Sars-CoV-2 infection rate in employees of a medium and high complexity hospital

Autores

  • Carolina Jaramillo-López Grupo Gestión del Conocimiento e Innovación Hospital Departamental Tomas Uribe Uribe de Tuluá - Empresa Social del Estado. Tuluá, Colombia https://orcid.org/0000-0002-4096-6518
  • Gustavo Bergonzoli Grupo Gestión del Conocimiento e Innovación Hospital Departamental Tomas Uribe Uribe de Tuluá - Empresa Social del Estado. Tuluá, Colombia https://orcid.org/0000-0001-9728-5329
  • Felipe Tinoco-Zapata Grupo Gestión del Conocimiento e Innovación Hospital Departamental Tomas Uribe Uribe de Tuluá - Empresa Social del Estado. Tuluá, Colombia https://orcid.org/0000-0002-7781-776X
  • Lina Montoya-Restrepo Grupo Gestión del Conocimiento e Innovación Hospital Departamental Tomas Uribe Uribe de Tuluá - Empresa Social del Estado. Tuluá, Colombia. Grupo de Investigación SAMESO https://orcid.org/0000-0002-6198-8484

DOI:

https://doi.org/10.22267/rus.222403.283

Palavras-chave:

Health care workers, Sars_CoV-2 infection, Speed of infection, Kaplan-Meier procedure

Resumo

Introduction: The coronavirus disease 2019 (COVID-19) was originally identified in the city of Wuhan, China, in December 2019. Current evidence indicates that the COVID-19-causing virus is transmitted person-to-person through direct contact and droplets. Objective: To estimate Sars-CoV-2 virus infection rate in hospital employees according to their job responsibilities. Materials and methods: Retrospective cohort study to detect Sars-CoV-2 infection in hospital employees, carried out between February 2020 and October 2021. The Kaplan Meier procedure was carried out to estimate the virus infection rate based on variables such as gender, age and job description. Results: There was a difference in infection rate between young and older adult age groups (Log Rank=18.6 gl=1 p=<0.0001). A significant difference was also found between young adult and older adult groups (Log Rank=10.6 gl= 1 p=0.0011). Conclusions: The older adult group showed a higher infection rate than that observed in younger age groups. These findings highlight the occupational risk of Sars-CoV-2 infection in health workers, especially in older employees. Therefore, it is necessary to maintain safety measures in order to reduce infection risks.

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Referências

World Health Organization. Health workers exposure risk assessment and management in the context of COVID-19 virus. WHO; 2020 Mar 4. Available from: https://apps.who.int/iris/handle/10665/331340

World Health Organization. WHO Director-General’s opening remarks at the media briefing on COVID-19–11 March 2020. Ginebra: WHO; 2020 Mar 11. Available from: https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020

CDC COVID-19 Response Team. Characteristics of Health Care Personnel with COVID-19 - United States, February 12-April 9, 2020. MMWR Morb. Mortal. Wkly. Rep [Online]. 2020 Apr 17; 69(15):477-81. DOI: 10.15585/mmwr.mm6915e6.

Mehta S, Machado F, Kwizera A, Papazian L, Moss M, Azoulay É, et al. COVID-19: a heavy toll on health-care workers. Lancet Respir. Med [Online]. 2021 Mar 1; 9(3):226-8. DOI: 10.1016/S2213-2600(21)00068-0.

Soebandrio A, Kusumaningrum T, Yudhaputri FA, Oktavianthi S, Safari D, Malik SG, et al. COVID-19 prevalence among healthcare workers in Jakarta and neighbouring areas in Indonesia during early 2020 pandemic. Ann. Med [Online]. 2021; 53(1):1896-904. DOI: 10.1080/07853890.2021.

Lee ET. Statistical Methods for Survival Data Analysis. 2nd ed. New York (USA): John Wiley & Sons; 1992. DOI: 10.1002/0471458546.

Gouveia Oliveira A. Biostatistics Decoded. Chichester (GBR): John Wiley & Sons; 2013. DOI: 10.1002/9781118670767.

