electricsheepafrica/africa-synth-adolescent-health-adolescent-srh-all

⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.

Adolescent Sexual & Reproductive Health Dataset

Abstract

This dataset provides 30,000 synthetic records (10,000 per scenario) of adolescents and young people aged 10–24 years accessing SRH services in sub-Saharan African settings. Each record contains 35 variables including demographics, sexual activity, contraceptive use and method, pregnancy history, antenatal care, HIV testing, STI screening, GBV and depression screening, and service satisfaction. Three scenarios range from youth-friendly clinics (34% mCPR, 4% pregnancy) to rural limited-access settings (8% mCPR, 13% pregnancy, 60% unmet need).

1. Introduction

Sub-Saharan Africa has the world's highest adolescent birth rate (101/1000 girls aged 15–19) and 21 million adolescent pregnancies annually in developing regions (WHO 2023). Unmet need for modern contraception among sexually active 15–19 year olds reaches 60% in SSA (Darroch et al., Guttmacher 2016). UNAIDS reports 4,000 new HIV infections per week among 15–24 year old women in SSA. Gender-based violence affects ~30% of women (Palermo et al., 2019).

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

2. Methodology

2.1 Epidemiological Parameterization

Parameter	Value	Source
Adolescent birth rate (SSA)	101/1000	WHO 2023
mCPR 15–19 year olds (SSA)	8–15%	Chandra-Mouli et al., J Adolesc Health 2015
Unmet need contraception (15–19)	~60%	Darroch et al., Guttmacher 2016
HIV incidence (15–24 F, SSA)	4,000/week	UNAIDS 2023
GBV prevalence (women SSA)	~30%	Palermo et al., 2019
Median age first sex (SSA)	16–17 years	DHS/MICS compilations
ANC 4+ visits (adolescents)	50–60%	DHS/MICS

2.2 Scenario Design

Scenario	Setting	mCPR	Pregnancy Rate	HIV Testing	Unmet Need
Youth-friendly clinic	Dedicated YF services	34%	4%	70%	20%
Public health facility	General facility	18%	6%	51%	40%
Rural limited access	Rural, minimal SRH	8%	13%	26%	60%

3. Schema

Column	Type	Description
id	int	Unique identifier
age_years	int	Age (10–24)
sex	categorical	F / M
education_level	categorical	none / primary / lower_secondary / upper_secondary / tertiary
marital_status	categorical	never_married / married / cohabiting / divorced_separated
sexually_active	binary	Currently sexually active
age_at_first_sex	int	Age at sexual debut (-1 if not applicable)
number_sexual_partners_12mo	int	Partners in past 12 months
using_modern_contraceptive	binary	Using modern contraceptive method
contraceptive_method	categorical	injectable / implant / oral_pill / male_condom / iud / female_condom / none
condom_last_sex	binary	Condom used at last sexual intercourse
unmet_need_contraception	binary	Unmet need for contraception
currently_pregnant	binary	Currently pregnant (females)
ever_pregnant	binary	Ever been pregnant
number_pregnancies	int	Total pregnancies
pregnancy_outcome_last	categorical	live_birth / miscarriage / stillbirth / abortion / not_applicable
anc_visits	int	ANC visits during pregnancy
anc_4plus	binary	4 or more ANC visits
delivery_location	categorical	health_facility / home / tba / not_applicable
hiv_tested_12mo	binary	HIV tested in past 12 months
hiv_status	categorical	positive / negative / unknown
sti_screened	binary	Screened for STIs
sti_positive	binary	STI detected
sti_type	categorical	chlamydia / gonorrhoea / syphilis / trichomoniasis / hpv / none
gbv_screened	binary	Screened for gender-based violence
gbv_positive	binary	GBV screen positive
depression_screened	binary	Screened for depression
depression_positive	binary	Depression screen positive
peer_support_accessed	binary	Accessed peer support services
received_srh_counselling	binary	Received SRH counselling
referred_to_higher_level	binary	Referred to higher-level facility
satisfaction	categorical	very_satisfied / satisfied / neutral / dissatisfied

4. Validation

Key validation checks:

• mCPR gradient: Youth clinic 34% → public 18% → rural 8% ✓
• Unmet need inverse: 20% → 40% → 60% ✓
• Pregnancy rate: Increases with lower contraceptive access ✓
• HIV testing: Highest in youth-friendly clinic (70%) ✓
• GBV prevalence: Highest in rural (45%) ✓

5. Usage

from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/adolescent-srh", "public_health_facility")
df = dataset["train"].to_pandas()

python generate_dataset.py --all-scenarios --n 10000 --seed 42

6. Limitations

• Synthetic: Not derived from real patient records.
• No longitudinal follow-up: Single service encounter; no tracking over time.
• Simplified STI model: No syndromic management pathway or treatment outcomes.
• No partner data: Partner characteristics not modelled.
• No cultural context: Traditional practices and beliefs simplified.
• Binary sex: Non-binary gender identities not modelled.

7. References

1. WHO (2023). Adolescent health fact sheet.
2. Darroch JE, et al. (2016). Adding it up: costs of meeting contraceptive needs. Guttmacher Institute.
3. DHS/MICS compilations. Adolescent birth rates and SRH indicators.
4. Chandra-Mouli V, et al. (2015). Contraception for adolescents in SSA. J Adolesc Health, 56(1):S47–S58.
5. UNAIDS (2023). HIV among adolescent girls and young women.
6. WHO (2017). Global accelerated action for adolescents (AA-HA!).
7. Neal S, et al. (2020). Adolescent pregnancy outcomes in SSA. Lancet Glob Health.
8. Palermo T, et al. (2019). GBV among adolescents. J Adolesc Health.

Citation

@dataset{esa_adolescent_srh_2025,
  title={Adolescent Sexual and Reproductive Health Dataset},
  author={Electric Sheep Africa},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/electricsheepafrica/adolescent-srh}
}

License

CC-BY-4.0