Space-temporal analysis of the incidence, mortality and case fatality of COVID-19 in the State of Rio Grande do Norte, in the period from 2020 to 2022, in the Northeast of Brazil

Authors

  • Paula Christianne Gomes Gouveia Souto Maia a Centro Universitário FMABC, Santo André, São Paulo, Brasil;
  • Matheus Paiva Emidio Cavalcanti b Programa de Pós-Graduação em Ciências Médicas/Processos Imunes e Infecciosos. Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brasil;
  • Fernando Augusto Marinho dos Santos Figueira b Programa de Pós-Graduação em Ciências Médicas/Processos Imunes e Infecciosos. Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brasil;
  • Gabrielle do Amaral Virginio Pereira b Programa de Pós-Graduação em Ciências Médicas/Processos Imunes e Infecciosos. Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brasil;
  • Woska Pires da Costa dInstituto Federal Goiano - Campus Ceres, Ceres, Goiás, Brasil; Instituto Federal Goiano - Campus Morrinhos, Morrinhos, Goiás, Brasil;
  • Luiz Carlos de Abreu a Centro Universitário FMABC, Santo André, São Paulo, Brasil; cUniversidade Federal do Espirito Santo- UFES, Vitória, Espirito Santo, Brasil.

DOI:

https://doi.org/10.36311/jhgd.v34.15777

Keywords:

COVID-19, pandemic, epidemiology, incidence, mortality, case fatality

Abstract

Introduction: the COVID-19 pandemic, caused by the SARS-CoV-2 coronavirus, has had a great impact on the state of Rio Grande do Norte, as well as around the world, constituting a relevant challenge for public health. Since its emergence, the disease has spread widely, causing a significant number of confirmed cases and deaths in the state.

Objective: to analyze the trend of incidence, mortality and case fatality of COVID-19 in the state of Rio Grande do Norte, located in the Northeast region of Brazil, between 2020 and 2022.

Methods: consists of an ecological analysis of time series of retrospective secondary data in population level. Incidence and mortality rates per 100,000 inhabitants were estimated, as well as case fatality and daily percentage variation, both expressed in percentages. The daily percentage variation was calculated using the generalized linear regression technique using the Prais-Winsten method, and served to classify the trend as increasing, decreasing or stationary, considering a significance level of 95%.

Results: data analysis showed the registration of 582,618 cases and 8,689 deaths from COVID-19 in the state of Rio Grande do Norte, during the period from March 2020 to December 2022. There was an initial increase in the incidence rate in 2020, followed by a significant reduction in 2021 and 2022. Mortality showed a decreasing trend in 2021 and a stationary trend in 2022, without notable variation in 2020. The case fatality rate decreased in 2020, but did not show significant trends in the following years.

Conclusion: the epidemiological analysis of COVID-19 in the state of Rio Grande do Norte revealed variations in incidence, mortality and case fatality over the study period. The daily percentage change over the total period of the incidence time series was stationary, while mortality and case fatality were decreasing.

Downloads

Download data is not yet available.

References

Alonso WJ, Jimenez E, et al. Covid-19 em contexto: comparação com a Mortalidade mensal por causas respiratórias nos estados brasileiros. InterAmerican Journal of Medicine and Health. 2020; 3: 1-21.

Center, JHUMCR. COVID-19 dashboard. Johns Hopkins University, 2021.

Pereira A, da Cruz KAT, Lima PS. Principais aspectos do novo coronavírus sars-cov-2: uma ampla revisão. Arquivos do MUDI, v. 25, n. 1, p. 73-90, 2021.

da Silva SJR et al. Two years into the COVID-19 pandemic: lessons learned. ACS infectious diseases, v. 8, n. 9, p. 1758-1814, 2022.

Moolla I, Hiilamo H. Health system characteristics and COVID-19 performance in high-income countries. BMC Health Services Research, v. 23, n. 1, p. 1-14, 2023.

Barbosa TP et al. Morbimortalidade por COVID-19 associada a condições crônicas, serviços de saúde e iniquidades: evidências de sindemia. Revista Panamericana de Salud Pública, v. 46, p. e6, 2023.

