The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/16489950

Nuhu Abdulhaqq Isa (2022): Quantifying Holistic Capacity Response and Healthcare Resilience in Tackling COVID-19: Assessment of Country Capacity by MCDM. Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/16489950.v3

Dataset

x choose version: version 2 - 2021-09-01 version 1 - 2021-09-01

• Public Health and Health Services
• Other Information and Computing Sciences
• Biomedical Engineering
• Specific Population Health

COVID-19 Preparedness, COVID-19 response, fuzzypromethee, Health workers, Healthcare resilience, Mathematical models/simulations, MCDMS, Multiple criteria decision making, nigeria

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Nuhu Abdulhaqq Isa

Detailed dataset, sources, list of covid19 indicators, triangular and linguistic scale preference, weighing of data, and fuzzy Promethee application for evaluating cross-country capacity response against covid19. Data were systematically collected from public repositories and further transformed to derived data suitable for the objectives of our study.

• 2021-09-01 first online

• 2022-12-22 published, posted

4TU.ResearchData

Excel, word, and vpg

Near East University