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

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

Data capture method Compilation/Synthesis
Data Collection Period
FromTo
20132017
Date (Date published in a 3rd party system) 2 May 2019
Geographical area covered
North LatitudeEast LongitudeSouth LatitudeWest Longitude
13.785943.42224.5119135.5121
Language(s) of written materials English
Data Creators Regassa, LD, Gete, YK and Mekonnen, FA
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
Last Modified 17 Feb 2023 11:11
Publisher PLOS ONE

Share

Downloads

Data not available from this repository.

Downloads

View details

Metrics & Citations

Google Scholar