Le CT. Introductory Biostatistics. New Jersey (USA): John Wiley & Sons; 2003. DOI:10.1002/0471308889.

Schoenfeld D. Partial residuals for the proportional hazards regression model. Biometrika [Online]. 1982 Apr; 69(1):239-41. Available from: https://www.jstor.org/stable/2335876

IBM Inc. SPSS Statistics. Version 26. Available from: https://www.ibm.com/co-es/products/spss-statistics

SAS Institute Inc. SAS Statistical Analysis System. Version 9.4. Available from: https://www.sas.com/en_us/home.html

Garcia-Basteiro AL, Moncunill G, Tortajada M, Vidal M, Guinovart C, Jiménez A, et al. Seroprevalence of antibodies against SARS-CoV-2 among health care workers in a large Spanish reference hospital. Nat. Commun [Online]. 2020 Jul 8; 11(1):3500. DOI: 10.1038/s41467-020-17318-x.

Moscola J, Sembajwe G, Jarrett M, Farber B, Chang T, McGinn T, et al. Prevalence of SARS-CoV-2 Antibodies in Health Care Personnel in the New York City Area. JAMA [Online]. 2020 Sep 1; 324(9):893-5. DOI: 10.1001/jama.2020.14765.

Arentz M, Yim E, Klaff L, Lokhandwala S, Riedo FX, Chong M, et al. Characteristics and Outcomes of 21 Critically Ill Patients With COVID-19 in Washington State. JAMA [Online]. 2020 Apr 28; 323(16):1612-4. DOI: 10.1001/jama.2020.4326.

Sood N, Simon P, Ebner P, Eichner D, Reynolds J, Bendavid E, et al. Seroprevalence of SARS-CoV-2-Specific Antibodies Among Adults in Los Angeles County, California, on April 10-11, 2020. JAMA [Online]. 2020 Jun 16; 323(23):2425-7. DOI: 10.1001/jama.2020.8279.

Steensels D, Oris E, Coninx L, Nuyens D, Delforge M-L, Vermeersch P, et al. Hospital-Wide SARS-CoV-2 Antibody Screening in 3056 Staff in a Tertiary Center in Belgium. JAMA [Online]. 2020 Jul 15; 324(2):195-7. DOI: 10.1001/jama.2020.11160.

Rudberg A-S, Havervall S, Månberg A, Jernbom Falk A, Aguilera K, Ng H, et al. SARS-CoV-2 exposure, symptoms and seroprevalence in healthcare workers in Sweden. Nat. Commun [Online]. 2020 Oct 8; 11(1):5064. DOI: 10.1038/s41467-020-18848-0.

Jacob JT, Baker JM, Fridkin SK, Lopman BA, Steinberg JP, Christenson RH, et al. Risk Factors Associated With SARS-CoV-2 Seropositivity Among US Health Care Personnel. JAMA Netw. Open [Online]. 2021 Mar 1; 4(3):e211283. DOI: 10.1001/jamanetworkopen.2021.1283.

Albuquerque MFPM, de Souza WV, Montarroyos UR, Pereira CR, Braga C, Barreto de Araújo TV, et al. Risk of SARS-CoV-2 infection among front-line healthcare workers in Northeast Brazil: a respondent-driven sampling approach. BMJ Open [Online]. 2022 Jun 6; 12(6):e058369. DOI: 10.1136/bmjopen-2021-058369.

Publicado

2022-12-28

Como Citar

1.
Jaramillo-López C, Bergonzoli G, Tinoco-Zapata F, Montoya-Restrepo L. Sars-CoV-2 infection rate in employees of a medium and high complexity hospital. Univ. Salud [Internet]. 28º de dezembro de 2022 [citado 22º de julho de 2024];24(Suppl 1):279-86. Disponível em: https://revistas.udenar.edu.co/index.php/usalud/article/view/7601

Edição

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Artigo de pesquisa científica e tecnológica

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