Cargando…
The assistance gaps in combating COVID-19 in Brazil: for whom, where and when vaccination occurs
BACKGROUND: Following the emergence of the COVID-19 pandemic, the number of infected Brazilian people has increased dramatically since February 2020, with Brazil being amongst the countries with the highest number of cases and deaths. Brazilian vaccination began in January 2021, aimed at priority gr...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110943/ https://www.ncbi.nlm.nih.gov/pubmed/35581560 http://dx.doi.org/10.1186/s12879-022-07449-5 |
_version_ | 1784709216399785984 |
---|---|
author | Moreira, Rafael da Silveira Costa, Emilly Guaris dos Santos, Lucas Fernando Rodrigues Miranda, Luiz Henrique Lélis de Oliveira, Raiany Rodrigues Romão, Ricardo Fusano Cozer, Rodolfo Ferreira Guedes, Sarah Cavalcanti |
author_facet | Moreira, Rafael da Silveira Costa, Emilly Guaris dos Santos, Lucas Fernando Rodrigues Miranda, Luiz Henrique Lélis de Oliveira, Raiany Rodrigues Romão, Ricardo Fusano Cozer, Rodolfo Ferreira Guedes, Sarah Cavalcanti |
author_sort | Moreira, Rafael da Silveira |
collection | PubMed |
description | BACKGROUND: Following the emergence of the COVID-19 pandemic, the number of infected Brazilian people has increased dramatically since February 2020, with Brazil being amongst the countries with the highest number of cases and deaths. Brazilian vaccination began in January 2021, aimed at priority groups. This study analysed the spatial and temporal evolution of vaccination in Brazil between the 3rd and 21st epidemiological weeks (EW) of 2021. METHODS: Spatial and temporal analyses were performed comprising 19 EW. Cases were structured into priority groups—elderly population (EP); healthcare workers (HW); indigenous and quilombola populations (I/Q), dose, vaccine (CoronaVac or AstraZeneca), and place of vaccination. A sweep test was performed to identify vaccination rate clusters. Vaccination rates (VR) were calculated according to a spatial window for each Health Region, indicating clusters above/below expected VR. Based on the discrete Poisson probability model, spatial analysis was performed to detect high/low VR clusters, which were converted into Kernel maps. Points were generated from SaTScan analyses associated with Health Region centroids. Temporal analysis of VR was carried out to identify significant trends, and results were converted into temporal cluster graphs. P-value ≤ 0.05 was adopted. RESULTS: Southeast region concentrated most of the vaccines of EP and HW, followed by the Northeast. The latter region had the largest contingent of I/Q vaccinated. In all priority age groups and all regions, a higher percentage of complete CoronaVac vaccination schedules were observed compared with AstraZeneca. The temporal analysis identified high VR clusters of CoronaVac first and second dose in the early weeks, except for the EP; of AstraZeneca first dose, only for HW in the early weeks, and for EP and I/Q in the final weeks; of AstraZeneca second dose for all priority groups in the final weeks. I/Q populations had the lowest general VR. The spatial profile of VR indicated significant regional cluster differences between the priority groups. CONCLUSION: This study highlights the importance of establishing vaccination priority groups, considering the asymmetries that a pandemic can trigger, notably in vast geographic areas, to contemplate the main objective of vaccination: to prevent casualties. |
format | Online Article Text |
id | pubmed-9110943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91109432022-05-17 The assistance gaps in combating COVID-19 in Brazil: for whom, where and when vaccination occurs Moreira, Rafael da Silveira Costa, Emilly Guaris dos Santos, Lucas Fernando Rodrigues Miranda, Luiz Henrique Lélis de Oliveira, Raiany Rodrigues Romão, Ricardo Fusano Cozer, Rodolfo Ferreira Guedes, Sarah Cavalcanti BMC Infect Dis Research BACKGROUND: Following the emergence of the COVID-19 pandemic, the number of infected Brazilian people has increased dramatically since February 2020, with Brazil being amongst the countries with the highest number of cases and deaths. Brazilian vaccination began in January 2021, aimed at priority groups. This study analysed the spatial and temporal evolution of vaccination in Brazil between the 3rd and 21st epidemiological weeks (EW) of 2021. METHODS: Spatial and temporal analyses were performed comprising 19 EW. Cases were structured into priority groups—elderly population (EP); healthcare workers (HW); indigenous and quilombola populations (I/Q), dose, vaccine (CoronaVac or AstraZeneca), and