A mechanism-based parameterisation scheme to investigate the association between transmission rate of COVID-19 and meteorological factors on plains in China
Lin, Changqing1; Lau, Alexis K. H.1; Fung, Jimmy C. H.1; Chan, Jimmy W. M.1; Yeung, David W.1; Zhang, Yumiao1; Hossain, Md Shakhaoat1; Guo, Cui2; Bo, Yacong2; Zeng, Yiqian2; Lao, Xiang Qian2
2020-06
发表期刊SCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
EISSN1879-1026
摘要The novel coronavirus disease 2019 (COVID-19), which first emerged in Hubei province, China, has become a pandemic. However, data regarding the effects of meteorological factors on its transmission are limited and inconsistent. A mechanism-based parameterisation scheme was developed to investigate the association between the scaled transmission rate (STR) of COVID-19 and the meteorological parameters in 20 provinces/municipalities located on the plains in China. We obtained information on the scale of population migrated from Wuhan, the world epicentre of the COVID-19 outbreak, into the study provinces/municipalities using mobile-phone positioning system and big data techniques. The highest STRs were found in densely populated metropolitan areas and in cold provinces located in north-eastern China. Population density had a non-linear relationship with disease spread (linearity index, 0.9). Among various meteorological factors, only temperature was significantly associated with the STR after controlling for the effect of population density. A negative and exponential relationship was identified between the transmission rate and the temperature (correlation coefficient, -0.56; 99% confidence level). The STR increased substantially as the temperature in north-eastem China decreased below 0 degrees C (the STR ranged from 35 to 12.3 when the temperature was between -9.41 degrees C and -13.87 degrees C), whilst the STR showed less temperature dependence in the study areas with temperate weather conditions (the STR was 1.21 +/- 0.57 when the temperature was above 0 degrees C). Therefore, a higher population density was linearly whereas a lower temperature (<0 degrees C) was exponentially associated with an increased transmission rate of COVID-19. These findings suggest that the mitigation of COVID-19 spread in densely populated and/or cold regions will be a great challenge. (C) 2020 Elsevier B.V. All rights reserved.
关键词COVID-19 Meteorology Temperature Imported scale Population density
DOI10.1016/j.scitotenv.2020.140348
WOS关键词TEMPERATURE ; WEATHER
WOS研究方向Environmental Sciences & Ecology
WOS类目Environmental Sciences
出版者ELSEVIER
引用统计
文献类型期刊论文
专题新冠肺炎
循证社会科学证据集成
作者单位1.Hong Kong Univ Sci & Technol;
2.Chinese Univ Hong Kong
推荐引用方式
GB/T 7714
Lin, Changqing,Lau, Alexis K. H.,Fung, Jimmy C. H.,et al. A mechanism-based parameterisation scheme to investigate the association between transmission rate of COVID-19 and meteorological factors on plains in China[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2020.
APA Lin, Changqing.,Lau, Alexis K. H..,Fung, Jimmy C. H..,Chan, Jimmy W. M..,Yeung, David W..,...&Lao, Xiang Qian.(2020).A mechanism-based parameterisation scheme to investigate the association between transmission rate of COVID-19 and meteorological factors on plains in China.SCIENCE OF THE TOTAL ENVIRONMENT.
MLA Lin, Changqing,et al."A mechanism-based parameterisation scheme to investigate the association between transmission rate of COVID-19 and meteorological factors on plains in China".SCIENCE OF THE TOTAL ENVIRONMENT (2020).
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
A mechanism-based pa(1005KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 下载
个性服务
查看访问统计
谷歌学术
谷歌学术中相似的文章
[Lin, Changqing]的文章
[Lau, Alexis K. H.]的文章
[Fung, Jimmy C. H.]的文章
百度学术
百度学术中相似的文章
[Lin, Changqing]的文章
[Lau, Alexis K. H.]的文章
[Fung, Jimmy C. H.]的文章
必应学术
必应学术中相似的文章
[Lin, Changqing]的文章
[Lau, Alexis K. H.]的文章
[Fung, Jimmy C. H.]的文章
相关权益政策
暂无数据
收藏/分享
文件名: A mechanism-based parameterisation scheme to investigate the association between transmission rate of COVID-19 and meteorological factors on plains in China.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。

元出版是什么?

元出版是融合预印本出版、数据出版、结构化信息出版等当前开放出版实践与理念为一体的开放出版新模式,旨在提供一个科学工作者完全融入的泛在沉浸式开放知识交流机制。

MetaPub团队

  • 关于我们
  • 编委会
  • 审稿专家
  • 编辑部

开放研究

  • 学科领域
  • 入驻期刊
  • 入驻会议
  • 开放数据集

帮助

  • 元作品投稿流程
  • 元作品写作要求
  • 元作品出版声明
  • 元作品出版标准
  • 审稿注意事项
地址:四川天府新区群贤南街289号 邮编:610299 电子邮箱:liucj@clas.ac.cn
版权所有 蜀ICP备05003827号