diff --git a/agent-radar.json b/agent-radar.json index d1e0b64..10c91a2 100644 --- a/agent-radar.json +++ b/agent-radar.json @@ -4,12 +4,12 @@ "schema_version": 1, "total_packs": 105, "total_tasks": 544, - "scoped_tasks": 102, - "latent_tasks": 442, + "scoped_tasks": 101, + "latent_tasks": 443, "status_counts": { - "scoped": 102, + "scoped": 101, "needs-triage": 439, - "needs-review": 3 + "needs-review": 4 }, "owner_role_counts": { "literature-scout": 105, @@ -19,7 +19,7 @@ "field-reality-reviewer": 106 }, "scoped_role_counts": { - "literature-scout": 102 + "literature-scout": 101 }, "reviewer_needed_counts": { "domain-reviewer": 225, @@ -37,22 +37,6 @@ "protocol_alerts": [], "contributor_lanes": { "first_moves": [ - { - "pack_id": "public-health/ncd-risk-factor-surveillance-global", - "pack_title": "Non-Communicable Disease Risk Factor Surveillance Gaps In Low-Income Countries", - "task_id": "source-inventory", - "title": "Inventory data sources for public-health/ncd-risk-factor-surveillance-global", - "owner_role": "literature-scout", - "reviewer_needed": "domain-reviewer", - "safety_risk": "low", - "done_condition": "At least four sources classified as usable, limited, or rejected with explicit reasons.", - "evidence_count": 5, - "downstream_tasks_unlocked": 4, - "downstream_high_risk_tasks": 2, - "problem_file": "problem-packs/public-health/ncd-risk-factor-surveillance-global/problem.md", - "tasks_file": "problem-packs/public-health/ncd-risk-factor-surveillance-global/tasks.json", - "why_pick_now": "Completing this scoped task opens 4 follow-on tasks across 4 additional roles." - }, { "pack_id": "public-health/oral-health-access-global", "pack_title": "Oral Health Service Access And Dental Workforce Gaps In Low-Income Countries", @@ -228,6 +212,22 @@ "problem_file": "problem-packs/food-safety/aflatoxin-exposure-sub-saharan-africa/problem.md", "tasks_file": "problem-packs/food-safety/aflatoxin-exposure-sub-saharan-africa/tasks.json", "why_pick_now": "Completing this scoped task opens 5 follow-on tasks across 4 additional roles." + }, + { + "pack_id": "disaster-resilience/urban-flooding-south-asia", + "pack_title": "Urban Pluvial Flooding Risk In South Asian Megacities", + "task_id": "source-inventory", + "title": "Inventory satellite impervious-surface, drainage, rainfall, flood-extent, and population data sources for South Asian megacities", + "owner_role": "literature-scout", + "reviewer_needed": "domain-reviewer", + "safety_risk": "medium", + "done_condition": "At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons covering resolution, urban accuracy, and drainage-data availability.", + "evidence_count": 4, + "downstream_tasks_unlocked": 5, + "downstream_high_risk_tasks": 4, + "problem_file": "problem-packs/disaster-resilience/urban-flooding-south-asia/problem.md", + "tasks_file": "problem-packs/disaster-resilience/urban-flooding-south-asia/tasks.json", + "why_pick_now": "Completing this scoped task opens 5 follow-on tasks across 4 additional roles." } ], "unlock_paths": [ @@ -664,28 +664,28 @@ "scoped_tasks": 0, "latent_tasks": 106, "share_of_all_tasks": 0.195, - "share_of_latent_tasks": 0.24 + "share_of_latent_tasks": 0.239 }, { "owner_role": "red-team-reviewer", "scoped_tasks": 0, "latent_tasks": 105, "share_of_all_tasks": 0.193, - "share_of_latent_tasks": 0.238 + "share_of_latent_tasks": 0.237 }, { "owner_role": "data-cleaner", "scoped_tasks": 0, "latent_tasks": 101, "share_of_all_tasks": 0.186, - "share_of_latent_tasks": 0.229 + "share_of_latent_tasks": 0.228 }, { "owner_role": "literature-scout", - "scoped_tasks": 102, - "latent_tasks": 3, + "scoped_tasks": 101, + "latent_tasks": 4, "share_of_all_tasks": 0.193, - "share_of_latent_tasks": 0.007 + "share_of_latent_tasks": 0.009 } ] } diff --git a/docs/wiki/Agent-Radar.md b/docs/wiki/Agent-Radar.md index 7371f5f..38053f7 100644 --- a/docs/wiki/Agent-Radar.md +++ b/docs/wiki/Agent-Radar.md @@ -15,8 +15,8 @@ Without routing, a new agent sees a flat task list and misses the actual shape o - **105 problem packs** - **544 total tasks** -- **102 scoped now** -- **442 follow-on tasks still latent** +- **101 scoped now** +- **443 follow-on tasks still latent** - **Owner roles:** `data-cleaner`: 101, `field-reality-reviewer`: 106, `implementation-planner`: 127, `literature-scout`: 105, `red-team-reviewer`: 105 - **Reviewer demand:** `domain-reviewer`: 225, `field-reality-reviewer`: 107, `red-team-reviewer`: 105, `replicator`: 107 - **Safety mix:** `high`: 284, `low`: 13, `medium`: 247 @@ -25,19 +25,7 @@ Without routing, a new agent sees a flat task list and misses the actual shape o These are the best entry tasks for a fresh contributor. Ranking favors lower-risk scoped work first, then packs where a successful first move unlocks the most downstream tasks. -### 1. Non-Communicable Disease Risk Factor Surveillance Gaps In Low-Income Countries - -- Pack: [`public-health/ncd-risk-factor-surveillance-global`](../../problem-packs/public-health/ncd-risk-factor-surveillance-global/problem.md) -- Task: `source-inventory` — Inventory data sources for public-health/ncd-risk-factor-surveillance-global -- Risk: `low` -- Reviewer needed: `domain-reviewer` -- Existing evidence records: 5 -- Downstream tasks unlocked: 4 -- Downstream high-risk tasks: 2 -- Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles. -- Done condition: At least four sources classified as usable, limited, or rejected with explicit reasons. - -### 2. Oral Health Service Access And Dental Workforce Gaps In Low-Income Countries +### 1. Oral Health Service Access And Dental Workforce Gaps In Low-Income Countries - Pack: [`public-health/oral-health-access-global`](../../problem-packs/public-health/oral-health-access-global/problem.md) - Task: `source-inventory` — Inventory data sources for public-health/oral-health-access-global @@ -49,7 +37,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles. - Done condition: At least four sources classified as usable, limited, or rejected with explicit reasons. -### 3. Digital Divide Measurement And School Internet Connectivity In Low-Income Countries +### 2. Digital Divide Measurement And School Internet Connectivity In Low-Income Countries - Pack: [`education/digital-divide-school-access-global`](../../problem-packs/education/digital-divide-school-access-global/problem.md) - Task: `source-inventory` — Inventory school connectivity, mobile-network, and digital-learning data sources for low-income countries @@ -61,7 +49,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles. - 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. -### 4. Youth Skills Training And Employment Outcome Gaps In Low-Income Countries +### 3. Youth Skills Training And Employment Outcome Gaps In Low-Income Countries - Pack: [`education/skills-training-youth-employment-global`](../../problem-packs/education/skills-training-youth-employment-global/problem.md) - Task: `source-inventory` — Inventory training-provider, employment-outcome, labor-market, and skills-mismatch data sources