Tracking funding disparities in global health aid with machine learning.

Stürenburg F, Forster K, Banholzer N, Toetzke M, Harttgen K, Feuerriegel S

DOI: 10.1038/s41467-026-76542-z
Published: 2026 Aug 18
Container: Nature communications
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41467-026-76542-z,
  title = {Tracking funding disparities in global health aid with machine learning.},
  author = {Stürenburg F and Forster K and Banholzer N and Toetzke M and Harttgen K and Feuerriegel S},
  year = {2026},
  journal = {Nature communications},
  doi = {10.1038/s41467-026-76542-z},
  url = {https://doi.org/10.1038/s41467-026-76542-z}
}

RIS

TY  - JOUR
TI  - Tracking funding disparities in global health aid with machine learning.
AU  - Stürenburg F
AU  - Forster K
AU  - Banholzer N
AU  - Toetzke M
AU  - Harttgen K
AU  - Feuerriegel S
PY  - 2026
JO  - Nature communications
DO  - 10.1038/s41467-026-76542-z
UR  - https://doi.org/10.1038/s41467-026-76542-z
ER  -

APA

F, S., K, F., N, B., M, T., K, H., & S, F. (2026). Tracking funding disparities in global health aid with machine learning.. Nature communications. https://doi.org/10.1038/s41467-026-76542-z

Source records

pubmed · retrieved 2026-09-26T16:20:22.346Z