Yıl: 2024 Cilt: 6 Sayı: 1 Sayfa Aralığı: 44 - 54 Metin Dili: İngilizce DOI: 10.36519/idcm.2024.315 İndeks Tarihi: 04-04-2024

Infection Risk Prediction in Healthcare Settings: Lessons from COVID-19 Contact Tracing

Öz:
Objective: Contact tracing aids epidemic control by enabling early detection and isolation without overburdening healthcare systems despite potential challenges. This study aimed to evaluate the practical application of contact and risk assessment-based models in predicting SARS-CoV-2 infection following exposure among healthcare workers in a large tertiary public university hospital in Türkiye. Material and Methods: The study was designed as a retrospective cohort study, including contact tracing data from 3389 exposed healthcare workers from March 23, 2020, to October 22, 2021. Contact-based (mask use, contact duration and distance) and exposure risk-assessment-based (low, medium, high-risk) models with and without having symptoms were generated using logistic regression. SARS-CoV-2 infection was defined as having a positive SARS-CoV-2 RT-PCR test result. Adjustments were made to the models for demographic and occupational variables, previous infection, and vaccination. Model parameters were compared. Results: Of 3389 exposed healthcare workers, 2451 underwent RT-PCR testing. Among those tested, RT-PCR positivity was 5.9% (144/2451). Lack of personal protective equipment use (odds ratio [OR]=1.64, 95% confidence interval [CI]=1.03-2.66) and ≥15 minutes of contact duration (1.89, 1.21-3.09) were significantly associated with RT-PCR positivity. In the risk-assessment model, being a high-risk contact increased the odds of RT-PCR positivity (OR=2.76, 95% CI=1.61-5.03). Adding the presence of symptoms to contact-based and risk assessment models improved model parameters (Akaike information criterion [AIC]: from 1086.1 to 1083.1; Tjur’s R2: from 0.016 to 0.019, respectively). Conclusion: The inclusion of being symptomatic improved the contact-based and risk assessment-based models. Institutions should be encouraged to incorporate symptom inquiries into risk assessment protocols in response to newly emerging respiratory virus epidemics. Institutions lacking the capacity for extensive contact tracing are recommended, at minimum, to track symptomatic exposed workers for epidemic control.
Anahtar Kelime: COVID-19 health personnel contact tracing risk assessment healthcare worker

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA Keskin S, Emecen A, Ergör A (2024). Infection Risk Prediction in Healthcare Settings: Lessons from COVID-19 Contact Tracing. , 44 - 54. 10.36519/idcm.2024.315
Chicago Keskin Salih,Emecen Ahmet Naci,Ergör Alp Infection Risk Prediction in Healthcare Settings: Lessons from COVID-19 Contact Tracing. (2024): 44 - 54. 10.36519/idcm.2024.315
MLA Keskin Salih,Emecen Ahmet Naci,Ergör Alp Infection Risk Prediction in Healthcare Settings: Lessons from COVID-19 Contact Tracing. , 2024, ss.44 - 54. 10.36519/idcm.2024.315
AMA Keskin S,Emecen A,Ergör A Infection Risk Prediction in Healthcare Settings: Lessons from COVID-19 Contact Tracing. . 2024; 44 - 54. 10.36519/idcm.2024.315
Vancouver Keskin S,Emecen A,Ergör A Infection Risk Prediction in Healthcare Settings: Lessons from COVID-19 Contact Tracing. . 2024; 44 - 54. 10.36519/idcm.2024.315
IEEE Keskin S,Emecen A,Ergör A "Infection Risk Prediction in Healthcare Settings: Lessons from COVID-19 Contact Tracing." , ss.44 - 54, 2024. 10.36519/idcm.2024.315
ISNAD Keskin, Salih vd. "Infection Risk Prediction in Healthcare Settings: Lessons from COVID-19 Contact Tracing". (2024), 44-54. https://doi.org/10.36519/idcm.2024.315
APA Keskin S, Emecen A, Ergör A (2024). Infection Risk Prediction in Healthcare Settings: Lessons from COVID-19 Contact Tracing. Infectious diseases and clinical microbiology (Online), 6(1), 44 - 54. 10.36519/idcm.2024.315
Chicago Keskin Salih,Emecen Ahmet Naci,Ergör Alp Infection Risk Prediction in Healthcare Settings: Lessons from COVID-19 Contact Tracing. Infectious diseases and clinical microbiology (Online) 6, no.1 (2024): 44 - 54. 10.36519/idcm.2024.315
MLA Keskin Salih,Emecen Ahmet Naci,Ergör Alp Infection Risk Prediction in Healthcare Settings: Lessons from COVID-19 Contact Tracing. Infectious diseases and clinical microbiology (Online), vol.6, no.1, 2024, ss.44 - 54. 10.36519/idcm.2024.315
AMA Keskin S,Emecen A,Ergör A Infection Risk Prediction in Healthcare Settings: Lessons from COVID-19 Contact Tracing. Infectious diseases and clinical microbiology (Online). 2024; 6(1): 44 - 54. 10.36519/idcm.2024.315
Vancouver Keskin S,Emecen A,Ergör A Infection Risk Prediction in Healthcare Settings: Lessons from COVID-19 Contact Tracing. Infectious diseases and clinical microbiology (Online). 2024; 6(1): 44 - 54. 10.36519/idcm.2024.315
IEEE Keskin S,Emecen A,Ergör A "Infection Risk Prediction in Healthcare Settings: Lessons from COVID-19 Contact Tracing." Infectious diseases and clinical microbiology (Online), 6, ss.44 - 54, 2024. 10.36519/idcm.2024.315
ISNAD Keskin, Salih vd. "Infection Risk Prediction in Healthcare Settings: Lessons from COVID-19 Contact Tracing". Infectious diseases and clinical microbiology (Online) 6/1 (2024), 44-54. https://doi.org/10.36519/idcm.2024.315