Connection
Mario Schootman to Environmental Exposure
This is a "connection" page, showing publications Mario Schootman has written about Environmental Exposure.
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Connection Strength |
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0.717 |
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Yu T, Wen Y, Dong PP, Sun MK, Qian SE, Schootman M, Vaughn MG, Xu SL, Huang HH, Shan FW, Zhu SF, Wang JY, Li C, Gui ZH, Liu RQ, Hu LW, Lin LZ, Lin Z, Dong GH. The association between anthropogenic heat and parent-report symptoms of childhood attention deficit hyperactivity disorder in China: A novel perspective reflecting climate change. Int J Hyg Environ Health. 2025 Mar; 264:114518.
Score: 0.214
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Wheeler DC, Raman S, Jones RM, Schootman M, Nelson EJ. Bayesian deprivation index models for explaining variation in elevated blood lead levels among children in Maryland. Spat Spatiotemporal Epidemiol. 2019 08; 30:100286.
Score: 0.146
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Wheeler DC, Jones RM, Schootman M, Nelson EJ. Explaining variation in elevated blood lead levels among children in Minnesota using neighborhood socioeconomic variables. Sci Total Environ. 2019 Feb 10; 650(Pt 1):970-977.
Score: 0.138
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Wang X, Qian Z, Wang X, Hong H, Yang Y, Xu Y, Xu X, Yao Z, Zhang L, Rolling CA, Schootman M, Liu T, Xiao J, Li X, Zeng W, Ma W, Lin H. Estimating the acute effects of fine and coarse particle pollution on stroke mortality of in six Chinese subtropical cities. Environ Pollut. 2018 Aug; 239:812-817.
Score: 0.135
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Yu H, Hu LW, Zhou Y, Qian Z, Schootman M, LeBaige MH, Zhou Y, Xiong S, Shen X, Lin LZ, Zhou P, Liu RQ, Yang BY, Chen G, Zeng XW, Yu Y, Dong GH. Association between eye-level greenness and lung function in urban Chinese children. Environ Res. 2021 11; 202:111641.
Score: 0.042
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Yu H, Zhou Y, Wang R, Qian Z, Knibbs LD, Jalaludin B, Schootman M, McMillin SE, Howard SW, Lin LZ, Zhou P, Hu LW, Liu RQ, Yang BY, Chen G, Zeng XW, Feng W, Xiang M, Dong GH. Associations between trees and grass presence with childhood asthma prevalence using deep learning image segmentation and a novel green view index. Environ Pollut. 2021 Oct 01; 286:117582.
Score: 0.042
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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