Hastenreiter Filho HN, Cavalcante LR. Variáveis associadas à mortalidade por covid-19 nos municípios brasileiros: um estudo exploratório. RPER, n. 60, p. 57-70, 2022.

dos Santos JLG et al. Collision of fundamental human rights and the right to health access during the novel coronavirus pandemic. Frontiers in public health, v. 8, p. 570243, 2021.

Sousa LRM; Ditterich RG, Melgar-Quinõnez H. A pandemia de Covid-19 e seus entrelaçamentos com desigualdade de gênero, insegurança alimentar e apoio social na América Latina. Interface-Comunicação, Saúde, Educação, v. 25, p. e200651, 2021.

Cutrim AC et al. Brasil como epicentro da crise da Covid-19 na América Latina e as prováveis consequências em estratificações socioeconômicas mais vulneráveis: uma perspectiva de compreensão do papel do Estado e da social democracia centrada em John Maynard Keynes. Espacio Abierto, 2020.

Yamall JD et al. Excesso de mortes durante a pandemia de COVID-19: subnotificação e desigualdades regionais no Brasil. Cadernos de Saúde Pública, v. 37, p. e00259120, 2021.

Machado CV, Pereira AMM, Freitas CM. Desafios dos Sistemas de Saúde Diante da Pandemia. Políticas e Sistemas de Saúde em Tempos de Pandemia, p. 9.

Moioli AIL et al. Effectiveness of COVID-19 Vaccination on Reduction of Hospitalizations and Deaths in Elderly Patients in Rio Grande do Norte, Brazil. International journal of environmental research and public health, v. 19, n. 21, p. 13902, 2022.

Medeiros RADM et al. The relevance a technology ecosystem in the Brazilian National Health Service’s Covid-19 response: the case of Rio Grande do Norte, Brazil. Ciência & Saúde Coletiva, v. 26, p. 2035-2052, 2021.

Henrique G et al. ANÁLISE DA DISTRIBUIÇÃO ESPACIAL DA COVID-19 E SUBNOTIFICAÇÃO DE CASOS NOVOS E ÓBITOS NO ESTADO DO RIO GRANDE DO NORTE, BRASIL. Pensar Geografia, v. 3, n. 2, p. 51-67, 2019.

Rocha R et al. Effect of socioeconomic inequalities and vulnerabilities on health-system preparedness and response to COVID-19 in Brazil: a comprehensive analysis. The Lancet Global Health, v. 9, n. 6, p. e782-e792, 2021.

Wachtler B et al. Socioeconomic inequalities and COVID-19–A review of the current international literature. Journal of Health Monitoring, v. 5, n. Suppl 7, p. 3, 2020.

Silva FC et al. Isolamento social e a velocidade de casos de covid-19: medida de prevenção da transmissão. Revista Gaúcha de Enfermagem, v. 42, 2021.

Mascarello KC et al. COVID-19 hospitalization and death and relationship with social determinants of health and morbidities in Espírito Santo State, Brazil: a cross-sectional study. Epidemiologia e Serviços de Saúde, v. 30, 2021.

Figueiredo AM et al. Social determinants of health and COVID-19 infection in Brazil: an analysis of the pandemic. Revista brasileira de enfermagem, v. 73, 2020.

Fatima M et al. Geospatial analysis of COVID-19: A scoping review. International Journal of Environmental Research and Public Health, v. 18, n. 5, p. 2336, 2021.

Abreu LC, Elmusharaf K, Siqueira CEG. A time-series ecological study protocol to analyze trends of incidence, mortality, lethality of COVID-19 in Brazil. Journal of Human Growth and Development, v. 31, n. 3, p. 491-495, 2021.

Zeger SL, Irizarry R, Peng RD. On time series analysis of public health and biomedical data. Annu. Rev. Public Health, v. 27, p. 57-79, 2006.

