salama-cdi-models

MubarakB/salama-cdi-models

salama-cdi-models is a tabular classification model from MubarakB. Use it for the tabular classification task on the model card, and read the license before you ship it in a product. The card lists the license as mit.

Trained models for predicting climate-driven health facility disruptions in South Sudan, 28 days in advance.

Downloads · 30 days

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Public

Updated Jun 19, 2026

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3.1 MB

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Hugging Face

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.pkl2.9 MB · 92%

At a glance

Task: Tabular Classification
License: mit
Access: Public
Created: Jun 19, 2026
Updated: Jun 19, 2026
SHA: d5fa86d3

Model card

From the Hugging Face model README

Salama Health: Climate Disruption Index Models

Trained models for predicting climate-driven health facility disruptions in South Sudan, 28 days in advance.

What These Models Do

These models power the Climate Disruption Index (CDI), a composite score between 0 and 1 assigned to each Primary Health Care Centre across Unity, Jonglei, and Upper Nile states in South Sudan.

The CDI estimates the probability that a facility will be cut off from the communities it serves due to flooding, road damage, cold chain failure, or population displacement within the next 28 days.

CDI scores feed into the Immunisation Gap Score (IGS) which ranks individual children by visit urgency for community health workers.

Performance

Model	OOF AUC	Ensemble Weight
XGBoost	1.0	0.341
Random Forest	0.9548	0.3256
LSTM	0.9775	0.3334
Ensemble	nan

CDI Formula

CDI = 0.35 x P(flood) + 0.30 x P(cutoff) + 0.20 x P(CCF) + 0.15 x P(disp)

Pilot Coverage

93 Primary Health Care Centres
Unity, Jonglei, and Upper Nile states, South Sudan
9,617 training observations, 2021 to 2024
Top facility: NHIAL DIU PHCC, Rubkona County, Unity State, CDI 0.501

Contact

Makarere AI Research Lab [email protected]

Task: Tabular Classification
License: mit
Languages: en
Created: Jun 19, 2026
Updated: Jun 19, 2026