Incidence of covid-19 and associated factors in the population of Pará

Keywords: COVID-19, Diagnosis, Incidence, Pandemic

Abstract

The aim of this study was to identify the incidence of COVID-19 according to the positivity of the rapid tests and the associated factors in the population of the state of Pará. This is a cross-sectional, analytical, retrospective study, developed with cases of COVID-19 in individuals notified and residing in the state of Pará. Information was collected on the State Transparency Portal. Positivity for rapid tests of the disease was considered as the outcome variable. Logistic regression analysis was applied to identify associations between variables. The incidence of COVID-19 was 46% (95% CI: 45.7-46.2). Being male, over 80 years old and waiting 22 days or more to perform the tests after the onset of symptoms increased the chances for a positive result. It can be concluded that there is a high incidence of COVID-19 in the state. Non-pharmacological measures and case tracking strategies are important alternatives to mitigate the pandemic.

Author Biographies

Wynne Pereira Nogueira, Universidade Federal da Paraíba - UFPB
Doctoral student in Nursing in the Postgraduate Program in Nursing at the Federal University of Paraíba (UFPB). João Pessoa (PB), Brazil.
Josiel Neves da Silva, Centro Universitário São Lucas - UNISL
Student of the medical course at University Center São Lucas (UNISL), Porto Velho (RO), Brazil.
Heitor Donizete dos Santos Silva, Universidade Federal do Tocantins - UFT
Student of the medical course at the Federal University of Tocantins (UFT), Araguaína (TO), Brazil.
Victória Regina Gomes Dias, Universidade Federal do Acre - UFAC
Student of the medical course at the Federal University of Acre (UFAC), Rio Branco (AC), Brazil.
Rayza Brito Silva, Universidade Federal do Tocantins - UFT
Student of the medical course at the Federal University of Tocantins (UFT), Araguaína (TO), Brazil.
Yuri Vasconcelos Andrade, Universidade Federal do Pará - UFPA
Student of the medical course at the Federal University of Pará (UFPA), Belém (PA), Brazil.
Ana Cristina de Oliveira e Silva, Universidade Federal da Paraíba - UFPB
Teacher of the Postgraduate Program in Nursing at the Federal University of Paraíba, João Pessoa (PB), Brazil.

References

1. OPAS. Folha informativa COVID-19 - Escritório da OPAS e da OMS no Brasil OPAS/OMS. Organização Pan-Americana da Saúde [Internet]. 2020 [citado em 2020 ago. 23]. Disponível em: http:/www.paho.org/pt/covid19

2. Ministério da Saúde (BR). Coronavírus Brasil. Painel Coronavírus [Internet]. 2020 [citado em 2020 nov. 17]. Disponível em: https://covid.saude.gov.br/

3. WHO. Situation report. Dashboard COVID-19 [Internet]. 2020 [cited in 2020 Nov17]. Available from: https://covid19.who.int/table

4. Hoffman T, Nissen K, Krambrich J, Rönnberg B, Akaberi D, Esmaeilzadeh M, et al. Evaluation of a COVID-19 IgM and IgG rapid test; an efficient tool for assessment of past exposure to SARS-CoV-2. Infection Ecology & Epidemiology. 2020;10(1):1754538. doi: https://doi.org/10.1080/20008686.2020.1754538

5. Lee YL, Liao CH, Liu PY, Cheng CY, Chung MY, Liu CE, et al. Dynamics of anti-SARS-Cov-2 IgM and IgG antibodies among COVID-19 patients. J Infect. 2020;81(2):e558. doi https://doi.org/10.1016/j.jinf.2020.04.019

6. AHRQ. Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19 disease [Internet]. 2020 [cited in 2020 Aug 21]. Available from: http://psnet.ahrq.gov/issue/signs-and-symptoms-determine-if-patient-presenting-primary-care-or-hospital-outpatient

7. Hu Z, Song C, Xu C, Jin G, Chen Y, Xu X, et al. Clinical characteristics of 24 asymptomatic infections with COVID-19 screened among close contacts in Nanjing, China. Sci China Life Sci. 2020;63(5):706-11. doi https://doi.org/10.1007/s11427-020-1661-4

8. Oliveira WK, Duarte E, França GVA, Garcia LP, Oliveira WK, Duarte E, et al. Como o Brasil pode deter a COVID-19. Epidemiologia e Serviços de Saúde [Internet]. 2020 [citado em 2020 ago. 21];29(2). Disponível em: http://www.scielo.br/scielo.php?script=sci_abstract&pid=S2237-96222020000200200&lng=en&nrm=iso&tlng=pt

9. Gargaglioni LH, Marques DA, Patrone LGA. Sex differences in breathing. Comp Biochem Physiol, Part A Mol Integr Physiol. 2019;238:110543. doi https://doi.org/10.1016/j.cbpa.2019.110543

10. COVID-19 sex-disaggregated data tracker – Global Health 50/50 [Internet]. 2020 [cited in 2020 Aug 2020]. Available in: https://globalhealth5050.org/covid19/sex-disaggregated-data-tracker/

