diff --git a/agent-radar.json b/agent-radar.json index 68af673..d1e0b64 100644 --- a/agent-radar.json +++ b/agent-radar.json @@ -4,12 +4,12 @@ "schema_version": 1, "total_packs": 105, "total_tasks": 544, - "scoped_tasks": 103, - "latent_tasks": 441, + "scoped_tasks": 102, + "latent_tasks": 442, "status_counts": { - "scoped": 103, + "scoped": 102, "needs-triage": 439, - "needs-review": 2 + "needs-review": 3 }, "owner_role_counts": { "literature-scout": 105, @@ -19,7 +19,7 @@ "field-reality-reviewer": 106 }, "scoped_role_counts": { - "literature-scout": 103 + "literature-scout": 102 }, "reviewer_needed_counts": { "domain-reviewer": 225, @@ -181,22 +181,6 @@ "tasks_file": "problem-packs/air-quality/pm25-monitoring-south-asia/tasks.json", "why_pick_now": "Completing this scoped task opens 5 follow-on tasks across 4 additional roles." }, - { - "pack_id": "occupational-health/heat-stress-outdoor-workers-global", - "pack_title": "Occupational Heat Stress And Worker Health In Outdoor Industries Under Climate Change", - "task_id": "source-inventory", - "title": "Inventory WBGT data sources, labor force distribution data, occupational health surveillance records, and heat-health epidemiology studies for LMICs", - "owner_role": "literature-scout", - "reviewer_needed": "domain-reviewer", - "safety_risk": "medium", - "done_condition": "At least six candidate data sources are classified as usable, limited, or rejected with explicit reasons covering exposure metric, geographic grain, temporal coverage, LMIC data availability, and worker-population representation including informal sector coverage.", - "evidence_count": 6, - "downstream_tasks_unlocked": 5, - "downstream_high_risk_tasks": 4, - "problem_file": "problem-packs/occupational-health/heat-stress-outdoor-workers-global/problem.md", - "tasks_file": "problem-packs/occupational-health/heat-stress-outdoor-workers-global/tasks.json", - "why_pick_now": "Completing this scoped task opens 5 follow-on tasks across 4 additional roles." - }, { "pack_id": "public-health/antimicrobial-resistance-surveillance-global", "pack_title": "Antimicrobial Resistance Surveillance Gaps In Low- And Middle-Income Countries", @@ -228,6 +212,22 @@ "problem_file": "problem-packs/climate-health/malaria-early-warning-africa/problem.md", "tasks_file": "problem-packs/climate-health/malaria-early-warning-africa/tasks.json", "why_pick_now": "Completing this scoped task opens 5 follow-on tasks across 4 additional roles." + }, + { + "pack_id": "food-safety/aflatoxin-exposure-sub-saharan-africa", + "pack_title": "Aflatoxin Exposure From Contaminated Staple Grains In Sub-Saharan Africa", + "task_id": "source-inventory", + "title": "Inventory mycotoxin test data, climate suitability models, and post-harvest practice surveys for SSA aflatoxin risk mapping", + "owner_role": "literature-scout", + "reviewer_needed": "domain-reviewer", + "safety_risk": "medium", + "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.", + "evidence_count": 5, + "downstream_tasks_unlocked": 5, + "downstream_high_risk_tasks": 4, + "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." } ], "unlock_paths": [ @@ -295,28 +295,6 @@ "problem_file": "problem-packs/biodiversity/deforestation-amazon/problem.md", "tasks_file": "problem-packs/biodiversity/deforestation-amazon/tasks.json" }, - { - "pack_id": "occupational-health/heat-stress-outdoor-workers-global", - "pack_title": "Occupational Heat Stress And Worker Health In Outdoor Industries Under Climate Change", - "scoped_tasks": 1, - "downstream_tasks": 5, - "downstream_high_risk_tasks": 4, - "downstream_by_role": { - "data-cleaner": 1, - "implementation-planner": 2, - "red-team-reviewer": 1, - "field-reality-reviewer": 1 - }, - "downstream_reviewers_needed": { - "replicator": 1, - "domain-reviewer": 2, - "red-team-reviewer": 1, - "field-reality-reviewer": 1 - }, - "evidence_count": 6, - "problem_file": "problem-packs/occupational-health/heat-stress-outdoor-workers-global/problem.md", - "tasks_file": "problem-packs/occupational-health/heat-stress-outdoor-workers-global/tasks.json" - }, { "pack_id": "public-health/antimicrobial-resistance-surveillance-global", "pack_title": "Antimicrobial Resistance Surveillance Gaps In Low- And Middle-Income Countries", @@ -492,6 +470,28 @@ "evidence_count": 2, "problem_file": "problem-packs/public-health/child-mortality-inequality-global/problem.md", "tasks_file": "problem-packs/public-health/child-mortality-inequality-global/tasks.json" + }, + { + "pack_id": "public-health/substandard-falsified-medicines-global", + "pack_title": "Substandard And Falsified Medicine Detection And Surveillance Gaps In Low- And Middle-Income Countries", + "scoped_tasks": 1, + "downstream_tasks": 5, + "downstream_high_risk_tasks": 3, + "downstream_by_role": { + "implementation-planner": 2, + "data-cleaner": 1, + "red-team-reviewer": 1, + "field-reality-reviewer": 1 + }, + "downstream_reviewers_needed": { + "domain-reviewer": 2, + "replicator": 1, + "red-team-reviewer": 1, + "field-reality-reviewer": 1 + }, + "evidence_count": 4, + "problem_file": "problem-packs/public-health/substandard-falsified-medicines-global/problem.md", + "tasks_file": "problem-packs/public-health/substandard-falsified-medicines-global/tasks.json" } ], "reviewer_hotspots": [ @@ -508,6 +508,19 @@ "downstream_tasks": 6, "problem_file": "problem-packs/food-security/fisheries-overexploitation-west-africa/problem.md" }, + { + "pack_id": "occupational-health/heat-stress-outdoor-workers-global", + "pack_title": "Occupational Heat Stress And Worker Health In Outdoor Industries Under Climate Change", + "downstream_reviewers_needed": { + "domain-reviewer": 3, + "replicator": 1, + "red-team-reviewer": 1, + "field-reality-reviewer": 1 + }, + "downstream_high_risk_tasks": 4, + "downstream_tasks": 6, + "problem_file": "problem-packs/occupational-health/heat-stress-outdoor-workers-global/problem.md" + }, { "pack_id": "public-health/birth-registration-access-global", "pack_title": "Birth Registration Coverage Gaps And Health-Service Linkage In Low-Income Countries", @@ -624,19 +637,6 @@ "downstream_tasks": 5, "problem_file": "problem-packs/food-security/locust-outbreak-east-africa/problem.md" }, - { - "pack_id": "occupational-health/heat-stress-outdoor-workers-global", - "pack_title": "Occupational Heat Stress And Worker