Effectiveness of Interventions for Controlling COVID-19 Transmission between Construction Workers and Their Close Contacts

群体免疫 心理干预 接种疫苗 传输(电信) 环境卫生 大流行 爆发 无症状的 人口 医学 2019年冠状病毒病(COVID-19) 人口学 免疫学 病毒学 计算机科学 传染病(医学专业) 内科学 电信 疾病 精神科 社会学
作者
Ziyue Yuan,Shu-Chien Hsu,Clara Cheung,Vahid Asghari
出处
期刊:Journal of Management in Engineering [American Society of Civil Engineers]
卷期号:38 (3) 被引量:5
标识
DOI:10.1061/(asce)me.1943-5479.0001033
摘要

The insufficiency of continued nonpharmaceutical interventions (NPIs) and ongoing vaccination programs continues to pose challenges in recovering from the COVID-19 pandemic. Before herd immunity, controlling at-risk and vulnerable groups in combination with vaccination plans is strongly recommended. The construction industry is especially vulnerable to the negative impacts of COVID-19 as illustrated by frequent relevant clusters globally and given the manual labor performed by construction workers in close physical proximity, which increases the likelihood of exposure. To gain insights into the transmission dynamics of COVID-19 to inform the establishment of effective and targeted NPIs in the construction industry, a dual-community model was developed that includes the susceptible–exposed–infectious/asymptomatic–hospitalized–recovered–pathogen (SEI/AHR-P) model for construction workers and the susceptible–exposed–infectious/asymptomatic–hospitalized–recovered (SEI/AHR) model for their close contacts. The results of our sensitivity analysis corroborate previous findings that close contacts are significant participants in the spread of the infection. However, the contributions of indirect transmission pathways at a construction site were found to be weak, suggesting the need for further study given conflicting results in other research. Based on the parameters identified as significant in the sensitivity analyses, 28 NPI scenarios were devised to analyze the total attack rate (TAR) and duration of an outbreak (DO). The scenario in which exposed individuals are controlled in terms of close contacts performs best, reducing the TAR with 25% absolute efficiency (AE) and decreasing the DO in the whole population by 1.8 days. In addition to NPIs, both construction workers and their close contacts are suggested to get vaccinated. Vaccination of all construction workers would lead to a lower TAR compared to vaccination of only 15% of both construction workers and their close contacts. Vaccination of all construction workers along with at least 67% of their close contacts can extinguish an ongoing wave.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
松松松发布了新的文献求助10
刚刚
orixero的应助被诸葛明明采纳,获得10
刚刚
褚蕴完成签到,获得积分10
1秒前
非理性人群完成签到 ,获得积分10
1秒前
fireulc发布了新的文献求助10
1秒前
Rene的应助被自觉的清涟采纳,获得50
2秒前
多情飞松发布了新的文献求助10
2秒前
3秒前
Owen的应助被小白采纳,获得10
3秒前
赘婿的应助被忧郁寻云采纳,获得10
3秒前
瑟瑟考拉发布了新的文献求助10
4秒前
5秒前
王艳关注了科研通微信公众号
5秒前
CodeCraft的应助被黄兆强采纳,获得10
5秒前
桥豆麻袋美少女完成签到,获得积分20
6秒前
Lbw发布了新的文献求助10
6秒前
斯文败类的应助被幻天游采纳,获得10
6秒前
田様的应助被松松松采纳,获得50
6秒前
mark完成签到,获得积分10
6秒前
爱听歌凤灵的应助被小車月采纳,获得20
6秒前
6秒前
趙途嘵生完成签到,获得积分10
7秒前
TomDean完成签到 ,获得积分10
7秒前
7秒前
8秒前
8秒前
8秒前
8秒前
搜集达人的应助被Shay103采纳,获得10
8秒前
威森完成签到,获得积分10
8秒前
花痴的手套完成签到,获得积分10
9秒前
sissiarno的应助被BigFrog采纳,获得30
9秒前
Huan完成签到 ,获得积分10
9秒前
行楽发布了新的文献求助10
9秒前
Zel博博发布了新的文献求助10
10秒前
10秒前
Cong的应助被conkie采纳,获得20
11秒前
3207发布了新的文献求助10
11秒前
吃土的牛马完成签到,获得积分10
12秒前
秋天完成签到,获得积分10
12秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
The Art of Interactive Teaching 600
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7799578
求助须知:如何正确求助?哪些是违规求助? 9334730
关于积分的说明 20468649
捐赠科研通 7390761
什么是DOI,文献DOI怎么找? 3326113
关于科研通互助平台的介绍 2473137
邀请新用户注册赠送积分活动 2343689