COVID-19 in socially vulnerable quilombola populations in Salvaterra, Pará, Eastern Amazon, Brazil
Introduction: COVID-19 is a severe respiratory syndrome caused by the SARS-CoV-2 virus. In Brazil the highest infection rates are associated with socially vulnerable populations. This study therefore sought to analyze the spatial distribution of the disease and its relation with geographic, socioec...
Saved in:
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Journal of Infection in Developing Countries
2021-08-01
|
| Series: | Journal of Infection in Developing Countries |
| Subjects: | |
| Online Access: | https://jidc.org/index.php/journal/article/view/14420 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850193172387332096 |
|---|---|
| author | Nelson Veiga Gonçalves João Simão de Melo Neto Selma Kazumi da Trindade Noguchi Andrey Silva Machado Alcindo da Silva Martins Junior Maira Cibelle da Silva Peixoto Alba Lúcia Ribeiro Raithy Camylle Maia Costa Faria Tainara Carvalho Garcia Miranda Filgueiras Alex Baima Amaral Júnior Claudia do Socorro Carvalho Miranda |
| author_facet | Nelson Veiga Gonçalves João Simão de Melo Neto Selma Kazumi da Trindade Noguchi Andrey Silva Machado Alcindo da Silva Martins Junior Maira Cibelle da Silva Peixoto Alba Lúcia Ribeiro Raithy Camylle Maia Costa Faria Tainara Carvalho Garcia Miranda Filgueiras Alex Baima Amaral Júnior Claudia do Socorro Carvalho Miranda |
| author_sort | Nelson Veiga Gonçalves |
| collection | DOAJ |
| description |
Introduction: COVID-19 is a severe respiratory syndrome caused by the SARS-CoV-2 virus. In Brazil the highest infection rates are associated with socially vulnerable populations. This study therefore sought to analyze the spatial distribution of the disease and its relation with geographic, socioeconomic and public health policy characteristics associated with quilombola communities in Salvaterra municipality, state of Pará, for the period of March to September, 2020.
Methodology: This cross-sectional and ecological study used data from the Disease Notification System and the National Registry of Health Establishments of the Ministry of Health, the Income Transfer Registry of the Ministry of Citizenship and the 2010 census of the Brazilian Institute of Geography and Statistics. Statistical and spatial analysis of the data was done through percentages of cases and Flow and Kernel map techniques.
Results: Seventy-five notified cases of COVID-19 distributed among 7 quilombola communities in the municipality were analyzed. The epidemiological profile followed a national trend, with a higher percentage of cases among persons who were female, adults with low schooling levels, working as family farmers and with an outcome ending in recovery. The spatial distribution of the disease was not homogenous and showed clusters of cases and high incidence rates, especially in communities close to the municipal seat or to highways.
Conclusions: The use of data analysis techniques was satisfactory for providing an understanding of the socioeconomic production of the disease in the areas studied. Accordingly, the need for intensifying epidemiological survey actions in the quilombola communities of the municipality is emphasized.
|
| format | Article |
| id | doaj-art-fda7c337490a4b73a4346d7b1ed47bce |
| institution | OA Journals |
| issn | 1972-2680 |
| language | English |
| publishDate | 2021-08-01 |
| publisher | The Journal of Infection in Developing Countries |
| record_format | Article |
| series | Journal of Infection in Developing Countries |
| spelling | doaj-art-fda7c337490a4b73a4346d7b1ed47bce2025-08-20T02:14:20ZengThe Journal of Infection in Developing CountriesJournal of Infection in Developing Countries1972-26802021-08-01150810.3855/jidc.14420COVID-19 in socially vulnerable quilombola populations in Salvaterra, Pará, Eastern Amazon, BrazilNelson Veiga Gonçalves0João Simão de Melo Neto1Selma Kazumi da Trindade Noguchi2Andrey Silva Machado3Alcindo da Silva Martins Junior4Maira Cibelle da Silva Peixoto5Alba Lúcia Ribeiro Raithy6Camylle Maia Costa Faria7Tainara Carvalho Garcia Miranda Filgueiras8Alex Baima Amaral Júnior9Claudia do Socorro Carvalho Miranda10Laboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, BrazilHealth Sciences Institute, Federal University of Pará, Belém, Pará, BrazilLaboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, BrazilHigher School for Amazon Studies, Belém, Pará, BrazilLaboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, BrazilLaboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, BrazilLaboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, BrazilLaboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, BrazilLaboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, BrazilLaboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, BrazilLaboratory