1. Impacts of transportation and meteorological factors on the transmission of COVID-19
- Author
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Yun Xia Liu, Yuan Li Liu, Na Jia, Ran Yan, Yu Hao Zhou, Fuzhong Xue, Chunyu Li, Fan Yang, Xiao Kang Ji, Hong Kai Li, Run Ze Ye, Jie Qian, Shi Xue Li, Yu Chen Zhu, Xiujun Li, Chang Qi, Xiao Ming Cui, Jia Te Wei, Ying Wang, Wu-Chun Cao, and Lin Zhao
- Subjects
Mainland China ,China ,medicine.medical_specialty ,Interaction ,Meteorological Concepts ,Attack rate ,Transportation ,010501 environmental sciences ,Logistic regression ,01 natural sciences ,Article ,Wind speed ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,law ,Environmental health ,medicine ,Humans ,030212 general & internal medicine ,Pandemics ,0105 earth and related environmental sciences ,SARS-CoV-2 ,Public health ,Generalized additive model ,Temperature ,Public Health, Environmental and Occupational Health ,COVID-19 ,Odds ratio ,Meteorological factors ,Geography ,Transmission (mechanics) - Abstract
The ongoing pandemic of 2019 novel coronavirus disease (COVID-19) is challenging global public health response system. We aim to identify the risk factors for the transmission of COVID-19 using data on mainland China. We estimated attack rate (AR) at county level. Logistic regression was used to explore the role of transportation in the nationwide spread. Generalized additive model and stratified linear mixed-effects model were developed to identify the effects of multiple meteorological factors on local transmission. The ARs in affected counties ranged from 0.6 to 9750.4 per million persons, with a median of 8.8. The counties being intersected by railways, freeways, national highways or having airports had significantly higher risk for COVID-19 with adjusted odds ratios (ORs) of 1.40 (p = 0.001), 2.07 (p
- Published
- 2020
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