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What you should know about this indicator

All reported data is adjusted for inflation using consumer price index (CPI) estimates from the International Monetary Fund (IMF). Any data entered by survey participants in their local currency is converted to USD based on the average annual exchange rate of the relevant financial year.. All figures are in constant 2024 US dollars.

Global research and development funding for trachoma
G-FINDER
The amount of funding for trachoma. This data is expressed in US dollars, adjusted for inflation.
Source
Impact Global Health (2025) – with major processing by Our World in Data
Last updated
June 25, 2026
Next expected update
June 2027
Date range
2007–2022
Unit
constant 2024 US$

Related research and writing

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Trachoma: how a common cause of blindness can be prevented worldwide

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Sources and processing

This data is based on the following sources

Impact Global Health – G-FINDER

The G-FINDER project tracks annual investment into R&D for new products and technologies to address priority global health challenges. This includes funding for basic research and the development of new drugs, vaccines, diagnostics and other tools for global health priorities that disproportionately affect people in low- and middle-income countries, such as neglected diseases, emerging infectious diseases, and sexual and reproductive health issues.

The basis of this project is an annual survey of the world's funders and developers of global health R&D. The G-FINDER survey and report series was founded and created by Policy Cures, and has been funded since its inception by the Bill & Melinda Gates Foundation.

The data collected in this survey has been used to create a unique repository of investment data, providing an unmatched resource for policy-makers, donors, researchers and industry. The database outlines the long-term landscape of funding for R&D for global health priority areas, including where funding gaps exist and how single investments fit into the global picture. This dataset covers the majority of neglected disease, emerging infectious disease, and sexual & reproductive health R&D funding is captured by G-FINDER, because large funders active in this area and target groups identified by our Advisory Committee are typically responsive and, where they are not, are prioritised during survey follow-up.

The dataset covers major funding for: Neglected Diseases: Bacterial pneumonia & meningitis, Buruli ulcer, Chagas disease, Cryptococcal meningitis, Dengue, Diarrhoeal diseases, Helminth infections (worms & flukes), Hepatitis B, Hepatitis C, Histoplasmosis, HIV/AIDS, Kinetoplastid diseases, Leprosy, Leptospirosis, Malaria, Mycetoma, Rheumatic fever, Salmonella infections, Scabies, Snakebite envenoming, Trachoma, Tuberculosis, Yaws. Emerging Infectious Diseases: Arenaviral haemorrhagic fevers (including Lassa fever), Bunyaviral diseases (including CCHF, RVF, SFTS), Chikungunya, Coronaviral diseases (including MERS, SARS, COVID-19), Emergent non-polio enteroviruses (including EV71, D68), Filoviral diseases (including Ebola, Marburg), Henipaviral diseases (including Nipah), Mpox (monkeypox), Zika. Sexual & Reproductive Health: Contraception, HIV/AIDS, HPV and HPV-related cervical cancer, Multi-purpose prevention technologies, Post-partum haemorrhage, Pre-eclampsia and eclampsia, Sexually transmitted infections.

Retrieved on
June 25, 2026
Retrieved from
https://gfinderdata.impactglobalhealth.org/pages/data-visualisations/allNeglectedDiseases
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Impact Global Health (2025), G-FINDER data portal, https://gfinderdata.impactglobalhealth.org, accessed 25 June 2026.

The G-FINDER project tracks annual investment into R&D for new products and technologies to address priority global health challenges. This includes funding for basic research and the development of new drugs, vaccines, diagnostics and other tools for global health priorities that disproportionately affect people in low- and middle-income countries, such as neglected diseases, emerging infectious diseases, and sexual and reproductive health issues.

The basis of this project is an annual survey of the world's funders and developers of global health R&D. The G-FINDER survey and report series was founded and created by Policy Cures, and has been funded since its inception by the Bill & Melinda Gates Foundation.

