Department of Environmental Science, University of Arizona, Tucson, AZ, USA.
EPSRC Centre for Doctoral Training in Fluid Dynamics, University of Leeds, Leeds, UK.
Food Environ Virol. 2024 Mar;16(1):65-78. doi: 10.1007/s12560-023-09580-1. Epub 2024 Feb 19.
Restroom use has been implicated in a number of viral outbreaks. In this study, we apply quantitative microbial risk assessment to quantify the risk of viral transmission by contaminated restroom fomites. We estimate risk from high-touch fomite surfaces (entrance/exit door, toilet seat) for three viruses of interest (SARS-CoV-2, adenovirus, norovirus) through eight exposure scenarios involving differing user behaviors, and the use of hand sanitizer following each scenario. We assessed the impacts of several sequences of fomite contacts in the restroom, reflecting the variability of human behavior, on infection risks for these viruses. Touching of the toilet seat was assumed to model adjustment of the seat (open vs. closed), a common touch point in single-user restrooms (home, small business, hospital). A Monte Carlo simulation was conducted for each exposure scenario (10,000 simulations each). Norovirus resulted in the highest probability of infection for all exposure scenarios with fomite surfaces. Post-restroom automatic-dispensing hand sanitizer use reduced the probability of infection for each virus by up to 99.75%. Handwashing within the restroom, an important risk-reduction intervention, was not found to be as effective as use of a non-touch hand sanitizer dispenser for reducing risk to near or below 1/1,000,000, a commonly used risk threshold for comparison.
洗手间的使用与许多病毒的爆发有关。在这项研究中,我们应用定量微生物风险评估来量化受污染洗手间污染物传播病毒的风险。我们通过八种涉及不同用户行为的暴露场景,以及每种场景后使用手部消毒剂的情况,估计了三种感兴趣的病毒(SARS-CoV-2、腺病毒、诺如病毒)从高接触污染物表面(进出口门、马桶座圈)传播的风险。我们评估了洗手间中污染物接触的几个序列对这些病毒感染风险的影响,反映了人类行为的可变性。触摸马桶座圈被假设为模拟座位的调整(打开与关闭),这是单人使用洗手间的常见接触点(家庭、小型企业、医院)。对于每个暴露场景(每个场景进行 10,000 次模拟)都进行了蒙特卡罗模拟。对于所有污染物表面暴露场景,诺如病毒导致感染的可能性最高。使用洗手间后自动分配的手部消毒剂可以将每种病毒的感染概率降低高达 99.75%。在洗手间内洗手,这是一种重要的降低风险干预措施,其效果不如使用非接触式手部消毒剂分配器那么有效,因为后者可以将风险降低到接近或低于 1/1,000,000,这是常用的风险阈值。