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Predicting air pollution changes due to temperature increases in two Brazilian capitals using machine learning – a necessary perspective for a climate resilient health future.

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Title: Predicting air pollution changes due to temperature increases in two Brazilian capitals using machine learning – a necessary perspective for a climate resilient health future.
Authors: Adler Tavella, Ronan1,2,3 (AUTHOR), Scursone, Gabriel Fuscald3 (AUTHOR), dos Santos da Silva, Leopoldo4 (AUTHOR), Nadaleti, Willian Cézar4 (AUTHOR), Adamatti, Diana Francisca3 (AUTHOR), El Khouri Miraglia, Simone Georges1,2 (AUTHOR), da Silva Júnior, Flavio Manoel Rodrigues3,4 (AUTHOR) f.m.r.silvajunior@gmail.com
Source: International Journal of Environmental Health Research. Nov2025, Vol. 35 Issue 11, p3392-3406. 15p.
Database: Environment Complete
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DbLabel: Environment Complete
An: 189081366
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PubType: Academic Journal
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  Data: Predicting air pollution changes due to temperature increases in two Brazilian capitals using machine learning – a necessary perspective for a climate resilient health future.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Environmental+Health+Research%22">International Journal of Environmental Health Research</searchLink>. Nov2025, Vol. 35 Issue 11, p3392-3406. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=189081366
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      – Type: doi
        Value: 10.1080/09603123.2025.2486598
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      – Code: eng
        Text: English
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      – TitleFull: Predicting air pollution changes due to temperature increases in two Brazilian capitals using machine learning – a necessary perspective for a climate resilient health future.
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              Text: Nov2025
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