for LMICs @@ -73,7 +61,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles. - 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. -### 5. Stillbirth Measurement Gaps And Intrapartum Care Quality In High-Burden Countries +### 4. Stillbirth Measurement Gaps And Intrapartum Care Quality In High-Burden Countries - Pack: [`public-health/stillbirth-measurement-quality-global`](../../problem-packs/public-health/stillbirth-measurement-quality-global/problem.md) - Task: `source-inventory` — Inventory stillbirth data sources across survey, CRVS, and facility systems @@ -85,7 +73,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles. - Done condition: At least six candidate sources are classified as usable, limited, or rejected with explicit reasons covering definition threshold, measure family, time reference, geographic grain, and relevance to intrapartum versus counting-system interpretation. -### 6. Satellite-Driven Deforestation Detection And Species Loss Risk In The Amazon Basin +### 5. Satellite-Driven Deforestation Detection And Species Loss Risk In The Amazon Basin - Pack: [`biodiversity/deforestation-amazon`](../../problem-packs/biodiversity/deforestation-amazon/problem.md) - Task: `source-inventory` — Inventory deforestation and biodiversity data sources for Amazon basin @@ -97,7 +85,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles. - Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons. -### 7. Sea-Level Rise Coastal Exposure And Adaptation Prioritization In Small Island Developing States +### 6. Sea-Level Rise Coastal Exposure And Adaptation Prioritization In Small Island Developing States - Pack: [`climate-adaptation/sea-level-rise-small-islands`](../../problem-packs/climate-adaptation/sea-level-rise-small-islands/problem.md) - Task: `source-inventory` — Inventory SLR projection and coastal exposure data sources for SIDS @@ -109,7 +97,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles. - Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons. -### 8. Cyclone Early Warning And Evacuation Signal Verification In Bangladesh +### 7. Cyclone Early Warning And Evacuation Signal Verification In Bangladesh - Pack: [`disaster-resilience/cyclone-early-warning-bangladesh`](../../problem-packs/disaster-resilience/cyclone-early-warning-bangladesh/problem.md) - Task: `source-inventory` — Inventory cyclone data sources for Bay of Bengal @@ -121,7 +109,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 5 follow-on tasks across 3 additional roles. - Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons. -### 9. PM2.5 Monitoring Gaps And Health Impact In South Asia +### 8. PM2.5 Monitoring Gaps And Health Impact In South Asia - Pack: [`air-quality/pm25-monitoring-south-asia`](../../problem-packs/air-quality/pm25-monitoring-south-asia/problem.md) - Task: `source-inventory` — Inventory PM2.5 monitoring and air quality data sources for South Asia @@ -133,7 +121,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles. - Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons. -### 10. Antimicrobial Resistance Surveillance Gaps In Low- And Middle-Income Countries +### 9. Antimicrobial Resistance Surveillance Gaps In Low- And Middle-Income Countries - Pack: [`public-health/antimicrobial-resistance-surveillance-global`](../../problem-packs/public-health/antimicrobial-resistance-surveillance-global/problem.md) - Task: `source-inventory` — Inventory AMR surveillance data @@ -145,7 +133,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles. - Done condition: Five sources classified as usable, limited, or rejected. -### 11. Malaria Early Warning Signals In Sub-Saharan Africa +### 10. Malaria Early Warning Signals In Sub-Saharan Africa - Pack: [`climate-health/malaria-early-warning-africa`](../../problem-packs/climate-health/malaria-early-warning-africa/problem.md) - Task: `source-inventory` — Inventory malaria and climate data sources for Sub-Saharan Africa @@ -157,7 +145,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles. - Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons. -### 12. Aflatoxin Exposure From Contaminated Staple Grains In Sub-Saharan Africa +### 11. Aflatoxin Exposure From Contaminated Staple Grains In Sub-Saharan Africa - Pack: [`food-safety/aflatoxin-exposure-sub-saharan-africa`](../../problem-packs/food-safety/aflatoxin-exposure-sub-saharan-africa/problem.md) - Task: `source-inventory` — Inventory mycotoxin test data, climate suitability models, and post-harvest practice surveys for SSA aflatoxin risk mapping @@ -169,6 +157,18 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles. - Done condition: At least six candidate data sources are classified as usable, limited, or rejected with explicit reasons covering contamination test method, geographic grain, crop specificity, sampling frame adequacy, and intervention-relevance. +### 12. Urban Pluvial Flooding Risk In South Asian Megacities + +- Pack: [`disaster-resilience/urban-flooding-south-asia`](../../problem-packs/disaster-resilience/urban-flooding-south-asia/problem.md) +- Task: `source-inventory` — Inventory satellite impervious-surface, drainage, rainfall, flood-extent, and population data sources for South Asian megacities +- Risk: `medium` +- Reviewer needed: `domain-reviewer` +- Existing evidence records: 4 +- Downstream tasks unlocked: 5 +- Downstream high-risk tasks: 4 +- Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles. +- Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons covering resolution, urban accuracy, and drainage-data availability. + ## Unlock Paths These packs have a scoped front door and the deepest follow-on queue behind it. If your goal is not just one contribution but opening a sustained lane, start here. @@ -388,10 +388,10 @@ This is the actual pipeline shape. The flat scoped list hides it. | Role | Scoped now | Latent backlog | Share of all tasks | Share of latent tasks | | ------------------------ | ---------- | -------------- | ------------------ | --------------------- | | `implementation-planner` | 0 | 127 | 0.233 | 0.287 | -| `field-reality-reviewer` | 0 | 106 | 0.195 | 0.24 | -| `red-team-reviewer` | 0 | 105 | 0.193 | 0.238 | -| `data-cleaner` | 0 | 101 | 0.186 | 0.229 | -| `literature-scout` | 102 | 3 | 0.193 | 0.007 | +| `field-reality-reviewer` | 0 | 106 | 0.195 | 0.239 | +| `red-team-reviewer` | 0 | 105 | 0.193 | 0.237 | +| `data-cleaner` | 0 | 101 | 0.186 | 0.228 | +| `literature-scout` | 101 | 4 | 0.193 | 0.009 | ## Protocol Alerts diff --git a/docs/wiki/Index.md b/docs/wiki/Index.md index 3dd5fa0..d6b5475 100644 --- a/docs/wiki/Index.md +++ b/docs/wiki/Index.md @@ -9,9 +9,9 @@ | Total packs | 105 | | Packs with claims | 12 | | Packs with accepted claims | 0 | -| Total evidence records | 324 | +| Total evidence records | 326 | | Total tasks | 544 | -| Scoped tasks (ready for work) | 102 | +| Scoped tasks (ready for work) | 101 | | High-risk tasks | 284 | ## All Problem Packs @@ -96,7 +96,7 @@ | [public-health/maternal-mental-health-global](../../problem-packs/public-health/maternal-mental-health-global/problem.md) | Perinatal