{"id":3883,"date":"2024-12-19T13:02:25","date_gmt":"2024-12-19T17:02:25","guid":{"rendered":"https:\/\/www.atlanticpath.ca\/?p=3883"},"modified":"2024-12-19T13:02:25","modified_gmt":"2024-12-19T17:02:25","slug":"new-environmental-exposure-data-added-to-canpath-greenness-air-quality-and-accessibility","status":"publish","type":"post","link":"https:\/\/www.atlanticpath.ca\/index.php\/2024\/12\/19\/new-environmental-exposure-data-added-to-canpath-greenness-air-quality-and-accessibility\/","title":{"rendered":"New environmental exposure data added to CanPath: Greenness, air quality, and accessibility"},"content":{"rendered":"<p>CanPath is excited to continue collaborating with the CIHR-funded\u00a0<a href=\"https:\/\/canue.ca\/\">Canadian Urban Environmental Health Research Consortium (CANUE)<\/a>\u00a0by linking a third round of environmental exposure data to the national harmonized CanPath datasets.<\/p>\n<p>Since 2016, CANUE has gathered and standardized environmental exposure data on air and noise pollution, land use, community amenities, green spaces, climate, and socioeconomic conditions. This data is then linked to Canadian cohort studies and health databases. CANUE and CanPath conducted their\u00a0<a href=\"https:\/\/canpath.ca\/2019\/05\/canue-releases-new-environmental-exposure-datasets-on-cptp-portal\/\">first linkage activity in May 2019<\/a>, followed by\u00a0<a href=\"https:\/\/canpath.ca\/2021\/06\/new-round-of-linkage-of-canue-environmental-datasets-to-canpath-data\/\">a second round of linkage in June 2021<\/a>.<\/p>\n<p>The CANUE environmental exposure data was merged with CanPath\u2019s national harmonized datasets using participants\u2019 6-digit residential postal codes and are available to researchers.\u00a0This year, 17 new datasets were added to the existing 27 environmental exposure datasets, providing additional measures of greenness, air quality, accessibility, and socioeconomic factors.<\/p>\n<p>\u201cThe key strength of CanPath\u2019s collaboration with CANUE is the wide-ranging environmental exposures captured, allowing for diverse analyses beyond disease prevention, including developing healthier environments,\u201d says\u00a0<strong><a href=\"https:\/\/canpath.ca\/profile\/sheraz-cheema\/\">Sheraz Cheema<\/a><\/strong>, CanPath Data Manager. \u201cThis longitudinal data is invaluable for researchers assessing prolonged exposure impacts on health. CanPath aims to continue collecting data for 20-30 years, increasing its value over time.\u201d<\/p>\n<h2 id=\"green-spaces-and-vegetation\" class=\"wp-block-heading\">Green spaces and vegetation<\/h2>\n<p>CANUE develops data on neighbourhood greenness from two main sources. First, the\u00a0<a href=\"https:\/\/modis.gsfc.nasa.gov\/about\/\">MODIS satellite program<\/a>\u00a0has provided a consistent measure of greenness across Canada from 2000 to 2023, using a single sensor to ensure data reliability at a 250-meter resolution. Greenness is measured using the\u00a0<a href=\"https:\/\/earthobservatory.nasa.gov\/features\/MeasuringVegetation\/measuring_vegetation_2.php\">Normalized Difference Vegetation Index (NDVI)<\/a>\u00a0scale to characterize an area\u2019s vegetation density.<\/p>\n<p>Secondly, the\u00a0<a href=\"https:\/\/www.star.nesdis.noaa.gov\/jpss\/gvf.php\">Landsat-based Vegetative Greenness Fractions<\/a>\u00a0dataset offers a finer 30-meter resolution and measures greenness. This dataset can even detect roads and buildings beneath tree canopies, offering a more detailed view. \u201cThis could be an excellent opportunity to study those vertical layers,\u201d says\u00a0<strong><a href=\"https:\/\/canue.ca\/leadership-and-staff\/#:~:text=and%20co%2Danalysis.-,Joey%20Syer,-Data%20Director\" target=\"_blank\" rel=\"noreferrer noopener\">Joey Syer<\/a><\/strong>, CANUE Data Director, \u201cas opposed to just the horizontal layer of greenness.