World Health Organization. International Statistical Classification of Diseases and Related Health Problems 10th Revision. (Access on 20 de janeiro de 2023). Disponível em: https://icd.who.int/browse10/2019/en#/U04

Microsoft Corporation. Microsoft Excel [Internet]. 2018. Available from: https://office.microsoft.com/excel

IBGE. Instituto Brasileiro de Geografia e Estatística. Cidades e Estados. Acesso em 26 de maio de 2023. Disponível em: https://www.ibge.gov.br/cidades-e-estados

Antunes JL, Cardoso MRA. Uso da análise de séries temporais em estudos epidemiológicos. Epidemiologia e Serviços de Saúde, v. 24, p. 565-576, 2015.

Stata Statistical Software: Release 14. College Station, TX: StataCorp LP. StataCorp. 2013.

Cesar AEM et al. Analysis of COVID-19 mortality and case-fatality in a low-income region: an ecological time-series study in Tocantins, Brazilian Amazon. Journal of Human Growth and Development, v. 31, n. 3, p. 496-506, 2021.

Lorenz C et al. COVID-19 no estado de São Paulo: a evolução de uma pandemia. Revista Brasileira de Epidemiologia, v. 24, 2021.

Rex FE, Borges CAS, Käfer PS. Spatial analysis of the COVID-19 distribution pattern in São Paulo State, Brazil. Ciencia & saude coletiva, v. 25, p. 3377-3384, 2020.

Valenzuela EV et al. Evolution of mortality and lethality due to COVID-19 in the State of Roraima, Brazil, from march 2020 to july 2021. Journal of Human Growth and Development, v. 31, n. 3, p. 447-457, 2021.

Matos HJ. A próxima pandemia: estamos preparados?. Revista Pan-Amazônica de Saúde, v. 9, n. 3, p. 9-11, 2018.

Martire Junior L et al. Lethality and mortality of COVID-19 in an important industrial center in Latin America, region of Grande ABC, São Paulo, Brazil. Journal of Human Growth and Development, v. 31, n. 3, p. 436-446, 2021.

De Souza WM et al. Epidemiological and clinical characteristics of the COVID-19 epidemic in Brazil. Nature human behaviour, v. 4, n. 8, p. 856-865, 2020.

Silva GDM et al. Influence of socioeconomic inequality on the distribution of COVID-19 hospitalizations and deaths in Brazilian municipalities, 2020: an ecological study. Epidemiologia e Serviços de Saúde, v. 32, 2023.

Kerr L et al. COVID-19 in Northeast Brazil: achievements and limitations in the responses of the state governments. Ciência & Saúde Coletiva, v. 25, p. 4099-4120, 2020.

Horton R. Offline: COVID-19—the lessons that science forgot. Lancet (London, England), v. 400, n. 10365, p. 1753, 2022.

Caldas JC, Silva AA, Cantante F. As consequências socioeconómicas da COVID-19 e a sua desigual distribuição. 2020.

Cestari VR et al. Vulnerabilidade social e incidência de COVID-19 em uma metrópole brasileira. Ciência & Saúde Coletiva, v. 26, p. 1023-1033, 2021.

Rezende LF et al. Adults at high-risk of severe coronavirus disease-2019 (Covid-19) in Brazil. Revista de Saúde Pública, v. 54, p. 50, 2020.

Baggio JAO et al. COVID-19 in Brazil: spatial risk, social vulnerability, human development, clinical manifestations and predictors of mortality–a retrospective study with data from 59 695 individuals. Epidemiology & Infection, v. 149, 2021.

Assis EL et al. Evolution of COVID-19 during the epidemiological week 16 to 53 of 2020 in the state of Acre Western Amazonia, Brazil. Journal of Human Growth and Development, v. 31, n. 3, p. 425-435, 2021.

Quirino TRL et al. Análise dos indicadores da COVID-19 no Nordeste brasileiro em quatro meses de pandemia. Vigilância Sanitária em Debate: Sociedade, Ciência & Tecnologia, v. 8, n. 3, p. 52-60, 2020.

Marinelli NP et al. Evolução de indicadores e capacidade de atendimento no início da epidemia de COVID-19 no Nordeste do Brasil, 2020. Epidemiologia e Serviços de Saúde, v. 29, 2020.

Published

2024-04-11

Issue

Section

ORIGINAL ARTICLES