Tuberculosis research in road construction sites

Introduction: Workers with occupational exposure to respirable silica dust like casual labourers at road construction sites (RCSs) are known to be at a high risk of developing pulmonary tuberculosis (TB). There is limited literature about the burden of PTB among this sub-population with high occupational exposures to silica dust at road construction sites. We aimed to determine the prevalence of PTB among casual labourers working at road construction sites in Central Uganda.
Methods: We enrolled 297 participants by consecutive sampling into a cross-sectional study in September 2022 at four road construction sites in four districts in Central Uganda. A structured questionnaire was administered and the PTB cases were identified using a Gene Xpert and/or Computer Aided Detection for TB (CAD4TB). Data were analyzed in STATA version 17.0. Descriptive statistics adjusted for clustering were used to summarize the data and the relationship between PTB and independent variables were assessed usi..., An approved questionnaire was administered to all study participants. Data entry was then done of filled questionnaires using Epidata, upon a finishing completeness check. The soft copy data was then extracted into STATA17 for cleaning and analysis., , # Data from: Tuberculosis research in road construction sites

[https://doi.org/10.5061/dryad.t4b8gtj8s](https://doi.org/10.5061/dryad.t4b8gtj8s)

Generally, the dataset has variables derived from study participants' socio-demographic characteristics, clinical characteristics and Laboratory results all of which are clearly explained in the attached data dictionary.

## Description of the data and file structure

The TB result is derived from a concatenation of a CXR result, MTB result, and the RIF status which abbreviations have been clearly explained in the data dictionary.

Missing values are denoted by NA

The variable age was categorized into three groups with codes 1,2 and 3 that is 19/28=1, 29/35=2, 36/52=3

引言：职业暴露于可吸入矽尘的劳动者，例如道路施工现场（road construction sites, RCSs）的零工，罹患肺结核（pulmonary tuberculosis, TB）的风险极高，这一点已被学界广泛证实。目前针对道路施工现场高职业矽尘暴露亚人群的肺结核（pulmonary tuberculosis, PTB）疾病负担相关研究文献较为匮乏。本研究旨在明确乌干达中部地区道路施工现场零工的肺结核患病率。
方法：本研究于2022年9月采用连续抽样法，在乌干达中部4个区县的4处道路施工现场纳入297名研究对象，开展横断面研究。研究通过结构化问卷收集信息，并采用Gene Xpert检测和/或肺结核计算机辅助检测（Computer Aided Detection for TB, CAD4TB）识别肺结核病例。数据采用Stata 17.0版软件进行分析：经聚类调整的描述性统计用于数据汇总，并评估肺结核与自变量之间的关联……此外，本研究向所有参与者发放经伦理审批的问卷，回收后使用EpiData完成问卷数据录入，并进行完整性核查，随后将电子拷贝数据导入Stata 17.0进行数据清洗与分析。
# 数据来源：道路施工现场肺结核相关研究
https://doi.org/10.5061/dryad.t4b8gtj8s
总体而言，本数据集的变量来源于研究对象的社会人口学特征、临床特征与实验室检测结果，所有变量的详细说明均见附件数据字典。
## 数据与文件结构说明
肺结核检测结果由胸部X线（Chest X-ray, CXR）结果、结核分枝杆菌（Mycobacterium tuberculosis, MTB）检测结果以及RIF状态（RIF）整合得到，上述缩写的详细含义已在数据字典中明确阐释。
缺失值以NA表示。
年龄变量被划分为3个组别，编码分别为1、2、3，对应区间为19~28岁（编码1）、29~35岁（编码2）以及36~52岁（编码3）