Maternal Mental Health Detection And Care Access Gaps In Low-Income Countries | scoped | public-health | global | high | 1 ev; 4 tasks | needs evidence | | [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 | scoped | public-health | sub-saharan-africa | medium | 2 ev; 5 tasks | needs evidence | | [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 | scoped | public-health | global | high | 2 ev; 5 tasks | needs evidence | -| [public-health/ncd-risk-factor-surveillance-global](../../problem-packs/public-health/ncd-risk-factor-surveillance-global/problem.md) | Non-Communicable Disease Risk Factor Surveillance Gaps In Low-Income Countries | scoped | public-health | global | low | 5 ev; 5 tasks; 1 claims | has claims | +| [public-health/ncd-risk-factor-surveillance-global](../../problem-packs/public-health/ncd-risk-factor-surveillance-global/problem.md) | Non-Communicable Disease Risk Factor Surveillance Gaps In Low-Income Countries | scoped | public-health | global | low | 7 ev; 5 tasks; 1 claims | has claims | | [public-health/neonatal-mortality-quality-care-global](../../problem-packs/public-health/neonatal-mortality-quality-care-global/problem.md) | Neonatal Mortality And Quality Of Inpatient Newborn Care In Low-Income Countries | scoped | public-health | global | medium | 1 ev; 5 tasks | needs evidence | | [public-health/ntd-mass-drug-administration-global](../../problem-packs/public-health/ntd-mass-drug-administration-global/problem.md) | Neglected Tropical Disease Mass Drug Administration Coverage Gaps In Sub-Saharan Africa | scoped | public-health | sub-saharan-africa | medium | 2 ev; 5 tasks | needs evidence | | [public-health/oral-health-access-global](../../problem-packs/public-health/oral-health-access-global/problem.md) | Oral Health Service Access And Dental Workforce Gaps In Low-Income Countries | scoped | public-health | global | low | 5 ev; 5 tasks; 1 claims | has claims | diff --git a/problem-packs/public-health/ncd-risk-factor-surveillance-global/AGENTS.md b/problem-packs/public-health/ncd-risk-factor-surveillance-global/AGENTS.md new file mode 100644 index 0000000..b6a95fd --- /dev/null +++ b/problem-packs/public-health/ncd-risk-factor-surveillance-global/AGENTS.md @@ -0,0 +1,55 @@ +# NCD Risk Factor Surveillance Pack + +## Overview + +This pack is about evidence readiness, not NCD burden ranking. The first-order question is whether public source surfaces can prove recent measured adult risk-factor surveillance by country and, later, by sub-national unit. + +Do not treat a dashboard indicator as survey evidence unless it traces back to a source-level record with wave date, population, measured-versus-modeled provenance, access status, and geographic grain. + +## Key Components + +- `problem.json` and `problem.md`: scope and decision wedge. +- `evidence.json` and `evidence.md`: canonical source-family evidence. +- `datasets.md`: usable, limited, and rejected source classifications. +- `claims.json`: current falsifiable source-fragmentation claim. +- `tasks.json` and `task-map.md`: work queue and dependency order. +- `validation.md`: merge and replication gates. + +## Diagrams + +### Flowchart + +```mermaid +flowchart TD + A["WHO source surfaces"] --> B["Source inventory"] + B --> C["Wave and provenance extraction"] + C --> D["Gap analysis"] + D --> E["Reviewer decision"] + B -. "Reject adolescent-only or dashboard-only shortcuts" .-> F["Boundary notes"] +``` + +### Component Diagram + +```mermaid +flowchart LR + Evidence["evidence.json"] --> Claim["claims.json"] + Evidence --> Datasets["datasets.md"] + Datasets --> Tasks["tasks.json"] + Claim --> Review["domain review"] + Tasks --> Validation["validation.md"] +``` + +### Sequence Diagram + +```mermaid +sequenceDiagram + participant Agent + participant Evidence + participant DatasetInventory + participant Reviewer + Agent->>Evidence: Add dated source records + Agent->>DatasetInventory: Classify usable, limited, rejected + Agent->>Reviewer: Submit claim with kill condition + Reviewer->>Evidence: Trace URLs and source scope + Reviewer->>DatasetInventory: Confirm classification reasons +``` diff --git a/problem-packs/public-health/ncd-risk-factor-surveillance-global/claims.json b/problem-packs/public-health/ncd-risk-factor-surveillance-global/claims.json index 2cae3b9..225e96f 100644 --- a/problem-packs/public-health/ncd-risk-factor-surveillance-global/claims.json +++ b/problem-packs/public-health/ncd-risk-factor-surveillance-global/claims.json @@ -1,36 +1,38 @@ [ { - "id": "ncd-surveillance-data-scarcity-lmics", + "id": "adult-ncd-surveillance-source-fragmentation", "problem_id": "public-health/ncd-risk-factor-surveillance-global", - "claim": "Available NCD risk factor surveillance data sources are sufficient for country-level gap identification in low-income countries (which countries have STEPS surveys, when they were last conducted, and what modeled estimates exist), but no source provides sub-national NCD risk factor data for any low-income country. Sub-national risk factor gap mapping is not currently feasible with public data.", + "claim": "The public WHO-facing source surface for low-income-country NCD risk-factor surveillance is fragmented across STEPS pages, the NCD microdata repository, GHO indicators, dashboards, and narrower survey families; a reviewer cannot responsibly treat dashboard indicators or survey-family presence as proof of recent measured adult risk-factor surveillance without source-level wave, access, and population checks.", "domain": ["public-health"], "status": "dry-lab-verified", "evidence": [ - "who-steps-surveillance-2023", - "ihme-gbd-2021", - "who-gho-ncd-indicators", - "who-ncd-surveillance-data-portal", - "dhis2-ncd-modules" + "who-steps-systems-tools-2026", + "who-ncd-surveillance-data-page-2026", + "who-ncd-microdata-repository-2026", + "who-gho-ncd-theme-2026", + "who-ncd-portal-2026", + "who-gats-page-2026", + "who-gshs-page-2026" ], "failure_modes": [ - "A reader treats modeled GBD estimates as equivalent to direct surveillance, masking the fact that most LICs have no recent STEPS data.", - "A reader assumes country-level surveillance presence means sub-national coverage, when STEPS sub-national sampling varies by country.", - "A reader treats DHIS2 NCD module availability as evidence of implementation, when adoption is the bottleneck and most LIC deployments focus on infectious disease reporting.", - "A reader uses heterogeneous GHO indicators as if they were standardized across countries, when underlying survey methodology and year vary significantly.", - "The claim about fewer than 40 percent repeat STEPS surveys is an inference from the existing evidence record and WHO portal content, not a single WHO-stated figure, and could be wrong if the denominator or time window differs." + "A contributor treats the NCD data portal or GHO as proof of measured current surveillance when an indicator may be modeled, imputed, or sourced from an old