Capacidade do isolamento domiciliar após o diagnóstico de Covid-19 em comunidades populares de duas cidades brasileiras: Estudo TQT Covid-19
DOI:
https://doi.org/10.11606/s1518-8787.2026060006674Palavras-chave:
Covid-19, Isolamento Social, Saúde Pública, Epidemiologia, BrasilResumo
OBJETIVO: Investigar os fatores associados à capacidade autorreferida de cumprimento do isolamento domiciliar após o diagnóstico de Covid-19 em comunidades vulnerabilizadas de duas cidades brasileiras. MÉTODOS: Estudo de corte transversal com dados de um estudo de implementação de uma intervenção baseada em estratégias de testagem, isolamento, quarentena e telemonitoramento (TQT) para Covid-19 na Atenção Primária à Saúde em bairros vulnerabilizados (Estudo TQT Covid-19). Foram utilizados dados demográficos, socioeconômicos e comportamentais para realizar análises descritivas e de regressão logística, visando avaliar os fatores associados à capacidade de isolamento domiciliar. RESULTADOS: A amostra foi composta por 324 participantes, sendo a maioria do sexo feminino (72,5%) e autodeclarada preta ou parda (85,2%). Em relação à escolaridade, 20,1% possuíam até o ensino fundamental; 42%, ensino médio; e 37,9%, ensino superior ou pós-graduação. A densidade de pessoas por cômodo foi alta em 57,1% dos domicílios. Na análise multivariada, a alta densidade domiciliar (≥ 0,5 moradores/cômodo) esteve significativamente associada a menor capacidade de isolamento (ORa = 0,41; IC95% 0,20–0,82). As demais variáveis sociodemográficas e comportamentais, incluindo idade, sexo, raça/cor, escolaridade, histórico de infecção por Covid-19, acesso aos serviços de saúde e comportamentos preventivos, não apresentaram associação estatisticamente significativa. CONCLUSÃO: O estudo indica que condições habitacionais, especialmente a alta densidade domiciliar, podem ser um determinante para a adesão ao isolamento domiciliar. Assim, estratégias inovadoras de prevenção devem combinar ações educativas e estruturais que considerem o contexto domiciliar de famílias em situação de vulnerabilidade.
Referências
1. WHO. Coronavirus disease 2019 (Covid-19): situation report, 73. WHO; 2020.
2. Yang J, Zheng Y, Gou X, Pu K, Chen Z, Guo Q, et al. Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis. Int J Infect Dis. 2020;94:91-5. https://doi.org/10.1016/j.ijid.2020.03.017
3. Aquino EML, Silveira IH, Pescarini JM, Aquino R, Souza-Filho JA, Rocha AS, et al. Social distancing measures to control the Covid-19 pandemic: potential impacts and challenges in Brazil. Ciênc Saúde Colet. 2020;25(Supl. 1):2423-46. https://doi.org/10.1590/1413-81232020256.1.10502020
4. Assis SJC, Lopes JM, Guedes MBOG, Sanchis GJB, Araujo DN, Roncalli AG. Primary health care and social isolation against Covid-19 in Northeastern Brazil: Ecological time-series study. PLoS One. 2021;16(5):e0250493. https://doi.org/10.1371/journal.pone.0250493
5. Faria de Moura Villela E, López RVM, Sato APS, de Oliveira FM, Waldman EA, Van den Bergh R, et al. Covid-19 outbreak in Brazil: adherence to national preventive measures and impact on people's lives, an online survey. BMC Public Health. 2021;21(1):152. https://doi.org/10.1186/s12889-021-10222-z
6. Ortelan N, Ferreira AJF, Leite L, Pescarini JM, Souto AC, Barreto ML, et al. Máscaras de tecido em locais públicos: intervenção essencial na prevenção da Covid-19 no Brasil. Ciênc Saúde Colet. 2021;26:669-92.
