Inpatient flow for Covid-19 in the Brazilian health regions
Datos Bibliográficos
| ID | 5333565 |
|---|---|
| Autores | Everton Nunes Da Silva (0000-0001-8747-4185, Universidade de Brasília), Fabio Renan Galvão Soares (0000-0001-8244-1800, Fundação Oswaldo Cruz), Gustavo Saraiva Frio (0000-0001-6453-312X, Universidade de Brasília), Aimê Oliveira (0000-0002-3084-6491, Universidade de Brasília), Francisca Verônica Cavalcante (0000-0002-8706-0457, Universidade de Brasília), Natália Regina Alves Vaz Martins (0000-0003-1162-8795, Universidade de Brasília), Natália Regina Alves Vaz Matins (Universidade de Brasília), Klébya Hellen Dantas De Oliveira (0000-0002-3600-4009, Universidade de Brasília), Leonor Maria Pacheco Santos (0000-0002-6739-6260, Universidade de Brasília) |
| Año | 2021 |
| Volumen | 45 |
| Número | 131 |
| Páginas | 1111-1125 |
| Fecha de publicación | 2021-01-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Saúde em Debate (JOURNAL) |
| Identificadores de la revista | ISSN: 0103-1104 • E-ISSN: 2358-2898 |
| Editorial | FapUNIFESP (SciELO) (PUBLISHER) |
| DOI | 10.1590/0103-1104202113113i |
| OpenAlex | W3194004234 |
| SCIELO_PID | S0103-11042021000401111 |
| Idioma | EN |
| Citas recibidas | 2 |
| Referencias citadas | 13 |
The study aims to investigate the flows of Covid-19 hospitalizations in the 450 Brazilian health regions and 117 health macro-regions between March and October 2020. This descriptive study includes all Covid-19 hospitalizations registered in the Influenza Epidemiological Surveillance Information System between the eighth and forty-fourth epidemiological weeks of 2020. In Brazil, 397,830 admissions were identified for Covid-19. Emigration was 11.9% for residents in health regions and 6.8% in macro-regions; this pattern was also maintained during the peak period of Covid-19 hospitalizations. The average evasion for residents of health regions was 17.6% in the Northeast and 8.8% in the South. Evasion was more accentuated in health regions with up to 100 thousand inhabitants(36.9%), which was 7 times greater than that observed in health regions with more than 2 million inhabitants (5.2%). The negative migratory efficacy indicator (-0.39) revealed a predominance of evasion. Of the 450 Brazilian health regions, 117 (39.3%) had a coefficient of migratory efficacy between-1 and-0.75, and 113 (25.1%) between-0.75 and-0.25. Results indicate that the regionalization of the health system exhibited adequate organization of healthcare in the territory; however, the long distances traveled are still worrisome
2019-20 coronavirus outbreak · Coronavirus disease 2019 (COVID-19) · Disease · Infectious disease (medical specialty) · Outbreak · Pandemic · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) · Health, Nursing, Elderly Care · Internal Medicine · Medicine · Virology
Fragmented health systems in Covid-19
Are high-performing health systems resilient against the Covid-19 epidemic?
Characteristics of and Important Lessons From the Coronavirus Disease 2019 (Covid-19) Outbreak in China
Sus
Políticas de saúde e lacunas federativas no Brasil
Utilização de serviços de saúde de atenção básica em municípios da metade sul do Rio Grande do Sul
Hospitalization flow in the public and private systems in the state of Sao Paulo, Brazil
Acesso à assistência oncológica
Pandemia por Covid-19 no Brasil
As Regiões de Saúde no Brasil segundo internações
SRAG por Covid-19 no Brasil
| Obras citantes distintas | 2 |
|---|---|
| Citas por año | 0,5 |
| Intervalo de citas | 2022 - 2025 (4) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 2 |