Health In Outdoor Industries Under Climate Change", - "downstream_reviewers_needed": { - "replicator": 1, - "domain-reviewer": 2, - "red-team-reviewer": 1, - "field-reality-reviewer": 1 - }, - "downstream_high_risk_tasks": 4, - "downstream_tasks": 5, - "problem_file": "problem-packs/occupational-health/heat-stress-outdoor-workers-global/problem.md" - }, { "pack_id": "public-health/antimicrobial-resistance-surveillance-global", "pack_title": "Antimicrobial Resistance Surveillance Gaps In Low- And Middle-Income Countries", @@ -657,7 +657,7 @@ "scoped_tasks": 0, "latent_tasks": 127, "share_of_all_tasks": 0.233, - "share_of_latent_tasks": 0.288 + "share_of_latent_tasks": 0.287 }, { "owner_role": "field-reality-reviewer", @@ -682,10 +682,10 @@ }, { "owner_role": "literature-scout", - "scoped_tasks": 103, - "latent_tasks": 2, + "scoped_tasks": 102, + "latent_tasks": 3, "share_of_all_tasks": 0.193, - "share_of_latent_tasks": 0.005 + "share_of_latent_tasks": 0.007 } ] } diff --git a/docs/wiki/Agent-Radar.md b/docs/wiki/Agent-Radar.md index baf9bb0..7371f5f 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** -- **103 scoped now** -- **441 follow-on tasks still latent** +- **102 scoped now** +- **442 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 @@ -133,41 +133,41 @@ 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. Occupational Heat Stress And Worker Health In Outdoor Industries Under Climate Change +### 10. Antimicrobial Resistance Surveillance Gaps In Low- And Middle-Income Countries -- Pack: [`occupational-health/heat-stress-outdoor-workers-global`](../../problem-packs/occupational-health/heat-stress-outdoor-workers-global/problem.md) -- Task: `source-inventory` — Inventory WBGT data sources, labor force distribution data, occupational health surveillance records, and heat-health epidemiology studies for LMICs +- Pack: [`public-health/antimicrobial-resistance-surveillance-global`](../../problem-packs/public-health/antimicrobial-resistance-surveillance-global/problem.md) +- Task: `source-inventory` — Inventory AMR surveillance data - Risk: `medium` - Reviewer needed: `domain-reviewer` - Existing evidence records: 6 - 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 six candidate data sources are classified as usable, limited, or rejected with explicit reasons covering exposure metric, geographic grain, temporal coverage, LMIC data availability, and worker-population representation including informal sector coverage. +- Done condition: Five sources classified as usable, limited, or rejected. -### 11. Antimicrobial Resistance Surveillance Gaps In Low- And Middle-Income Countries +### 11. Malaria Early Warning Signals In Sub-Saharan Africa -- Pack: [`public-health/antimicrobial-resistance-surveillance-global`](../../problem-packs/public-health/antimicrobial-resistance-surveillance-global/problem.md) -- Task: `source-inventory` — Inventory AMR surveillance data +- 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 - Risk: `medium` - Reviewer needed: `domain-reviewer` -- Existing evidence records: 6 +- Existing evidence records: 5 - 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: Five sources classified as usable, limited, or rejected. +- Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons. -### 12. Malaria Early Warning Signals In Sub-Saharan Africa +### 12. Aflatoxin Exposure From Contaminated Staple Grains 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 +- 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 - Risk: `medium` - Reviewer needed: `domain-reviewer` - Existing evidence records: 5 - 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. +- 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. ## Unlock Paths @@ -203,16 +203,6 @@ These packs have a scoped front door and the deepest follow-on queue behind it. - Reviewer types needed later: `domain-reviewer`: 2, `field-reality-reviewer`: 1, `red-team-reviewer`: 1, `replicator`: 1 - Existing evidence records: 8 -### Occupational Heat Stress And Worker Health In Outdoor Industries Under Climate Change - -- Pack: [`occupational-health/heat-stress-outdoor-workers-global`](../../problem-packs/occupational-health/heat-stress-outdoor-workers-global/problem.md) -- Scoped tasks at front door: 1 -- Follow-on tasks behind it: 5 -- High-risk follow-on tasks: 4 -- Follow-on roles: `data-cleaner`: 1, `field-reality-reviewer`: 1, `implementation-planner`: 2, `red-team-reviewer`: 1 -- Reviewer types needed later: `domain-reviewer`: 2, `field-reality-reviewer`: 1, `red-team-reviewer`: 1, `replicator`: 1 -- Existing evidence records: 6 - ### 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) @@ -293,6 +283,16 @@ These packs have a scoped front door and the deepest follow-on queue behind it. - Reviewer types needed later: `domain-reviewer`: 2, `field-reality-reviewer`: 1, `red-team-reviewer`: 1, `replicator`: 1 - Existing evidence records: 2 +### Substandard And Falsified Medicine Detection And Surveillance Gaps In Low- And Middle-Income Countries + +- Pack: [`public-health/substandard-falsified-medicines-global`](../../problem-packs/public-health/substandard-falsified-medicines-global/problem.md) +- Scoped tasks at front door: 1 +- Follow-on tasks behind it: 5 +- High-risk follow-on tasks: 3 +- Follow-on roles: `data-cleaner`: 1, `field-reality-reviewer`: 1, `implementation-planner`: 2, `red-team-reviewer`: 1 +- Reviewer types needed later: `domain-reviewer`: 2, `field-reality-reviewer`: 1, `red-team-reviewer`: 1, `replicator`: 1 +- Existing evidence records: 4 + ## Reviewer Hotspots These are the packs most likely to stall after the first scoped task because reviewer load becomes the bottleneck. @@ -304,6 +304,13 @@ These are the packs most likely to stall after the first scoped task because rev - High-risk follow-on tasks: 4 - Reviewer load: `domain-reviewer`: 3, `field-reality-reviewer`: 1, `red-team-reviewer`: 1, `replicator`: 1 +### Occupational Heat Stress And Worker Health In Outdoor Industries Under Climate Change + +- Pack: [`occupational-health/heat-stress-outdoor-workers-global`](../../problem-packs/occupational-health/heat-stress-outdoor-workers-global/problem.md) +- Follow-on tasks: 6 +- High-risk follow-on tasks: 4 +- Reviewer load: `domain-reviewer`: 3, `field-reality-reviewer`: 1, `red-team-reviewer`: 1, `replicator`: 1 + ### Birth