A tool by Firecrawl · uses 7 tools · Healthcare

Immunization dropout country priority list

Use when a global health program officer at a foundation or NGO decides where to fund routine immunization work. Ranks countries by the gap between first and third DTP doses and measles coverage from WHO, adjusts for health spending and income from the World Bank and mothers' schooling from UNESCO, and checks which countries already have large funded trials or programmes.

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Tools it calls

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

ToolPriceMedianSuccessEmpty

WHO Global Health ObservatoryIndicatorsPrice5 creditsMedian587 msSuccess100%Empty0%
WHO Global Health ObservatoryDataPrice5 creditsMedian754 msSuccess97.5%Empty10.3%
World Bank DataDataPrice5 creditsMedian291 msSuccess90.1%Empty7.7%
World Bank DataIndicatorsPrice5 creditsMedian168 msSuccess52.4%Empty63.6%
UNESCO UISIndicatorsPrice5 creditsMedian–Success–Empty–
UNESCO UISDataPrice5 creditsMedian–Success–Empty–
ClinicalTrials.govSearchPrice5 creditsMedian88 msSuccess100%Empty30.3%

Instructions

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# Immunization dropout country priority list

For a region or a shortlist of countries. Dropout (children who start but do not finish the series) points to fixable system gaps rather than access alone.

## 1. Coverage and dropout

1. Find indicator codes with @[WHO GHO · Indicators](alexandria:who-int/indicators/indicators) (query DTP1, DTP3, MCV1, MCV2).
2. Pull the latest years per country with @[WHO GHO · Data](alexandria:who-int/indicators/data) (indicator_code, spatial_dim_type COUNTRY, spatial_dims). Compute DTP1 minus DTP3 dropout and MCV1 minus MCV2.

## 2. System capacity

3. Pull current health expenditure per capita, GDP per capita and births with @[World Bank · Data](alexandria:data-worldbank-org/indicators/data) (indicator_ids found with @[World Bank · Indicators](alexandria:data-worldbank-org/indicators/indicators); country_codes).
4. Find a female education indicator with @[UNESCO UIS · Indicators](alexandria:databrowser-uis-unesco-org/statistics/indicators) (query female completion or literacy) and pull it with @[UNESCO UIS · Data](alexandria:databrowser-uis-unesco-org/statistics/data).

## 3. Who is already there

5. Search @[ClinicalTrials.gov · Search](alexandria:clinicaltrials-gov/clinical-trials/search) (condition immunization or vaccination coverage; location = country) to spot large implementation studies already running.

## Write the priority list

- **Ranked table:** country, DTP dropout, MCV dropout, year, health spend per capita, female education, existing studies.
- **Top five:** why each is tractable, using only cited figures.
- **Caveats:** WUENIC estimates are modelled, years differ by country.
- **Sources:** WHO and World Bank indicator codes with years, UIS codes, NCTs. Say what could not be found.

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