Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/91263
| Title: | The ambient ozone and COVID-19 transmissibility in China : a data-driven ecological study of 154 cities | Authors: | Ran, J Zhao, S Han, L Chen, D Yang, Z Yang, L Wang, MH He, D |
Issue Date: | Sep-2020 | Source: | Journal of infection, Sept. 2020, v. 81, no. 3, p. e9-e11 | Keywords: | Air pollution China COVID-19 Ozone Reproduction number |
Publisher: | Elsevier Ltd | Journal: | Journal of infection | ISSN: | 0163-4453 | EISSN: | 1532-2742 | DOI: | 10.1016/j.jinf.2020.07.011 | Rights: | © 2020 The British Infection Association. Published by Elsevier Ltd. All rights reserved. © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| a0982-n17_2276_RANJJ_main_clean.pdf | Pre-Published version | 996.68 kB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
149
Last Week
2
2
Last month
Citations as of Apr 14, 2025
Downloads
50
Citations as of Apr 14, 2025
SCOPUSTM
Citations
26
Citations as of Dec 19, 2025
WEB OF SCIENCETM
Citations
23
Citations as of Dec 18, 2025
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.