yamnao/modelling_cataract_mortality
Ouchtar, YORCID logo (2025). yamnao/modelling_cataract_mortality. [Dataset]. Github. https://github.com/yamnao/modelling_cataract_mortality
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This repository contains the code and data used to simulate cataract backlog dynamics in Kenya (1980–2040). The model estimates how the prevalence of visually impairing cataract evolves over time under different assumptions about incidence, surgical rates, and mortality. It also quantifies outcomes such as: the number of people living with untreated cataract, cumulative cataract surgeries performed, and - deaths among untreated individuals. Code is done using Python. You will need to install the package pandas, numpy, matplotlib to run it.

Alternative Title

Cataract Backlog Simulation Model

Keywords

Cataract; Visual impairment

Item Type Dataset
Resource Type
Resource Type
Resource Description
Software
Jupyter notebook
Capture method Other
Date 10 October 2025
Language(s) of written materials English
Creator(s) Ouchtar, YORCID logo
LSHTM Faculty/Department Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & International Health (2023-)
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom
Date Deposited 18 Feb 2026 10:53
Last Modified 18 Feb 2026 11:03
Publisher Github

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