Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/155013| Author(s): | Daniela Couto Botelho Monteiro |
| Title: | Predicting Adherence to Public Health Measures During COVID-19 Pandemic: A Machine Learning Approach |
| Issue Date: | 2023-11-20 |
| Subject: | Economia e gestão Economics and Business |
| Scientific areas: | Ciências sociais::Economia e gestão Social sciences::Economics and Business |
| DOI: | 10.34626/bepe-jq42 |
| TID identifier: | 203555171 |
| URI: | https://hdl.handle.net/10216/155013 |
| Document Type: | Dissertação |
| Rights: | openAccess |
| Appears in Collections: | FEP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 649557.pdf | PREDICTING ADHERENCE TO PUBLIC HEALTH MEASURES DURING COVID-19 PANDEMIC: A MACHINE LEARNING APPROACH | 2.65 MB | Adobe PDF |  View/Open |
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