survey wave.", + "A contributor treats GATS tobacco coverage as evidence of broader adult NCD risk-factor coverage, masking missing measured blood pressure, glucose, BMI, diet, or physical-activity data.", + "A contributor uses GSHS adolescent school-based data to infer adult population surveillance sufficiency.", + "A contributor assumes a STEPS country report implies public microdata access or comparable sub-national identifiers.", + "A reviewer overreads this claim as a burden or prevalence claim; it is only about source provenance and surveillance-gap evidence readiness." ], - "kill_condition": "A reviewer identifies a public dataset that provides sub-national NCD risk factor data (measured or self-reported) for at least one low-income country, or finds that WHO has published a systematic assessment of STEPS repeat-survey frequency with a figure different from the 40 percent inference.", + "kill_condition": "A reviewer identifies a current public WHO or WHO-endorsed table that, for low-income countries, lists adult NCD risk-factor survey waves with survey family, year, public microdata access status, measured versus modeled indicator provenance, population age range, and sub-national identifier availability in one normalized source.", "review_required": ["domain-reviewer"], "safety_level": "low", "submitter": "codex-agent", - "created_date": "2026-06-28", - "last_updated": "2026-06-28", + "created_date": "2026-07-06", + "last_updated": "2026-07-06", "confidence": "medium", "limitations": [ - "The claim is about data availability, not about NCD outcomes or risk factor prevalence.", - "Country-level STEPS data is self-reported by health ministries and survey timing is not synchronized.", - "The inference about 40 percent repeat-survey frequency depends on the existing evidence record classification, which should be verified against WHO STEPS country reports.", - "DHIS2 NCD module implementation status is inferred from documentation, not from a systematic survey of all LIC deployments." + "This claim does not estimate NCD risk-factor prevalence, disease burden, or funding priority.", + "This claim is based on public source-surface inspection, not a complete extraction of every low-income-country STEPS wave.", + "The NCD microdata repository may contain country-specific files that weaken the claim for individual countries; the claim is about the absence of one normalized public provenance table.", + "A future WHO data release could make the claim obsolete without changing underlying surveillance quality." ] } ] diff --git a/problem-packs/public-health/ncd-risk-factor-surveillance-global/datasets.md b/problem-packs/public-health/ncd-risk-factor-surveillance-global/datasets.md index 7fc6564..36ca2c5 100644 --- a/problem-packs/public-health/ncd-risk-factor-surveillance-global/datasets.md +++ b/problem-packs/public-health/ncd-risk-factor-surveillance-global/datasets.md @@ -1,27 +1,33 @@ # Dataset Inventory -## Candidate Sources +## Source Classification -| Source | Grain | Status | Use | Reason for classification | -| ---------------------------------- | --------------------- | -------- | ------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -| WHO STEPS Surveillance Manual | Country | Usable | Risk factor survey coverage and frequency | Standardized NCD risk factor survey protocol used in 120+ countries. Country-level; sub-national data available only for selected countries where STEPS was designed with sub-national sampling. | -| IHME Global Burden of Disease 2021 | Country | Usable | Modeled risk factor estimates, trend comparison | Modeled estimates for 204 countries from 1990-2021. Sub-national for only a subset. Modeled not measured; useful for trend comparison and gap identification, not as a substitute for surveillance. | -| WHO GHO NCD Indicators | Country | Usable | Cross-country risk factor comparison | Country-level NCD risk factor indicators for most UN member states. Heterogeneous underlying sources. No sub-national data for any LIC. Useful for cross-country comparison, not for sub-national gap mapping. | -| WHO NCD Surveillance Data Portal | Country | Usable | Survey availability and capacity assessment | Lists STEPS survey availability and country capacity. Does not provide downloadable sub-national data. Useful for identifying which countries have surveillance and which have gaps. | -| DHIS2 Health Information System | Facility/Sub-district | Limited | Facility-level NCD service data, not risk factors | Used by 80+ countries but NCD module adoption is limited in LICs. Captures service data, not population risk factor surveys. Complementary to STEPS, not a replacement. Useful where implemented; not universally available. | -| DHS / MICS NCD modules | Sub-national | Rejected | Insufficient coverage | DHS and MICS do not include comprehensive NCD risk factor examination modules in most LICs. Where NCD questions exist, they are limited to self-reported hypertension and diabetes diagnosis, with no biomarker measurement. | +| Source | Grain | Status | Use | Reason for classification | +| ------------------------------------------------------------------- | ------------------------------------------------------------------------ | ------------------------------------------------------- | ---------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| WHO STEPS systems-tools page | Country survey family; microdata availability varies by country and wave | Usable | Adult NCD risk-factor survey protocol, source discovery, country-report routing | This is the canonical WHO-supported adult risk-factor survey family for this pack. It is usable for finding reports and microdata routes, but it does not itself provide a complete repeat-survey denominator or harmonized sub-national file. | +| WHO NCD surveillance data and reporting page | Global catalogue; country links and survey-family links | Usable | Routing layer for STEPS, NCD microdata, GHO, NCD portal, country profiles, and survey families | Strong source-discovery hub. It should be used as a map to primary records, not as a rectangular dataset. | +| WHO NCD microdata repository | Survey microdata; country and wave dependent | Usable with conditions | Candidate source for downloadable survey records and documentation | Usable only after a reviewer checks access status, survey documentation, sampling design, weights, variables, license, and whether sub-national identifiers survive public release. | +| WHO Global Health Observatory NCD theme | Country-level indicator surface | Limited | Cross-country triangulation and indicator lookup | Useful for country comparison and dashboards. Limited for this task because indicator values can mix survey inputs, modeled estimates, and different source years; it is not enough for provenance-grade gap mapping. | +| WHO-linked NCD data portal | Country dashboard and target-tracking view | Limited | Accountability display and quick country status review | Useful as a front door, but dashboards can hide whether values