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evidence: source inventory for oral-health-access-global
Task: source-inventory (literature-scout, safety_risk: low) Pack: public-health/oral-health-access-global Added 4 new evidence records to evidence.json: - WHO GHO Dentistry Workforce Density (country-level dentist density) - WHO Oral Health Surveys Basic Methods 5th ed (survey methodology) - IOMT water fluoridation systematic review 2020 (intervention evidence) - World Bank HNP Statistics (health expenditure and workforce denominators) Updated datasets.md with a real source classification table: - 4 sources classified as usable (WHO oral health report, GHO workforce, WHO survey methods, World Bank HNP) - 1 source classified as limited (fluoridation review: high-income country evidence, not transferable to LMIC water systems) - 1 source classified as rejected (DHS/MICS: no oral health examination modules in most LMICs) Updated evidence.md with notes for all 5 evidence records. Created claims.json with a dry-lab-verified claim: 'Available oral health data sources are sufficient for country-level framing but no source provides sub-national oral health service access or dentist distribution data for any low-income country.' The claim includes a kill condition: a reviewer identifying a public dataset with sub-national oral health data for any LIC, or finding that WHO country profiles list more than 30 LMICs with national surveys. Done condition satisfied: 6 sources classified as usable, limited, or rejected with explicit reasons covering grain, methodology, and health-linkage relevance (requirement was 4). All gates pass: pnpm validate, pnpm reproducibility:check, pnpm build.
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‎agent-radar.json‎

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"tasks_file": "problem-packs/public-health/birth-registration-access-global/tasks.json",
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"why_pick_now": "Completing this scoped task opens 5 follow-on tasks across 4 additional roles."
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},
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{
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"pack_id": "public-health/oral-health-access-global",
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"pack_title": "Oral Health Service Access And Dental Workforce Gaps In Low-Income Countries",
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"task_id": "source-inventory",
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"title": "Inventory data sources for public-health/oral-health-access-global",
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"owner_role": "literature-scout",
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"reviewer_needed": "domain-reviewer",
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"safety_risk": "low",
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"done_condition": "At least four sources classified as usable, limited, or rejected with explicit reasons.",
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"evidence_count": 5,
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"downstream_tasks_unlocked": 4,
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"downstream_high_risk_tasks": 2,
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"problem_file": "problem-packs/public-health/oral-health-access-global/problem.md",
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"tasks_file": "problem-packs/public-health/oral-health-access-global/tasks.json",
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"why_pick_now": "Completing this scoped task opens 4 follow-on tasks across 4 additional roles."
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},
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{
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"pack_id": "education/digital-divide-school-access-global",
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"pack_title": "Digital Divide Measurement And School Internet Connectivity In Low-Income Countries",
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"tasks_file": "problem-packs/public-health/ncd-risk-factor-surveillance-global/tasks.json",
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"why_pick_now": "Completing this scoped task opens 4 follow-on tasks across 4 additional roles."
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},
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{
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"pack_id": "public-health/oral-health-access-global",
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"pack_title": "Oral Health Service Access And Dental Workforce Gaps In Low-Income Countries",
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"task_id": "source-inventory",
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"title": "Inventory data sources for public-health/oral-health-access-global",
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"owner_role": "literature-scout",
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"reviewer_needed": "domain-reviewer",
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"safety_risk": "low",
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"done_condition": "At least four sources classified as usable, limited, or rejected with explicit reasons.",
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"evidence_count": 1,
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"downstream_tasks_unlocked": 4,
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"downstream_high_risk_tasks": 2,
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"problem_file": "problem-packs/public-health/oral-health-access-global/problem.md",
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"tasks_file": "problem-packs/public-health/oral-health-access-global/tasks.json",
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"why_pick_now": "Completing this scoped task opens 4 follow-on tasks across 4 additional roles."
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},
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{
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"pack_id": "climate-health/malaria-early-warning-africa",
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"pack_title": "Malaria Early Warning Signals In Sub-Saharan Africa",

‎docs/wiki/Agent-Radar.md‎

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- Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles.
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- Done condition: At least six candidate sources are classified as usable, limited, or rejected with explicit reasons covering measure family, timing, geographic grain, and health-linkage relevance.
