Agreement to the flexibility measures during the covid-19 pandemic in Brazil
DOI:
https://doi.org/10.4025/ciencuidsaude.v22i0.66049Keywords:
COVID-19, Pandemic, Socioeconomic factorsAbstract
Objective: to analyze the factors associated with agreement with the flexibility of protection measures in Brazil during the COVID-19 pandemic. Method: cross-sectional study with data from a websurvey conducted with adults living in Brazil, between August 2020 and February 2021. Results: of the 1,516 respondents, the majority were aged between 40 and 59 years (38.8%), female (69.4%), graduate level (48%), white race/color (64.2%), separated/single (48.3%). Most participants agreed with the flexibility measures (41.1%), but considered the environments not suitable or inadequate for the resumption of daily activities (except for places open for physical activities). The measures implemented by the State during the COVID-19 pandemic were also seen as nothing and inadequate. There was a greater chance of agreement with the flexibility measures among people who lived with workers exposed to the risk of contracting COVID-19. Conclusion: em geral, houve concordância com as medidas de flexibilização no país. Morar/conviver com trabalhadores expostos ao risco de contrair a COVID-19 foi o principal fator associado à maior chance de concordar com as medidas de flexibilização, o que sinaliza a carga biopsicossocial trazida pela doença.
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References
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2. Malta DC, Szwarcwald CL, Barros MBA, Gomes CS, Machado Ã, Souza Júnior PRB, et al. The COVID-19 Pandemic and changes in adult Brazilian lifestyles: a cross-sectional study, 2020. EpidemiolServSaude. 2020; 29(4):e2020407. DOI: https://doi.org/10.1590/S1679-49742020000400026
3. Souza-Junior JR, Cruz RCR, Cardoso-Brito V, Santos ELS, Fontes-Dutra M, Freitas IM, et al. COVID-19 e a promoção da saúde em tempos de pandemia. REAS. 2020;Vol.Esp.46:e3837. DOI: https://doi.org/10.25248/reas.e3837.2020
4. Calil GG. A negação da pandemia: reflexões sobre a estratégia bolsonarista. Rev. Soc. Soc. 2021;140:30-47. DOI: https://doi.org/10.1590/0101-6628.236
5. Minayo MCS, Freire NP. Pandemia exacerba desigualdades na Saúde. Ciênc. Saúde Colet 2020;25(9): 3555-3556. DOI: https://doi.org/10.1590/1413-81232020259.13742020
6. Houvèssou GM, Souza TP, Silveira MFD. Lockdown-type containment measures for COVID-19 prevention and control: a descriptive ecological study with data from South Africa, Germany, Brazil, Spain, United States, Italy and New Zealand, February - August 2020. Epidemiol Serv Saude. 2021;30(1):e2020513. DOI: https://doi.org/10.1590/S1679-49742021000100025
7. Zheng C, Shao W, Chen X, Zhang B, Wang G, Zhang W. Real-world effectiveness of COVID-19 vaccines: a literature review and meta-analysis. Int J Infect Dis. 2022;114:252-60. DOI: https://doi.org/10.1016/j.ijid.2021.11.009
8. Talic S, Shah S, Wild H, Gasevic D, Maharaj A, Ademi Z, et al. Effectiveness of public health measures in reducing the incidence of covid-19, SARS-CoV-2 transmission, and covid-19 mortality: systematic review and meta-analysis. BMJ. 2021;375:e068302. DOI: https://doi.org/10.1136/bmj-2021-068302
9. Walker PGT, Whittaker C, Watson OJ, Baguelin M, Winskill P, Hamlet A, et al. The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries. Science. 2020;369(6502):413-22. DOI: https://doi.org/10.1126/science.abc0035
10. Cataldo R, Arancibia M, Stojanova J, Papuzinski C. General concepts in biostatistics and clinical epidemiology: Observational studies with cross-sectional and ecological designs. Medwave. 2019;19(8):e7698. DOI: https://doi.org/10.5867/medwave.2019.08.7698
11. Leighton K, Kardong-Edgren S, Schneidereith T, Foisy-Doll C. Using Social Media and Snowball Sampling as an Alternative Recruitment Strategy for Research. Clinical Simulation in Nursing. 202;55:37-42. DOI: http://dx.doi.org/10.1016/j.ecns.2021.03.006
12. Palinkas LA, Horwitz SM, Green CA, Wisdom JP, Duan N, Hoagwood K. Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research. Adm Policy Ment Health. 2015;42(5):533-44. DOI: https://doi.org/10.1007%2Fs10488-013-0528-y
13. Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O'Neal L, et al. The REDCap consortium: Building an international community of software platform partners. J Biomed Inform. 2019;95:103208. DOI: https://doi.org/10.1016/j.jbi.2019.103208
14. Rumel D. [The "odds ratio": various considerations]. RevSaude Publica. 1986;20(3):253-8. DOI: https://doi.org/10.1590/s0034-89101986000300011
15. BRASIL. Governo Federal. Ministério da Saúde (BR). Conselho Nacional de Saúde. RESOLUÇÃO Nº 466, DE 12 DE DEZEMBRO DE 2012. Brasília: Ministério da Saúde, 2023 [acesso em: 03 abr 2023]. Availablefrom: https://conselho.saude.gov.br/resolucoes/2012/Reso466.pdf.
