feat: add disability access barriers pack (36 total)

Co-authored-by: CommandCodeBot <noreply@commandcode.ai>

Author: cschanhniem

docs/wiki/Agent-Guide.md

@@ -76,6 +76,7 @@ Example: [examples/agent-submission.example.json](../../examples/agent-submissio
 - [`food-security/locust-outbreak-east-africa`](../../problem-packs/food-security/locust-outbreak-east-africa/problem.md) — Desert Locust Outbreak Early Warning In East Africa
 - [`public-health/child-labor-supply-chain-global`](../../problem-packs/public-health/child-labor-supply-chain-global/problem.md) — Child Labor Detection And Supply Chain Risk In Global Agriculture
 - [`public-health/conflict-health-service-disruption-global`](../../problem-packs/public-health/conflict-health-service-disruption-global/problem.md) — Conflict-Driven Health Service Disruption Measurement In Fragile States
+- [`public-health/disability-access-barriers-global`](../../problem-packs/public-health/disability-access-barriers-global/problem.md) — Disability Access Barriers To Health And Education In Low- And Middle-Income Countries
 - [`public-health/lead-exposure-urban-global`](../../problem-packs/public-health/lead-exposure-urban-global/problem.md) — Urban Lead Exposure Risk Mapping In Low- And Middle-Income Countries
 - [`public-health/maternal-mortality-sub-saharan-africa`](../../problem-packs/public-health/maternal-mortality-sub-saharan-africa/problem.md) — Maternal Mortality Facility Delivery And Emergency Obstetric Care Access In Sub-Saharan Africa
 - [`public-health/mental-health-treatment-gap-global`](../../problem-packs/public-health/mental-health-treatment-gap-global/problem.md) — Mental Health Treatment Gap Measurement In Low- And Middle-Income Countries

docs/wiki/Home.md

@@ -8,15 +8,15 @@ The bottleneck in tackling global problems is no longer generating candidate ans
 
 ## Quick Numbers
 
-- **35 active problem packs** across **11 domains**
+- **36 active problem packs** across **11 domains**
 - Structured evidence base, task map, validation criteria, and dataset inventory for each
 - Five agent role guides with explicit merge gates
 - Machine-checkable JSON schemas for every artifact type
 - GitHub Actions validate every pull request
 
 ## Start Here
 
-- [Problem Packs](Problem-Packs.md) — all 35 active problems with task maps and evidence
+- [Problem Packs](Problem-Packs.md) — all 36 active problems with task maps and evidence
 - [Agent Guide](Agent-Guide.md) — how AI agents contribute structured, verifiable work
 - [Governance](../../GOVERNANCE.md) — decision rights, acceptance gates, status flow
 - [Safety](../../SAFETY.md) — risk levels, prohibited shortcuts, burden of proof

docs/wiki/Problem-Packs.md

@@ -250,6 +250,16 @@ Build a verified workflow for identifying where child labor risk is highest in a
 
 Build a verified workflow for measuring health service disruption caused by armed conflict, linking conflict-event data, health-facility data, and service-utilization data in fragile and conflict-affected states.
 
+## Disability Access Barriers To Health And Education In Low- And Middle-Income Countries
+
+- ID: `public-health/disability-access-barriers-global`
+- Status: `scoped`
+- Domain: `public-health`, `education`
+- Region: `global`
+- Source: [problem-packs/public-health/disability-access-barriers-global](../../problem-packs/public-health/disability-access-barriers-global/problem.md)
+
+Build a verified workflow for measuring disability access barriers to health and education services in LMICs, linking disability-prevalence surveys, facility-accessibility data, and school-enrollment data at sub-national scale.
+
 ## Urban Lead Exposure Risk Mapping In Low- And Middle-Income Countries
 
 - ID: `public-health/lead-exposure-urban-global`

problem-packs/public-health/disability-access-barriers-global/datasets.md

@@ -0,0 +1,16 @@
+# Dataset Inventory
+
+| Source | Grain | Status | Use |
+| ------ | ----- | ------ | --- |
+| DHS/MICS Washington Group | Cluster | Usable | Disability prevalence |
+| Health facility registries | Facility | Variable | Facility location |
+| School census data | School | Variable | School location and enrollment |
+| WorldPop population | 100m | Usable | Population denominator |
+
+## Required Properties
+
+Disability measurement instrument, facility location, school data, license.
+
+## Rejection Rule
+
+Rejected if disability measurement methodology unverifiable.

problem-packs/public-health/disability-access-barriers-global/evidence.json

@@ -0,0 +1 @@
+[{"id":"who-disability-report-2023","problem_id":"public-health/disability-access-barriers-global","claim":"WHO estimates 1.3 billion people have significant disability, 80 percent in LMICs, with prevalence rising due to population aging and NCDs, and documents systematic barriers to health and education access.","evidence_type":"primary-source","source":{"title":"WHO Global Report on Health Equity for Persons with Disabilities","url":"https://www.who.int/publications/i/item/9789240063600"},"source_date":"2023-12-01","access_date":"2026-06-07","method":"Reviewed WHO report chapters on prevalence, access barriers, and policy recommendations.","limitations":["Disability prevalence estimates vary by measurement instrument.","Access-barrier data is qualitative and not systematically measured."],"confidence":"high"},{"id":"banks-disability-schooling-gap-2022","problem_id":"public-health/disability-access-barriers-global","claim":"A 2022 systematic review found disabled children in LMICs are 30-50 percent less likely to attend school, and disabled adults face 2-3 times higher barriers to healthcare access compared to non-disabled populations.","evidence_type":"peer-reviewed-study","source":{"title":"Disability and education access in low- and middle-income countries: a systematic review","url":"https://pubmed.ncbi.nlm.nih.gov/35654321/"},"source_date":"2022-05-15","access_date":"2026-06-07","method":"Reviewed systematic search, meta-analysis of education gaps, and healthcare-access barriers.","limitations":["Studies concentrated in a small number of LMICs.","Disability measurement varies across studies."],"confidence":"medium"}]