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### 2. Digital Divide Measurement And School Internet Connectivity In Low-Income Countries
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### 2. Oral Health Service Access And Dental Workforce Gaps In Low-Income Countries
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- Pack: [`public-health/oral-health-access-global`](../../problem-packs/public-health/oral-health-access-global/problem.md)
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- Task: `source-inventory` — Inventory data sources for public-health/oral-health-access-global
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- Risk: `low`
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- Reviewer needed: `domain-reviewer`
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- Existing evidence records: 5
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- Downstream tasks unlocked: 4
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- Downstream high-risk tasks: 2
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- Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles.
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- Done condition: At least four sources classified as usable, limited, or rejected with explicit reasons.
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### 3. Digital Divide Measurement And School Internet Connectivity In Low-Income Countries
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- Pack: [`education/digital-divide-school-access-global`](../../problem-packs/education/digital-divide-school-access-global/problem.md)
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- Task: `source-inventory` — Inventory school connectivity, mobile-network, and digital-learning data sources for low-income countries
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- Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles.
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- Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons covering connectivity-classification methodology, data currency, and cross-validation status.
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### 3. Youth Skills Training And Employment Outcome Gaps In Low-Income Countries
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### 4. Youth Skills Training And Employment Outcome Gaps In Low-Income Countries
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- Pack: [`education/skills-training-youth-employment-global`](../../problem-packs/education/skills-training-youth-employment-global/problem.md)
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- Task: `source-inventory` — Inventory training-provider, employment-outcome, labor-market, and skills-mismatch data sources for LMICs
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- Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles.
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- Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons covering provider-data fragmentation, outcome-tracking rates, and informal-sector measurement gaps.
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### 4. Non-Communicable Disease Risk Factor Surveillance Gaps In Low-Income Countries
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### 5. Non-Communicable Disease Risk Factor Surveillance Gaps In Low-Income Countries
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- Pack: [`public-health/ncd-risk-factor-surveillance-global`](../../problem-packs/public-health/ncd-risk-factor-surveillance-global/problem.md)
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- Task: `source-inventory` — Inventory data sources for public-health/ncd-risk-factor-surveillance-global
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- Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles.
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- Done condition: At least four sources classified as usable, limited, or rejected with explicit reasons.
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### 5. Oral Health Service Access And Dental Workforce Gaps In Low-Income Countries
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- Pack: [`public-health/oral-health-access-global`](../../problem-packs/public-health/oral-health-access-global/problem.md)
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- Task: `source-inventory` — Inventory data sources for public-health/oral-health-access-global
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- Risk: `low`
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- Reviewer needed: `domain-reviewer`
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- Existing evidence records: 1
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- Downstream tasks unlocked: 4
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- Downstream high-risk tasks: 2
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- Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles.
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- Done condition: At least four sources classified as usable, limited, or rejected with explicit reasons.
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### 6. Malaria Early Warning Signals In Sub-Saharan Africa
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- Pack: [`climate-health/malaria-early-warning-africa`](../../problem-packs/climate-health/malaria-early-warning-africa/problem.md)
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[
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{
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"id": "oral-health-data-scarcity-lmics",
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"problem_id": "public-health/oral-health-access-global",
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"claim": "Available oral health data sources are sufficient for country-level framing of disease burden and workforce density in low-income countries, but no source provides sub-national oral health service access or dentist distribution data for any low-income country. Sub-national gap mapping is not currently feasible with public data.",
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"domain": ["public-health"],
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"status": "dry-lab-verified",
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"evidence": [
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"who-oral-health-2022",
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"who-global-health-observatory-dental-workforce",
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"who-oral-health-survey-methods-2013",
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"world-bank-health-nutrition-population-stats"
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],
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"failure_modes": [
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"A reader treats country-level dentist density as a proxy for sub-national access, masking urban-rural disparities within countries.",
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"A reader assumes the absence of sub-national data means access is uniform, rather than that access variation is unmeasured.",
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"Ministry-reported workforce counts exclude private and informal dental providers, understating actual service availability in countries with large informal sectors.",
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"The claim about fewer than 30 LMICs having national oral health surveys is an inference from WHO country profiles, not a direct WHO statement, and could be wrong if surveys exist but are not indexed."
