Taxa de infecção por COVID-19 e tempo gasto em casa: análise do começo da pandemia

Autores

DOI:

https://doi.org/10.17058/reci.v12i2.16290

Palavras-chave:

Epidemiology, Pandemics, Coronavirus Infections, Mortality.

Resumo

Justificativa e objetivos: Evidências sugerem que as dificuldades no controle epidemiológico impedem a retomada das atividades socioeconômicas.  Diante disso, tivemos os objetivos de descrever aspectos epidemiológicos e o padrão de mobilidade em cada continente e verificar a associação entre a taxa de infecção por COVID-19 e o tempo de permanência em casa. Métodos: Analisamos relatórios de Global Positioning System de 97 países e seus indicadores epidemiológicos até 27 de maio de 2020. Resultados: Casos de COVID-19 variaram de 22 a 1.745.803, e as mortes variaram de 0 a 102.107. Maiores taxas por 100.000 habitantes foram observadas na Europa e América. Aproximadamente 54% dos casos de COVID-19 ocorreram na América e 51% dos óbitos na Europa. Os países reduziram a mobilidade no varejo e recreação (-43,45% ± 20,42%), mercearia e farmácia (-17,95%±20,82%), parques (-18,77%±37,34%), estações de trânsito (-43,09%±20,31%), locais de trabalho (-21,74%±19,92%), e aumentaram o tempo em casa (13,00% ± 8,80%). A regressão linear mostrou que os habitantes europeus ficaram menos tempo em casa do que os habitantes do continente americano (β=-4,933, EP=0,976, p<0,001). Além disso, cada unidade de aumento na taxa de infecção por 100.000 habitantes aumentou 0,005 pontos no tempo médio de permanência em casa (β=0,005, EP=0,001, p<0,001). Conclusões: Fornecemos evidências de que o aumento da taxa de infecção por COVID-19 está associado ao aumento do tempo de permanência em casa. Como lição principal, a COVID-19 mostrou que, na ausência de recursos farmacológicos, as autoridades governamentais precisam agir rapidamente para conter a propagação de doenças infecciosas.

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Referências

World Health Organization [WHO]. Coronavirus disease 2019 (COVID-19): situation report, 30; 2020. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports

Aquino EML, Silveira IH, Pescarini JM, et al. Social distancing measures to control the COVID-19 pandemic: potential impacts and challenges in Brazil. Cien Saude Colet. 2020;25:2423-2446. https://doi.org/10.1590/1413-81232020256.1.10502020.

Finazzi F, Fassò A. The impact of the Covid‐19 pandemic on Italian mobility. Significance (Oxford, England). 2020;17(3):17. https://doi.org/10.1111/1740-9713.01400.

Carnut L, Mendes Á, Guerra L. Coronavirus, Capitalism in Crisis and the Perversity of Public Health in Bolsonaro's Brazil. Int J Health Serv. 2021;51(1):18-30. https://doi.org/10.1177/0020731420965137.

Gori Maia A, Marteleto L, Rodrigues CG, et al. The short-term impacts of coronavirus quarantine in São Paulo: The health-economy trade-offs. PLoS One .2021;16(2):e0245011. https://doi.org/10.1371/journal.pone.0245011.

Correia S, Luck S, Verner E. Pandemics Depress the Economy, Public Health Interventions Do Not: Evidence from the 1918 Flu; 2020. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3561560.

Lo Muzio L, Ambosino M, Lo Muzio E, et al. SARS-CoV-2 Reinfection Is a New Challenge for the Effectiveness of Global Vaccination Campaign: A Systematic Review of Cases Reported in Literature. Int J Environ Res Public Health. 2021;18(20):11001. https://doi.org/10.3390/ijerph182011001.

Callaway E. Could new COVID variants undermine vaccines? Labs scramble to find out. Nature 2021:177-178. https://doi.org/10.1038/d41586-021-00031-0.

Google. Covid-19: Community Mobility Reports; 2020. https://www.google.com/covid19/mobility/.

