| Author | Kerr, Ligia Regina Franco Sansigolo | |
| Author | KendallI, Carl | |
| Author | Almeida, Rosa Lívia Freitas de | |
| Author | Ichihara, Maria Yury | |
| Author | Aquino, Estela Maria L. | |
| Author | Silva, Antônio Augusto Moura da | |
| Author | Ximenes, Ricardo Arraes de Alencar | |
| Author | Albuquerque, Maria de Fatima Pessoa Militão de | |
| Author | Almeida Filho, Naomar | |
| Author | Souza, Rafael Felipe | |
| Author | Brandão Filho, Sinval Pinto | |
| Author | Souza, Wayner Vieira de | |
| Author | Barreto, Maurício Lima | |
| Access date | 2021-08-16T12:04:22Z | |
| Available date | 2021-08-16T12:04:22Z | |
| Document date | 2021 | |
| Citation | KERR, Ligia Regina Franco Sansigolo et al. COVID-19 in northeast Brazil: first year of the pandemic and uncertainties to come. Revista de Saúde Pública, v. 55, p. 1-10, 2021. | pt_BR |
| ISSN | 0034-8910 | pt_BR |
| URI | https://www.arca.fiocruz.br/handle/icict/48627 | |
| Language | eng | pt_BR |
| Publisher | Universidade de São Paulo, Faculdade de Saúde Pública. | pt_BR |
| Rights | open access | pt_BR |
| Subject in Portuguese | Infecções por Coronavírus | pt_BR |
| Subject in Portuguese | Epidemiologia | pt_BR |
| Subject in Portuguese | Doenças transmissíveis emergentes | pt_BR |
| Subject in Portuguese | Prevenção e controle | pt_BR |
| Subject in Portuguese | Pandemia | pt_BR |
| Subject in Portuguese | Epidemiologia Descritiva | pt_BR |
| Subject in Portuguese | COVID-19 | pt_BR |
| Title | COVID-19 in northeast Brazil: first year of the pandemic and uncertainties to come | pt_BR |
| Type | Article | pt_BR |
| DOI | 10.11606/s1518-8787.2021055003728 | pt_BR |
| Abstract | OBJECTIVE: To analyze the epidemic of COVID-19 in northeastern Brazil, one of the regions
most affected by the virus.
METHODS: The official data for COVID-19, from March 2020 to March 2021 in the states of
the Northeast Region (NE), were used. The analysis of capital cities and states for accumulated
weekly cases and confirmed deaths was made using the JoinPoint Trend Analysis application.
RESULTS: In one year, the Northeast region reported 22.9% of the cases and 21.5% of the deaths
in the country due to COVID-19. At the beginning of the pandemic, all states showed a growing
number of cases, first in the capitals and then in the interior. Following this wave, decreases
are observed in all states and their capitals, but with many still reporting a large number of
cases. In the middle of the 2nd semester of 2020 the number of cases begins to increase again
simultaneously in states and their capitals—some at explosive speed—especially in late 2020
and early 2021. A similar pattern is observed in deaths, which exceed or approach the peak seen
in the first wave. In the first wave, all capitals and northeastern states adopted intense isolation
measures. Fortaleza, Recife and Teresina reached the highest isolation index of all capitals, close
to 0.60. This index decreases, with a slight growth trend until the end of December. With the
exception of Fortaleza and Salvador, the other capitals fell to less than 0.40.
CONCLUSION: The Brazilian NE and the country are in increasingly complicated health,
social and economic situations. It is necessary to speed up vaccinations and maintain nonpharmacological
measures: face masks, social distancing measures and hygiene care, in addition
to policies to protect workers who have lost their incomes and to subsidize small business owners. | pt_BR |
| Affilliation | Universidade Federal do Ceará. Faculdade de Medicina. Departamento de Saúde Comunitária. Programa de Pós-Graduação em Saúde Coletiva. Fortaleza, CE, Brasil. | pt_BR |
| Affilliation | Universidade Federal do Ceará. Faculdade de Medicina. Departamento de Saúde Comunitária. Programa de Pós-Graduação em Saúde Coletiva. Fortaleza, CE, Brasil / Tulane University School of Public Health and Tropical Medicine. New Orleans, USA. | pt_BR |
| Affilliation | Universidade de Fortaleza. Programa de pós-graduação em Saúde Coletiva. Fortaleza, CE, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil. | pt_BR |
| Affilliation | Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil. | pt_BR |
| Affilliation | Universidade Federal do Maranhão. Centro de Ciências da Saúde. Departamento de Saúde Pública. São Luís, MA, Brasil. | pt_BR |
| Affilliation | Universidade de Pernambuco. Faculdade de Ciências Médicas. Recife, PE, Brasil / Universidade Federal de Pernambuco. Centro de Ciências da Saúde. Recife, PE, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Recife, PE, Brasil. | pt_BR |
| Affilliation | Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Recife, PE, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Recife, PE, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimentos para Saúde. Salvador, BA, Brasil. | pt_BR |
| Subject | Coronavirus Infections | pt_BR |
| Subject | Epidemiology | pt_BR |
| Subject | Communicable Diseases | pt_BR |
| Subject | Emerging | pt_BR |
| Subject | Prevention & control | pt_BR |
| Subject | Pandemics | pt_BR |
| Subject | Epidemiology, Descriptive | pt_BR |
| e-ISSN | 10.11606/s1518- 8787.2021055003728 | |
| xmlui.metadata.dc.subject.ods | 03 Saúde e Bem-Estar | |
