Understanding Covid-19 Impact on Adults Over 50 and How to Reduce Disease Spread among Vulnerable Populations

Abstract

Michael Pearson

COVID-19 has impacted millions, and populations over 50 have experienced the most significant level of impact resulting in death. A non-experimental longitudinal design examines preexisting data from multiple public databases. A multivariate regression model is used to survey the factors influencing COVID-19 outcomes. A cluster sampling of four regions within the United States is used to collect data relating to population count, age-based demographics, and COVID-19 impact and consequences. As a result, in reducing disease spread, adherence to interventions strategies is essential. The response time, ability to reduce susceptibility and manage through underlying conditions (i.e., psycho-social-medical conditions) influence the disproportionate effect on disease impact. Thus, level and ability to engage safety precautions is a vital public health measure, and effective for disease management.

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