环境卫生
肺结核
医学
公共卫生
个人防护装备
空中传输
医疗保健
传输(电信)
感染控制
结核分枝杆菌
疾病
传染病(医学专业)
护理部
2019年冠状病毒病(COVID-19)
外科
内科学
经济
病理
工程类
电气工程
经济增长
作者
Dikeledi O. Matuka,Thabang Duba,Zethembiso Ngcobo,Felix Made,Lufuno Muleba,Tebogo Nthoke,Tanusha Singh
标识
DOI:10.3390/ijerph181910130
摘要
This study aimed to detect airborne Mycobacterium tuberculosis (MTB) at nine public health facilities in three provinces of South Africa and determine possible risk factors that may contribute to airborne transmission. Personal samples (n = 264) and stationary samples (n = 327) were collected from perceived high-risk areas in district, primary health clinics (PHCs) and TB facilities. Quantitative real-time (RT) polymerase chain reaction (PCR) was used for TB analysis. Walkabout observations and work practices through the infection prevention and control (IPC) questionnaire were documented. Statistical analysis was carried out using Stata version 15.2 software. Airborne MTB was detected in 2.2% of samples (13/572), and 97.8% were negative. District hospitals and Western Cape province had the most TB-positive samples and identified risk areas included medical wards, casualty, and TB wards. MTB-positive samples were not detected in PHCs and during the summer season. All facilities reported training healthcare workers (HCWs) on TB IPC. The risk factors for airborne MTB included province, type of facility, area or section, season, lack of UVGI, and ineffective ventilation. Environmental monitoring, PCR, IPC questionnaire, and walkabout observations can estimate the risk of TB transmission in various settings. These findings can be used to inform management and staff to improve the TB IPC programmes.
科研通智能强力驱动
Strongly Powered by AbleSci AI