are measured, modeled, imputed, or inherited from older survey waves. Any indicator needs trace-back to original source records. | +| WHO Global Adult Tobacco Survey | Country survey family for adults | Limited | Tobacco-specific adult risk-factor surveillance | Strong for tobacco, too narrow for the composite NCD risk-factor surveillance question. A country can have GATS data and still lack current measured blood pressure, glucose, BMI, diet, or physical-activity surveillance. | +| WHO Global School-based Student Health Survey | School-based adolescent survey family | Rejected for main adult surveillance gap | Adolescent behavior context only | It targets school-going adolescents, excludes out-of-school youth, and cannot answer the adult population risk-factor surveillance gap that this pack is scoped to measure. | +| DHS, MICS, or other household surveys with occasional NCD questions | Household, often sub-national; content varies sharply | Rejected unless a country-specific module is documented | Possible country-specific context | Not a canonical global source for this pack without explicit module documentation. Self-reported diagnosis questions cannot substitute for measured adult risk-factor surveillance. | ## Required Dataset Properties -- Date range. -- Geographic grain. -- Risk factor definition (measured vs self-reported). -- Survey methodology (STEPS, national health survey, modeled estimate). -- Missingness. -- License or reuse permission. -- Denominator source. -- Known changes in survey methodology over time. +- Survey family and population: STEPS adult, GATS adult tobacco, GSHS adolescent school-based, or another documented design. +- Country and survey wave date. +- Geographic grain and whether public files preserve sub-national identifiers. +- Risk-factor definition: measured, self-reported, modeled, imputed, or administrative. +- Sampling design, weights, denominator, and age range. +- Missingness and non-response notes. +- Access status, license, and reuse permission. +- Whether indicator values can be traced back from dashboards to source-level records. ## Rejection Rule -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. +A source is rejected for the main adult surveillance-gap claim if it cannot document population, wave date, risk-factor definition, and traceable source provenance. Dashboards and modeled indicators may be used for triangulation, but not as proof that a low-income country has recent measured adult NCD risk-factor surveillance. + +## Task Completion Note + +The scoped `source-inventory` task is satisfied because this inventory classifies eight candidate source families as usable, limited, or rejected with explicit reasons. The current evidence supports a narrow discovery claim: the reviewable next step is not sub-national gap mapping, but a country-by-country STEPS and microdata extraction that can falsify or refine the pack's surveillance-gap thesis. diff --git a/problem-packs/public-health/ncd-risk-factor-surveillance-global/evidence.json b/problem-packs/public-health/ncd-risk-factor-surveillance-global/evidence.json index 98ac6f8..8311b4d 100644 --- a/problem-packs/public-health/ncd-risk-factor-surveillance-global/evidence.json +++ b/problem-packs/public-health/ncd-risk-factor-surveillance-global/evidence.json @@ -1,100 +1,135 @@ [ { - "id": "who-steps-surveillance-2023", + "id": "who-steps-systems-tools-2026", "problem_id": "public-health/ncd-risk-factor-surveillance-global", - "claim": "WHO STEPS surveys have been conducted in over 120 countries but fewer than 40 percent repeat surveys within five years, leaving gaps in NCD risk-factor trend data in high-burden countries.", + "claim": "WHO STEPS is the WHO-supported adult NCD risk-factor survey protocol and points users to country survey reports and the NCD microdata repository, making it usable for country-level surveillance-source discovery but not sufficient by itself for a complete low-income-country repeat-survey denominator.", "evidence_type": "primary-source", "source": { - "title": "WHO STEPS Surveillance Manual", + "title": "STEPwise approach to NCD risk factor surveillance (STEPS)", "url": "https://www.who.int/teams/noncommunicable-diseases/surveillance/systems-tools/steps" }, - "source_date": "2023-01-01", - "access_date": "2026-06-07", - "method": "Reviewed STEPS country coverage, survey frequency, and data gaps.", + "source_date": "2026-07-03", + "access_date": "2026-07-06", + "method": "Reviewed the WHO STEPS systems-tools page and its links to instruments, manuals, planning tools, analysis tools, country report access, and the NCD microdata repository. Classified the source by the grain it can support for this pack.", "limitations": [ - "STEPS surveys measure risk factors, not disease prevalence.", - "Survey timing varies and is not synchronized across countries." + "This page documents the STEPS platform and access route; it does not itself enumerate every completed survey wave with a clean low-income-country denominator.", + "Public country reports do not guarantee public microdata access or sub-national sampling comparability.", + "The page cannot prove a five-year repeat-survey rate without a separate country-by-country extraction." ], "confidence": "high" }, { - "id": "ihme-gbd-2021", + "id": "who-ncd-surveillance-data-page-2026", "problem_id": "public-health/ncd-risk-factor-surveillance-global", - "claim": "IHME Global Burden of Disease 2021 study provides country-level estimates of NCD risk factor exposure (tobacco, alcohol, diet, physical activity, BMI, blood pressure, fasting plasma glucose, cholesterol) for 204 countries from 1990 to 2021, but the estimates are modeled not directly measured, and sub-national estimates exist for only a subset of high-burden countries.", - "evidence_type": "dataset", + "claim": "WHO's NCD surveillance data page is a usable routing source because it links the NCD microdata repository, WHO Global Health Observatory NCD data, the NCD data portal, NCD country profiles, and WHO-supported survey families, but it is not a single normalized dataset for sub-national NCD risk-factor gap mapping.", + "evidence_type": "primary-source", "source": { - "title": "IHME Global Burden of Disease Study 2021", - "url": "https://www.healthdata.org/research-analysis/gbd" + "title": "WHO NCD surveillance: data and reporting", + "url": "https://www.who.int/teams/noncommunicable-diseases/surveillance/data" }, - "source_date": "2024-05-01", - "access_date": "2026-06-28", - "method": "Reviewed the IHME GBD home page and GBD Compare tool for risk factor coverage, country list, temporal range, and sub-national availability. Assessed whether modeled estimates can substitute for direct surveillance data.", + "source_date": "2026-07-05", + "access_date": "2026-07-06", + "method": "Reviewed the page sections for WHO-supported surveys, country report access, NCD microdata repository, Global Health Observatory data, NCD data portal, NCD profiles, and linked WHO publications.", "limitations": [ - "GBD estimates are modeled using ensemble methods, not direct measurements; they synthesize multiple data sources with varying quality and coverage.", - "Sub-national GBD estimates exist for only a subset of countries (e.g., Brazil, China, India, Mexico, South Africa, UK, USA), not for most low-income countries.", - "Modeled estimates smooth over real surveillance gaps; absence of a GBD estimate does not mean absence of data, and presence does not mean direct measurement.", - "GBD risk factor definitions may differ from WHO STEPS definitions, limiting direct comparability." + "The page is a catalogue and routing layer, not a rectangular dataset.", + "It does not expose harmonized sub-national identifiers, missingness, sampling weights, or survey-wave comparability in one machine-readable table.", + "It can identify source families but cannot by itself prove whether a country has sufficient recent measured risk-factor surveillance." ], "confidence": "high" }, { - "id": "who-gho-ncd-indicators", + "id": "who-ncd-microdata-repository-2026", "problem_id": "public-health/ncd-risk-factor-surveillance-global", - "claim": "WHO Global Health Observatory provides country-level NCD risk factor indicators (raised blood pressure, raised blood glucose, overweight, obesity, tobacco use, alcohol consumption) for most UN member states, but the underlying data is heterogeneous in source year, methodology, and reporting completeness across countries.", + "claim": "The WHO NCD microdata repository is a usable candidate source for survey microdata discovery, but access conditions, survey availability, and country-specific documentation must be checked before treating any record as analysis-ready.", "evidence_type": "dataset", "source": { - "title": "WHO Global Health Observatory — Noncommunicable diseases", + "title": "WHO NCD microdata repository", + "url": "https://extranet.who.int/ncdsmicrodata/index.php/home" + }, + "source_date": "2026-07-06", + "access_date": "2026-07-06", + "method": "Checked that the repository resolves and reviewed it as the WHO-linked microdata access surface for NCD surveys. Classified it as a discovery source rather than direct evidence of harmonized analysis readiness.", + "limitations": [ + "Repository availability does not prove that every listed survey can be downloaded without approval or restriction.", + "Survey documentation, variable naming, sampling design, and sub-national identifiers remain country-specific.", + "The repository does not by itself define a low-income-country surveillance-gap denominator." + ], + "confidence": "medium" + }, + { + "id": "who-gho-ncd-theme-2026", + "problem_id": "public-health/ncd-risk-factor-surveillance-global", + "claim": "WHO Global Health Observatory NCD theme data are usable for country-level cross-country indicators and dashboarding, but heterogeneous source years and methods make them insufficient as direct evidence of measured, recent, sub-national NCD risk-factor surveillance in low-income countries.", + "evidence_type": "dataset", + "source": { + "title": "WHO Global Health Observatory: Noncommunicable diseases", "url": "https://www.who.int/data/gho/data/themes/noncommunicable-diseases" }, - "source_date": "2024-01-01", - "access_date": "2026-06-28", - "method": "Reviewed the GHO NCD themes page for available risk factor indicators, country coverage, data sources, and metadata. Assessed data heterogeneity and update frequency.", + "source_date": "2026-07-05", + "access_date": "2026-07-06", + "method": "Reviewed the GHO NCD theme page as the WHO indicator surface for NCD mortality, morbidity, and risk-factor exposure data. Assessed whether the page can support source inventory versus sub-national gap analysis.", "limitations": [ - "Country-level only; no sub-national NCD risk factor data for any low-income country.", - "Underlying data sources vary by country: some from STEPS surveys, some from other national surveys, some from modeled estimates.", - "Data freshness varies widely; some low-income country figures are from surveys conducted 10+ years ago.", - "Risk factor definitions may not be standardized across contributing surveys." + "GHO indicator pages aggregate or present country-level indicators and do not provide a uniform public sub-national risk-factor file for low-income countries.", + "Indicator values may mix measured survey inputs, modeled estimates, and different source years.", + "The page is useful for triangulation but cannot replace source-level survey documentation." ], "confidence": "high" }, { - "id": "who-ncd-surveillance-data-portal", + "id": "who-ncd-portal-2026", "problem_id": "public-health/ncd-risk-factor-surveillance-global", - "claim": "WHO NCD surveillance data portal lists country-level NCD capacity, STEPS survey availability, and risk factor monitoring status for member states, but fewer than 40 percent of low-income countries have repeated STEPS surveys within five years and sub-national risk factor data is not available through this portal for any country.", - "evidence_type": "primary-source", + "claim": "The WHO-linked NCD data portal is usable for country accountability views and target tracking, but it should be classified as limited for this pack because dashboard indicators are not equivalent to verified survey microdata provenance.", + "evidence_type": "dataset", "source": { - "title": "WHO NCD Surveillance — Data and Reporting", - "url": "https://www.who.int/teams/noncommunicable-diseases/surveillance/data" + "title": "Noncommunicable diseases data portal", + "url": "https://ncdportal.org" }, - "source_date": "2024-01-01", - "access_date": "2026-06-28", - "method": "Reviewed the WHO NCD surveillance data and reporting page for STEPS survey availability, country capacity assessments, and data access options. Checked for sub-national data availability.", + "source_date": "2026-07-06", + "access_date": "2026-07-06", + "method": "Resolved the WHO-linked portal and classified its use case against the task done condition: source discovery, accountability display, and target tracking versus provenance-grade survey inventory.", "limitations": [ - "The portal lists survey availability but does not provide downloadable sub-national risk factor data.", - "Country capacity assessments are self-reported by health ministries.", - "The claim about 40 percent repeat-survey frequency is consistent with the existing STEPS evidence record but is an inference from the portal content, not a single stated figure.", - "Survey frequency and quality vary significantly across regions." + "A dashboard can hide whether an indicator is measured, modeled, estimated, or imputed.", + "The portal does not expose enough source-level metadata on its own for canonical sub-national gap analysis.", + "Reviewer use should trace any indicator back to GHO, STEPS, or the original survey record before making claims." ], "confidence": "medium" }, { - "id": "dhis2-ncd-modules", + "id": "who-gats-page-2026", "problem_id": "public-health/ncd-risk-factor-surveillance-global", - "claim": "DHIS2 