Methodological aspects and results of the baseline of the monitoring of health in adults and elderly infected by Sars-Cov-2 (Sulcovid-19)

Authors

DOI:

https://doi.org/10.21527/2176-7114.2024.48.14140

Keywords:

COVID-19, SARS-CoV-2, Pandemics, Cross-Sectional Studies, Methods

Abstract

AIM: To describe the methodology and sample used in the study, as well as the prevalence of symptoms during the acute phase of infection according to socioeconomic variables. METHODS: A cross-sectional study conducted in Rio Grande with individuals infected by SARS-CoV-2 from December 2020 to March 2021. Nineteen symptoms present during the acute phase of infection were investigated and analyzed separately and categorized as "0-4," "5-9," and "10 or more," according to sex, age, and economic class. RESULTS: 2,919 individuals were included in the sample. The most prevalent symptoms were fatigue (73.7%), headache (67.2%), loss of taste (65.9%), loss of smell (63.9%), and muscle pain (62.3%). Regarding the occurrence of symptoms stratified by sex, all symptoms except productive cough were statistically higher in females. Regarding age, it was found that headache, pain/discomfort breathing, loss of taste, loss of smell, fatigue, sore throat, nasal congestion, diarrhea, joint pain, and muscle pain were statistically higher among adults (18-59 years old). Regarding economic class, the prevalence of symptoms such as shortness of breath, pain/discomfort breathing, altered sensitivity, and joint pain increased linearly with decreasing economic class. CONCLUSION: The results of this study allowed identifying the most frequent symptoms during the acute phase of COVID-19 and their distribution among groups, providing data for the implementation of public policies by managers and support for healthcare professionals in assisting this population.

 

References

WHO. World Health Organization. R&D Blueprint and Covid-19. [Internet]. 2020. Available from: https://www.who.int/teams/mental-health-and-substance-use/covid-19

Zaim S, Chong JH, Sankaranarayanan V, Harky A. Covid-19 and Multiorgan Response. Curr Probl Cardiol [Internet]. 2020 Aug.;45(8):100618. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0146280620300955

World Health Organization. WHO Coronavirus (Covid-19) Dashboard. WHO Coronavirus Dashboard. Published online 2023:1. Available from: https://covid19.who.int/

Wu D, Lu J, Liu Y, Zhang Z, Luo L. Positive effects of Covid-19 control measures on influenza prevention. Int J Infect Dis. 2020;95:345-346.

Parmet WE, Sinha MS. Covid-19 – The Law and Limits of Quarantine. N Engl J Med [Internet]. 2020;382(15):e28. DOI: https://doi.org/10.1056/NEJMp2004211

Engstrom EM, Melo EA, Giovanella L, Pereira AMM, Grabois V, Mendonça MHM de. Organização da atenção primária à saúde no SUS no enfrentamento da Covid-19. Covid-19 desafios para a Organ e Reper nos Sist e serviços saúde. 2022;185-200.

Lopez-Leon S, Wegman-Ostrosky T, Perelman C, Sepulveda R, Rebolledo PA, Cuapio A, et al. More than 50 long-term effects of Covid-19: a systematic review and meta-analysis. Sci Rep [Internet]. 2021 Dec. 9;11(1):16144. Available from: https://www.nature.com/articles/s41598-021-95565-8

Chalmers I, Glasziou P. Avoidable waste in the production and reporting of research evidence. Obstet Gynecol. 2009 Dec.;114(6):1.341-1.345.

Mbuagbaw L, Lawson DO, Puljak L, Allison DB, Thabane L. A tutorial on methodological studies: the what, when, how and why. BMC Med Res Methodol [Internet]. 2020;20(1):226. DOI: https://doi.org/10.1186/s12874-020-01107-7

Casas CPR, Silva J, Castro R, Ribeiro-Alves M, Franco CM. Avaliação de tecnologias em saúde: tensões metodológicas durante a pandemia de Covid-19. Estud Avancados. 2020;34(99):77-96.

WHO. Maintaining essential health services: operational guidance for the Covid-19 context. World Heal Organ. 2020;1(June):1-55.

