Literature DB >> 33338486

Mediation by human mobility of the association between temperature and COVID-19 transmission rate.

Wenjing Shao1, Jingui Xie2, Yongjian Zhu3.   

Abstract

The coronavirus disease 2019 (COVID-19) pandemic is a major threat to global health. Relevant studies have shown that ambient temperature may influence the spread of novel coronavirus. However, the effect of ambient temperature on COVID-19 remains controversial. Human mobility is also closely related to the pandemic of COVID-19, which could be affected by temperature at the same time. The purpose of this study is to explore the underlying mechanism of the association of temperature with COVID-19 transmission rate by linking human mobility. The effective reproductive number, meteorological conditions and human mobility data in 47 countries are collected. Panel data models with fixed effects are used to analyze the association of ambient temperature with COVID-19 transmission rate, and the mediation by human mobility. Our results show that there is a negative relationship between temperature and COVID-19 transmission rate. We also observe that temperature is positively associated with human mobility and human mobility is positively related to COVID-19 transmission rate. Thus, the suppression effect (also known as the inconsistent mediation effect) of human mobility is confirmed, which remains robust when different lag structures are used. These findings provide evidence that temperature can influence the spread of COVID-19 by affecting human mobility. Therefore, although temperature is negatively related to COVID-19 transmission rate, governments and the public should pay more attention to control measures since people are more likely to go out when temperature rising. Our results could partially explain the reason why COVID-19 is not prevented by warm weather in some countries.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  COVID-19; Human mobility; Mediation analysis; Suppression effect; Temperature

Year:  2020        PMID: 33338486     DOI: 10.1016/j.envres.2020.110608

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  9 in total

1.  Effect of Seasonal Land Surface Temperature Variation on COVID-19 Infection Rate: A Google Earth Engine-Based Remote Sensing Approach.

Authors:  Sk Nafiz Rahaman; Tanvir Shehzad; Maria Sultana
Journal:  Environ Health Insights       Date:  2022-10-16

Review 2.  Environment and COVID-19 incidence: A critical review.

Authors:  Jiatong Han; Jie Yin; Xiaoxu Wu; Danyang Wang; Chenlu Li
Journal:  J Environ Sci (China)       Date:  2022-02-21       Impact factor: 6.796

3.  Impact of environmental factors on COVID-19 cases and mortalities in major cities of Pakistan.

Authors:  Rabia Basray; Amber Malik; Wajiha Waqar; Ambreen Chaudhry; Muhammad Wasif Malik; Mumtaz Ali Khan; Jamil A Ansari; Aamir Ikram
Journal:  J Biosaf Biosecur       Date:  2021-03-18

4.  Transmission in home environment associated with the second wave of COVID-19 pandemic in India.

Authors:  Liwei Tang; Min Liu; Bingyu Ren; Jinghong Chen; Xinwei Liu; Xilin Wu; Weiren Huang; Jing Tian
Journal:  Environ Res       Date:  2021-08-28       Impact factor: 6.498

Review 5.  The impact of geo-environmental factors on global COVID-19 transmission: A review of evidence and methodology.

Authors:  Danyang Wang; Xiaoxu Wu; Chenlu Li; Jiatong Han; Jie Yin
Journal:  Sci Total Environ       Date:  2022-02-26       Impact factor: 10.753

6.  Latent Growth Curve Modeling for COVID-19 Cases in Presence of Time-Variant Covariate.

Authors:  M S Panwar; C P Yadav; Harendra Singh; Taghreed M Jawa; Neveen Sayed-Ahmed
Journal:  Comput Intell Neurosci       Date:  2022-02-18

Review 7.  Usage of Compartmental Models in Predicting COVID-19 Outbreaks.

Authors:  Peijue Zhang; Kairui Feng; Yuqing Gong; Jieon Lee; Sara Lomonaco; Liang Zhao
Journal:  AAPS J       Date:  2022-09-02       Impact factor: 3.603

8.  How do the smart travel ban policy and intercity travel pattern affect COVID-19 trends? Lessons learned from Iran.

Authors:  Habibollah Nassiri; Seyed Iman Mohammadpour; Mohammad Dahaghin
Journal:  PLoS One       Date:  2022-10-18       Impact factor: 3.752

9.  The transmission of SARS-CoV-2 is likely comodulated by temperature and by relative humidity.

Authors:  Kevin S Raines; Sebastian Doniach; Gyan Bhanot
Journal:  PLoS One       Date:  2021-07-29       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.