Greenness, air pollution, and temperature exposure effects in predicting premature mortality and morbidity: A small-area study using spatial random forest model-Reference-Cited by-同舟云学术

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Greenness, air pollution, and temperature exposure effects in predicting premature mortality and morbidity: A small-area study using spatial random forest model

Published:2024-06 Issue: Volume:928 Page:172387
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Labib S.M.

Funder

University of Cambridge

Publisher

Elsevier BV

Reference94 articles.

1. Permutation importance: a corrected feature importance measure;Altmann;Bioinformatics,2010

2. Algorithm for automated mapping of land surface temperature using LANDSAT 8 satellite data;Avdan;J. Sens.,2016

3. Air pollution and surrounding greenness in relation to ischemic stroke: a population-based cohort study;Avellaneda-Gómez;Environ. Int.,2022

4. Green space and mortality in European cities: a health impact assessment study;Barboza;Lancet Planet. Health,2021

5. Effects of long-term exposure to air pollution on natural-cause mortality: an analysis of 22 European cohorts within the multicentre ESCAPE project;Beelen;Lancet,2014

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Residential greenspace and COVID-19 Severity: A cohort study of 313,657 individuals in Greater Manchester, United Kingdom;Environment International;2024-08

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