Registration Coverage Gaps And Health-Service Linkage In Low-Income Countries - Pack: [`public-health/birth-registration-access-global`](../../problem-packs/public-health/birth-registration-access-global/problem.md) @@ -367,13 +374,6 @@ These are the packs most likely to stall after the first scoped task because rev - High-risk follow-on tasks: 4 - Reviewer load: `domain-reviewer`: 1, `field-reality-reviewer`: 1, `red-team-reviewer`: 1, `replicator`: 2 -### Occupational Heat Stress And Worker Health In Outdoor Industries Under Climate Change - -- Pack: [`occupational-health/heat-stress-outdoor-workers-global`](../../problem-packs/occupational-health/heat-stress-outdoor-workers-global/problem.md) -- Follow-on tasks: 5 -- High-risk follow-on tasks: 4 -- Reviewer load: `domain-reviewer`: 2, `field-reality-reviewer`: 1, `red-team-reviewer`: 1, `replicator`: 1 - ### 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) @@ -387,11 +387,11 @@ 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 | 0.288 | +| `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` | 103 | 2 | 0.193 | 0.005 | +| `literature-scout` | 102 | 3 | 0.193 | 0.007 | ## Protocol Alerts diff --git a/docs/wiki/Index.md b/docs/wiki/Index.md index 8a8734d..3dd5fa0 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 | 320 | +| Total evidence records | 324 | | Total tasks | 544 | -| Scoped tasks (ready for work) | 103 | +| Scoped tasks (ready for work) | 102 | | High-risk tasks | 284 | ## All Problem Packs @@ -67,7 +67,7 @@ | [food-security/livestock-disease-surveillance-east-africa](../../problem-packs/food-security/livestock-disease-surveillance-east-africa/problem.md) | Livestock Disease Surveillance And Pastoralist Livelihood Risk In East Africa | scoped | food-security, public-health | east-africa | medium | 2 ev; 6 tasks | needs evidence | | [food-security/locust-outbreak-east-africa](../../problem-packs/food-security/locust-outbreak-east-africa/problem.md) | Desert Locust Outbreak Early Warning In East Africa | scoped | food-security, climate-health | east-africa | medium | 3 ev; 6 tasks | ready | | [food-security/urban-food-deserts-global](../../problem-packs/food-security/urban-food-deserts-global/problem.md) | Urban Food Desert Mapping And Fresh-Food Access Gaps In LMIC Cities | scoped | food-security, public-health | global | medium | 1 ev; 5 tasks | needs evidence | -| [occupational-health/heat-stress-outdoor-workers-global](../../problem-packs/occupational-health/heat-stress-outdoor-workers-global/problem.md) | Occupational Heat Stress And Worker Health In Outdoor Industries Under Climate Change | scoped | occupational-health, climate-health, public-health | global | high | 6 ev; 6 tasks; 1 claims | has claims | +| [occupational-health/heat-stress-outdoor-workers-global](../../problem-packs/occupational-health/heat-stress-outdoor-workers-global/problem.md) | Occupational Heat Stress And Worker Health In Outdoor Industries Under Climate Change | scoped | occupational-health, climate-health, public-health | global | high | 10 ev; 6 tasks; 1 claims | has claims | | [public-health/alcohol-harm-reduction-global](../../problem-packs/public-health/alcohol-harm-reduction-global/problem.md) | Alcohol Harm Reduction Policy Gaps And Heavy Episodic Drinking In Low- And Middle-Income Countries | scoped | public-health | global | medium | 1 ev; 4 tasks | needs evidence | | [public-health/anemia-women-adolescents-global](../../problem-packs/public-health/anemia-women-adolescents-global/problem.md) | Anemia Prevalence And Iron Supplementation Coverage In Women And Adolescents | scoped | public-health, food-security | global | medium | 6 ev; 5 tasks | ready | | [public-health/antimicrobial-resistance-surveillance-global](../../problem-packs/public-health/antimicrobial-resistance-surveillance-global/problem.md) | Antimicrobial Resistance Surveillance Gaps In Low- And Middle-Income Countries | scoped | public-health | global | medium | 6 ev; 6 tasks; 1 claims | has claims | diff --git a/problem-packs/occupational-health/heat-stress-outdoor-workers-global/claims.json b/problem-packs/occupational-health/heat-stress-outdoor-workers-global/claims.json index 6902235..7969d8f 100644 --- a/problem-packs/occupational-health/heat-stress-outdoor-workers-global/claims.json +++ b/problem-packs/occupational-health/heat-stress-outdoor-workers-global/claims.json @@ -2,7 +2,7 @@ { "id": "occupational-heat-surveillance-data-sufficiency", "problem_id": "occupational-health/heat-stress-outdoor-workers-global", - "claim": "Available public data sources are sufficient for global and regional framing of occupational heat stress (ILO 2024 exposure estimates, Xu et al. 2021 meta-analysis) and for modeled WBGT exposure derivation from climate reanalysis (ERA5), but no public dataset provides sub-national occupational heat exposure linked to health outcomes at the granularity needed to identify which districts in LMICs carry the highest worker heat burden relative to surveillance coverage. The WHO/ILO UV radiation joint estimate demonstrates that global attribution of climate-linked occupational hazards is methodologically feasible, but no equivalent has been published for heat stress specifically. The sub-national exposure-outcome gap cannot be mapped with currently available public data alone, particularly because informal sector workers, who constitute the majority of the outdoor workforce in most LMICs, are invisible to occupational health surveillance systems.", + "claim": "Available public data sources are sufficient for global and regional framing of occupational heat stress (ILO 2024 exposure estimates, Xu et al. 2021 meta-analysis, Lancet Countdown 2024 work-hour loss) and for modeled WBGT exposure derivation from climate reanalysis (ERA5 at 0.25-degree hourly, MERRA-2 as cross-check), and for national-level worker population denominators by industry (ILOSTAT), but no public dataset provides sub-national occupational heat exposure linked to health outcomes at the granularity needed to identify which districts in LMICs carry the highest worker heat burden relative to surveillance coverage. ILOSTAT provides national industry breakdowns with partial informal sector coverage, ERA5 provides the gridded climate input for WBGT derivation, and the Lancet Countdown provides aggregate annual