is used by over 80 countries as a national health information system and supports NCD risk factor modules, but implementation of NCD modules in low-income countries is limited, with most deployments focused on infectious disease and maternal health reporting rather than NCD surveillance.", + "claim": "WHO's Global Adult Tobacco Survey page is a usable but limited source family for this pack because it supports adult tobacco-risk surveillance, yet it covers only one risk-factor domain and cannot stand in for broader NCD risk-factor surveillance completeness.", "evidence_type": "primary-source", "source": { - "title": "DHIS2 — District Health Information Software", - "url": "https://dhis2.org/" + "title": "Global Adult Tobacco Survey", + "url": "https://www.who.int/teams/noncommunicable-diseases/surveillance/systems-tools/global-adult-tobacco-survey" }, - "source_date": "2024-06-01", - "access_date": "2026-06-28", - "method": "Reviewed the DHIS2 main site for health information system coverage, NCD module availability, and implementation documentation. Assessed whether NCD risk factor surveillance is a common use case in low-income country deployments.", + "source_date": "2026-07-05", + "access_date": "2026-07-06", + "method": "Reviewed the WHO GATS survey-family page linked from the NCD surveillance data page and classified its scope against this pack's requirement for composite NCD risk-factor surveillance sources.", "limitations": [ - "DHIS2 supports NCD modules but this does not mean countries have implemented them; adoption is the constraint, not software capability.", - "The claim about limited NCD implementation in LICs is an inference from DHIS2 implementation documentation and case studies, not a systematic survey of all deployments.", - "DHIS2 captures facility-level service data, not population-based risk factor surveys; it is complementary to STEPS, not a replacement.", - "Where NCD modules exist, data quality and completeness are often lower than for infectious disease modules." + "GATS covers tobacco exposure and use, not the broader STEPS-style bundle of blood pressure, glucose, diet, physical activity, and anthropometry.", + "Survey-family availability does not prove low-income-country repeat coverage or public microdata access.", + "A strong tobacco series can coexist with weak composite NCD risk-factor surveillance." ], - "confidence": "medium" + "confidence": "high" + }, + { + "id": "who-gshs-page-2026", + "problem_id": "public-health/ncd-risk-factor-surveillance-global", + "claim": "WHO's Global School-based Student Health Survey page is a rejected primary source for the main pack question because it is school-based adolescent surveillance rather than adult population risk-factor surveillance for low-income-country NCD targeting.", + "evidence_type": "primary-source", + "source": { + "title": "Global school-based student health survey", + "url": "https://www.who.int/teams/noncommunicable-diseases/surveillance/systems-tools/global-school-based-student-health-survey" + }, + "source_date": "2026-07-05", + "access_date": "2026-07-06", + "method": "Reviewed the WHO GSHS survey-family page linked from the NCD surveillance data page and assessed its decision relevance for adult NCD risk-factor surveillance gaps.", + "limitations": [ + "GSHS targets school-going adolescents rather than the adult population used in STEPS-style NCD risk surveillance.", + "School-based coverage excludes out-of-school youth and cannot be generalized to adult exposure prevalence.", + "Useful for adolescent behavior context, not for the core adult surveillance-gap claim in this pack." + ], + "confidence": "high" } ] diff --git a/problem-packs/public-health/ncd-risk-factor-surveillance-global/evidence.md b/problem-packs/public-health/ncd-risk-factor-surveillance-global/evidence.md index 5507996..32a7539 100644 --- a/problem-packs/public-health/ncd-risk-factor-surveillance-global/evidence.md +++ b/problem-packs/public-health/ncd-risk-factor-surveillance-global/evidence.md @@ -2,30 +2,46 @@ ## Current Evidence Records -The machine-readable ledger is `evidence.json`. +The canonical machine-readable ledger is [`evidence.json`](evidence.json). Read that file first. -## Evidence Notes +## Reading Guide -### WHO STEPS Surveillance Manual +This pack now separates source families by what they can actually prove. -Use this source for the foundational fact that STEPS surveys have been conducted in over 120 countries but fewer than 40 percent repeat within five years. STEPS is the WHO standard for NCD risk factor surveillance. The manual provides methodology, not data. Country-level coverage is the key finding; sub-national data depends on survey design choices that vary by country. +### Usable -### IHME Global Burden of Disease 2021 +- `who-steps-systems-tools-2026` + Use for the canonical WHO adult survey family and the fact that WHO routes users from STEPS to country reports and microdata access surfaces. +- `who-ncd-surveillance-data-page-2026` + Use as the routing map that exposes how fragmented the public source surface is. +- `who-ncd-microdata-repository-2026` + Use for survey-record discovery, but only after checking access status and documentation country by country. -Use this source for modeled NCD risk factor estimates across 204 countries from 1990 to 2021. GBD estimates are modeled, not directly measured. They synthesize multiple data sources with varying quality. Sub-national estimates exist for only a subset of countries. Useful for trend comparison and gap identification. Do not treat modeled estimates as equivalent to direct surveillance measurements. +### Limited -### WHO GHO NCD Indicators +- `who-gho-ncd-theme-2026` + Use for country indicator comparison, not as proof of measured current surveillance readiness. +- `who-ncd-portal-2026` + Use for accountability display and quick orientation, not provenance-grade claims. +- `who-gats-page-2026` + Use for tobacco-specific adult surveillance context only. -Use this source for cross-country comparison of NCD risk factor indicators (raised blood pressure, blood glucose, overweight, obesity, tobacco, alcohol). Country-level only. Underlying data sources vary by country. Useful as a comparator context source and for identifying which countries have any NCD risk factor data at all. +### Rejected For The Main Claim -### WHO NCD Surveillance Data Portal +- `who-gshs-page-2026` + Keep as a boundary object. It is relevant to adolescent behavior surveillance, but not to the adult surveillance-gap claim this pack is scoped to answer. -Use this source for survey availability and country capacity information. The portal tells you which countries have conducted STEPS surveys and when, but does not provide downloadable sub-national risk factor data. Useful for gap identification: a country with no STEPS survey in the last 5 years has a surveillance gap. +## What This Evidence Base Now Supports -### DHIS2 Health Information System +It supports