Estimating Short- and Long-Term Associations Between Air Quality Index and COVID-19 Transmission: Evidence From 257 Chinese Cities.
Int J Public Health
; 66: 1604215, 2021.
Article
in English
| MEDLINE | ID: covidwho-1348583
ABSTRACT
Objectives:
To evaluate the long- and short-term effects of air pollution on COVID-19 transmission simultaneously, especially in high air pollution level countries.Methods:
Quasi-Poisson regression was applied to estimate the association between exposure to air pollution and daily new confirmed cases of COVID-19, with mutual adjustment for long- and short-term air quality index (AQI). The independent effects were also estimated and compared. We further assessed the modification effect of within-city migration (WM) index to the associations.Results:
We found a significant 1.61% (95%CI 0.51%, 2.72%) and 0.35% (95%CI 0.24%, 0.46%) increase in daily confirmed cases per 1 unit increase in long- and short-term AQI. Higher estimates were observed for long-term impact. The stratifying result showed that the association was significant when the within-city migration index was low. A 1.25% (95%CI 0.0.04%, 2.47%) and 0.41% (95%CI 0.30%, 0.52%) increase for long- and short-term effect respectively in low within-city migration index was observed.Conclusions:
There existed positive associations between long- and short-term AQI and COVID-19 transmission, and within-city migration index modified the association. Our findings will be of strategic significance for long-run COVID-19 control.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Air Pollution
/
COVID-19
Type of study:
Experimental Studies
/
Observational study
Topics:
Long Covid
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
Int J Public Health
Journal subject:
Public Health
Year:
2021
Document Type:
Article
Affiliation country:
Ijph.2021.1604215
Similar
MEDLINE
...
LILACS
LIS