Author: Spors, E.; Michael, S.
Title: Standardized incidence ratio of the COVID-19 pandemic: a case study in a Midwestern state Cord-id: 6h3pzuad Document date: 2021_9_30
ID: 6h3pzuad
Snippet: The Coronavirus disease 2019 (COVID19) has made a dramatic impact around the world with some communities facing harsher outcomes than others. We sought to understand how each county fared compared to what would be expected and what factors contributed to negative outcomes from the pandemic in South Dakotas counties. The Standardized incidence ratios of all counties using age adjusted hospitalization and death rates are computed. In addition, a penalized generalized linear regression model is use
Document: The Coronavirus disease 2019 (COVID19) has made a dramatic impact around the world with some communities facing harsher outcomes than others. We sought to understand how each county fared compared to what would be expected and what factors contributed to negative outcomes from the pandemic in South Dakotas counties. The Standardized incidence ratios of all counties using age adjusted hospitalization and death rates are computed. In addition, a penalized generalized linear regression model is used to identify factors that have an association with COVID19 hospitalization and death rates. The results identified counties that had more severe outcomes than what would be expected. In addition, race, education, and testing rate were some of the significant factors associated with the outcome.
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