A global association between Covid-19 cases and airborne particulate matter at regional level.
Ontology highlight
ABSTRACT: Evidences of an association between air pollution and Covid-19 infections are mixed and inconclusive. We conducted an ecological analysis at regional scale of long-term exposure to air-borne particle matter and spread of Covid-19 cases during the first wave of epidemics. Global air pollution and climate data were calculated from satellite earth observation data assimilated into numerical models at 10 km resolution. Main outcome was defined as the cumulative number of cases of Covid-19 in the 14 days following the date when > 10 cumulative cases were reported. Negative binomial mixed effect models were applied to estimate the associations between the outcome and long-term exposure to air pollution at the regional level (PM10, PM2.5), after adjusting for relevant region
SUBMITTER: Solimini A
PROVIDER: S-EPMC7973572 | biostudies-literature | 2021 Mar
REPOSITORIES: biostudies-literature
ACCESS DATA