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Using statistical analysis and logistic regression to study the effect of CoViD-19 on hospital activities of the C.O.U. general surgery and kidney transplants
2021 International Symposium on Biomedical Engineering and Computational Biology, BECB 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1736141
ABSTRACT
Due to the Sars-Cov-2 pandemic, the entire health sector in all countries around the world had to reorganize. It was not only a question of increasing the number of intensive care places, but all other medical specialties also had to rewrite their protocols. In this context, it is interesting to investigate whether these new measures have changed the volume of activity and the way hospital departments work. The aim of this study is precisely to verify what has happened to the Transplantation and Related Surgery Centre of the "San Giovanni di Dio e Ruggi d'Aragona"University Hospital of Salerno. For this reason, data were collected on patients who were admitted in 2019 (pre-pendemic) and 2020. The statistical analysis carried out showed that nothing had changed in this department in 2020. © 2021 ACM.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies Language: English Journal: 2021 International Symposium on Biomedical Engineering and Computational Biology, BECB 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies Language: English Journal: 2021 International Symposium on Biomedical Engineering and Computational Biology, BECB 2021 Year: 2021 Document Type: Article