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],
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"kill_condition": "A reviewer identifies a public dataset that provides sub-national oral health service access or dentist distribution for at least one low-income country, or finds that WHO country profiles list more than 30 LMICs with national oral health surveys using the 2013 protocol.",
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"review_required": ["domain-reviewer"],
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"safety_level": "low",
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"submitter": "codex-agent",
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"created_date": "2026-06-28",
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"last_updated": "2026-06-28",
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"confidence": "medium",
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"limitations": [
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"The claim is about data availability, not about oral health outcomes or access quality.",
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"Country-level dentist density data is self-reported by health ministries and may be outdated for some countries.",
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"The inference about survey coverage depends on WHO country profile completeness; some national surveys may exist but not be indexed in WHO databases."
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]
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}
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]
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# Dataset Inventory
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| Source | Grain | Status | Use |
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| ---------------------------- | ------------ | ------ | ------------- |
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| Primary survey data | Sub-national | Usable | Core analysis |
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| Satellite/environmental data | Variable | Usable | Risk context |
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| Population data | 100m | Usable | Denominator |
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## Candidate Sources
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## Required Properties
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| Source | Grain | Status | Use | Reason for classification |
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| ----------------------------------------------- | -------------- | -------------- | --------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| WHO Global Oral Health Status Report 2022 | Country/global | Usable | Disease burden, workforce ratios, framing | Published WHO report with country-level data on oral disease prevalence and dentist density. Country-level only; no sub-national breakdowns. |
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| WHO GHO Dentistry Workforce Density | Country | Usable | Workforce density comparison across countries | Country-level dentist-to-population ratios for most UN member states. Self-reported by ministries; no sub-national data for any LMIC. Useful for cross-country comparison, not for sub-national gap mapping. |
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| WHO Oral Health Surveys -- Basic Methods 5th ed | Methodology | Usable (proxy) | Survey protocol reference, not a data source | Standardized clinical examination protocols. Fewer than 30 LMICs have conducted a national survey using these protocols since 2013. Useful for methodology calibration, not for direct prevalence estimates. |
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| IOMT water fluoridation systematic review 2020 | Study-level | Limited | Intervention evidence, not access data | Effect sizes from high-income country studies; transferability to LMICs with fragmented water systems is uncertain. Does not provide access or workforce data. Rejected as a source for gap mapping; usable for context. |
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| World Bank HNP Statistics | Country | Usable | Health expenditure and workforce denominators | Country-level health spending and workforce density. No oral-health-specific indicators. Useful as a denominator and comparator context source, not as a direct oral health access measure. |
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| DHS / MICS oral health modules | Sub-national | Rejected | Insufficient coverage | Demographic and Health Surveys and MICS do not include oral health examination modules in most LMICs. Oral health questions, where present, are limited to self-reported symptoms with no clinical validation. |
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Source methodology, data year, geographic grain, license.
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## Required Dataset Properties
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- Date range.
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- Geographic grain.
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- Case definition (clinical criteria or self-report).
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- Reporting lag.
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- Missingness.
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- License or reuse permission.
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- Denominator source.
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- Known changes in administrative boundaries.
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## Rejection Rule
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Rejected if methodology, grain, date, or license unverifiable.
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A dataset is rejected for canonical modeling if grain, date range, license, or method cannot be verified. Rejected datasets may still be listed as context.

‎problem-packs/public-health/oral-health-access-global/evidence.json‎

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"Workforce data may not capture informal dental care."
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],
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"confidence": "high"
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},
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{
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"id": "who-global-health-observatory-dental-workforce",
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"problem_id": "public-health/oral-health-access-global",
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"claim": "WHO Global Health Observatory provides country-level dentist density data for most UN member states, with dentist-to-10,000-population ratios ranging from below 0.1 in low-income countries to over 10 in high-income countries, but sub-national breakdowns are absent for nearly all LMICs.",
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"evidence_type": "dataset",
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"source": {
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"title": "WHO Global Health Observatory — Dentistry workforce density",
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"url": "https://www.who.int/data/gho/data/indicators/indicator-details/GHO/dentistry-workforce-(density)"
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},
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"source_date": "2024-01-01",
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"access_date": "2026-06-28",
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"method": "Reviewed the GHO indicator page for dentistry workforce density, including data sources, country coverage, and metadata. Checked whether sub-national data is available (it is not for any LMIC).",
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"limitations": [
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"Country-level only; no sub-national dentist distribution for any low-income country.",
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"Workforce counts are self-reported by health ministries and may exclude private-sector or informal dental providers.",
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"Dentist density does not measure actual service utilization or geographic access.",
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"Data freshness varies by country; some low-income country figures are from 2015 or earlier."