framing, but the three cannot be combined without sub-national labor force distributions that do not exist publicly for most LMICs. The WHO/ILO UV radiation joint estimate demonstrates that global attribution of climate-linked occupational hazards is methodologically feasible, but no equivalent has been published for heat stress specifically. The sub-national exposure-outcome gap cannot be mapped with currently available public data alone, particularly because informal sector workers, who constitute the majority of the outdoor workforce in most LMICs, are invisible to occupational health surveillance systems.", "domain": ["occupational-health", "climate-health", "public-health"], "status": "unverified", "evidence": [ @@ -11,7 +11,11 @@ "who-ilo-uv-occupational-2024", "iso-7243-wbgt-standard-2017", "dunne-labor-capacity-2013", - "ilo-climate-labor-statistics-2024" + "ilo-climate-labor-statistics-2024", + "era5-climate-reanalysis-wbgt-source", + "merra2-climate-reanalysis-wbgt-source", + "ilostat-employment-industry-global", + "lancet-countdown-heat-labor-2024" ], "failure_modes": [ "A reader treats the ILO global exposure estimate as a direct measurement of workplace heat exposure rather than a modeled estimate from climate-labor overlap.", @@ -19,21 +23,26 @@ "A policy maker uses the exposure framing to justify employer-level heat standards without addressing informal sector workers who fall outside employer-employee regulatory frameworks.", "A reader treats the Dunne et al. 2050 labor capacity projection as a current estimate of productivity loss rather than a future scenario under high emissions.", "A reader interprets the absence of sub-national surveillance data as evidence that occupational heat stress is not a significant problem in specific LMIC districts.", - "An employer uses exposure-outcome maps to argue that heat injuries are worker behavior problems rather than workplace condition problems, deflecting responsibility for rest breaks and hydration provision." + "An employer uses exposure-outcome maps to argue that heat injuries are worker behavior problems rather than workplace condition problems, deflecting responsibility for rest breaks and hydration provision.", + "A reader treats ERA5 WBGT derived values as equivalent to workplace heat measurements without accounting for local shading, ventilation, clothing, and actual work schedules.", + "A reader merges ILOSTAT national industry breakdowns with ERA5 grid cells without documenting the spatial interpolation method and its uncertainty, producing apparently precise sub-national exposure estimates that are actually modeled extrapolations.", + "A reader treats the Lancet Countdown 490 billion work-hour loss figure as a direct measurement rather than a modeled order of magnitude sensitive to threshold assumptions." ], "kill_condition": "A reviewer identifies a public dataset providing sub-national occupational heat exposure linked to health outcomes for at least 10 LMICs with consistent methodology, industry breakdown, and informal sector coverage, or finds that ILO or national labor ministries have begun systematic sub-national occupational heat surveillance covering districts in at least 20 LMICs with worker population denominators that include the informal sector.", "review_required": ["domain-reviewer", "red-team-reviewer"], "safety_level": "high", "submitter": "codex-agent", "created_date": "2026-06-30", - "last_updated": "2026-06-30", + "last_updated": "2026-07-03", "confidence": "medium", "limitations": [ "The claim is about public data availability for sub-national occupational heat exposure-outcome analysis, not about actual heat exposure or injury rates in specific countries.", "The assessment of 'no public dataset provides sub-national exposure-outcome data' is an inference from reviewing available data portals and published literature, not a systematic survey of all national occupational health databases.", "Some countries may have occupational injury surveillance systems that include heat-related cases but are not publicly accessible or not in English; these were not reviewed.", "The ILO report may contain more granular country-level data than the public summary suggests; this claim is based on the publicly accessible version.", - "Informal sector coverage gaps are inferred from ILOSTAT documentation and published labor market analyses, not from a systematic audit of every LMIC labor survey." + "Informal sector coverage gaps are inferred from ILOSTAT documentation and published labor market analyses, not from a systematic audit of every LMIC labor survey.", + "ERA5 and MERRA-2 provide gridded climate inputs but require WBGT derivation formulas whose accuracy varies by climate zone, terrain, and land use context; this claim assumes standard formulas but does not validate specific formula choice.", + "The claim that the three data layers (ERA5 climate, ILOSTAT worker populations, Lancet framing) cannot be combined without sub-national labor distributions is based on public data inspection; a national government may hold sub-national labor data that is not publicly accessible." ] } ] diff --git a/problem-packs/occupational-health/heat-stress-outdoor-workers-global/datasets.md b/problem-packs/occupational-health/heat-stress-outdoor-workers-global/datasets.md index e3555a3..13873aa 100644 --- a/problem-packs/occupational-health/heat-stress-outdoor-workers-global/datasets.md +++ b/problem-packs/occupational-health/heat-stress-outdoor-workers-global/datasets.md @@ -2,16 +2,38 @@ ## Candidate Sources -| Source | Grain | Current status | Use | -| ----------------------------------- | -------------------------------------- | ------------------------------- | ---------------------------------------------------------- | -| ILO climate-labor report (2024) | Global / country income group | Usable for framing | Exposure scale, DALY estimates, LMIC-vs-HIC gap | -| ILOSTAT employment-by-industry | National / some sub-national | Usable with coverage caveat | Worker population denominators by industry and sex | -| ERA5 reanalysis (ECMWF) | 0.25-degree grid, hourly, 1940-present | Usable for WBGT derivation | Gridded temperature, humidity, radiation for WBGT calc | -| ISO 7243:2017 WBGT standard | International standard | Usable as threshold framework | Work-rest regime