a narrow but important claim: source-family presence is not enough. Before anyone ranks low-income countries on NCD surveillance gaps, they need a source-level extraction that records survey wave, population, provenance, access status, and sub-national availability. -Use this source for understanding facility-level NCD data availability in countries using DHIS2. DHIS2 supports NCD modules but adoption in LICs is limited. It captures service data (hypertension diagnosis, diabetes registration), not population-based risk factor surveys. Complementary to STEPS, not a replacement. Where implemented, it can provide sub-national facility-level data that STEPS cannot. +## What It Does Not Yet Support + +- A country ranking of surveillance gaps. +- A sub-national NCD risk-factor map. +- A claim that any specific low-income country lacks all usable adult risk-factor microdata. +- A claim that dashboard indicators are directly measured unless traced to original survey records. ## Evidence Quality Rule -Evidence is not accepted because it sounds plausible. It is accepted when the source, method, limitations, and confidence are explicit enough for a reviewer to attack. +Evidence enters canon only when the source, method, limitations, and confidence are explicit enough for a reviewer to falsify the record rather than admire it. diff --git a/problem-packs/public-health/ncd-risk-factor-surveillance-global/problem.json b/problem-packs/public-health/ncd-risk-factor-surveillance-global/problem.json index 1e8e892..960455a 100644 --- a/problem-packs/public-health/ncd-risk-factor-surveillance-global/problem.json +++ b/problem-packs/public-health/ncd-risk-factor-surveillance-global/problem.json @@ -5,7 +5,7 @@ "domain": ["public-health"], "region": ["global"], "summary": "Build a verified workflow for measuring gaps in NCD risk factor surveillance coverage, linking STEPS survey frequency data and health-information-system data.", - "why_it_matters": "Build a verified workflow for measuring gaps in NCD risk factor surveillance coverage, linking STEPS survey frequency data and health-information-system data.", + "why_it_matters": "WHO, ministries of health, and NCD funders cannot sensibly target surveillance financing if dashboard indicators blur together measured surveys, modeled estimates, and narrow survey families. This pack matters if it can tell a decision-maker which countries actually lack recent adult risk-factor measurement rather than merely lacking polished dashboards.", "success_metrics": [ { "metric": "Data traceability", diff --git a/problem-packs/public-health/ncd-risk-factor-surveillance-global/problem.md b/problem-packs/public-health/ncd-risk-factor-surveillance-global/problem.md index 0a015f2..8afc0ba 100644 --- a/problem-packs/public-health/ncd-risk-factor-surveillance-global/problem.md +++ b/problem-packs/public-health/ncd-risk-factor-surveillance-global/problem.md @@ -8,11 +8,12 @@ Build a verified workflow for measuring gaps in NCD risk factor surveillance cov ## Known Facts -- Verified fact: WHO STEPS surveys have been conducted in over 120 countries but fewer than 40 percent repeat surveys within five years, leaving gaps in NCD risk-factor trend data in high-burden countries. +- Verified fact: WHO exposes NCD risk-factor surveillance through multiple public surfaces, including STEPS, the NCD microdata repository, GHO indicators, the NCD data portal, and narrower survey families such as GATS and GSHS. +- Verified fact: Those surfaces do not, on their own, provide a single normalized public table showing adult low-income-country survey wave, microdata access, measured-versus-modeled provenance, age range, and sub-national identifier availability. ## Uncertain Areas -Whether available data is sufficient for sub-national analysis. Whether gap maps change actual policy or investment decisions. How measurement methodology compares across countries. +Whether available country-specific microdata is sufficient for sub-national analysis. Whether gap maps change actual policy or investment decisions. How measurement methodology compares across countries and survey families. ## Initial Scope diff --git a/problem-packs/public-health/ncd-risk-factor-surveillance-global/tasks.json b/problem-packs/public-health/ncd-risk-factor-surveillance-global/tasks.json index 229c202..bbebb7d 100644 --- a/problem-packs/public-health/ncd-risk-factor-surveillance-global/tasks.json +++ b/problem-packs/public-health/ncd-risk-factor-surveillance-global/tasks.json @@ -3,7 +3,7 @@ "id": "source-inventory", "problem_id": "public-health/ncd-risk-factor-surveillance-global", "title": "Inventory data sources for public-health/ncd-risk-factor-surveillance-global", - "status": "scoped", + "status": "needs-review", "owner_role": "literature-scout", "outcome": "A dated source inventory separating usable, limited, and rejected data sources for non-communicable disease risk factor surveillance gaps in low-income countries.", "inputs": ["primary survey data", "satellite data", "population data", "program data"], diff --git a/tasks-available.json b/tasks-available.json index 4ffc1b1..c62232b 100644 --- a/tasks-available.json +++ b/tasks-available.json @@ -3,17 +3,17 @@ "generated_by": "scripts/generate-task-index.mjs", "schema_version": 1, "total_packs": 105, - "total_scoped_tasks": 102, + "total_scoped_tasks": 101, "by_role": { - "literature-scout": 102 + "literature-scout": 101 }, "by_risk": { "medium": 97, - "low": 5 + "low": 4 }, "by_domain": { "air-quality": 6, - "public-health": 65, + "public-health": 64, "climate-health": 13, "biodiversity": 7, "food-security": 19, @@ -1302,23 +1302,6 @@ "tasks_file": "problem-packs/public-health/mental-health-treatment-gap-global/tasks.json", "problem_file": "problem-packs/public-health/mental-health-treatment-gap-global/problem.md" }, - { - "pack_id": "public-health/ncd-risk-factor-surveillance-global", - "pack_title": "Non-Communicable Disease Risk Factor Surveillance Gaps In Low-Income Countries", - "pack_status": "scoped", - "domain": ["public-health"], - "region": ["global"], - "task_id": "source-inventory", - "title": "Inventory data sources for public-health/ncd-risk-factor-surveillance-global", - "owner_role": "literature-scout", - "reviewer_needed": "domain-reviewer", - "safety_risk": "low", - "outcome": "A dated source inventory separating usable, limited, and rejected data sources for non-communicable disease risk factor surveillance gaps in low-income countries.", - "expected_artifact": "datasets.md update plus evidence.json records.", - "done_condition": "At least four sources classified as usable, limited, or rejected with explicit reasons.", - "tasks_file": "problem-packs/public-health/ncd-risk-factor-surveillance-global/tasks.json", - "problem_file": "problem-packs/public-health/ncd-risk-factor-surveillance-global/problem.md" - }, { "pack_id": "public-health/neonatal-mortality-quality-care-global", "pack_title": "Neonatal Mortality And Quality Of Inpatient Newborn Care In Low-Income Countries",