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UV, ozone, and COVID-19 transmission in Ontario, Canada using generalised linear models

机译:UV,Ozone和Covid-19在安大略省,加拿大使用广义的线性模型传输

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摘要

Background: Quantifying the impact of environmental factors on COVID-19 transmission is crucial in preventing more cases. Ultraviolet (UV) radiation and ozone (O_3) have reported antimicrobial properties but few studies have examined associations with community infectivity of COVID-19. Research suggests UV light can be pre-ventative while the effect of O_3 is contested. We sought to determine the relationship between UV, O_3, and COVID-19 incidence in Ontario, Canada. Methods: In our time series analyses, we calculated daily incidence rates and reproductive number (R_t) from 34,975 cases between January and June 2020 across 34 Ontario Public Health Units. We used generalised linear models, adjusting for potential confounders, to calculate point estimates (PE) and 95% confidence intervals (CI) for UV and O_3. Analyses were further stratified by age groups and outbreaks at institutions versus community. Results: We found that 1-week averaged UV was significantly associated with a 13% decrease (95% CI: 0.80-0.96) in overall COVID-19 R_t, per unit increase. A negative association with UV was also significant among community outbreaks (PE: 0.88, 95% CI: 0.81-0.96) but not institutional outbreaks (PE: 0.94, 95% CI: 0.85-1.03). A positive association of O_3 with COVID-19 incidence is strongly suggested among institutional outbreak cases (PE: 1.06, 95% CI: 1.00-1.13). Conclusion: Our study found evidence to support the hypothesis that higher UV reduced transmission of COVID-19 and some evidence that ground-level O_3 positively influenced COVID-19 transmission. Setting of infection should be strongly considered as a factor in future research. UV and O_3 may explain some of COVID-19's seasonal behaviour.
机译:背景技术:量化环境因素对Covid-19传输的影响对于预防更多案件至关重要。紫外(UV)辐射和臭氧(O_3)报道了抗微生物性质,但很少有研究已经检查了与Covid-19的群落感染性的关联。研究表明,紫外线可以在o_3的效果中进行效果。我们试图确定UV,O_3和Covid-19在加拿大安大略省发病的关系。方法:在我们的时间序列分析中,我们在34个安大略省公共卫生单位的34,975案中计算了每日发病率和生殖号(R_T)。我们使用广义的线性模型,调整潜在混淆,计算UV和O_3的点估计(PE)和95%置信区间(CI)。通过年龄群体和社区爆发进一步分析分析。结果:我们发现,每单位Covid-19 R_T在整体Covid-19 R_T中,1周的平均UV显着相关,每单位Covid-19 R_T在13%下降(95%CI:0.80-0.96)。与紫外线的阴性关联也具有显着的社区爆发(PE:0.88,95%CI:0.81-0.96)但不是制度爆发(PE:0.94,95%CI:0.85-1.03)。在制度爆发案件中强烈建议o_3与Covid-19发病率的正面协会(PE:1.06,95%CI:1.00-1.13)。结论:我们的研究发现证据支持紫外线降低Covid-19传播的假设,以及地面o_3积极影响Covid-19传播的一些证据。感染的设置应该被强烈被认为是未来研究的一个因素。 UV和O_3可以解释一些Covid-19的季节性行为。

著录项

  • 来源
    《Environmental research》 |2021年第3期|110645.1-110645.9|共9页
  • 作者单位

    Child Health Evaluative Sciences Research Institute The Hospital for Sick Children Toronto ON Canada Dalla Lana School of Public Health University of Toronto Toronto ON Canada;

    Child Health Evaluative Sciences Research Institute The Hospital for Sick Children Toronto ON Canada;

    Biostatistics Design and Analysis Research Institute The Hospital for Sick Children Toronto ON Canada;

    Child Health Evaluative Sciences Research Institute The Hospital for Sick Children Toronto ON Canada;

    Child Health Evaluative Sciences Research Institute The Hospital for Sick Children Toronto ON Canada;

    Biostatistics Design and Analysis Research Institute The Hospital for Sick Children Toronto ON Canada;

    Child Health Evaluative Sciences Research Institute The Hospital for Sick Children Toronto ON Canada;

    Air Monitoring and Modelling Section Ontario Ministry of the Environment Conservation and Parks Toronto ON Canada;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    COVID-19; Ultraviolet radiation; Ozone; Reproductive number; Incidence; Ontario;

    机译:新冠肺炎;紫外线辐射;臭氧;生殖号码;发病率;安大略省;
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