thresholds by metabolic rate | -| Xu et al. 2021 meta-analysis | Multi-country pooled | Usable as effect-size reference | Heat-injury dose-response with heterogeneity documentation | -| Dunne et al. 2013 labor capacity | Regional / global grid | Usable as projection context | Future labor capacity loss under climate scenarios | -| National labor force surveys (LMIC) | National, some sub-national | Limited — informal sector gaps | Worker population by industry, employment status | -| Occupational injury registries | National, variable coverage | Limited — most LMICs absent | Heat-related injury counts where surveillance exists | +### Exposure Data (Climate) + +| Source | Grain | Temporal Coverage | LMIC Availability | Classification | Reason | +| ----------------------------- | --------------------------- | ----------------- | ----------------------------------------------------------- | ------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| ERA5 reanalysis (ECMWF) | 0.25-degree grid, hourly | 1940-present | Global grid, freely accessible via Copernicus CDS | Usable for WBGT derivation | Hourly 2m temperature, dewpoint, and radiation at 0.25 degrees permit WBGT calculation using empirical formulas. Does not capture workplace-level exposure variation. Requires registration and preprocessing. | +| MERRA-2 (NASA GMAO) | 0.5 x 0.625 degrees, hourly | 1980-present | Global grid, freely accessible via NASA EOSDIS | Usable with coarser resolution caveat | Coarser than ERA5 and radiation schemes differ; useful as cross-check but not preferred for sub-national LMIC detail. Requires HDF/netCDF preprocessing. | +| National weather station data | Variable by station | Variable | Sparse in most LMICs; many stations inactive or non-digital | Limited | Station data could validate reanalysis WBGT but coverage is too sparse and inconsistent for most LMIC sub-national mapping without major digitization effort. | + +### Worker Population Data + +| Source | Grain | Temporal Coverage | LMIC Availability | Classification | Reason | +| ----------------------------------- | --------------------------- | ----------------------- | ---------------------------------------------------------------------------------------- | ----------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | +| ILOSTAT employment-by-industry | National; some sub-national | Annual, 1991-present | Most ILO member states covered; informal sector partial | Usable with coverage caveat | Provides sector-level employment (ISIC 4-digit) and status-in-employment but predominantly at national grain. Informal employment indicators compiled for only a subset of LMICs. Cannot anchor district-level exposure without sub-national labor survey overlay. | +| National labor force surveys (LMIC) | National, some sub-national | Varies by country round | Exists for most countries but quality, recency, and informal sector coverage vary widely | Limited | Sub-national industry breakdowns are rare and informal sector workers are undercounted. Useful where available for specific countries but not a global solution for district-level worker population denominators. | +| ILO modelled estimates | National | Annual, 2000-present | 189 countries | Limited (modeled, not directly collected) | National-level modeled estimates fill gaps but cannot substitute for sub-national survey data. Modeled informal sector shares are especially uncertain. | + +### Health Outcome Data + +| Source | Grain | Temporal Coverage | LMIC Availability | Classification | Reason | +| -------------------------------------------------- | ---------------------------- | ------------------------- | --------------------------------------------------------------------- | ----------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| Lancet Countdown 2024 heat-labor indicators | Global, country-group by HDI | Annual, 2000-2023 | Country-level for selected countries; HDI-group aggregates for others | Usable for framing only | Provides modeled annual potential work-hour loss (490B hours in 2023) but not sub-national district or industry-specific data. Useful for scale and trend framing only. | +| ILO occupational injury and death estimates (2024) | Global, country income group | Modeled annual estimates | Global with underreporting adjustment for LMICs | Usable for framing only | Modeled from climate-labor overlap and relative risks, not from direct surveillance. Sectoral breakdown depends on ILOSTAT which has incomplete LMIC coverage. | +| Xu et al. 2021 meta-analysis | Multi-country pooled | Varies by included study | LMIC studies sparse in the pooled sample | Usable as effect-size reference with transferability caveat | Pooled OR 1.21 (95 percent CI 1.11-1.32) dominated by high-income country evidence. Effect size should not be generalized to LMIC tropical work settings without noting heterogeneity and transferability gaps. | +| Occupational injury registries | National, variable coverage | Variable where they exist | Most LMICs have no systematic occupational injury surveillance | Rejected for burden estimation | Cannot produce reliable heat-related injury counts in most LMICs because heat is not a reportable condition and surveillance systems are absent or non-functional. Retained as evidence of surveillance gaps, not as a data source for exposure-outcome mapping. | + +### Standards and Frameworks + +| Source | Grain | Temporal Coverage | LMIC Availability | Classification | Reason | +| ------------------------------------------ | ---------------------- | ------------------------------ | ---------------------------------------------------------------- | --------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| ISO 7243:2017 WBGT standard | International standard | Published 2017 | Standard available for purchase globally; not context-specific | Usable as threshold framework with acclimatization caveat | Provides WBGT reference values for work-rest regimes by metabolic rate and clothing. Paywalled beyond abstract. Reference values derived from temperate-climate laboratory studies; applicability to chronically heat-exposed tropical workers is debated. | +| WHO/ILO UV radiation joint estimate (2024) | Global modeled | Cross-sectional | Methodological precedent for LMIC-attributable burden estimation | Usable as methodological precedent only | Covers UV radiation, not heat stress. Demonstrates that global attribution of climate-linked occupational hazards is feasible. Not a data source for heat exposure-outcome mapping. | +| Dunne et al. 2013 labor capacity model | Regional / global grid | Projected to 2050 under RCP8.5 | Global with regional breakdown | Usable as projection context only | Modeled future labor capacity loss under high-emission scenario. Not a current estimate and does not account for adaptation. 