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Dataset for the article: Asthma symptoms, spirometry and air pollution exposure in schoolchildren in an informal settlement and an affluent area of Nairobi, Kenya

Meme, Helen, Amukoye, Evans, Bowyer, Cressida, Das, Darpan, Dobson, Ruaraidh, Fuld, Jonathan, Gray, Cindy, Hahn, Matthew, Kiplimo, Richard, Lesosky, Maia ORCID: https://orcid.org/0000-0002-2026-958X, Loh, Miranda, McKendree, Maia, Mortimer, Kevin, Ndombi, Amos, Netter, Louis, Obasi, Angela, Orina, Fred, Pearson, Clare, Price, Heather, Quint, Jennifer, Semple, Sean, Twigg, Marsailidh, Waelde, Charlotte, Wilson, Michael, Walnycki, Anna, Warwick, Melaneia, Wendler, Jana, West, Sarah, Zurba, Lindsey and Devereux, Graham ORCID: https://orcid.org/0000-0002-0024-4887 (2022) Dataset for the article: Asthma symptoms, spirometry and air pollution exposure in schoolchildren in an informal settlement and an affluent area of Nairobi, Kenya. [Data Collection]

Summary

Contains the protocol and data used to produce this manuscript: A cross-sectional study of asthma in schoolchildren in an informal (slum) settlement and a more affluent residential area of Nairobi, Kenya: the Tupumue study (article in press).

Data comprises respiratory symptom, lung function and air pollution data for children aged <=18 years attending schools in the informal settlement of Mukuru in Nairobi and those attending schools in the adjacent more affluent residential area of Buruburu.

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This dataset is made available under the Creative Commons License Attribution 4.0 International v4.0 (CC BY 4.0). This licence allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The licence allows for commercial use. Details of the licence can be found at https://creativecommons.org/licenses/by/4.0/

Dataset DOI: https://doi.org/10.57978/LSTM.00021509

Faculty: Department: Clinical Sciences & International Health > Clinical Sciences Department
Data Type: PDF file for protocol. Excel file for data and data dictionary.
Geographic coverage : Kenya
Date Deposited: 18 Nov 2022 14:38
Last Modified: 16 Oct 2024 14:04
URI: https://archive.lstmed.ac.uk/id/eprint/21509

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