of Epidemiology and Geoprocessing, Department of Community Health, Center for Biological and Health Sciences, Pará State University, Belém, Pará, Brazil Introduction: COVID-19 is a severe respiratory syndrome caused by the SARS-CoV-2 virus. In Brazil the highest infection rates are associated with socially vulnerable populations. This study therefore sought to analyze the spatial distribution of the disease and its relation with geographic, socioeconomic and public health policy characteristics associated with quilombola communities in Salvaterra municipality, state of Pará, for the period of March to September, 2020. Methodology: This cross-sectional and ecological study used data from the Disease Notification System and the National Registry of Health Establishments of the Ministry of Health, the Income Transfer Registry of the Ministry of Citizenship and the 2010 census of the Brazilian Institute of Geography and Statistics. Statistical and spatial analysis of the data was done through percentages of cases and Flow and Kernel map techniques. Results: Seventy-five notified cases of COVID-19 distributed among 7 quilombola communities in the municipality were analyzed. The epidemiological profile followed a national trend, with a higher percentage of cases among persons who were female, adults with low schooling levels, working as family farmers and with an outcome ending in recovery. The spatial distribution of the disease was not homogenous and showed clusters of cases and high incidence rates, especially in communities close to the municipal seat or to highways. Conclusions: The use of data analysis techniques was satisfactory for providing an understanding of the socioeconomic production of the disease in the areas studied. Accordingly, the need for intensifying epidemiological survey actions in the quilombola communities of the municipality is emphasized. https://jidc.org/index.php/journal/article/view/14420COVID-19EpidemiologyQuilombolaSocial Vulnerability |
| spellingShingle | Nelson Veiga Gonçalves João Simão de Melo Neto Selma Kazumi da Trindade Noguchi Andrey Silva Machado Alcindo da Silva Martins Junior Maira Cibelle da Silva Peixoto Alba Lúcia Ribeiro Raithy Camylle Maia Costa Faria Tainara Carvalho Garcia Miranda Filgueiras Alex Baima Amaral Júnior Claudia do Socorro Carvalho Miranda COVID-19 in socially vulnerable quilombola populations in Salvaterra, Pará, Eastern Amazon, Brazil Journal of Infection in Developing Countries COVID-19 Epidemiology Quilombola Social Vulnerability |
| title | COVID-19 in socially vulnerable quilombola populations in Salvaterra, Pará, Eastern Amazon, Brazil |
| title_full | COVID-19 in socially vulnerable quilombola populations in Salvaterra, Pará, Eastern Amazon, Brazil |
| title_fullStr | COVID-19 in socially vulnerable quilombola populations in Salvaterra, Pará, Eastern Amazon, Brazil |
| title_full_unstemmed | COVID-19 in socially vulnerable quilombola populations in Salvaterra, Pará, Eastern Amazon, Brazil |
| title_short | COVID-19 in socially vulnerable quilombola populations in Salvaterra, Pará, Eastern Amazon, Brazil |
| title_sort | covid 19 in socially vulnerable quilombola populations in salvaterra para eastern amazon brazil |
| topic | COVID-19 Epidemiology Quilombola Social Vulnerability |
| url | https://jidc.org/index.php/journal/article/view/14420 |
| work_keys_str_mv | AT nelsonveigagoncalves covid19insociallyvulnerablequilombolapopulationsinsalvaterraparaeasternamazonbrazil AT joaosimaodemeloneto covid19insociallyvulnerablequilombolapopulationsinsalvaterraparaeasternamazonbrazil AT selmakazumidatrindadenoguchi covid19insociallyvulnerablequilombolapopulationsinsalvaterraparaeasternamazonbrazil AT andreysilvamachado covid19insociallyvulnerablequilombolapopulationsinsalvaterraparaeasternamazonbrazil AT alcindodasilvamartinsjunior covid19insociallyvulnerablequilombolapopulationsinsalvaterraparaeasternamazonbrazil AT mairacibelledasilvapeixoto covid19insociallyvulnerablequilombolapopulationsinsalvaterraparaeasternamazonbrazil AT albaluciaribeiroraithy covid19insociallyvulnerablequilombolapopulationsinsalvaterraparaeasternamazonbrazil AT camyllemaiacostafaria covid19insociallyvulnerablequilombolapopulationsinsalvaterraparaeasternamazonbrazil AT tainaracarvalhogarciamirandafilgueiras covid19insociallyvulnerablequilombolapopulationsinsalvaterraparaeasternamazonbrazil AT alexbaimaamaraljunior covid19insociallyvulnerablequilombolapopulationsinsalvaterraparaeasternamazonbrazil AT claudiadosocorrocarvalhomiranda covid19insociallyvulnerablequilombolapopulationsinsalvaterraparaeasternamazonbrazil |