11. Scully EP, Haverfield J, Ursin RL, Tannenbaum C, Klein SL. Considering how biological sex impacts immune responses and COVID-19 outcomes. Nature Reviews Immunology. 2020;20(7):442-7. doi: https://www.nature.com/articles/s41577-020-0348-8

12. Qian J, Zhao L, Ye RZ, Li XJ, Liu YL. Age-dependent gender differences of COVID-19 in mainland China: comparative study. Clin Infect Dis. 2020. doi: https://doi.org/10.1093/cid/ciaa683

13. Michelozzi P, Donato F, Scortichini M, Sario M, Noccioli F, Rossi P, et al. Mortality impacts of the coronavirus disease (COVID-19) outbreak by sex and age: rapid mortality surveillance system, Italy, 1 February to 18 April 2020. Euro Surveill [Internet]. 2020 [cited in 2020 Aug 21];25(19). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7238743/

14. Bhala N, Curry G, Martineau AR, Agyemang C, Bhopal R. Sharpening the global focus on ethnicity and race in the time of COVID-19. The Lancet. 2020;395(10238):1673-6. doi https://doi.org/10.1016/S0140-6736(20)31102-8

15. Yan R, Zhang Y, Li Y, Xia L, Guo Y, Zhou Q. Structural basis for the recognition of SARS-CoV-2 by full-length human ACE2. Science. 2020;367(6485):1444-8. doi https://doi.org/10.1126/science.abb2762

16. CDC. Information for Laboratories about Coronavirus (COVID-19) [Internet]. Centers for Disease Control and Prevention. 2020 [cited in 2020 Aug 21]. Available from: https://www.cdc.gov/coronavirus/2019-ncov/lab/index.html

17. Yang Q, Xie L, Zhang W, Zhao L, Wu H, Jiang J, et al. Analysis of the clinical characteristics, drug treatments and prognoses of 136 patients with coronavirus disease 2019. Journal of Clinical Pharmacy and Therapeutics. 2020;45(4):606-16. doi https://doi.org/10.1111/jcpt.13170

18. Fu L, Wang B, Yuan T, Chen X, Ao Y, Fitzpatrick T, et al. Clinical characteristics of coronavirus disease 2019 (COVID-19) in China: A systematic review and meta-analysis. J Infect. 2020;80(6):656-65. doi https://doi.org/10.1016/j.jinf.2020.03.041

19. Sun P, Qie S, Liu Z, Ren J, Li K, Xi J. Clinical characteristics of hospitalized patients with SARS-CoV-2 infection: A single arm meta-analysis. J Med Virology. 2020;92(6):612-7. Doi: https://doi.org/10.1002/jmv.25735

20. Xu XW, Wu XX, Jiang XG, Xu KJ, Ying LJ, Ma CL, et al. Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case series. BMJ. 2020;368:m606. doi: https://doi.org/10.1136/bmj.m606

21. Mi B, Chen L, Xiong Y, Xue H, Zhou W, Liu G. Characteristics and early prognosis of COVID-19 infection in fracture patients. J Bone Joint Surg Am. 2020;102(9):750-8. doi: https://doi.org/10.2106/JBJS.20.00390

22. Wu J, Liu J, Zhao X, Liu C, Wang W, Wang D, et al. Clinical characteristics of imported cases of COVID-19 in Jiangsu Province: A multicenter descriptive study. Clin Infect Dis [Internet]. 2020 [cited in 2020 Aug 21]. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108195/

23. Wang R, Pan M, Zhang X, Han M, Fan X, Zhao F, et al. Epidemiological and clinical features of 125 hospitalized patients with COVID-19 in Fuyang, Anhui, China. Int J Infect Dis. 2020;421-8. doi: https://doi.org/10.1016/j.ijid.2020.03.070

24. Yan Y, Shin WI, Pang YX, Meng Y, Lai J, You C, et al. The First 75 days of Novel Coronavirus (SARS-CoV-2) Outbreak: Recent Advances, Prevention, and Treatment. Int J Environ Res Public Health. 2020;17(7). doi: https://doi.org/10.3390/ijerph17072323

25. Zumla A, Hui DS, Perlman S. Middle East respiratory syndrome. The Lancet. 2015;386(9997):995-1007.

26. Guan W, Ni Z, Hu Y, Liang W, Ou C, He J, et al. Clinical characteristics of Coronavirus Disease 2019 in China. New England Journal of Medicine. 2020;382(18):1708-20. doi: https://www.nejm.org/doi/full/10.1056/nejmoa2002032

27. Zhao R, Li M, Song H, Chen J, Ren W, Feng Y, et al. Early detection of SARS-CoV-2 antibodies in COVID-19 patients as a serologic marker of infection. Clin Infect Dis [Internet]. 2020 [cited in 2020 Aug 21]. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7197602/

28. Wölfel R, Corman VM, Guggemos W, Seilmaier M, Zange S, Müller MA, et al. Virological assessment of hospitalized patients with COVID-2019. Nature. 2020;581(7809):465-9.

Published
2021-04-30
Section
Artigos Originais