Mesh : Humans Carbon Dioxide / analysis Ventilation Male Female Tokyo / epidemiology Adult Air Pollution, Indoor / analysis Environmental Monitoring / methods COVID-19 / transmission epidemiology Middle Aged

来  源:   DOI:10.1371/journal.pone.0303790   PDF(Pubmed)

Abstract:
We employed carbon dioxide (CO2) concentration monitoring using mobile devices to identify location-specific risks for airborne infection transmission. We lent a newly developed, portable Pocket CO2 Logger to 10 participants, to be carried at all times, for an average of 8 days. The participants recorded their location at any given time as cinema, gym, hall, home, hospital, other indoors, other outgoings, pub, restaurant, university, store, transportation, or workplace. Generalized linear mixed model was used for statistical analysis, with the objective variable set to the logarithm of CO2 concentration. Analysis was performed by assigning participant identification as the random effect and location as the fixed effect. The data were collected per participant (seven males, four females), resulting in a total of 12,253 records. Statistical analysis identified three relatively poorly ventilated locations (median values > 1,000 ppm) that contributed significantly (p < 0.0001) to CO2 concentrations: homes (1,316 ppm), halls (1,173 ppm), and gyms (1005ppm). In contrast, two locations were identified to contribute significantly (p < 0.0001) to CO2 concentrations but had relatively low average values (<1,000 ppm): workplaces (705 ppm) and stores (620 ppm). The Pocket CO2 Logger can be used to visualize airborne infectious transmission risk by location to help guide recommendation regarding infectious disease policies, such as restrictions on human flow and ventilation measures and guidelines. In the future, large-scale surveys are expected to utilize the global positioning system, Wi-Fi, or Bluetooth of an individual\'s smartphone to improve ease and accuracy.
摘要:
我们使用移动设备进行二氧化碳(CO2)浓度监测,以确定特定地点的空气传播感染风险。我们借了一个新开发的,便携式口袋CO2记录器10名参与者,随时携带,平均8天。参与者在任何给定时间将他们的位置记录为电影院,健身房,hall,home,医院,其他室内,其他支出,酒吧,餐厅,大学,store,交通运输,或工作场所。采用广义线性混合模型进行统计分析,目标变量设置为CO2浓度的对数。通过将参与者身份分配为随机效应,将位置分配为固定效应来进行分析。数据是每个参与者收集的(七名男性,四名女性),共产生12,253条记录。统计分析确定了三个相对通风不良的位置(中值>1,000ppm),对CO2浓度有显著贡献(p<0.0001):家庭(1,316ppm),大厅(1,173ppm),和健身房(1005ppm)。相比之下,确定了两个位置对CO2浓度有显著贡献(p<0.0001),但平均值相对较低(<1,000ppm):工作场所(705ppm)和储存场所(620ppm).PocketCO2记录器可用于按位置可视化空气传播的传染病传播风险,以帮助指导有关传染病政策的建议,如限制人体流动和通风措施和准则。在未来,预计大规模调查将利用全球定位系统,Wi-Fi,或个人智能手机的蓝牙,以提高易用性和准确性。
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