Vaccination uptake, happiness and emotions: using a supervised machine learning approach.
| Year of publication: |
2024
|
|---|---|
| Authors: | Greyling, Talita ; Rossouw, Stephanié |
| Publisher: |
Essen : Global Labor Organization (GLO) |
| Subject: | COVID-19 | vaccine | happiness | emotions | supervised machine learning |
| Series: | GLO Discussion Paper ; 1482 |
|---|---|
| Type of publication: | Book / Working Paper |
| Type of publication (narrower categories): | Working Paper |
| Language: | English |
| Other identifiers: | 1905112637 [GVK] hdl:10419/301837 [Handle] RePEc:zbw:glodps:1482 [RePEc] |
| Classification: | c55 ; I10 - Health. General ; I31 - General Welfare; Basic Needs; Quality of Life ; h12 ; N40 - Government, War, Law, and Regulation. General, International, or Comparative |
| Source: |
-
Vaccination uptake, happiness and emotions : using a supervised machine learning approach
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