By: Sam Koslowsky, Senior Analytic Consultant,
Harte Hanks
Models predicting the potential spread of the COVID-19 pandemic have become a fixture of American life. Many of these models use typical demographic data, coupled with underlying medical conditions, infection rates, etc. Indeed, the spread of this disease may have made ‘predictive models’ a frequent household topic of conversation. Much discussion has occurred on the sequence of symptoms of the disease. A key question posed by many involves the likelihood of progressing from one symptom to the next. A ‘transition’ analysis, based on rudimentary statistical principles, depicts the likelihood of displaying various symptoms. These transitions are referred to
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