Iron fortification gap scan

Tools it calls

Each tool's price and track record across every agent today. Empty means the call worked and found nothing.

# Iron fortification gap scan

For a set of countries and the staple foods people there eat most. Need comes from anaemia data; vehicle choice comes from what the staple already contains.

## 1. Where need is

1. Find anaemia indicators with @[WHO GHO · Indicators](alexandria:who-int/indicators/indicators) (query anaemia women reproductive age, anaemia children).
2. Pull the latest values with @[WHO GHO · Data](alexandria:who-int/indicators/data) (spatial_dims ISO3). Rank countries.

## 2. What staples carry now

3. Rank foods by iron with @[USDA FoodData Central · Search foods by nutrient](alexandria:fdc-nal-usda-gov/foods/search_foods_by_nutrient) (nutrient_id for iron from @[USDA FoodData Central · List nutrients](alexandria:fdc-nal-usda-gov/foods/list_nutrients)) and read staples such as wheat flour, maize flour and rice with @[USDA FoodData Central · Get food](alexandria:fdc-nal-usda-gov/foods/get_food), comparing fortified and unfortified entries.
4. Cross-check with @[AFCD · Foods by nutrient](alexandria:afcd-foodstandards-gov-au/foods/foods_by_nutrient) (nutrient_id FE) and @[Canadian Nutrient File · Search foods by nutrient](alexandria:food-nutrition-canada-ca/foods/search_foods_by_nutrient). Differences between fortified and plain entries show how much iron fortification adds.

## 3. Evidence

5. Search @[PubMed · Search](alexandria:pubmed-ncbi-nlm-nih-gov/publications/search) (iron fortification plus vehicle plus anaemia, randomized or systematic review) and read with @[PubMed · Article](alexandria:pubmed-ncbi-nlm-nih-gov/publications/article) for effect and iron compound used.

## Write the shortlist

- **Country table:** anaemia prevalence by group and year.
- **Vehicle table:** staple, iron per 100 g plain versus fortified, by database.
- **Evidence:** vehicle, compound, effect, PMID.
- **Recommendation:** top vehicles per country with reasons from cited data.
- **Sources:** WHO codes, fdc_ids, AFCD and CNF codes, PMIDs. Say that national consumption data is not in these sources and what could not be found.

• Vaping policy impact snapshotby Firecrawl · uses 9 toolsUse when a tobacco control policy analyst at a health department or charity assesses vaping regulation for a briefing. Compares tobacco use prevalence across countries from WHO, tracks public search interest in vaping…
• Mosquito-borne disease season outlookby Firecrawl · uses 8 toolsUse when a state or county epidemiologist plans vector surveillance and messaging for the coming dengue or West Nile season. Compares recent temperature and rainfall with climate normals, checks rising public symptom…+1
• Measles resurgence early warningby Firecrawl · uses 6 toolsUse when a public-health analyst, NGO programme lead or travel-health team needs to know where measles is likely to come back next. Finds countries whose MCV1 and MCV2 coverage has slipped, checks whether search…
• Urgent care site demand and drive-time checkby Firecrawl · uses 8 toolsUse when an ambulatory network planner or urgent care development lead tests a proposed clinic address. Measures resident demand from Census data, counts competing urgent care and primary care nearby, checks drive time…
• Referral specialist vettingby Firecrawl · uses 10 toolsUse when a practice manager or care coordinator is deciding whether to add a specialist to a referral list. Checks the NPI record, state license status and discipline, Medicare procedure volume, patient review trend…+3
• Network adequacy gap check for a countyby Firecrawl · uses 7 toolsUse when a health plan network development manager must prove a county meets time-and-distance standards before a filing. Lists registered specialists and facilities near members, measures drive times from population…