IBGE. Instituto Brasileiro de Geografia e Estatística. Cidades e Estados. Cidade de Rio Grande. [Internet]. 2022. Available from: https://www.ibge.gov.br/cidades-e-estados/rs/rio-grande.html

IBGE. Instituto Brasileiro de Geografia e Estatística [Internet]. 2022. Available from: https://www.ibge.gov.br/index.php

Datasus. Índice de Gini da Renda Domiciliar Per Capita – Rio Grande do Sul [Internet]. 2010. Available from: http://tabnet.datasus.gov.br/cgi/ibge/censo/cnv/ginirs.def

Secretaria da Saúde do Estado do Rio Grande do Sul. Painel Coronavírus RS [Internet]. 2023. Available from: https://ti.saude.rs.gov.br/covid19/

Pilli L et al. Critério de classificação econômica Brasil, 2022. Assoc Bras Empres Pesqui; 2022.

Barreto ML, Teixeira MG, Bastos FI, Ximenes RAA, Barata RB, Rodrigues LC. Successes and failures in the control of infectious diseases in Brazil: social and environmental context, policies, interventions, and research needs. Lancet [Internet]. 2011 May 28;377(9780):1.877-1.889. Available from: https://doi.org/10.1016/S0140-6736(11)60202-X

Moreira WC, Sousa KHJF, Sousa AR de, Santana T da S, Zeitoune RCG, Nóbrega M do PS. Intervenções em saúde mental em tempos de Covid-19: scoping review. Scielo Prepr. 2020;0-3.

Wiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC. Pathophysiology, Transmission, Diagnosis, and Treatment of Coronavirus Disease 2019 (Covid-19): A Review. Jama. 2020 Aug.;324(8):782-793.

Han Y, Liu Y, Zhou L, Chen E, Liu P, Pan X, et al. Epidemiological Assessment of Imported Coronavirus Disease 2019 (Covid-19) Cases in the Most Affected City Outside of Hubei Province, Wenzhou, China. Jama Netw Open [Internet]. 2020;3(4):e206785-e206785. DOI: https://doi.org/10.1001/jamanetworkopen.2020.6785

Mesenburg MA, Hallal PC, Menezes AMB, Barros AJD, Horta BL, Hartwig FP, et al. Prevalence of symptoms of Covid-19 in the state of Rio Grande do Sul: results of a population-based study with 18,000 participants. Rev Saude Publica. 2021;55:82.

Castro RR, Santos RSC, Sousa GJB, Pinheiro YT, Martins RRIM, Pereira MLD, et al. Spatial dynamics of the Covid-19 pandemic in Brazil. Epidemiol Infect. 2021 Feb;149:e60.

Sebastião CS, Neto Z, Martinez P, Jandondo D, Antonio J, Galangue M, de Carvalho M, David K, Miranda J, Afonso P, Inglês L, Carrelero RR, de Vasconcelos JN, Morais J. Sociodemographic characteristics and risk factors related to Sars-CoV-2 infection in Luanda, Angola. PLoS One. 2021 Mar. 25;16(3):e0249249. DOI: 10.1371/journal.pone.0249249. Erratum in: PLoS One. 2021 May 20;16(5):e0252254

Cardoso OA, Gomes CC, Cerutti Junior C, Maciel ELN, Alencar FEC de, Almada GL, et al. Prevalência e fatores associados à infecção por Sars-CoV-2: estudo de base populacional seriado, no Espírito Santo, de maio a junho/2020. Epidemiol Serv Saúde [Internet]. 2022;31(2):e2022112. DOI: https://doi.org/10.1590/S1679-49742022000200023

Silva ZP, Ribeiro MC, Barata RB, Almeida MF. Perfil sociodemográfico e padrão de utilização dos serviços de saúde do Sistema Único de Saúde (SUS), 2003-2008. Cien Saude Colet. 2011;16(9):3.807-3.816.

Petersen MS, Kristiansen MF, Hanusson KD, Danielsen ME, Á Steig B, Gaini S, et al. Long Covid in the Faroe Islands: A Longitudinal Study Among Nonhospitalized Patients. Clin Infect Dis an Off Publ Infect Dis Soc Am. 2021 Dec.;73(11):e4058-63.

de Lima Bezerra V, et al. Sars-CoV-2 as the causal agent of Covid-19: Epidemiology, genetic characteristics, clinical manifestations, diagnosis, and potential treatments. Brazilian Journal of Health Review. 2020;3(4):8.452-8.467.

Rothan HA, Byrareddy SN. The epidemiology and pathogenesis of coronavirus disease (Covid-19) outbreak. Journal of Autoimmunity. 2020;102433.

