A tool by Firecrawl · uses 7 tools · Healthcare

Disease burden versus research attention gap

Use when a research funder, foundation programme officer or policy analyst wants to know which diseases get far less research money and trial activity than their burden suggests. Builds a cause list from the GBD hierarchy, joins WHO mortality, NIH grants, recruiting trials and publication counts, and ranks the most neglected causes.

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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

IHME GBD ResultsHierarchy pagePrice1 creditsMedian–Success–Empty–
IHME GBD ResultsHierarchy childrenPrice1 creditsMedian–Success–Empty–
WHO Global Health ObservatoryIndicatorsPrice5 creditsMedian587 msSuccess100%Empty0%
WHO Global Health ObservatoryDataPrice5 creditsMedian754 msSuccess97.5%Empty10.3%
NIH RePORTERSearch projectsPrice5 creditsMedian–Success–Empty–
ClinicalTrials.govSearchPrice5 creditsMedian88 msSuccess100%Empty30.3%
PubMed and PMCSearchPrice5 creditsMedian558 msSuccess99.2%Empty28.2%

Instructions

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# Disease burden versus research attention gap

For one cause group (for example neglected tropical diseases, mental disorders or cancers). The cause names fixed in step 1 are the join key for every later source.

## 1. Fix the cause list

1. Page the cause hierarchy with @[IHME GBD · Hierarchy page](alexandria:ihme-gbd-results/gbd/metadata) (type cause, gbd_round 2023), then list the children of your group with @[IHME GBD · Hierarchy children](alexandria:ihme-gbd-results/gbd/children). Keep 8 to 15 level-3 causes with their GBD names.

## 2. Burden

2. For each cause, look for a matching WHO indicator with @[WHO GHO · Indicator search](alexandria:who-int/indicators/indicators) (deaths, incidence or prevalence) and pull the latest global value with @[WHO GHO · Indicator data](alexandria:who-int/indicators/data) (spatial_dims GLOBAL). Where WHO has no series, mark burden as not available rather than estimating.

## 3. Attention

3. Count NIH money with @[NIH RePORTER · Search projects](alexandria:reporter-nih-gov/research-grants/search_projects) (text the cause name, last two fiscal years): number of projects and summed award amounts.
4. Count recruiting interventional trials with @[ClinicalTrials.gov · Trial search](alexandria:clinicaltrials-gov/clinical-trials/search) (condition the cause name, status RECRUITING).
5. Count papers from the last 24 months with @[PubMed · PubMed search](alexandria:pubmed-ncbi-nlm-nih-gov/publications/search) using the cause name as a MeSH-style query.

## Write the gap table

- **Table:** cause, WHO burden figure and year, NIH projects and dollars, recruiting trials, recent papers.
- **Ratios:** dollars and trials per unit of burden, ranked lowest first, only where both sides exist.
- **Most neglected:** the three causes with the widest gap and the grants or trials that do exist.
- **Sources:** cite every figure to the capability and record it came from. Say what could not be found rather than guessing.

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