洗手和抗菌剂对细菌计数的影响

Emily Hissom
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摘要

使用无菌技术是日常的做法,这只是采取的行动,以防止细菌和其他微生物的积累,以防止疾病及其传播。洗手是手卫生的一个重要方面,因为手从表面携带微生物,并且很容易通过直接接触或间接接触在人与人之间传播。根据疾病预防控制中心和世界卫生组织的说法,许多疾病都是由于不洗手而传播的,因此洗手卫生在社会的任何地方都很重要,特别是在疾病传播可能意味着生命或死亡的医疗保健领域。在这项研究中,我们分析了从西弗吉尼亚州查尔斯顿大学微生物课的学生群体中收集的9年(2014年至今)的数据。在操作(对照组)前,我们测量了学生手上的菌落形成单位(CFU)的数量,使用清水,使用肥皂和水,以及使用洗手液。我们假设,与对照组相比,洗手和使用抗菌辅助工具(如洗手液)可以减少手上的细菌数量。还进行了一项分析,比较大流行前和大流行后的数据,以确定洗手行为是否改变了行为,从而改变了手上正常的微动物群。该分析显示,洗手方式之间存在显著差异(p<0.001)。大流行前后菌落形成单位的形成存在差异(p<0.001)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of Handwashing and Antimicrobials on Bacterial Counts
It is everyday practice to utilize aseptic techniques, which are simply actions taken to prevent the accumulation of bacteria and other microbes to prevent diseases and their spread. Handwashing is an important aspect of hand hygiene because hands pick up the microbes from surfaces and are easily transported from person to person through direct contact or indirect contact. According to the CDC and WHO, many diseases are spread by not washing hands effectively, therefore hand hygiene is important everywhere in society, especially in healthcare where the spread of disease can mean life or death. In this study, we analyzed data collected from the student population of microbiology classesfrom the University of Charleston in West Virginia over the span of nine years (2014 to present). We measured the number of colony forming units (CFU) from students’ hands prior to manipulation (control), using just water, using soap and water, and using hand sanitizer. We hypothesized that handwashing and use of antimicrobial aids such as hand sanitizer will reduce the number of bacteria on hands compared to controls. An analysis was also performed comparing pre-pandemic and post-pandemic data to determine if handwashing behaviors have changed behavior which would alter the normal microfauna on the hands. This analysis revealed that there was a significant difference between handwashing techniques (p<0.001). There was a difference in formation of colony forming units between pre and post pandemic times (p<0.001).
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