Mehta P, et al. Covid-19: consider cytokine storm syndromes and immunosuppression. Lancet (London, England). 2020;395(10229):1033.

Eshraghi AA, Mirsaeidi M, Davies C, Telischi FF, Chaudhari N, Mittal R. Potential mechanisms for Covid-19 induced anosmia and dysgeusia. Front Physiol. 2020;11.

Xu H, Zhong L, Deng J, Peng J, Dan H, Zeng X, et al. High expression of ACE2 receptor of 2019-nCoV on the epithelial cells of the oral mucosa. Int J Oral Sci. 2020;12(1):8.

Membrilla JA, Caronna E, Trigo-López J, et al. Persistent headache after Covid-19: Pathophysiology, clinic and treatment. Neurol Perspect. 2021;1:S316. DOI: https://doi.org/10.1016/j.neurop.2021.10.003

Cheng H, Wang Y, Wang GQ. Organ-protective effect of angiotensin-converting enzyme 2 and its effect on the prognosis of Covid-19. J Med Virol. 2020 Jul;92(7):726-730. DOI: 10.1002/jmv.25785

Huang C et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Feb 15;395(10223):497-506. DOI: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24. Erratum in: Lancet. 2020 Jan 30; PMID: 31986264; PMCID: PMC7159299.

Yamagata R, Nemoto W, Nakagawasai O, Takahashi K, Tan-No K. Downregulation of spinal angiotensin-converting enzyme 2 is involved in neuropathic pain associated with type 2 diabetes mellitus in mice. Biochem Pharmacol. 2020 Apr.;174:113825. DOI: 10.1016/j.bcp.2020.113825. Epub 2020 Jan 25. PMID: 31987854

Su S, Cui H, Wang T, Shen X, Ma C. Pain: A potential new label of Covid-19. Brain Behav Immun. 2020 Jul;87:159-160. DOI: 10.1016/j.bbi.2020.05.025. Epub 2020 May 7. PMID: 32389704; PMCID: PMC7204693

Öztürk R, Taşova Y, Ayaz A. Covid-19: pathogenesis, genetic polymorphism, clinical features and laboratory findings. Turk J Med Sci. 2020 Apr 21;50(SI-1):638-657. DOI: 10.3906/sag-2005-287. PMID: 32512673

Zhao X, Zhang B, Li P, Ma C, Gu J, Hou P, Guo Z, Wu H, Bai Y. Incidence, clinical characteristics and prognostic factor of patients with Covid-19: a systematic review and meta-analysis; 2020.

Macinko J, Seixas B V., Woolley NO, de Andrade FB, Lima-Costa MF. Prevalence and characteristics of Brazilians aged 50 and over that received a doctor’s diagnosis of Covid-19: The ELSI-Covid-19 initiative. Cad Saude Publica. 2020;36.

Figueiredo A et al. Social determinants of health and Covid-19 infection in brazil. Rev Bras Enferm [Internet]. 2020;73(Suppl 2):1-7. Available from: https://www.scielo.br/pdf/reben/v73s2/0034-7167-reben-73-s2-e20200673.pdf

Minayo MC de S, Freire NP. Pandemia exacerba desigualdades na Saúde. Cien Saude Colet [Internet]. 2020 Sep;25(9):3555–6. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-81232020000903555&tlng=pt

Beese F, Waldhauer J, Wollgast L, Pförtner T-K, Wahrendorf M, Haller S, et al. Temporal Dynamics of Socioeconomic Inequalities in Covid-19 Outcomes Over the Course of the Pandemic-A Scoping Review. Int J Public Health. 2022;67:1605128.

Demenech L et al. Desigualdade econômica e risco de infecção e morte por Covid-19 no Brasil. Rev Bras Epidemiol [Internet]. 2020;23. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2020000100209&tlng=pt

Published

2024-04-05

How to Cite

Saes, M. de O., Rocha, J. Q. S., Rutz, A. A. M., da Silva, C. N., Camilo, L. dos S., de Oliveira, B. C., Ritta, M. de C., Nunes, L. da S., Gonçalves, C. de S., Vieira, Y. P., Garcia Neves, R., & Duro, S. M. S. (2024). Methodological aspects and results of the baseline of the monitoring of health in adults and elderly infected by Sars-Cov-2 (Sulcovid-19). Context and Health Journal, 24(48), e14140. https://doi.org/10.21527/2176-7114.2024.48.14140

Issue

Section

ORIGINAL ARTICLE