Guo Zuiyuan, Xiao Guangquan, Du Jianhong, Cui Wei, Li Bing, Xiao Dan
Department of Infectious Disease Prevention and Control, Beibu Zhanqu Center for Disease Control and Prevention, Shenyang, China.
Training Base of Non-Commissioned Officer Specialized in Aviation Support of Naval Aeronautical University, Qingdao, China.
Heliyon. 2023 Feb 21;9(3):e13612. doi: 10.1016/j.heliyon.2023.e13612. eCollection 2023 Mar.
Residents have to use elevators to leave and enter their high-rise apartments frequently. An elevator car can easily spread respiratory infectious diseases, as it has a confined and small space. Therefore, studying how elevator operations promote epidemic transmission is of importance to public health. We developed an infectious disease dynamics model. First, we used homemade codes to simulate the operating state of an elevator and the dynamic process of infectious disease transmission in an apartment building due to elevator operations. Second, we analysed the temporal distribution patterns of infected individuals and patients. Finally, we validated the reliability of the model by performing continuous-time sensitivity analysis on important model parameters. We found that elevator operations can cause rapid spread of infectious diseases within an apartment building. Therefore, it is necessary to enhance elevator ventilation and disinfection mechanisms to prevent the outbreak of respiratory infections. Moreover, residents should reduce elevator use and wear masks.
居民不得不频繁使用电梯进出他们的高层公寓。电梯轿厢空间狭小且封闭，很容易传播呼吸道传染病。因此，研究电梯运行如何促进疫情传播对公共卫生至关重要。我们开发了一个传染病动力学模型。首先，我们使用自编代码模拟电梯的运行状态以及由于电梯运行导致传染病在公寓楼内传播的动态过程。其次，我们分析了感染者和患者的时间分布模式。最后，我们通过对重要模型参数进行连续时间敏感性分析来验证模型的可靠性。我们发现电梯运行会导致传染病在公寓楼内迅速传播。因此，有必要加强电梯通风和消毒机制以预防呼吸道感染的爆发。此外，居民应减少乘坐电梯并佩戴口罩。