20 percent is a regional maximum, not a global average. | ## Required Dataset Properties @@ -25,6 +47,17 @@ - Missingness patterns and representation of peak heat season. - License or reuse permission. +## Informal Sector Coverage Assessment + +Informal sector workers constitute the majority of the outdoor workforce in most LMICs (60-80 percent in many South Asian and Sub-Saharan African economies, per ILOSTAT documentation). Current data infrastructure cannot anchor a sub-national exposure-outcome map that includes informal workers because: + +1. ILOSTAT informal employment indicators are modeled and available for only a subset of LMICs. +2. National labor force surveys rarely break employment by industry and informal status at sub-national grain. +3. Occupational injury surveillance systems, where they exist, cover formal sector workers with employer reporting obligations and miss own-account, unpaid family, and casual day labor workers. +4. Climate-labor exposure models (ILO, Lancet Countdown) use national workforce composition, not sub-national informal sector distributions. + +This means any sub-national exposure-outcome artifact built from currently available public data would systematically underrepresent the most heat-exposed worker populations in LMICs. + ## Rejection Rule A data source is rejected for sub-national exposure-outcome mapping if exposure metric, temporal coverage, worker population denominator, or geographic grain cannot be verified. National-level labor force statistics without industry or sub-national breakdown may be listed as context but cannot anchor a district-level exposure estimate. Occupational injury data from countries without systematic surveillance is rejected as a burden estimate, though it may be retained as evidence of surveillance gaps. diff --git a/problem-packs/occupational-health/heat-stress-outdoor-workers-global/evidence.json b/problem-packs/occupational-health/heat-stress-outdoor-workers-global/evidence.json index c79f4c1..5b80a7e 100644 --- a/problem-packs/occupational-health/heat-stress-outdoor-workers-global/evidence.json +++ b/problem-packs/occupational-health/heat-stress-outdoor-workers-global/evidence.json @@ -123,5 +123,93 @@ "The estimates do not separate acute heat injury from chronic heat-related illness, which have different surveillance requirements." ], "confidence": "medium" + }, + { + "id": "era5-climate-reanalysis-wbgt-source", + "problem_id": "occupational-health/heat-stress-outdoor-workers-global", + "claim": "ERA5, the ECMWF fifth-generation atmospheric reanalysis, provides hourly estimates of temperature, humidity, and radiation at 0.25-degree global grid resolution from 1940 onward, and is used as a gridded input for WBGT derivation in occupational heat exposure studies, but it is not in itself a worker exposure dataset until combined with labor force spatial distributions and metabolic rate assumptions.", + "evidence_type": "dataset", + "source": { + "title": "ERA5 hourly data on single levels from 1940 to present", + "url": "https://doi.org/10.24381/cds.adbb2d47", + "doi": "10.24381/cds.adbb2d47", + "archive_url": "https://web.archive.org/web/2024/https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels" + }, + "source_date": "2024-01-01", + "access_date": "2026-07-03", + "method": "Reviewed Copernicus Climate Data Store metadata for ERA5 single-levels: spatial resolution (0.25-degree), hourly temporal resolution, variables available for WBGT derivation (2m temperature, 2m dewpoint temperature, surface net shortwave and longwave radiation), documentation on data assimilation, and publication references to WBGT derivation workflows.", + "limitations": [ + "ERA5 is an atmospheric reanalysis, not a workplace heat monitor; it does not capture local shading, ventilation, acclimatization, clothing, or work intensity.", + "0.25-degree cells, roughly 28 km at the equator, mask sub-grid variation in elevation, land use, and urban heat islands that matter for worker exposure.", + "Hourly output means peak heat exposure during day is inferable, but actual work timing and rest schedules are not part of the dataset.", + "WBGT must be derived from ERA5 variables using empirical formulas; different formulas can produce different threshold crossings.", + "Labor force data at sub-national grain needed to overlay worker populations onto ERA5 grid cells are not part of ERA5." + ], + "confidence": "high" + }, + { + "id": "merra2-climate-reanalysis-wbgt-source", + "problem_id": "occupational-health/heat-stress-outdoor-workers-global", + "claim": "MERRA-2, NASA's Modern-Era Retrospective analysis for Research and Applications version 2, provides global reanalysis data at 0.5-degree latitude by 0.625-degree longitude with hourly output from 1980 onward and is also used to derive WBGT and heat exposure metrics for occupational and health research.", + "evidence_type": "dataset", + "source": { + "title": "MERRA-2: Modern-Era Retrospective analysis for Research and Applications, version 2", + "url": "https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/", + "archive_url": "https://web.archive.org/web/2024/https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/" + }, + "source_date": "2015-01-01", + "access_date": "2026-07-03", + "method": "Reviewed NASA GMAO MERRA-2 documentation for spatial resolution (0.5 x 0.625 degrees), temporal resolution (hourly), temporal coverage (1980-present), available variables for WBGT derivation, aerosol reanalysis improvements, and NASA EOSDIS data access pathways.", + "limitations": [ + "MERRA-2 has coarser horizontal resolution than ERA5 (0.5 x 0.625 degrees versus 0.25 degrees), so it captures less local detail in mountainous or coastal work settings.", + "It is a reanalysis product, not a worker exposure record, and requires WBGT derivation