Temporal trend of incidence and mortality rates from COVID-19 and its relationship with socioeconomic indicators in the state of Piauí, Brazil: ecological study, 2020-2021
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | preprint |
Idioma: | por |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/4590 |
Resumo: | Objective: Analyze the temporal trend of the incidence/mortality by COVID-19 and its relationship with socioeconomic indicators. Methods: Ecological time series study on COVID-19 cases/deaths in municipalities in Piauí, Brazil, between March/2020 and May/2021. Prais-Winsten linear regression model and the Spearman correlation test were used. Results: There were 271.228 cases and 5.888 deaths in the period. There was an increasing trend in the incidence and stability in mortality from COVID-19. The spatiotemporal analyzes showed higher incidence/mortality in the second and fifth quarters of the period. There was no statistically significant correlation between COVID-19 and IVS. Significant correlations between MHDI and incidence (p<0.001) and mortality (p<0.001) by COVID-19 were observed. Conclusion: There was an increasing trend in the incidence of COVID-19 and stability in mortality from disease. There was a moderate and weak correlation of these indicators with MHDI, demanding decisions aimed at improving the population's quality of life in the management spheres. |
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Temporal trend of incidence and mortality rates from COVID-19 and its relationship with socioeconomic indicators in the state of Piauí, Brazil: ecological study, 2020-2021Tendencia temporal de las tasas de incidencia y mortalidad por COVID-19 y su relación con indicadores socioeconómicos en el estado de Piauí, Brasil: estudio ecológico, 2020-202Tendência temporal das taxas de incidência e de mortalidade por COVID-19 e sua relação com indicadores socioeconômicos no Piauí: estudo ecológico, 2020-2021Análise de VulnerabilidadeCOVID-19Estudos de Séries TemporaisIndicadores de Desigualdade em SaúdeMonitoramento EpidemiológicoVulnerability AnalysisCovid-19Time Series StudiesHealth Inequality IndicatorsEpidemiological MonitoringAnálisis de VulnerabilidadCovid-19Estudios de Series TemporalesIndicadores de Desigualdad en SaludMonitoreo Epidemiológico.Objective: Analyze the temporal trend of the incidence/mortality by COVID-19 and its relationship with socioeconomic indicators. Methods: Ecological time series study on COVID-19 cases/deaths in municipalities in Piauí, Brazil, between March/2020 and May/2021. Prais-Winsten linear regression model and the Spearman correlation test were used. Results: There were 271.228 cases and 5.888 deaths in the period. There was an increasing trend in the incidence and stability in mortality from COVID-19. The spatiotemporal analyzes showed higher incidence/mortality in the second and fifth quarters of the period. There was no statistically significant correlation between COVID-19 and IVS. Significant correlations between MHDI and incidence (p<0.001) and mortality (p<0.001) by COVID-19 were observed. Conclusion: There was an increasing trend in the incidence of COVID-19 and stability in mortality from disease. There was a moderate and weak correlation of these indicators with MHDI, demanding decisions aimed at improving the population's quality of life in the management spheres.Objetivo: Analizar la tendencia temporal de la incidencia/mortalidad por COVID-19 y su relación con indicadores socioeconómicos. Métodos: Estudio de serie temporal ecológica de casos/muertes por COVID-19 en municipios de Piauí, Brasil, entre marzo/2020 y mayo/2021. Se utilizó el modelo de regresión lineal de Prais-Winsten y la prueba de correlación de Spearman. Resultados: Hubo 271.228 casos y 5.888 defunciones en período. Hubo una tendencia creciente en incidencia y estabilidad en mortalidad por COVID-19. Los análisis espacio-temporales mostraron mayor incidencia/mortalidad en segundo/quinto trimestre del período. No hubo una correlación estadísticamente significativa entre COVID-19 y IVS. Se observaron correlaciones significativas entre IDHM y incidencia (p<0,001) y mortalidad (p<0,001) por COVID19. Conclusión: Hubo una tendencia creciente en la incidencia de COVID-19 y estabilidad en mortalidad por la enfermedad. Hubo correlación moderada y débil de estos indicadores con IDHM, exigiendo decisiones encaminadas a mejorar la calidad de vida de la población en los ámbitos de gestión.Objetivo: Analisar a tendência temporal das taxas de incidência e de mortalidade por COVID-19 e sua relação com indicadores socioeconômicos. Métodos: Estudo ecológico de série temporal sobre casos/óbitos por COVID-19 em municípios do Piauí, Brasil, março/2020-maio/2021. Utilizou-se o modelo de regressão linear de Prais-Winsten e o teste de correlação de Spearman. Resultados: Houve 271.228 casos e 5.888 óbitos, com tendência crescente na incidência e na estabilidade da mortalidade por COVID-19. Análises espaço-temporais demonstraram maior incidência/mortalidade no segundo e no quinto trimestres do período. Não houve correlação estatisticamente significativa entre COVID-19 e índice de vulnerabilidade social (IVS). Foram observadas correlações significativas do IDHM com taxas de incidência (p<0,001) e de mortalidade (p<0,001) pela doença. Conclusão: Houve tendência crescente na taxa de incidência e estabilidade na mortalidade por COVID-19, e respectivamente correlação moderada e fraca desses indicadores com o IDHM, demandando decisões de gestão voltadas a melhor qualidade de vida da população.SciELO PreprintsSciELO PreprintsSciELO Preprints2022-08-22info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/459010.1590/s1679-49742022000200020porhttps://preprints.scielo.org/index.php/scielo/article/view/4590/8820Copyright (c) 2022 Vanessa Rodrigues da Silva, Edildete Sene Pacheco, Osmar de Oliveira Cardoso, Luisa Helena de Oliveira Lima, Malvina Thaís Pacheco Rodrigues, Márcio Dênis Medeiros Mascarenhashttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Vanessa Rodrigues daPacheco, Edildete SeneCardoso, Osmar de OliveiraLima, Luisa Helena de OliveiraRodrigues, Malvina Thaís PachecoMascarenhas, Márcio Dênis Medeirosreponame:SciELO Preprintsinstname:SciELOinstacron:SCI2022-08-22T13:24:06Zoai:ops.preprints.scielo.org:preprint/4590Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2022-08-22T13:24:06SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
