<b>Forecasting Optimal GO-NGO Mental Health Partnerships: A Dynamic, Multi-criteria Ordinal Game Theory Approach</b>

Cadogdog, John

DOI: 10.6084/m9.figshare.28902398.v1
Published: 2025
Container: Not recorded
Publisher: figshare
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.6084/m9.figshare.28902398.v1,
  title = {<b>Forecasting Optimal GO-NGO Mental Health Partnerships: A Dynamic, Multi-criteria Ordinal Game Theory Approach</b>},
  author = {Cadogdog, John},
  year = {2025},
  doi = {10.6084/m9.figshare.28902398.v1},
  url = {https://doi.org/10.6084/m9.figshare.28902398.v1}
}

RIS

TY  - JOUR
TI  - <b>Forecasting Optimal GO-NGO Mental Health Partnerships: A Dynamic, Multi-criteria Ordinal Game Theory Approach</b>
AU  - Cadogdog, John
PY  - 2025
DO  - 10.6084/m9.figshare.28902398.v1
UR  - https://doi.org/10.6084/m9.figshare.28902398.v1
ER  -

APA

John, C. (2025). <b>Forecasting Optimal GO-NGO Mental Health Partnerships: A Dynamic, Multi-criteria Ordinal Game Theory Approach</b>. https://doi.org/10.6084/m9.figshare.28902398.v1

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datacite · retrieved 2026-09-25T12:12:24.376Z