place of vaccination. A sweep test was performed to identify vaccination rate clusters. Vaccination rates (VR) were calculated according to a spatial window for each Health Region, indicating clusters above/below expected VR. Based on the discrete Poisson probability model, spatial analysis was performed to detect high/low VR clusters, which were converted into Kernel maps. Points were generated from SaTScan analyses associated with Health Region centroids. Temporal analysis of VR was carried out to identify significant trends, and results were converted into temporal cluster graphs. P-value ≤ 0.05 was adopted. RESULTS: Southeast region concentrated most of the vaccines of EP and HW, followed by the Northeast. The latter region had the largest contingent of I/Q vaccinated. In all priority age groups and all regions, a higher percentage of complete CoronaVac vaccination schedules were observed compared with AstraZeneca. The temporal analysis identified high VR clusters of CoronaVac first and second dose in the early weeks, except for the EP; of AstraZeneca first dose, only for HW in the early weeks, and for EP and I/Q in the final weeks; of AstraZeneca second dose for all priority groups in the final weeks. I/Q populations had the lowest general VR. The spatial profile of VR indicated significant regional cluster differences between the priority groups. CONCLUSION: This study highlights the importance of establishing vaccination priority groups, considering the asymmetries that a pandemic can trigger, notably in vast geographic areas, to contemplate the main objective of vaccination: to prevent casualties. BioMed Central 2022-05-17 /pmc/articles/PMC9110943/ /pubmed/35581560 http://dx.doi.org/10.1186/s12879-022-07449-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Moreira, Rafael da Silveira Costa, Emilly Guaris dos Santos, Lucas Fernando Rodrigues Miranda, Luiz Henrique Lélis de Oliveira, Raiany Rodrigues Romão, Ricardo Fusano Cozer, Rodolfo Ferreira Guedes, Sarah Cavalcanti The assistance gaps in combating COVID-19 in Brazil: for whom, where and when vaccination occurs |
title | The assistance gaps in combating COVID-19 in Brazil: for whom, where and when vaccination occurs |
title_full | The assistance gaps in combating COVID-19 in Brazil: for whom, where and when vaccination occurs |
title_fullStr | The assistance gaps in combating COVID-19 in Brazil: for whom, where and when vaccination occurs |
title_full_unstemmed | The assistance gaps in combating COVID-19 in Brazil: for whom, where and when vaccination occurs |
title_short | The assistance gaps in combating COVID-19 in Brazil: for whom, where and when vaccination occurs |
title_sort | assistance gaps in combating covid-19 in brazil: for whom, where and when vaccination occurs |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110943/ https://www.ncbi.nlm.nih.gov/pubmed/35581560 http://dx.doi.org/10.1186/s12879-022-07449-5 |
work_keys_str_mv | AT moreirarafaeldasilveira theassistancegapsincombatingcovid19inbrazilforwhomwhereandwhenvaccinationoccurs AT costaemillyguaris theassistancegapsincombatingcovid19inbrazilforwhomwhereandwhenvaccinationoccurs AT dossantoslucasfernandorodrigues theassistancegapsincombatingcovid19inbrazilforwhomwhereandwhenvaccinationoccurs AT mirandaluizhenriquelelis theassistancegapsincombatingcovid19inbrazilforwhomwhereandwhenvaccinationoccurs AT deoliveiraraianyrodrigues theassistancegapsincombatingcovid19inbrazilforwhomwhereandwhenvaccinationoccurs AT romaoricardofusano theassistancegapsincombatingcovid19inbrazilforwhomwhereandwhenvaccinationoccurs AT cozerrodolfoferreira theassistancegapsincombatingcovid19inbrazilforwhomwhereandwhenvaccinationoccurs AT guedessarahcavalcanti theassistancegapsincombatingcovid19inbrazilforwhomwhereandwhenvaccinationoccurs AT moreirarafaeldasilveira assistancegapsincombatingcovid19inbrazilforwhomwhereandwhenvaccinationoccurs AT costaemillyguaris assistancegapsincombatingcovid19inbrazilforwhomwhereandwhenvaccinationoccurs AT dossantoslucasfernandorodrigues assistancegapsincombatingcovid19inbrazilforwhomwhereandwhenvaccinationoccurs AT mirandaluizhenriquelelis assistancegapsincombatingcovid19inbrazilforwhomwhereandwhenvaccinationoccurs AT deoliveiraraianyrodrigues assistancegapsincombatingcovid19inbrazilforwhomwhereandwhenvaccinationoccurs AT romaoricardofusano assistancegapsincombatingcovid19inbrazilforwhomwhereandwhenvaccinationoccurs AT cozerrodolfoferreira assistancegapsincombatingcovid19inbrazilforwhomwhereandwhenvaccinationoccurs AT guedessarahcavalcanti assistancegapsincombatingcovid19inbrazilforwhomwhereandwhenvaccinationoccurs |