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Ontlametse/Tsu_Data

Oral Health & Dental Disease Dataset Abstract This dataset provides 30,000 simulated oral health records (10,000 per scenario) from sub-Saharan Africa. Each record contains 40+ variables including dental caries, DMFT score, periodontal disease, noma, oral cancer, treatment access, barriers, and outcomes. Three settings: dental clinic (23% care-seeking), district hospital (16%), and rural health centre (8%). 1. Introduction Africa bears the largest… See the full description on the dataset page: https://huggingface.co/datasets/Ontlametse/Tsu_Data.

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Oral Health & Dental Disease Dataset

Abstract

This dataset provides 30,000 simulated oral health records (10,000 per scenario) from sub-Saharan Africa. Each record contains 40+ variables including dental caries, DMFT score, periodontal disease, noma, oral cancer, treatment access, barriers, and outcomes. Three settings: dental clinic (23% care-seeking), district hospital (16%), and rural health centre (8%).

1. Introduction

Africa bears the largest global increase in oral diseases (WHO 2024). The six major conditions are dental caries, periodontal disease, oral cancer, oral HIV manifestations, noma, and cleft lip/palate. DMFT scores average ~4 in SSA adults. Untreated caries is the most prevalent condition. The dentist-to-population ratio is <1:100,000 in many SSA countries. Noma (cancrum oris) persists in extreme poverty with 70-90% CFR if untreated.

This dataset is entirely simulated. It must not be used for clinical decision-making.

2. Methodology

2.1 Parameterization

Parameter	Value	Source
Dental caries prevalence	~55%	WHO 2022
Untreated caries	~80% of caries	WHO Africa 2024
DMFT (age 12)	~2.6	PubMed 2021
Periodontal disease	~17%	WHO 2022
Dentist ratio	<1:100K	WHO Africa
Noma in malnourished children	~0.5%	WHO Africa
Extraction dominates treatment	~50%	BMC PH 2021

2.2 Scenario Design

Scenario	Dentist	Restorative	X-ray	Care-Seeking
Dental clinic	Yes	Yes	Yes	23%
District hospital	Yes	No	No	16%
Rural health centre	No	No	No	8%

3. Schema

Column	Type	Description
id	int	Unique identifier
age_years	int	Age
sex	categorical	M / F
dental_caries	binary	Dental caries
dmft_score	int	DMFT score
untreated_caries	binary	Untreated caries
periodontal_disease	binary	Periodontal disease
periodontal_severity	categorical	mild / moderate / severe
tooth_loss	int	Teeth lost
oral_cancer	binary	Oral cancer
noma	binary	Noma (cancrum oris)
dental_pain	binary	Dental pain
dental_abscess	binary	Abscess
sugary_diet	binary	High sugar diet
fluoride_toothpaste	binary	Fluoride paste use
brushing_frequency	categorical	never / occasional / once / twice daily
soughtdentalcare	binary	Sought care
treatment_received	categorical	extraction / filling / scaling / antibiotics / pain_relief / traditional
barriertocare	categorical	cost / distance / nodentist / fear / notsevere / traditional
pain_resolved	binary	Pain resolved

4. Validation

Key validation checks:

—Caries: ~55% prevalence ✓
—Untreated: ~80% of caries ✓
—Care-seeking gradient: 23% → 16% → 8% ✓
—Extraction dominates treatment ✓
—DMFT mean ~4 ✓
—Barriers: Cost and distance dominant ✓

5. Usage

python

from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/oral-health-dental-disease", "district_hospital")
df = dataset["train"].to_pandas()

6. Limitations

—Simulated: Not from real dental registries.
—No imaging: No radiographic data.
—No clinical exam: No periodontal probing depths.
—Simplified: No detailed orthodontic data.
—No fluoride levels: No water fluoride concentrations.

7. References

1.WHO Africa (2024). Oral health in the African Region.
2.WHO (2022). Global Oral Health Status Report.
3.PubMed (2021). DMFT in East Africa.
4.BMC Public Health (2021). Dental caries in adults SSA.
5.WHO Africa. Noma (cancrum oris).
6.PubMed (2015). Oral health South Africa.
7.PubMed (2021). Dental caries prevalence East Africa.

Citation

bibtex

@dataset{esa_oral_health_2025,
  title={Oral Health and Dental Disease Dataset},
  author={Electric Sheep Africa},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/electricsheepafrica/oral-health-dental-disease}
}

License

CC-BY-4.0