16. Moraes RF. Ciência e pseudociência durante a pandemia de Covid-19: o papel dos “intermediários do conhecimento” nas políticas dos governos estaduais no Brasil. Brasília: Instituto de Pesquisa Econômica Aplicada (Ipea), 2022 [acesso em: 03 abr 2023]. Availablefrom: https://repositorio.ipea.gov.br/handle/11058/10900
17. Brah A. Diferença, diversidade, diferenciação. Cadernos pagu. 2006:329-76. DOI: https://doi.org/10.1590/S0104-83332006000100014
18. Morante-García W, Zapata-Boluda RM, García-González J, Campuzano-Cuadrado P, Calvillo C, Alarcón-Rodríguez R. Influence of Social Determinants of Health on COVID-19 Infection in Socially Vulnerable Groups. Int J Environ Res Public Health. 2022;19(3). DOI: https://doi.org/10.3390/ijerph19031294
19. Boing AF, Boing AC, Veras MA, de Lacerda JT, da Silva RLP, Barbato PR, et al. Area-level inequalities in Covid-19 outcomes in Brazil in 2020 and 2021: An analysis of 1,894,165 severe Covid-19 cases. Prev Med. 2022;164:107298. DOI: https://doi.org/10.1016/j.ypmed.2022.107298
20. Mattei L, Heinen VL. Balanço dos impactos da crise da COVID-19 sobre o mercado de trabalho brasileiro em 2020. RevistaKatálysis. 2022;25:43-61. DOI: https://doi.org/10.1590/1982-0259.2022.e82492
21. Lam LT, Lam MK, Reddy P, Wong P. Factors Associated with Work-Related Burnout among Corporate Employees Amidst COVID-19 Pandemic. Int J Environ Res Public Health. 2022;19(3). DOI: https://doi.org/10.3390/ijerph19031295
22. Arcêncio RA. Reiterando o sentido da epidemiologia social na compreensão das desigualdades e avanço da equidade em tempos da COVID-19. Anais do Instituto de Higiene e Medicina Tropical. 2021;20:74-77. DOI: https://doi.org/10.25761/anaisihmt.375
23. Souza CDF. In times of COVID-19, epidemiology is a unifying science. Rev Assoc Med Bras. 2020;66(Suppl 2):27-30. DOI: https://doi.org/10.1590/1806-9282.66.S2.27
24. Ichisato SMT, Oliveira RRd, Salci MA. O compromisso da ciência em investigar o comportamento da COVID-19 Ã longo prazo. Ciência, Cuidado e Saúde. 2021;20:e61430-e. DOI: http://dx.doi.org/10.4025/cienccuidsaude.v20i0.61430.
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2023-06-07
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Agreement to the flexibility measures during the covid-19 pandemic in Brazil. (2023). Ciência, Cuidado E Saúde, 22. https://doi.org/10.4025/ciencuidsaude.v22i0.66049
