Regassa, LD, Gete, YK and Mekonnen, FA. 2019. Time to acute kidney injury and its predictors among newly diagnosed Type 2 diabetic patients at government hospitals in Harari Region, East Ethiopia. S1 Data. [Online]. PLOS ONE. Available from: https://doi.org/10.1371/journal.pone.0215967.s001
Regassa, LD, Gete, YK and Mekonnen, FA. Time to acute kidney injury and its predictors among newly diagnosed Type 2 diabetic patients at government hospitals in Harari Region, East Ethiopia. S1 Data [Internet]. PLOS ONE; 2019. Available from: https://doi.org/10.1371/journal.pone.0215967.s001
Regassa, LD, Gete, YK and Mekonnen, FA (2019). Time to acute kidney injury and its predictors among newly diagnosed Type 2 diabetic patients at government hospitals in Harari Region, East Ethiopia. S1 Data. [Data Collection]. PLOS ONE. https://doi.org/10.1371/journal.pone.0215967.s001
Description
This is the data set of a study of AKI incidence and its associated factors among Type 2 Diabetic patients.
| Data capture method | Compilation/Synthesis | ||||||||
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| Data Collection Period |
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| Date (Date published in a 3rd party system) | 2 May 2019 | ||||||||
| Geographical area covered (offline during plugin upgrade) |
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| Language(s) of written materials | English |
| Data Creators | Regassa, LD, Gete, YK and Mekonnen, FA |
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| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 17 Feb 2023 11:11 |
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| Last Modified | 17 Feb 2023 11:11 |
| Publisher | PLOS ONE |