The data collected in this survey has been used to create a unique repository of investment data, providing an unmatched resource for policy-makers, donors, researchers and industry. The database outlines the long-term landscape of funding for R&D for global health priority areas, including where funding gaps exist and how single investments fit into the global picture. This dataset covers the majority of neglected disease, emerging infectious disease, and sexual & reproductive health R&D funding is captured by G-FINDER, because large funders active in this area and target groups identified by our Advisory Committee are typically responsive and, where they are not, are prioritised during survey follow-up.

The dataset covers major funding for: Neglected Diseases: Bacterial pneumonia & meningitis, Buruli ulcer, Chagas disease, Cryptococcal meningitis, Dengue, Diarrhoeal diseases, Helminth infections (worms & flukes), Hepatitis B, Hepatitis C, Histoplasmosis, HIV/AIDS, Kinetoplastid diseases, Leprosy, Leptospirosis, Malaria, Mycetoma, Rheumatic fever, Salmonella infections, Scabies, Snakebite envenoming, Trachoma, Tuberculosis, Yaws. Emerging Infectious Diseases: Arenaviral haemorrhagic fevers (including Lassa fever), Bunyaviral diseases (including CCHF, RVF, SFTS), Chikungunya, Coronaviral diseases (including MERS, SARS, COVID-19), Emergent non-polio enteroviruses (including EV71, D68), Filoviral diseases (including Ebola, Marburg), Henipaviral diseases (including Nipah), Mpox (monkeypox), Zika. Sexual & Reproductive Health: Contraception, HIV/AIDS, HPV and HPV-related cervical cancer, Multi-purpose prevention technologies, Post-partum haemorrhage, Pre-eclampsia and eclampsia, Sexually transmitted infections.

Retrieved on
June 25, 2026
Retrieved from
https://gfinderdata.impactglobalhealth.org/pages/data-visualisations/allNeglectedDiseases
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Impact Global Health (2025), G-FINDER data portal, https://gfinderdata.impactglobalhealth.org, accessed 25 June 2026.

How we process data at Our World in Data

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline
Notes on our processing step for this indicator
  • We aggregated the three malaria subtypes tracked separately by G-FINDER (P. vivax, P. falciparum, and Multiple/other malaria strains) into a single combined category.

Reuse this work

  • All data produced by third-party providers and made available by Our World in Data are subject to the license terms from the original providers. Our work would not be possible without the data providers we rely on, so we ask you to always cite them appropriately (see below). This is crucial to allow data providers to continue doing their work, enhancing, maintaining and updating valuable data.
  • All data, visualizations, and code produced by Our World in Data are completely open access under the Creative Commons BY license. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited.

Citations

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Global research and development funding for trachoma”, part of the following publication: Esteban Ortiz-Ospina and Max Roser (2016) - “Global Health”. Data adapted from Impact Global Health. Retrieved from https://archive.ourworldindata.org/20260702-121344/grapher/funding-for-trachoma.html [online resource] (archived on July 2, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

Impact Global Health (2025) – with major processing by Our World in Data

Full citation

Impact Global Health (2025) – with major processing by Our World in Data. “Global research and development funding for trachoma – G-FINDER” [dataset]. Impact Global Health, “G-FINDER” [original data]. Retrieved July 15, 2026 from https://archive.ourworldindata.org/20260702-121344/grapher/funding-for-trachoma.html (archived on July 2, 2026).

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Download the data shown in this chart as a ZIP file containing a CSV file, metadata in JSON format, and a README. The CSV file can be opened in Excel, Google Sheets, and other data analysis tools.

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Data API

Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.

Data URL (CSV format)
https://ourworldindata.org/grapher/funding-for-trachoma.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/funding-for-trachoma.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/funding-for-trachoma.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/funding-for-trachoma.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})

# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/funding-for-trachoma.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/funding-for-trachoma.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/funding-for-trachoma.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/funding-for-trachoma.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear