COVID-19 mortality profile during the first 15 months of the pandemic
DOI:
https://doi.org/10.33448/rsd-v10i16.23924Keywords:
COVID-19; SARS-Cov-2; Mortality; Mortality.Abstract
Since the beginning of the COVID-19 pandemic, the mortality profile and associated risk factors have been widely traced in different parts of the world. So, we analyse the occurrence of deaths by bulletin of the State Health Department of Sergipe, Brazil published on June 9, 2021. Data were analyzed descriptively and inferential using R software. Sergipe registered 5,295 deaths due to the new coronavirus during the first 15 months of the pandemic, 2,592 (49.0%) in 2020 against 2,703 (51.1%) in 2021. The victims presented mean age of 65.3 (±17.4) years old, with predominance of male (56.2%), from the metropolitan region of Aracaju (56.0%) and who have some comorbidity (71.3%). It was observed a significant difference in the median age in relation to the year of death, sex and comorbidity, in addition year of death with age and location, with increase in the proportion of deaths among people aged 30 to 59 years from 25.6% in 2020 to 33.8% in 2021. In people aged 60 years or more, however, there was a decrease in 2020, this age group represented 71.1% of deaths and rose to 63.6%. These variations of mortality profile can be attributed to the return of work activities involving the adult age group, as well as the vaccination of the elderly, as priority group. Thus, we observed that sex, age and the presence of comorbidities were the factors with the greatest influence on mortality from COVID-19.
References
Andrade, G. D., Kundsin, A., Dias, S. A., & Santos, G. T. (2021). Perfil de mortalidade associado à pandemia de infecção por SARs-CoV-2 em um Hospital Público da Região Sul da Amazônia Ocidental. Research, Society and Development, 10(13), e288101321359–e288101321359. https://doi.org/10.33448/rsd-v10i13.21359
Antos, A., Kwong, M. L., Balmorez, T., Villanueva, A., & Murakami, S. (2021). Unusually High Risks of COVID-19 Mortality with Age-Related Comorbidities: An Adjusted Meta-Analysis Method to Improve the Risk Assessment of Mortality Using the Comorbid Mortality Data. Infectious Disease Reports, 13(3), 700–711. https://doi.org/10.3390/idr13030065
Barros, G. M. M. de, Valério, F. C. E. P., Silva, M. H. F. D. da, Pecorelli, D. G., Porto, V. U. da N., & Silva, L. de A. (2021). Os impactos da Pandemia do COVID-19 na saúde mental dos estudantes. Research, Society and Development, 10(9), e47210918307–e47210918307. https://doi.org/10.33448/rsd-v10i9.18307
Becerra-Muñoz, V. M., Núñez-Gil, I. J., Eid, C. M., García Aguado, M., Romero, R., Huang, J., Mulet, A., Ugo, F., Rametta, F., Liebetrau, C., Aparisi, A., Fernández-Rozas, I., Viana-Llamas, M. C., Feltes, G., Pepe, M., Moreno-Rondón, L. A., Cerrato, E., Raposeiras-Roubín, S., Alfonso, E., … Gómez-Doblas, J. J. (2021). Clinical profile and predictors of in-hospital mortality among older patients hospitalised for COVID-19. Age and Ageing, 50(2), 326–334. https://doi.org/10.1093/ageing/afaa258
Biswas, M., Rahaman, S., Biswas, T. K., Haque, Z., & Ibrahim, B. (2021). Association of Sex, Age, and Comorbidities with Mortality in COVID-19 Patients: A Systematic Review and Meta-Analysis. Intervirology, 64(1), 36–47. https://doi.org/10.1159/000512592
Fenzke, M. N., Aguiar, B. F., Viante, W. J. M., Vicari, K., Brotto, B. R. P. P., & Miranda, F. M. D. (2021). Ansiedade em profissionais de saúde durante a pandemia do novo coronavírus: Uma revisão integrativa. Research, Society and Development, 10(9), e26010918025–e26010918025. https://doi.org/10.33448/rsd-v10i9.18025
Fisher, R. A. (1922). On the Interpretation of χ 2 from Contingency Tables, and the Calculation of P. Journal of the Royal Statistical Society. https://doi.org/10.2307/2340521
Gupta, S., Georgiou, A., Sen, S., Simon, K., & Karaca-Mandic, P. (2021). US Trends in COVID-19–Associated Hospitalization and Mortality Rates Before and After Reopening Economies. JAMA Health Forum, 2(6), e211262–e211262. https://doi.org/10.1001/jamahealthforum.2021.1262
Mann, H. B., & Whitney, D. R. (1947). On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other. The Annals of Mathematical Statistics, 18(1), 50–60. https://doi.org/10.1214/aoms/1177730491
Melonio, L. da C. C., Cezere, M. L. S. de, & Oliveira, W. de C. (2021). Regressividade financeira: Investigação do impacto econômico durante a pandemia do coronavírus COVID-19 sobre a família brasileira. Research, Society and Development, 10(11), e55101119389–e55101119389. https://doi.org/10.33448/rsd-v10i11.19389
Patel, M. D., Rosenstrom, E., Ivy, J. S., Mayorga, M. E., Keskinocak, P., Boyce, R. M., Hassmiller Lich, K., Smith, R. L., Johnson, K. T., & Swann, J. L. (2021). The Joint Impact of COVID-19 Vaccination and Non-Pharmaceutical Interventions on Infections, Hospitalizations, and Mortality: An Agent-Based Simulation. MedRxiv: The Preprint Server for Health Sciences, 2020.12.30.20248888. https://doi.org/10.1101/2020.12.30.20248888
Pechinim, I., Barbosa, G. A. S., & Werneck, A. L. (2021). Ansiedade e depressão no contexto da pandemia COVID-19 e a relação com os mecanismos de defesa das gestantes. Research, Society and Development, 10(10), e93101018489–e93101018489. https://doi.org/10.33448/rsd-v10i10.18489
Peron, J. P. S., & Nakaya, H. (2020). Susceptibility of the Elderly to SARS-CoV-2 Infection: ACE-2 Overexpression, Shedding, and Antibody-dependent Enhancement (ADE). Clinics (Sao Paulo, Brazil), 75, e1912. https://doi.org/10.6061/clinics/2020/e1912
Salata, C., Calistri, A., Parolin, C., & Palù, G. (2019). Coronaviruses: A paradigm of new emerging zoonotic diseases. Pathogens and Disease, 77(9), ftaa006. https://doi.org/10.1093/femspd/ftaa006
Scully, E. P., Haverfield, J., Ursin, R. L., Tannenbaum, C., & Klein, S. L. (2020). Considering how biological sex impacts immune responses and COVID-19 outcomes. Nature Reviews Immunology, 20(7), 442–447. https://doi.org/10.1038/s41577-020-0348-8
Silva, B. S. da, Fonseca, P. I. M. N. da, & Silva, P. D. da. (2021). As emoções à flor da pele e seus possíveis manejos na pandemia da COVID-19. Research, Society and Development, 10(10), e12101018434–e12101018434. https://doi.org/10.33448/rsd-v10i10.18434
Souza, F. S. H. de, Hojo-Souza, N. S., Batista, B. D. de O., Silva, C. M. da, & Guidoni, D. L. (2021). On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database. PLOS ONE, 16(3), e0248580. https://doi.org/10.1371/journal.pone.0248580
Team, R. (2021). R: The R Project for Statistical Computing. R: A Language and Environment for Statistical Computing. https://www.r-project.org/
Thakur, B., Dubey, P., Benitez, J., Torres, J. P., Reddy, S., Shokar, N., Aung, K., Mukherjee, D., & Dwivedi, A. K. (2021). A systematic review and meta-analysis of geographic differences in comorbidities and associated severity and mortality among individuals with COVID-19. Scientific Reports, 11(1), 8562. https://doi.org/10.1038/s41598-021-88130-w
Victora, P. C., Castro, P. M. C., Gurzenda, S., Medeiros, A. C., França, G. V. A., & Barros, P. A. J. D. (2021). Estimating the early impact of vaccination against COVID-19 on deaths among elderly people in Brazil: Analyses of routinely-collected data on vaccine coverage and mortality. EClinicalMedicine, 0(0). https://doi.org/10.1016/j.eclinm.2021.101036
WHO. (2021a). Coronavirus disease (COVID-19). https://www.who.int/emergencies/diseases/novel-coronavirus-2019?gclid=Cj0KCQjw5uWGBhCTARIsAL70sLJzxp7K7CzqUQXMm2AhD8vNAnGPXzAaubYi8Asg-6Q2FaBOEszFb0UaAkgAEALw_wcB
WHO. (2021b). Update on Omicron. https://www.who.int/news/item/28-11-2021-update-on-omicron
WHO. (2021c). WHO Coronavirus (COVID-19) Dashboard. https://covid19.who.int
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Lysandro Pinto Borges; Hérica Santos da Silva; José Rodrigo Santos Silva; Adriana Gibara Guimarães
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
