Predicting COVID-19 exposure risk perception using machine learning
Abstract Background Self-perceived exposure risk determines the likelihood of COVID-19 preventive measure compliance to a large extent and is among the most important predictors of mental health problems. Therefore, there is a need to systematically identify important predictors of such risks. This...
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| Format: | Article |
| Language: | English |
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BMC
2023-07-01
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| Series: | BMC Public Health |
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| Online Access: | https://doi.org/10.1186/s12889-023-16236-z |
