Suppr超能文献

研究气象因素在意大利北部 COVID-19 传播中的作用。

Investigating the roles of meteorological factors in COVID-19 transmission in Northern Italy.

机构信息

UCP Business School, University of Central Punjab, Lahore, Pakistan.

University of Central Punjab, Lahore, Pakistan.

出版信息

Environ Sci Pollut Res Int. 2021 Sep;28(35):48459-48470. doi: 10.1007/s11356-021-14038-7. Epub 2021 Apr 28.

Abstract

The novel COVID-19 is a highly invasive, pathogenic, and transmittable disease that has stressed the health care sector and hampered global development. Information of other viral respiratory diseases indicates that COVID-19 transmission could be affected by varying weather conditions; however, the impact of meteorological factors on the COVID-19 death counts remains unexplored. By investigating the impact of meteorological factors (absolute humidity, relative humidity, and temperature), this study will contribute both theoretically and practically to the concerned domain of pandemic management to be better prepared to control the spread of the disease. For this study, data is collected from 23 February to 31 March 2020 for Milan, Northern Italy, one of the badly hit regions by COVID-19. The generalized additive model (GAM) is applied, and a nonlinear relationship is examined with penalized spline methods. A sensitivity analysis is conducted for the verification of model results. The results reveal that temperature, relative humidity, and absolute humidity have a significant but negative relationship with the COVID-19 mortality rate. Therefore, it is possible to postulate that cool and dry environmental conditions promote virus transmission, leading to an increase in COVID-19 death counts. The results may facilitate health care policymakers in developing and implementing effective control measures in a timely and efficient way.

摘要

新型冠状病毒肺炎(COVID-19)是一种高度侵袭性、致病性和传染性疾病,给医疗保健系统带来了巨大压力,也阻碍了全球发展。其他病毒性呼吸道疾病的信息表明,COVID-19 的传播可能受到不同天气条件的影响;然而,气象因素对 COVID-19 死亡人数的影响仍未得到探索。通过研究气象因素(绝对湿度、相对湿度和温度)的影响,本研究将从理论和实践上为大流行管理领域做出贡献,为更好地控制疾病传播做好准备。在这项研究中,数据是从 2020 年 2 月 23 日至 3 月 31 日在意大利北部米兰收集的,米兰是受 COVID-19 影响最严重的地区之一。应用广义加性模型(GAM),并采用惩罚样条方法检查非线性关系。进行敏感性分析以验证模型结果。结果表明,温度、相对湿度和绝对湿度与 COVID-19 死亡率呈显著负相关。因此,可以假设凉爽干燥的环境条件会促进病毒传播,导致 COVID-19 死亡人数增加。研究结果可能有助于医疗保健政策制定者及时有效地制定和实施有效的控制措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b370/8079164/a06ebb4d5041/11356_2021_14038_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验