Sirindhorn International Institute of Technology, Thammasat University, Pathumthani, Thailand.
Department of Ophthalmology, College of Medicine, Rajavithi Hospital, Rangsit University, Bangkok, Thailand.
PLoS One. 2023 Apr 11;18(4):e0281841. doi: 10.1371/journal.pone.0281841. eCollection 2023.
Face masks are low-cost, but effective in preventing transmission of COVID-19. To visualize public's practice of protection during the outbreak, we reported the rate of face mask wearing using artificial intelligence-assisted face mask detector, AiMASK.
After validation, AiMASK collected data from 32 districts in Bangkok. We analyzed the association between factors affecting the unprotected group (incorrect or non-mask wearing) using univariate logistic regression analysis.
AiMASK was validated before data collection with accuracy of 97.83% and 91% during internal and external validation, respectively. AiMASK detected a total of 1,124,524 people. The unprotected group consisted of 2.06% of incorrect mask-wearing group and 1.96% of non-mask wearing group. Moderate negative correlation was found between the number of COVID-19 patients and the proportion of unprotected people (r = -0.507, p<0.001). People were 1.15 times more likely to be unprotected during the holidays and in the evening, than on working days and in the morning (OR = 1.15, 95% CI 1.13-1.17, p<0.001).
AiMASK was as effective as human graders in detecting face mask wearing. The prevailing number of COVID-19 infections affected people's mask-wearing behavior. Higher tendencies towards no protection were found in the evenings, during holidays, and in city centers.
口罩成本低廉，但能有效防止 COVID-19 的传播。为了直观了解疫情期间公众的防护实践情况，我们使用人工智能辅助口罩检测仪 AiMASK 报告口罩佩戴率。
经验证后，AiMASK 从曼谷的 32 个区收集数据。我们使用单变量逻辑回归分析，分析了影响未受保护人群（口罩佩戴不正确或不佩戴）的因素之间的关联。
在收集数据之前，AiMASK 经过验证，其准确率分别为 97.83%和 91%，内部和外部验证。AiMASK 共检测到 1124524 人。未受保护人群中，口罩佩戴不正确的人群占 2.06%，不戴口罩的人群占 1.96%。COVID-19 患者数量与未受保护人群比例呈中度负相关（r = -0.507，p<0.001）。与工作日和上午相比，假期和晚上人们未受保护的可能性高 1.15 倍（OR = 1.15，95% CI 1.13-1.17，p<0.001）。
AiMASK 在检测口罩佩戴方面与人工评分者一样有效。COVID-19 感染的流行数量影响了人们的口罩佩戴行为。晚上、假期和市中心未受保护的倾向更高。