\u201d<\/p>\n<p><em>New datasets linked to CanPath include:<\/em><\/p>\n<ul class=\"wp-block-list\">\n<li>Advanced Very High-Resolution Radiometer (AVHRR)\u00a0Normalized Difference Vegetation Index (NDVI)\u00a0(2000-2013)<\/li>\n<li>Landsat \u2013 Greenest Pixel (2000-2017)<\/li>\n<li>Landsat \u2013 Growing Season (2000-2019)<\/li>\n<li>Moderate Resolution Imaging Spectroradiometer (MODIS) \u2013 Annual Max (2000-2023)<\/li>\n<li>MODIS \u2013 Annual Mean (2000-2023)<\/li>\n<li>MODIS \u2013 Growing Season Max (2000-2023)<\/li>\n<li>MODIS \u2013 Growing Season Mean (2000-2023)<\/li>\n<\/ul>\n<h2 id=\"air-quality\" class=\"wp-block-heading\">Air quality<\/h2>\n<p>One of the relatively new datasets in CANUE\u2019s data holdings is the\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0048969722050550?via%3Dihub\">Canadian Optimized Statistical Smoke Model (CanOSSEM)<\/a>, which Naman Paul and colleagues developed at the\u00a0<a href=\"http:\/\/www.bccdc.ca\/\">BC Centre for Disease Control<\/a>. This dataset estimates fine particulate matter (PM2.5) and is optimized for wildfire smoke. CANUE has data from 2010 to 2022 at daily, monthly, and annual scales, and it comes on a 5 km by 5 km grid.<\/p>\n<p>\u201cThe variation within those five kilometres is probably not much,\u201d says Joey, \u201cbut the fact that this data covers all of Canada makes this an unparalleled resource in terms of space and time attributes. It\u2019s really deserving of usage and study.\u201d<\/p>\n<p><em>New datasets include:<\/em><\/p>\n<ul class=\"wp-block-list\">\n<li>Fine Particulate Matter (PM2.5 v4) (2000-2020)<\/li>\n<li>Fine Particulate Matter (PM2.5 v5) (2000-2021)<\/li>\n<li>Smoke Exposure (PM2.5 v2) (2010-2022)<\/li>\n<\/ul>\n<h2 id=\"accessibility-and-transportation\" class=\"wp-block-heading\">Accessibility and transportation<\/h2>\n<p>The CanPath data assets have also been updated with many new datasets in the \u2018neighbourhoods\u2019 domain. These include the Canadian Bikeway Comfort and Safety Classification System (Can-BICS) metrics, which measure the quantity and quality of cycling infrastructure in Canadian communities, and several spatial accessibility indicators, which provide information on access to different services and amenities.<\/p>\n<p>\u201cBy linking these and other CANUE datasets to CanPath data, we can explore how the built environment affects chronic health conditions like never before,\u201d says\u00a0<strong><a href=\"https:\/\/canue.ca\/leadership-and-staff\/#:~:text=tools%20widely%20accessible.-,Dany%20Doiron,-Managing%20Director\">Dr. Dany Doiron<\/a><\/strong>, CANUE Managing Director.<\/p>\n<p><em>New datasets include:<\/em><\/p>\n<ul class=\"wp-block-list\">\n<li>Spatial Accessibility Measures (2021)<\/li>\n<li>Public Transportation (2019)<\/li>\n<li>Canadian Bikeway Safety Metrics (Can-BICS) (2021)<\/li>\n<li>Street Connectivity (2019)<\/li>\n<\/ul>\n<h2 id=\"other-socioeconomic-factors\" class=\"wp-block-heading\">Other socioeconomic factors<\/h2>\n<p>Many other socioeconomic factors can provide valuable insights into how the built environment and access to healthy food impact chronic diseases, including cancer risk and prevention.<\/p>\n<p><strong><a href=\"https:\/\/canpath.ca\/profile\/dr-trevor-dummer-2\/\">Dr. Trevor Dummer<\/a><\/strong>, CanPath National Scientific Co-Director, spoke about his role as a health geographer: \u201cMy interest in cancer prevention is understanding how the built environment and natural environment influences our cancer risk. This includes how our behaviours, such as physical activity or access to healthy food, are impacted by our geography. CanPath, as a longitudinal cohort linked to CANUE geospatial information and cancer registry data, has vast potential for epidemiological analysis to identify cancer risk factors and support prevention.