Rapid Assessment of Avoidable Blindness Dataset: Zambia, Copperbelt (2022)

Muma, I (2022). Rapid Assessment of Avoidable Blindness Dataset: Zambia, Copperbelt (2022). [Dataset]. London School of Hygiene & Tropical Medicine RAAB Repository. 10.17037/RAABDATASET.de89c347-d27c-4d2f-9c52-9d51a8602c59.
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Anonymous participant level dataset including variables for visual acuity, spectacle use, lens status, cause of vision impairment, cataract surgical history, barriers to cataract surgery and population count data for five-year age-gender groups for males and females 50 years and older.

Additional Information

This work is licensed under CC BY-NC-ND 4.0. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

Eye diseases; Vision Disorders; Cataract; Cataract extraction; Refractive errors; Health services research; Health surveys

Item Type Dataset
Resource Type
Resource Type
Resource Description
Dataset
Quantitative
Capture method Physical measurements and tests
Date 1 January 2022
Language(s) of written materials English
Creator(s) Muma, I
Research Centre Rapid Assessment of Avoidable Blindness
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom
Date Deposited 18 Dec 2025 10:28
Last Modified 18 Dec 2025 11:21
Publisher London School of Hygiene & Tropical Medicine RAAB Repository

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