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COVID-19-Vaccine-Willingness-and-Hesitancy-among-Residents-in-Qatar

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therapeutics/covid-19-vaccine-willingness-and-hesitancy-among-residents-in-qatar

A Machine Learning-based approach to classify COVID-19 Vaccine Willingness and Hesitancy severity among people in Qatar based on survey outcomes.

Machine-generated from the listed sources and not yet reviewed by a human.

COVID-19-Vaccine-Willingness-and-Hesitancy-among-Residents-in-Qatar project image
GitHub preview card for Sakib1263/COVID-19-Vaccine-Willingness-and-Hesitancy-among-Residents-in-Qatar. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
Apache-2.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
anova · covid-19 · jupyter-notebook · machine-learning · pycaret · python3 · statistical-analysis · t-test
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

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sources
  1. api.github.com/repos/Sakib1263/COVID-19-Vaccine-Willingness-and-Hesitancy-among-Residents-in-Qatar
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2021-09-30, 4 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/7.json→ .entries["covid-19-vaccine-willingness-and-hesitancy-among-residents-in-qatar"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.