\u201d<\/p>\n<p><em>New datasets include:<\/em><\/p>\n<ul class=\"wp-block-list\">\n<li>Building Density (2019)<\/li>\n<li>Dwellings Needing Repair (2016-2021)<\/li>\n<li>Canadian Food Environment Dataset (Can-FED) (2018)<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/canpath.ca\/wp-content\/uploads\/2024\/12\/hiking-7667621_1280-824x545.jpg\" alt=\"Person hiking in the forest\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>CanPath is excited to continue collaborating with the CIHR-funded\u00a0Canadian Urban Environmental Health Research Consortium (CANUE)\u00a0by linking a third round of environmental exposure data to the national harmonized CanPath datasets. Since 2016, CANUE has gathered and standardized environmental exposure data on air and noise pollution, land use, community amenities, green spaces, climate, and socioeconomic conditions. This data is then linked to Canadian cohort studies and health databases. CANUE and CanPath conducted their\u00a0first linkage activity in May 2019, followed by\u00a0a second round of linkage in June 2021. The CANUE environmental exposure data was merged with CanPath\u2019s national harmonized datasets using participants\u2019 6-digit residential postal codes and are available to researchers.\u00a0This year, 17 new datasets were added to the existing 27 environmental exposure datasets, providing additional measures of greenness, air quality, accessibility, and socioeconomic factors. \u201cThe key strength of CanPath\u2019s collaboration with CANUE is the wide-ranging environmental exposures captured, allowing for diverse analyses beyond disease prevention, including developing healthier environments,\u201d says\u00a0Sheraz Cheema, CanPath Data Manager. \u201cThis longitudinal data is invaluable for researchers assessing prolonged exposure impacts on health. CanPath aims to continue collecting data for 20-30 years, increasing its value over time.\u201d Green spaces and vegetation CANUE develops data on neighbourhood greenness from two main sources. First, the\u00a0MODIS satellite program\u00a0has provided a consistent measure of greenness across Canada from 2000 to 2023, using a single sensor to ensure data reliability at a 250-meter resolution. Greenness is measured using the\u00a0Normalized Difference Vegetation Index (NDVI)\u00a0scale to characterize an area\u2019s vegetation density. Secondly, the\u00a0Landsat-based Vegetative Greenness Fractions\u00a0dataset offers a finer 30-meter resolution and measures greenness. This dataset can even detect roads and buildings beneath tree canopies, offering a more detailed view. \u201cThis could be an excellent opportunity to study those vertical layers,\u201d says\u00a0Joey Syer, CANUE Data Director, \u201cas opposed to just the horizontal layer of greenness.\u201d New datasets linked to CanPath include: Advanced Very High-Resolution Radiometer (AVHRR)\u00a0Normalized Difference Vegetation Index (NDVI)\u00a0(2000-2013) Landsat \u2013 Greenest Pixel (2000-2017) Landsat \u2013 Growing Season (2000-2019) Moderate Resolution Imaging Spectroradiometer (MODIS) \u2013 Annual Max (2000-2023) MODIS \u2013 Annual Mean (2000-2023) MODIS \u2013 Growing Season Max (2000-2023) MODIS \u2013 Growing Season Mean (2000-2023) Air quality One of the relatively new datasets in CANUE\u2019s data holdings is the\u00a0Canadian Optimized Statistical Smoke Model (CanOSSEM), which Naman Paul and colleagues developed at the\u00a0BC Centre for Disease Control. This dataset estimates fine particulate matter (PM2.5) and is optimized for wildfire smoke. CANUE has data from 2010 to 2022 at daily, monthly, and annual scales, and it comes on a 5 km by 5 km grid. \u201cThe variation within those five kilometres is probably not much,\u201d says Joey, \u201cbut the fact that this data covers all of Canada makes this an unparalleled resource in terms of space and time attributes. It\u2019s really deserving of usage and study.