Within city spatiotemporal variation of pollen concentration in the city of Toronto, Canada.

Allergens Bayes Theorem Cities Environmental Monitoring Poaceae Pollen Seasons
Bayesian inference Land-use regression Spatial distribution Temporal variation

Journal

Environmental research
ISSN: 1096-0953
Titre abrégé: Environ Res
Pays: Netherlands
ID NLM: 0147621

Informations de publication

Date de publication:
15 04 2022
Historique:
received: 12 07 2021
revised: 08 12 2021
accepted: 11 12 2021
pubmed: 20 12 2021
medline: 31 3 2022
entrez: 19 12 2021
Statut: ppublish

Résumé

The exacerbation of asthma and respiratory allergies has been associated with exposure to aeroallergens such as pollen. Within an urban area, tree cover, level of urbanization, atmospheric conditions, and the number of source plants can influence spatiotemporal variations in outdoor pollen concentrations. We analyze weekly pollen measurements made between March and October 2018 over 17 sites in Toronto, Canada. The main goals are: to estimate the concentration of different types of pollen across the season; estimate the association, if any, between pollen concentration and environmental variables, and provide a spatiotemporal surface of concentration of different types of pollen across the weeks in the studied period. We propose an extension of the land-use regression model to account for the temporal variation of pollen levels and the high number of measurements equal to zero. Inference is performed under the Bayesian framework, and uncertainty of predicted values is naturally obtained through the posterior predictive distribution. Tree pollen was positively associated with commercial areas and tree cover, and negatively associated with grass cover. Both grass and weed pollen were positively associated with industrial areas and TC brightness and negatively associated with the northing coordinate. The total pollen was associated with a combination of these environmental factors. Predicted surfaces of pollen concentration are shown at some sampled weeks for all pollen types. The predicted surfaces obtained here can help future epidemiological studies to find possible associations between pollen levels and some health outcome like respiratory allergies at different locations within the study area.

Sections du résumé

BACKGROUND
The exacerbation of asthma and respiratory allergies has been associated with exposure to aeroallergens such as pollen. Within an urban area, tree cover, level of urbanization, atmospheric conditions, and the number of source plants can influence spatiotemporal variations in outdoor pollen concentrations.
OBJECTIVE
We analyze weekly pollen measurements made between March and October 2018 over 17 sites in Toronto, Canada. The main goals are: to estimate the concentration of different types of pollen across the season; estimate the association, if any, between pollen concentration and environmental variables, and provide a spatiotemporal surface of concentration of different types of pollen across the weeks in the studied period.
METHODS
We propose an extension of the land-use regression model to account for the temporal variation of pollen levels and the high number of measurements equal to zero. Inference is performed under the Bayesian framework, and uncertainty of predicted values is naturally obtained through the posterior predictive distribution.
RESULTS
Tree pollen was positively associated with commercial areas and tree cover, and negatively associated with grass cover. Both grass and weed pollen were positively associated with industrial areas and TC brightness and negatively associated with the northing coordinate. The total pollen was associated with a combination of these environmental factors. Predicted surfaces of pollen concentration are shown at some sampled weeks for all pollen types.
SIGNIFICANCE
The predicted surfaces obtained here can help future epidemiological studies to find possible associations between pollen levels and some health outcome like respiratory allergies at different locations within the study area.

Identifiants

DOI: 10.1016/j.envres.2021.112566 PMID: 34922985
pubmed: 34922985
pii: S0013-9351(21)01867-3
doi: 10.1016/j.envres.2021.112566
pii:
doi:

Substances chimiques

Allergens 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

112566

Informations de copyright

Crown Copyright © 2022. Published by Elsevier Inc. All rights reserved.

Auteurs

Sara Zapata-Marin (S)

Quantitative Life Sciences Program, McGill University, Montreal, QC, Canada. Electronic address: sara.zapata-marin@mail.mcgill.ca.

Alexandra M Schmidt (AM)

Quantitative Life Sciences Program, McGill University, Montreal, QC, Canada; Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC, Canada.

Scott Weichenthal (S)

Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC, Canada.

Daniel S W Katz (DSW)

Dell Medical School, University of Texas at Austin, Austin, TX, USA.

Tim Takaro (T)

Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.

Jeffrey Brook (J)

Department of Public Health Sciences, University of Toronto, Toronto, ON, Canada.

Eric Lavigne (E)

Air Health Science Division and Population Studies Division, Health Canada, Ottawa, ON, Canada.

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Classifications MeSH

questionsmedicales.fr › Facteurs biologiques › Antigènes › Allergènes › Within city spatiotemporal variation of pollen...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Théorème de Bayes › Within city spatiotemporal variation of pollen...
questionsmedicales.fr › Régions géographiques › Villes › Within city spatiotemporal variation of pollen...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Pratiques en santé publique › Surveillance de l'environnement › Within city spatiotemporal variation of pollen...
questionsmedicales.fr › Eucaryotes › Viridiplantae › Streptophyta › Embryophyta › Tracheobionta › Magnoliopsida › Poaceae › Within city spatiotemporal variation of pollen...
questionsmedicales.fr › Structures de plante › Parties aériennes de plante › Sommités fleuries › Fleurs › Cellules germinales de plante › Pollen › Within city spatiotemporal variation of pollen...
questionsmedicales.fr › Environnement et santé publique › Environnement › Concepts météorologiques › Atmosphère › Climat › Saisons › Within city spatiotemporal variation of pollen...