plus labor-force overlay to assess occupational heat stress.", + "Aerosol corrections and radiation schemes may differ by region; cross-referencing with local station data is needed before using derived WBGT for operational local decisions.", + "Data access requires registration and the output format (HDF/netCDF) needs preprocessing for occupational health applications." + ], + "confidence": "high" + }, + { + "id": "ilostat-employment-industry-global", + "problem_id": "occupational-health/heat-stress-outdoor-workers-global", + "claim": "ILOSTAT provides employment-by-industry and employment-status estimates (formal/informal distinction where available) for most ILO member states and some sub-national units, but coverage of informal employment is incomplete and geographic detail below national level is limited or modeled rather than directly collected.", + "evidence_type": "dataset", + "source": { + "title": "ILOSTAT database on employment and industrial composition by sex and economic activity", + "url": "https://ilostat.ilo.org/data/", + "archive_url": "https://web.archive.org/web/2024/https://ilostat.ilo.org/data/" + }, + "source_date": "2024-01-01", + "access_date": "2026-07-03", + "method": "Reviewed ILOSTAT bulk download and browse interfaces for employment by economic activity (ISIC 4-digit), status in employment (employee, employer, own-account, contributing family worker), informal employment indicators where compiled, geographic coverage by country, and documentation of modeling methods and revisions.", + "limitations": [ + "ILOSTAT employment-by-industry data are predominantly national; sub-national breakdowns are available for only a minority of countries.", + "Informal employment estimates depend on national labor force survey sophistication and are incomplete for many LMICs; sector-level informal work counts are especially scarce.", + "Industry classification (ISIC) may be inconsistently applied across countries, limiting comparability of agriculture, construction, and mining worker counts.", + "Labor force surveys often exclude certain groups (unpaid family workers, seasonal migrants, refugees), which can bias outdoor worker population estimates.", + "ILOSTAT does not directly link worker locations to climate grid cells, so exposure-outcome mapping still requires a spatial overlay with reanalysis data." + ], + "confidence": "high" + }, + { + "id": "lancet-countdown-heat-labor-2024", + "problem_id": "occupational-health/heat-stress-outdoor-workers-global", + "claim": "The 2024 Lancet Countdown report found that heat-related labor loss reached a record 490 billion potential work hours globally in 2023, with low HDI countries experiencing the highest exposure and that exposure is projected to worsen; this provides an aggregate annual framing metric but not sub-national, industry-specific work-hour loss data for individual LMICs.", + "evidence_type": "primary-source", + "source": { + "title": "Lancet Countdown 2024: The 2024 report of the Lancet Countdown on health and climate change", + "url": "https://lancetcountdown.org/2024-report/", + "archive_url": "https://web.archive.org/web/2024/https://lancetcountdown.org/2024-report/" + }, + "source_date": "2024-10-29", + "access_date": "2026-07-03", + "method": "Reviewed Lancet Countdown 2024 indicator briefs and methods appendix for heat-related labor loss estimates, data sources (ERA5/MERRA-2, WBGT derivation), global potential work-hour loss figures, country-group comparisons by HDI, and stated limitations on sectoral and geographic attribution.", + "limitations": [ + "Labor-loss estimates are global aggregate outputs from WBGT-population models, not direct measurements of worker downtime or injury.", + "Results are reported by HDI group or selected countries, not by sub-national district or province, so they cannot pinpoint high-burden LMIC regions.", + "The model assumes standard work intensity and does not capture local adaptations such as work-time shifting, rest breaks, or local norms of siesta.", + "Agriculture and construction are the dominant sectors modeled, but informal and part-time outdoor work is difficult to estimate accurately.", + "The 490 billion hour figure is sensitive to threshold assumptions (WBGT, work intensity) and is best treated as a modeled order of magnitude rather than a precise accounting metric." + ], + "confidence": "high" } ] diff --git a/problem-packs/occupational-health/heat-stress-outdoor-workers-global/evidence.md b/problem-packs/occupational-health/heat-stress-outdoor-workers-global/evidence.md index 8d5bc60..30961cd 100644 --- a/problem-packs/occupational-health/heat-stress-outdoor-workers-global/evidence.md +++ b/problem-packs/occupational-health/heat-stress-outdoor-workers-global/evidence.md @@ -30,6 +30,22 @@ Use this source for projected labor capacity loss under climate change scenarios Use this source for the estimated annual occupational injuries (26.2 million) and deaths (18,970) attributable to excessive heat. These are modeled estimates with underreporting adjustment, not direct surveillance counts. Do not use them as country-specific injury rates without checking the underlying methodology. +### ERA5 Reanalysis (ECMWF) + +Use this source for gridded climate data to derive WBGT exposure estimates at 0.25-degree, hourly resolution from 1940 onward. ERA5 is the preferred reanalysis for sub-national WBGT derivation because it is the highest-resolution global product available. Do not treat ERA5 as a worker exposure dataset without overlaying labor force spatial distributions and work-schedule assumptions. Do not assume WBGT values from ERA5 variables without documenting which empirical formula was used, because different formulas can produce different threshold crossings near the ISO 7243 boundaries. + +### MERRA-2 Reanalysis (NASA GMAO) + +Use this source as a cross-check reanalysis for WBGT derivation where ERA5 gaps or version differences need verification. MERRA-2 is coarser (0.5 x 0.625 degrees) than ERA5 and should not be the primary reanalysis for sub-national LMIC mapping. Do not assume MERRA-2 radiation and humidity schemes produce identical WBGT to ERA5; cross-referencing with local station data is needed before operational local decisions. + +### ILOSTAT Employment-by-Industry + +Use this source for