S2405896321016475 | pt_BR |
dc.identifier.citation | Paiva, H. M., Afonso, R. J. M., Sanches, D. G., and Pelogia, F. J. R. (2021). Study of the COVID-19 pandemic trending behavior in Israeli cities. IFAC-PapersOnLine, 54(15), 133-138. | pt_BR |
dc.identifier.doi | https://doi.org/10.1016/j.ifacol.2021.10.244 | pt_BR |
dc.identifier.uri | https://hdl.handle.net/11600/62253 | |
dc.language | por | pt_BR |
dc.publisher | International Federation of Automatic Control (IFAC) | pt_BR |
dc.relation.ispartof | 11th IFAC Symposium on Biological and Medical Systems BMS 2021 | pt_BR |
dc.rights | info:eu-repo/semantics/openAccess | pt_BR |
dc.subject | COVID-19 | pt_BR |
dc.subject | SARS-CoV-2 | pt_BR |
dc.subject | epidemiology | pt_BR |
dc.subject | mathematical models | pt_BR |
dc.subject | trend analysis | pt_BR |
dc.subject | Israel | pt_BR |
dc.title | Study of the COVID-19 pandemic trending behavior in Israeli cities | pt_BR |
dc.type | info:eu-repo/semantics/article | pt_BR |
unifesp.campus | Instituto de Ciência e Tecnologia (ICT) | pt_BR |
unifesp.departamento | Ciência e Tecnologia | pt_BR |
unifesp.graduacao | Engenharia Biomédica | pt_BR |
unifesp.graduateProgram | Engenharia Biomédica | pt_BR |
unifesp.knowledgeArea | Outra | pt_BR |