\u201d New datasets include: Fine Particulate Matter (PM2.5 v4) (2000-2020) Fine Particulate Matter (PM2.5 v5) (2000-2021) Smoke Exposure (PM2.5 v2) (2010-2022) Accessibility and transportation The CanPath data assets have also been updated with many new datasets in the \u2018neighbourhoods\u2019 domain. These include the Canadian Bikeway Comfort and Safety Classification System (Can-BICS) metrics, which measure the quantity and quality of cycling infrastructure in Canadian communities, and several spatial accessibility indicators, which provide information on access to different services and amenities. \u201cBy linking these and other CANUE datasets to CanPath data, we can explore how the built environment affects chronic health conditions like never before,\u201d says\u00a0Dr. Dany Doiron, CANUE Managing Director. New datasets include: Spatial Accessibility Measures (2021) Public Transportation (2019) Canadian Bikeway Safety Metrics (Can-BICS) (2021) Street Connectivity (2019) Other socioeconomic factors Many other socioeconomic factors can provide valuable insights into how the built environment and access to healthy food impact chronic diseases, including cancer risk and prevention. Dr. Trevor Dummer, CanPath National Scientific Co-Director, spoke about his role as a health geographer: \u201cMy interest in cancer prevention is understanding how the built environment and natural environment influences our cancer risk. This includes how our behaviours, such as physical activity or access to healthy food, are impacted by our geography. CanPath, as a longitudinal cohort linked to CANUE geospatial information and cancer registry data, has vast potential for epidemiological analysis to identify cancer risk factors and support prevention.\u201d New datasets include: Building Density (2019) Dwellings Needing Repair (2016-2021) Canadian Food Environment Dataset (Can-FED) (2018)<\/p>\n","protected":false},"author":1,"featured_media":3884,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":"","_wpscppro_dont_share_socialmedia":null,"_wpscppro_custom_social_share_image":0,"_facebook_share_type":"default","_twitter_share_type":"default","_linkedin_share_type":"default","_pinterest_share_type":"default","_linkedin_share_type_page":"","_instagram_share_type":"default","_medium_share_type":"","_threads_share_type":"","_selected_social_profile":[],"_wpsp_enable_custom_social_template":false,"_wpsp_social_scheduling":{"enabled":false,"datetime":null,"platforms":[],"status":"template_only","dateOption":"today","timeOption":"now","customDays":"","customHours":"","customDate":"","customTime":"","schedulingType":"absolute"},"_wpsp_active_default_template":true},"categories":[3],"tags":[11,55,127,93,166],"class_list":["post-3883","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-canpath","tag-canue","tag-environment","tag-environmental-exposure","tag-linkage"],"acf":[],"modified_by":"pathwp","_links":{"self":[{"href":"https:\/\/www.atlanticpath.ca\/index.php\/wp-json\/wp\/v2\/posts\/3883","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.atlanticpath.ca\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.atlanticpath.ca\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.atlanticpath.ca\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.atlanticpath.ca\/index.php\/wp-json\/wp\/v2\/comments?post=3883"}],"version-history":[{"count":1,"href":"https:\/\/www.atlanticpath.ca\/index.php\/wp-json\/wp\/v2\/posts\/3883\/revisions"}],"predecessor-version":[{"id":3885,"href":"https:\/\/www.atlanticpath.ca\/index.php\/wp-json\/wp\/v2\/posts\/3883\/revisions\/3885"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.atlanticpath.ca\/index.php\/wp-json\/wp\/v2\/media\/3884"}],"wp:attachment":[{"href":"https:\/\/www.atlanticpath.ca\/index.php\/wp-json\/wp\/v2\/media?parent=3883"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.atlanticpath.ca\/index.php\/wp-json\/wp\/v2\/categories?post=3883"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.atlanticpath.ca\/index.php\/wp-json\/wp\/v2\/tags?post=3883"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}