national-level worker population denominators by industry (ISIC 4-digit) and status in employment. Sub-national breakdowns exist for only a minority of countries. Informal employment indicators are modeled and incomplete for many LMICs. Do not treat ILOSTAT as a sub-national worker distribution dataset without a spatial overlay with local survey or census data. Do not merge ILOSTAT sector estimates with climate grid cells without documenting the spatial interpolation method and its uncertainty. + +### Lancet Countdown 2024 Heat-Labor Report + +Use this source for the annual framing metric of global heat-related labor loss (490 billion potential work hours in 2023) and for trend comparison across HDI groups. Do not treat the work-hour figure as a direct measurement of worker downtime or income loss. Do not use HDI-group aggregates as sub-national district-level estimates; the model assumes standard work intensity and does not capture local adaptation through scheduling, rest breaks, or acclimatization protocols. + ## 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. Heat exposure estimates must specify the metric (WBGT, ambient temperature, heat index), the data source (station, reanalysis grid, satellite), and the time period. Health outcome estimates must specify the population, industry, surveillance or study method, and geographic coverage. diff --git a/problem-packs/occupational-health/heat-stress-outdoor-workers-global/tasks.json b/problem-packs/occupational-health/heat-stress-outdoor-workers-global/tasks.json index e2e682e..3980c5f 100644 --- a/problem-packs/occupational-health/heat-stress-outdoor-workers-global/tasks.json +++ b/problem-packs/occupational-health/heat-stress-outdoor-workers-global/tasks.json @@ -3,7 +3,7 @@ "id": "source-inventory", "problem_id": "occupational-health/heat-stress-outdoor-workers-global", "title": "Inventory WBGT data sources, labor force distribution data, occupational health surveillance records, and heat-health epidemiology studies for LMICs", - "status": "scoped", + "status": "needs-review", "owner_role": "literature-scout", "outcome": "A dated source inventory that separates WBGT and heat exposure data products (reanalysis, station, satellite-derived), labor force and employment-by-industry data (ILOSTAT, national labor surveys), occupational health surveillance data (injury registries, workers compensation), and heat-health epidemiology studies into usable, limited, and rejected categories with explicit LMIC coverage assessment.", "inputs": [ diff --git a/scripts/source-check-allowlist.json b/scripts/source-check-allowlist.json index 90c8a39..16bbea5 100644 --- a/scripts/source-check-allowlist.json +++ b/scripts/source-check-allowlist.json @@ -33,7 +33,7 @@ }, { "url": "https://dhsprogram.com/publications/publication-FR374-DHS-Final-Reports.cfm", - "reason": "DHS Program NFHS-5 final report page; curl returns 200 but Node.js fetch fails — likely User-Agent blocking for automated requests.", + "reason": "DHS Program NFHS-5 final report page; curl returns 200 but Node.js fetch fails \u2014 likely User-Agent blocking for automated requests.", "verified": "2026-06-18" }, { @@ -120,6 +120,11 @@ "url": "https://www.climatecentre.org/our-work/forecast-based-financing", "reason": "Climate Centre page; live in browser but connection times out from CI runners.", "verified": "2026-06-30" + }, + { + "url": "https://doi.org/10.24381/cds.adbb2d47", + "reason": "ERA5 reanalysis DOI (Copernicus CDS); live in browser but CDS API blocks automated HEAD/GET (405), causing timeout.", + "verified": "2026-07-03" } ] } diff --git a/tasks-available.json b/tasks-available.json index c72a7b2..4ffc1b1 100644 --- a/tasks-available.json +++ b/tasks-available.json @@ -3,18 +3,18 @@ "generated_by": "scripts/generate-task-index.mjs", "schema_version": 1, "total_packs": 105, - "total_scoped_tasks": 103, + "total_scoped_tasks": 102, "by_role": { - "literature-scout": 103 + "literature-scout": 102 }, "by_risk": { - "medium": 98, + "medium": 97, "low": 5 }, "by_domain": { "air-quality": 6, - "public-health": 66, - "climate-health": 14, + "public-health": 65, + "climate-health": 13, "biodiversity": 7, "food-security": 19, "climate-adaptation": 11, @@ -22,7 +22,6 @@ "education": 9, "energy-access": 6, "food-safety": 1, - "occupational-health": 1, "sanitation": 4, "water-security": 6 } @@ -844,23 +843,6 @@ "tasks_file": "problem-packs/food-security/urban-food-deserts-global/tasks.json", "problem_file": "problem-packs/food-security/urban-food-deserts-global/problem.md" }, - { - "pack_id": "occupational-health/heat-stress-outdoor-workers-global", - "pack_title": "Occupational Heat Stress And Worker Health In Outdoor Industries Under Climate Change", - "pack_status": "scoped", - "domain": ["occupational-health", "climate-health", "public-health"], - "region": ["global"], - "task_id": "source-inventory", - "title": "Inventory WBGT data sources, labor force distribution data, occupational health surveillance records, and heat-health epidemiology studies for LMICs", - "owner_role": "literature-scout", - "reviewer_needed": "domain-reviewer", - "safety_risk": "medium", - "outcome": "A dated source inventory that separates WBGT and heat exposure data products (reanalysis, station, satellite-derived), labor force and employment-by-industry data (ILOSTAT, national labor surveys), occupational health surveillance data (injury registries, workers compensation), and heat-health epidemiology studies into usable, limited, and rejected categories with explicit LMIC coverage assessment.", - "expected_artifact": "datasets.md update plus evidence.json records for each accepted source.", - "done_condition": "At least six candidate data sources are classified as usable, limited, or rejected with explicit reasons covering exposure metric, geographic grain, temporal coverage, LMIC data availability, and worker-population representation including informal sector coverage.", - "tasks_file": "problem-packs/occupational-health/heat-stress-outdoor-workers-global/tasks.json", - "problem_file": "problem-packs/occupational-health/heat-stress-outdoor-workers-global/problem.md" - }, { "pack_id": "public-health/alcohol-harm-reduction-global", "pack_title": "Alcohol Harm Reduction Policy Gaps And Heavy Episodic Drinking In Low- And Middle-Income Countries",