Temporal trend of incidence and mortality rates from COVID-19 and its relationship with socioeconomic indicators in the state of Piauí, Brazil: ecological study, 2020-2021 Tendencia temporal de las tasas de incidencia y mortalidad por COVID-19 y su relación con indicadores socioeconómicos en el estado de Piauí, Brasil: estudio ecológico, 2020-202 Tendência temporal das taxas de incidência e de mortalidade por COVID-19 e sua relação com indicadores socioeconômicos no Piauí: estudo ecológico, 2020-2021 |
title |
Temporal trend of incidence and mortality rates from COVID-19 and its relationship with socioeconomic indicators in the state of Piauí, Brazil: ecological study, 2020-2021 |
spellingShingle |
Temporal trend of incidence and mortality rates from COVID-19 and its relationship with socioeconomic indicators in the state of Piauí, Brazil: ecological study, 2020-2021 Silva, Vanessa Rodrigues da Análise de Vulnerabilidade COVID-19 Estudos de Séries Temporais Indicadores de Desigualdade em Saúde Monitoramento Epidemiológico Vulnerability Analysis Covid-19 Time Series Studies Health Inequality Indicators Epidemiological Monitoring Análisis de Vulnerabilidad Covid-19 Estudios de Series Temporales Indicadores de Desigualdad en Salud Monitoreo Epidemiológico. |
title_short |
Temporal trend of incidence and mortality rates from COVID-19 and its relationship with socioeconomic indicators in the state of Piauí, Brazil: ecological study, 2020-2021 |
title_full |
Temporal trend of incidence and mortality rates from COVID-19 and its relationship with socioeconomic indicators in the state of Piauí, Brazil: ecological study, 2020-2021 |
title_fullStr |
Temporal trend of incidence and mortality rates from COVID-19 and its relationship with socioeconomic indicators in the state of Piauí, Brazil: ecological study, 2020-2021 |
title_full_unstemmed |
Temporal trend of incidence and mortality rates from COVID-19 and its relationship with socioeconomic indicators in the state of Piauí, Brazil: ecological study, 2020-2021 |
title_sort |
Temporal trend of incidence and mortality rates from COVID-19 and its relationship with socioeconomic indicators in the state of Piauí, Brazil: ecological study, 2020-2021 |
author |
Silva, Vanessa Rodrigues da |
author_facet |
Silva, Vanessa Rodrigues da Pacheco, Edildete Sene Cardoso, Osmar de Oliveira Lima, Luisa Helena de Oliveira Rodrigues, Malvina Thaís Pacheco Mascarenhas, Márcio Dênis Medeiros |
author_role |
author |
author2 |
Pacheco, Edildete Sene Cardoso, Osmar de Oliveira Lima, Luisa Helena de Oliveira Rodrigues, Malvina Thaís Pacheco Mascarenhas, Márcio Dênis Medeiros |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Silva, Vanessa Rodrigues da Pacheco, Edildete Sene Cardoso, Osmar de Oliveira Lima, Luisa Helena de Oliveira Rodrigues, Malvina Thaís Pacheco Mascarenhas, Márcio Dênis Medeiros |
dc.subject.por.fl_str_mv |
Análise de Vulnerabilidade COVID-19 Estudos de Séries Temporais Indicadores de Desigualdade em Saúde Monitoramento Epidemiológico Vulnerability Analysis Covid-19 Time Series Studies Health Inequality Indicators Epidemiological Monitoring Análisis de Vulnerabilidad Covid-19 Estudios de Series Temporales Indicadores de Desigualdad en Salud Monitoreo Epidemiológico. |
topic |
Análise de Vulnerabilidade COVID-19 Estudos de Séries Temporais Indicadores de Desigualdade em Saúde Monitoramento Epidemiológico Vulnerability Analysis Covid-19 Time Series Studies Health Inequality Indicators Epidemiological Monitoring Análisis de Vulnerabilidad Covid-19 Estudios de Series Temporales Indicadores de Desigualdad en Salud Monitoreo Epidemiológico. |
description |
Objective: Analyze the temporal trend of the incidence/mortality by COVID-19 and its relationship with socioeconomic indicators. Methods: Ecological time series study on COVID-19 cases/deaths in municipalities in Piauí, Brazil, between March/2020 and May/2021. Prais-Winsten linear regression model and the Spearman correlation test were used. Results: There were 271.228 cases and 5.888 deaths in the period. There was an increasing trend in the incidence and stability in mortality from COVID-19. The spatiotemporal analyzes showed higher incidence/mortality in the second and fifth quarters of the period. There was no statistically significant correlation between COVID-19 and IVS. Significant correlations between MHDI and incidence (p<0.001) and mortality (p<0.001) by COVID-19 were observed. Conclusion: There was an increasing trend in the incidence of COVID-19 and stability in mortality from disease. There was a moderate and weak correlation of these indicators with MHDI, demanding decisions aimed at improving the population's quality of life in the management spheres. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-22 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/4590 10.1590/s1679-49742022000200020 |
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https://preprints.scielo.org/index.php/scielo/preprint/view/4590 |
identifier_str_mv |
10.1590/s1679-49742022000200020 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/4590/8820 |
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https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
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application/pdf |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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