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Analysis of the Reorganisation of Skin Transplantation Surgeries During the COVID-19 Pandemic

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Biomedical and Computational Biology (BECB 2022)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 13637))

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Abstract

Coronavirus disease has spread throughout the world rapidly and has changed the world health scenario. Each hospital department was faced with an emergency and then reorganized services. The aim of the present work is to assess the impact of the Covid-19 epidemic on the activity of the transplant center in the A.O.R.N. “Antonio Cardarelli” of Naples (Italy). This study was conducted considering all patients undergoing skin transplantation in the years 2019 (in the absence of Covid-19) and 2020 (in the pandemic emergency). In the work, the logistical regression was used to analyze the tie among hospitalization year (as a dependent variable) and the following independent variables: gender, age, Length of stay (LOS), relative weight DRG, discharge mode and admission procedure.

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Author information

Authors and Affiliations

  1. Department of Public Health, University of Naples “Federico II”, Naples, Italy

    Emma Montella, Marta Rosaria Marino & Maria Triassi

  2. University of Rome “La Sapienza”, Rome, Italy

    Cristiana Giglio

  3. A.O.R.N. “Antonio Cardarelli”, Naples, Italy

    Eliana Raiola, Massimo Majolo & Giuseppe Russo

  4. Interdepartmental Center for Research in Healthcare Management and Innovation in Healthcare (CIRMIS), University of Naples “Federico II”, Naples, Italy

    Maria Triassi

  5. Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Naples, Italy

    Teresa Angela Trunfio

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  1. Emma Montella
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Correspondence to Marta Rosaria Marino .

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Editors and Affiliations

  1. University of Technology Sydney, Sydney, NSW, Australia

    Shiping Wen

  2. Nanchang Hangkong University, Nanchang, China

    Cihui Yang

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Montella, E. et al. (2023). Analysis of the Reorganisation of Skin Transplantation Surgeries During the COVID-19 Pandemic. In: Wen, S., Yang, C. (eds) Biomedical and Computational Biology. BECB 2022. Lecture Notes in Computer Science(), vol 13637. Springer, Cham. https://doi.org/10.1007/978-3-031-25191-7_45

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  • DOI: https://doi.org/10.1007/978-3-031-25191-7_45

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