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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Berra, Thaís Zamboni Alves, Yan Mathias Popolin, Marcela Antunes Paschoal da Costa, Fernanda Bruzadelli Paulino Tavares, Reginaldo Bazon Vaz Tártaro, Ariela Feh Moura, Heriederson Sávio Dias Ferezin, Letícia Perticarrara de Campos, Monica Chiodi Toscano Ribeiro, Natacha Martins Teibo, Titilade Kehinde Ayandeyi Rosa, Rander Junior Arcêncio, Ricardo Alexandre |
| Abstract | Objective To assess the evolution of the COVID-19 pandemic in Brazil and its macro-regions, considering disease incidence and mortality rates, as well as identifying territories with still rising disease indices and evaluating vaccine coverage and population adherence to COVID-19 immunization. Methods An ecological study conducted in Brazil with COVID-19 cases and deaths reported between February 2020 and April 2024, obtained through the Coronavirus Panel. Historical series were constructed from incidence and mortality rates to assess the pandemic’s evolution, and temporal trends were estimated using the Seasonal Trend Decomposition using Loess (STL) method. The Spatial Variation in Temporal Trends (SVTT) technique was employed to identify clusters with significant variations in temporal trends. Vaccination was analyzed considering the percentage of vaccinated and unvaccinated population in each municipality of the country. Results Brazil recorded a total of 38,795,966 cases and 712,038 deaths from COVID-19 during the study period. Incidence and mortality rates showed three waves of the disease, with a fourth wave of smaller amplitude. Four clusters with significant case growth and two with increased deaths were identified. Vaccine coverage varied among municipalities, with some regions showing low vaccination rates and others with high immunization adherence. Conclusion The study provided a comprehensive overview of coronavirus behavior in Brazil, and its results highlight the ongoing importance of vaccination and the need to direct efforts and resources to areas of higher risk. |
| Related Links | https://bmcinfectdis.biomedcentral.com/counter/pdf/10.1186/s12879-024-09598-1.pdf |
| Ending Page | 12 |
| Page Count | 12 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14712334 |
| DOI | 10.1186/s12879-024-09598-1 |
| Journal | BMC Infectious Diseases |
| Issue Number | 1 |
| Volume Number | 24 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-07-18 |
| Access Restriction | Open |
| Subject Keyword | Infectious Diseases Parasitology Medical Microbiology Tropical Medicine Internal Medicine COVID-19 Time Series Analysis Spatial analysis Real World evidence |
| Content Type | Text |
| Resource Type | Article |
| Subject | Infectious Diseases |
| Journal Impact Factor | 3.4/2023 |
| 5-Year Journal Impact Factor | 3.3/2023 |
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