7. Flaxman S, Mishra S, Gandy A, Unwin HJT, Mellan TA, Coupland H, et al. Estimating the effects of non-pharmaceutical interventions on Covid-19 in Europe. Nature. 2020;584(7820):257-61. https://doi.org/10.1038/s41586-020-2405-7
8. Davies NG, Klepac P, Liu Y, Prem K, Jit M; CMMID Covid-19 working group; Eggo RM. Age-dependent effects in the transmission and control of Covid-19 epidemics. Nat Med. 2020;26(8):1205-11. https://doi.org/10.1038/s41591-020-0962-9
9. Medina MG, Giovanella L, Bousquat A, Mendonça MHM, Aquino R. Primary healthcare in times of Covid-19: what to do? Cad Saúde Pública. 2020;36(8):e00149720. https://doi.org/10.1590/0102-311x00149720
10. Macinko J, Harris MJ. Brazil's family health strategy--delivering community-based primary care in a universal health system. N Engl J Med. 2015;372(23):2177-81. https://doi.org/10.1056/NEJMp1501140
11. De Matos DG, Aidar FJ, Almeida-Neto PF de, Moreira OC, Souza RF, Marçal AC, et al. The impact of measures recommended by the government to limit the spread of coronavirus (Covid-19) on physical activity levels, quality of life, and mental health of Brazilians. Sustainability 2020;12(21):9072. https://doi.org/10.3390/su12219072
12. Sott MK, Bender MS, da Silva Baum K. Covid-19 outbreak in Brazil: health, social, political, and economic implications. Int J Health Serv. 2022;52(4):442-54. https://doi.org/10.1177/00207314221122658
13. Almeida GB, Vilches TN, Ferreira CP, Fortaleza CMCB. Addressing the Covid-19 transmission in inner Brazil by a mathematical model. Sci Rep. 2021;11(1):10760. https://doi.org/10.1038/s41598-021-90118-5
14. dos Santos Alves JC, Ribeiro CJN, Lima SVMA, Morato GS, Andrade LA, Santos MB, et al. Did the Covid-19 pandemic disproportionately affect the most socioeconomically vulnerable areas of Brazil? Covid. 2023;3(6):924-36. https://doi.org/10.3390/Covid3060067
15. Dos Santos M, Oliveira Penteado J, de Lima Brum R, da Silva Bonifácio A, Florêncio Ramires P, de Franceschi Gariboti D, et al. Ethnic/racial disparity in mortality from Covid-19: data for the year 2020 in Brazil. Spat Demogr. 2023;11(1):1-17. https://doi.org/10.1007/s40980-022-00112-2
16. Magno L, Rossi TRA, Castanheira D, Torres TS, Santos CCD, Soares F, et al. Expansion of testing, isolation, quarantine, e-health and telemonitoring strategies in socioeconomically vulnerable neighbourhoods at primary healthcare in the fight against Covid-19 in Brazil: a study protocol of a multisite testing intervention using a. BMJ Open. 2023;13(6):e068016. https://doi.org/10.1136/bmjopen-2022-068016
17. Silva SBT, Victor A, Gotine AREM, de Assis DM, Wada MY, do Carmo GMI, et al. Factors associated with death from Covid-19 in traditional peoples and communities in Brazil. PLoS One. 2025;20(7):e0327140. https://doi.org/10.1371/journal.pone.0327140
18. Sundaram SS, Melquist S, Kalgotra P, Srinivasan S, Parasa S, Desai M, et al. Impact of age, sex, race, and regionality on major clinical outcomes of Covid-19 in hospitalized patients in the United States. BMC Infect Dis. 2022;22(1):659. https://doi.org/10.1186/s12879-022-07611-z
19. Raza SA, Zhang X, Oluyomi A, Adepoju OE, King B, Amos CI, et al. Predictors of Covid-19 perceived susceptibility: insights from population-based self-reported survey during lockdown in the United States. J Infect Public Health. 2022;15(5):508-14. https://doi.org/10.1016/j.jiph.2022.03.012