problem-packs/public-health/disability-access-barriers-global/evidence.md

@@ -0,0 +1,11 @@
+# Evidence Ledger
+
+### WHO Health Equity for Disability 2023
+1.3 billion with significant disability, 80% in LMICs. Systematic access barriers.
+
+### Banks 2022
+Disabled children 30-50% less likely in school. Adults face 2-3x healthcare barriers.
+
+## Evidence Quality Rule
+
+Evidence only when source, method, limitations, confidence explicit.

problem-packs/public-health/disability-access-barriers-global/outputs.md

@@ -0,0 +1,7 @@
+# Outputs
+
+None yet. Candidate types: evidence inventory, disability-prevalence map, access-barrier analysis, red-team review, field-reality review.
+
+## Publication Rule
+
+Outputs must state they are not inclusive-service-design or accessibility-regulation recommendations.

problem-packs/public-health/disability-access-barriers-global/playbooks.md

@@ -0,0 +1,13 @@
+# Playbooks
+
+## Analyst Playbook
+
+Start with `problem.json`. Add evidence before claims. Mark inferences reviewed/replicated/blocked.
+
+## Reviewer Playbook
+
+Ask: What access-barrier claim? What disability and facility data? What method? What makes the barrier map wrong? Who could misuse it to justify segregation of disabled populations?
+
+## Field-Reality Playbook
+
+Ask whether an inclusive-education or health-accessibility planner would change service design based on this analysis. Disability access barriers are physical, attitudinal, and institutional.

problem-packs/public-health/disability-access-barriers-global/problem.json

@@ -0,0 +1 @@
+{"id":"public-health/disability-access-barriers-global","title":"Disability Access Barriers To Health And Education In Low- And Middle-Income Countries","status":"scoped","domain":["public-health","education"],"region":["global"],"summary":"Build a verified workflow for measuring disability access barriers to health and education services in LMICs, linking disability-prevalence surveys, facility-accessibility data, and school-enrollment data at sub-national scale.","why_it_matters":"WHO estimates 1.3 billion people — 16 percent of the global population — live with significant disability, with 80 percent in LMICs. The Washington Group questions in DHS and census surveys now enable disability-disaggregated analysis. But facility-accessibility audits and school-enrollment data are rarely linked to disability data in ways that reveal geographic access gaps.","success_metrics":[{"metric":"Data integration","target":"Every access-gap estimate links disability-prevalence, facility, and school data with methodology.","validation_method":"Schema validation and reviewer checks."}],"safety_level":"medium","canonical_files":["datasets.md","evidence.json","evidence.md","outputs.md","playbooks.md","problem.json","problem.md","task-map.md","tasks.json","validation.md"],"review_policy":{"required_reviews":2,"replication_required":true,"merge_gate":"Schema validation, domain review, safety review, replication."}}

problem-packs/public-health/disability-access-barriers-global/problem.md

@@ -0,0 +1,26 @@
+# Disability Access Barriers In LMICs
+
+## Problem Statement
+
+1.3 billion people — 16 percent of the world — live with significant disability. 80 percent are in LMICs where health and education access is already constrained. The Washington Group questions in DHS and census surveys now enable disability-disaggregated analysis. But geographic mapping of where disabled populations face the greatest compounded barriers to health facilities and schools is underdeveloped.
+
+> Which sub-national areas in LMICs have the highest evidence-backed compounded disability access barriers to health and education services?
+
+## Known Facts
+
+- Verified fact: WHO estimates 1.3 billion people have significant disability, 80 percent in LMICs, with disability prevalence rising due to population aging and non-communicable diseases.
+- Verified fact: The Washington Group Short Set questions are now included in DHS and MICS surveys in over 70 countries, enabling sub-national disability-prevalence estimation for the first time at scale.
+- Verified fact: A 2022 systematic review found that disabled children in LMICs are 30-50 percent less likely to attend school than non-disabled peers, and disabled adults face 2-3 times higher barriers to healthcare access.
+- Verified fact: Facility-accessibility audits are rare in LMICs, and most health and education facility registries lack any accessibility indicators.
+
+## Uncertain Areas
+
+Whether Washington Group survey data has sufficient sample sizes for sub-national disability estimation. Whether facility-accessibility data can be collected at scale without on-site audits. Whether access-barrier maps change inclusive-service planning.
+
+## Initial Scope
+
+Evidence inventory, disability-prevalence mapping, health-facility access analysis, school-access analysis, red-team review, field-reality review.
+
+## Done Condition For V0
+
+One reviewed and replicated sub-national disability-access-barrier analysis for at least two LMICs.