{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["191"],"submitter":["Stieb DM"],"pubmed_abstract":["<h4>Background</h4>Ambient fine particulate matter (PM<sub>2.5</sub>) is associated with a wide range of acute and chronic health effects, including increased risk of respiratory infection. However, evidence specifically related to novel coronavirus disease (COVID-19) is limited.<h4>Methods</h4>COVID-19 case counts for 111 Canadian health regions were obtained from the COVID-19 Canada Open Data portal. Annual PM<sub>2.5</sub> data for 2000-2016 were estimated from a national exposure surface based on remote sensing, chemical transport modelling and ground observations, and minimum and maximum temperature data for 2000-2015 were based on a national interpolated surface derived from thin-plate smoothing splines. Population counts and sociodemographic data by health region were obtained from "],"journal":["Environmental research"],"pagination":["110052"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7448873"],"repository":["biostudies-literature"],"pubmed_title":["An ecological analysis of long-term exposure to PM<sub>2.5</sub> and incidence of COVID-19 in Canadian health regions."],"pmcid":["PMC7448873"],"pubmed_authors":["Brook JR","Burnett RT","Evans GJ","Stieb DM","To TM"],"additional_accession":[]},"is_claimable":false,"name":"An ecological analysis of long-term exposure to PM<sub>2.5</sub> and incidence of COVID-19 in Canadian health regions.","description":"<h4>Background</h4>Ambient fine particulate matter (PM<sub>2.5</sub>) is associated with a wide range of acute and chronic health effects, including increased risk of respiratory infection. However, evidence specifically related to novel coronavirus disease (COVID-19) is limited.<h4>Methods</h4>COVID-19 case counts for 111 Canadian health regions were obtained from the COVID-19 Canada Open Data portal. Annual PM<sub>2.5</sub> data for 2000-2016 were estimated from a national exposure surface based on remote sensing, chemical transport modelling and ground observations, and minimum and maximum temperature data for 2000-2015 were based on a national interpolated surface derived from thin-plate smoothing splines. Population counts and sociodemographic data by health region were obtained from ","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Dec","modification":"2025-04-04T13:26:05.616Z","creation":"2020-08-31T07:02:51Z"},"accession":"S-EPMC7448873","cross_references":{"pubmed":["32860780"],"doi":["10.1016/j.envres.2020.110052"]}}