Worldometer. Covid-19 coronavirus pandemic; 2020. https://www.worldometers.info/coronavirus/.

Our World in Data. Coronavirus (COVID-19) Cases: statistics and research; 2020. https://ourworldindata.org/covid-cases2020.

International Monetary Fund [IMF]; 2020. https://pt.countryeconomy.com/paises/grupos/fmi.

Knoema. World Data Atlas; 2020. https://pt.knoema.com/2020.

Bulfone TC, Malekinejad M, Rutherford GW, et al. Outdoor Transmission of SARS-CoV-2 and Other Respiratory Viruses: A Systematic Review. J Infect Dis. 2021;223(4):550-561. https://doi.org/10.1093/infdis/jiaa742.

Faridi S, Niazi S, Sadeghi K, et al. A field indoor air measurement of SARS-CoV-2 in the patient rooms of the largest hospital in Iran. Sci Total Environ. 2020:138401. https://doi.org/10.1016/j.scitotenv.2020.138401.

Ehsanifar M. Airborne aerosols particles and COVID-19 transition. Environ Res. 2021;200:111752. https://doi.org/10.1016/j.envres.2021.111752.

Guo ZD, Wang ZY, Zhang SF, et al. Aerosol and Surface Distribution of Severe Acute Respiratory Syndrome Coronavirus 2 in Hospital Wards, Wuhan, China, 2020. Emerg Infect Dis. 2020;26(7):1583-91. https://doi.org/10.3201/eid2607.200885.

World Health Organization [WHO]. Modes of transmission of virus causing COVID-19: implications for IPC precaution recommendations: scientific brief. https://www.who.int/news-room/commentaries/detail/modes-of-transmission-of-virus-causing-covid-19-implications-for-ipc-precaution-recommendations.

Tabatabaeizadeh S-A. Airborne transmission of COVID-19 and the role of face mask to prevent it: a systematic review and meta-analysis. Eur J Med Res. 2021;26(1):1. https://doi.org/10.1186/s40001-020-00475-6.

Cousins S. New Zealand eliminates COVID-19. Lancet. 2020;395(10235):1474. https://doi.org/10.1016/S0140-6736(20)31097-7.

Idrovo AJ, Manrique-Hernández EF, Fernández Niño JA. Report from Bolsonaro's Brazil: The Consequences of Ignoring Science. Int J Health Serv. 2021;51(1):31-6. https://doi.org/10.1177/0020731420968446.

Sabino EC, Buss LF, Carvalho MPS, et al. Resurgence of COVID-19 in Manaus, Brazil, despite high seroprevalence. Lancet. 2021;397(10273):452-455. https://doi.org/10.1016/s0140-6736(21)00183-5.

Buss LF, Prete CA Jr., Abrahim CMM, et al. Three-quarters attack rate of SARS-CoV-2 in the Brazilian Amazon during a largely unmitigated epidemic. Science. 2021;371(6526):288-292. https://doi.org/10.1126/science.abe9728.

Faria NR, Claro IM, Candido D, et al. Genomic characterisation of an emergent SARS-CoV-2 lineage in Manaus: preliminary findings; 2021. https://virological.org/t/genomic-characterisation-of-an-emergent-sars-cov-2-lineage-in-manaus-preliminary-findings/586.

Francisco RDS, Benites LF, Lamarca AP, et al. Pervasive transmission of E484K and emergence of VUI-NP13L with evidence of SARS-CoV-2 co-infection events by two different lineages in Rio Grande do Sul, Brazil. Virus Res. 2021;296:198345. https://doi.org/10.1016/j.virusres.2021.198345.

Publicado

2022-08-26

Como Citar

Soares, V. N., Yoshida, H. M., Leme, D. E. da C., Sampaio, R. A. C., Rufino, G. de O., & Fernandes, P. T. (2022). Taxa de infecção por COVID-19 e tempo gasto em casa: análise do começo da pandemia. Revista De Epidemiologia E Controle De Infecção, 12(2). https://doi.org/10.17058/reci.v12i2.16290

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ARTIGO ORIGINAL