Using Quantifiable Behavioral Traits to Predict a Country's COVID19 Infection Rates
COVID19 has shown that indicators that are a function of a nation's economy and healthcare infrastructure are inaccurate in predicting a country's outcomes should a health pandemic occur. Our poster suggests the utilization of quantifiable traits like Individualism, Power Distance, Masculinity, Uncertainty avoidance, long-term orientation, and Indulgence to predict a country's COVID19 infection rates. This is accomplished by applying machine learning techniques like CART imputation and Poisson regression against COVID and behavioral datasets.
|Work Title||Using Quantifiable Behavioral Traits to Predict a Country's COVID19 Infection Rates|
|License||CC BY 4.0 (Attribution)|
|Publication Date||April 2021|
|Publisher Identifier (DOI)||
|Deposited||July 16, 2021|
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