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Characterization of Ambient Air Quality in Selected Urban Areas in Uganda Using Low-Cost Sensing and Measurement Technologies.
Environ Sci Technol. 2022 Mar 15;56(6):3324-3339. doi: 10.1021/acs.est.1c01443. Epub 2022 Feb 11.
Environ Sci Technol. 2022.
PMID: 35147038
A land use regression model using machine learning and locally developed low cost particulate matter sensors in Uganda.
Coker ES, Amegah AK, Mwebaze E, Ssematimba J, Bainomugisha E.
Coker ES, et al. Among authors: ssematimba j.
Environ Res. 2021 Aug;199:111352. doi: 10.1016/j.envres.2021.111352. Epub 2021 May 24.
Environ Res. 2021.
PMID: 34043968
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Seeing the air in detail: Hyperlocal air quality dataset collected from spatially distributed AirQo network.
Sserunjogi R, Ssematimba J, Okure D, Ogenrwot D, Adong P, Muyama L, Nsimbe N, Bbaale M, Bainomugisha E.
Sserunjogi R, et al. Among authors: ssematimba j.
Data Brief. 2022 Aug 3;44:108512. doi: 10.1016/j.dib.2022.108512. eCollection 2022 Oct.
Data Brief. 2022.
PMID: 35990920
Free PMC article.
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AirQo sensor kit: A particulate matter air quality sensing kit custom designed for low-resource settings.
Bainomugisha E, Ssematimba J, Okedi D, Nsubuga A, Banda M, Settala GW, Lubisia G.
Bainomugisha E, et al. Among authors: ssematimba j.
HardwareX. 2023 Nov 2;16:e00482. doi: 10.1016/j.ohx.2023.e00482. eCollection 2023 Dec.
HardwareX. 2023.
PMID: 38020545
Free PMC article.
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