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

R. Alfano, I. Loperto, Teresa Angela Trunfio, Cristiana Giglio, Giovanni Rossi, A. Borrelli, A. Scala, P. Gargiulo
{"title":"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","authors":"R. Alfano, I. Loperto, Teresa Angela Trunfio, Cristiana Giglio, Giovanni Rossi, A. Borrelli, A. Scala, P. Gargiulo","doi":"10.1145/3502060.3503655","DOIUrl":null,"url":null,"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.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Symposium on Biomedical Engineering and Computational Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3502060.3503655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
采用统计分析和Logistic回归研究CoViD-19对cou普外科和肾移植医院活动的影响
由于Sars-Cov-2大流行,世界各国的整个卫生部门都不得不进行重组。这不仅是一个增加重症监护病房数量的问题,而且所有其他医学专业也必须重写他们的协议。在这种情况下,调查这些新措施是否改变了活动量和医院部门的工作方式是很有趣的。这项研究的目的正是为了验证萨勒诺“圣乔瓦尼·迪迪奥·鲁吉·达阿拉戈纳”大学医院的移植和相关手术中心发生了什么。为此,收集了2019年(流行病前)和2020年入院患者的数据。进行的统计分析表明,该部门在2020年没有任何变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Self-correction in protoacoustic range verification for different proton pulse widths A comparison of different Machine Learning algorithms for predicting the length of hospital stay for patients undergoing cataract surgery Modelling the hospital length of stay for patients undergoing laparoscopic appendectomy through a Multiple Regression Model Investigation of the risk of surgical infections at the “Federico II” University Hospital by regression analysis using the Firth method Healthcare Associated Infections in the Neonatal Intensive Care Unit of the “Federico II” University Hospital: Statistical Analysis and Study of Risk Factors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1