A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries
M. Tavana, K. Govindan, A.K. Nasr, M.S. Heidary, H. Mina, Annals of Operations Research (2021).
Download
No fulltext has been uploaded.
Journal Article
| Published
| English
Author
Tavana, MadjidLibreCat;
Govindan, Kannan;
Nasr, Arash Khalili;
Heidary, Mohammad Saeed;
Mina, Hassan
Publishing Year
Journal Title
Annals of Operations Research
LibreCat-ID
Cite this
Tavana M, Govindan K, Nasr AK, Heidary MS, Mina H. A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries. Annals of Operations Research. Published online 2021. doi:10.1007/s10479-021-04130-z
Tavana, M., Govindan, K., Nasr, A. K., Heidary, M. S., & Mina, H. (2021). A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries. Annals of Operations Research. https://doi.org/10.1007/s10479-021-04130-z
@article{Tavana_Govindan_Nasr_Heidary_Mina_2021, title={A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries}, DOI={10.1007/s10479-021-04130-z}, journal={Annals of Operations Research}, publisher={Springer Science and Business Media LLC}, author={Tavana, Madjid and Govindan, Kannan and Nasr, Arash Khalili and Heidary, Mohammad Saeed and Mina, Hassan}, year={2021} }
Tavana, Madjid, Kannan Govindan, Arash Khalili Nasr, Mohammad Saeed Heidary, and Hassan Mina. “A Mathematical Programming Approach for Equitable COVID-19 Vaccine Distribution in Developing Countries.” Annals of Operations Research, 2021. https://doi.org/10.1007/s10479-021-04130-z.
M. Tavana, K. Govindan, A. K. Nasr, M. S. Heidary, and H. Mina, “A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries,” Annals of Operations Research, 2021, doi: 10.1007/s10479-021-04130-z.
Tavana, Madjid, et al. “A Mathematical Programming Approach for Equitable COVID-19 Vaccine Distribution in Developing Countries.” Annals of Operations Research, Springer Science and Business Media LLC, 2021, doi:10.1007/s10479-021-04130-z.
Google Scholar