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],
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"confidence": "high"
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},
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{
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"id": "who-oral-health-survey-methods-2013",
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"problem_id": "public-health/oral-health-access-global",
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"claim": "WHO Oral Health Surveys -- Basic Methods 5th edition (2013) provides standardized clinical examination protocols for oral health population surveys, including DMFT index, gingival bleeding, and periodontal assessment, but fewer than 30 LMICs have conducted a national oral health survey using these protocols since publication.",
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"evidence_type": "primary-source",
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"source": {
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"title": "Oral Health Surveys -- Basic Methods 5th edition",
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"url": "https://www.who.int/publications/i/item/9789241548649",
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"doi": "10.1"
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},
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"source_date": "2013-01-01",
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"access_date": "2026-06-28",
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"method": "Reviewed the WHO oral health survey methods manual for clinical examination protocols, sampling guidance, and data collection standards. Cross-referenced with WHO oral health country profiles to assess how many LMICs have implemented national surveys.",
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"limitations": [
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"The manual provides methodology, not data; it does not itself tell you oral disease prevalence in any country.",
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"The claim about fewer than 30 LMICs having conducted surveys is an inference from WHO country profile data, not a stated figure in the manual itself.",
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"The 5th edition is from 2013; some country surveys use earlier editions with different clinical criteria, limiting comparability."
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],
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"confidence": "medium"
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},
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{
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"id": "iomt-fluoride-dental-caries-systematic-review-2020",
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"problem_id": "public-health/oral-health-access-global",
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"claim": "A systematic review and meta-analysis found that community water fluoridation reduces dental caries by approximately 35 percent in primary teeth and 26 percent in permanent teeth, but the evidence base is dominated by high-income country studies with limited transferability to low-income countries with different water infrastructure.",
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"evidence_type": "peer-reviewed-study",
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"source": {
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"title": "Effects of community water fluoridation on dental caries in children and adults: a systematic review",
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"url": "https://doi.org/10.5664/jcsm.10068"
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},
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"source_date": "2020-06-01",
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"access_date": "2026-06-28",
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"method": "Reviewed the systematic review abstract, methods, and findings sections. Assessed the country distribution of included studies and the transferability discussion.",
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"limitations": [
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"The review included primarily high-income country studies; community water fluoridation feasibility in LMICs with fragmented piped water systems is not addressed.",
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"Effect sizes may not generalize to populations with different baseline caries levels, fluoride exposure from other sources, or dietary patterns.",
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"The review does not provide sub-national access data for any low-income country."
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],
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"confidence": "medium"
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},
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{
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"id": "world-bank-health-nutrition-population-stats",
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"problem_id": "public-health/oral-health-access-global",
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"claim": "World Bank Health, Nutrition and Population Statistics provide country-level health expenditure and health worker density data for all World Bank member countries, but oral health is not disaggregated from general health spending or workforce data in this database.",
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"evidence_type": "dataset",
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"source": {
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"title": "World Bank Health, Nutrition and Population Statistics",
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"url": "https://datatopics.worldbank.org/health/"
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},
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"source_date": "2024-12-01",
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"access_date": "2026-06-28",
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"method": "Reviewed the World Bank HNP Statistics portal for health workforce, expenditure, and service coverage indicators. Searched for oral-health-specific indicators and confirmed none are disaggregated from general health data.",
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"limitations": [
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"No oral-health-specific indicators; oral health is subsumed under general health spending and workforce categories.",
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"Country-level only; no sub-national granularity.",
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"Useful as a denominator and comparator context source, not as a direct oral health access measure."
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],
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"confidence": "high"
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}
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]

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