20. Ghosh AK, Venkatraman S, Soroka O, Reshetnyak E, Rajan M, An A, et al. Association between overcrowded households, multigenerational households, and Covid-19: a cohort study. Public Health. 2021;198:273-9. https://doi.org/10.1016/j.puhe.2021.07.039
21. Aldridge RW, Pineo H, Fragaszy E, Eyre MT, Kovar J, Nguyen V, et al. Household overcrowding and risk of SARS-CoV-2: analysis of the Virus Watch prospective community cohort study in England and Wales. Wellcome Open Res. 2021;6:347. https://doi.org/10.12688/wellcomeopenres.17308.1
22. Omaleki V, Vo AV, Flores M, Majnoonian A, Le T, Nguyen M, et al. "It's hard for everyone" systemic barriers to home confinement to prevent community spread of Covid-19. Transl Behav Med. 2023;13(2):64-72. https://doi.org/10.1093/tbm/ibac074
23. Smith LE, Amlȏt R, Lambert H, Oliver I, Robin C, Yardley L, et al. Factors associated with adherence to self-isolation and lockdown measures in the UK: a cross-sectional survey. Public Health. 2020;187:41-52. https://doi.org/10.1016/j.puhe.2020.07.024
24. Smith LE, Martin AF, Brooks SK, Davies R, Stein MV, Amlôt R, et al. Measuring and increasing rates of self-isolation in the context of Covid-19: a systematic review with narrative synthesis. Public Health. 2024;234:224-35. https://doi.org/10.1016/j.puhe.2024.05.030
25. de Souza CDF, Machado MF, do Carmo RF. Human development, social vulnerability and Covid-19 in Brazil: a study of the social determinants of health. Infect Dis Poverty. 2020;9(1):124. https://doi.org/10.1186/s40249-020-00743-x
26. Xavier DR, Lima E Silva E, Lara FA, E Silva GRR, Oliveira MF, Gurgel H, et al. Involvement of political and socio-economic factors in the spatial and temporal dynamics of Covid-19 outcomes in Brazil: A population-based study. Lancet Reg Health Am. 2022;10:100221. https://doi.org/10.1016/j.lana.2022.100221
27. López M, Gallego C, Abós-Herrándiz R, Tobella A, Turmo N, Monclús A, et al. Impact of isolating Covid-19 patients in a supervised community facility on transmission reduction among household members. J Public Health (Oxf). 2021;43(3):499-507. https://doi.org/10.1093/pubmed/fdab002
28. Fulone I, Barreto JOM, Barberato-Filho S, Bergamaschi C de C, Lopes LC. Improving the adherence to Covid-19 preventive measures in the community: Evidence brief for policy. Front Public Health. 2022;10:894958. https://doi.org/10.3389/fpubh.2022.894958
29. Tay EH, Shafie S, Shahwan S, Zhang Y, Wang P, Staghare P, et al. Adherence to Covid-19 measures and the associated factors: evidence from a two-wave longitudinal study in Singapore. BMC Public Health. 2024;24:2839. https://doi.org/10.1186/s12889-024-20256-8
30. de Arruda RG, de Menezes TA, dos Santos JMA, Paez A, Lopes F. The effect of politician denialist approach on Covid-19 cases and deaths. EconomiA. 2021;22(3):214-24. https://doi.org/10.1016/j.econ.2021.11.007
31. Razafindrakoto M, Roubaud F, Castilho MR, Pero V, Saboia J. Investigating the ‘Bolsonaro effect’ on the spread of the Covid-19 pandemic: An empirical analysis of observational data in Brazil. PLoS One. 2024;19(4):e0288894. https://doi.org/10.1371/journal.pone.0288894
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Direitos autorais (c) 2026 Audêncio Victor, Fabiane Soares, Diana Zeballos, Thais Aranha Rossi, Joilson Nascimento Paim, Thiago Silva Torres, Debora Castanheira, Valdiléia Gonçalves Veloso, Inês Dourado, Laio Magno
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
