MC6 -- Comparing Multiple Proportions (An analytical study of COVID-19 data in three different care facilities)
Document Type
Event
Abstract
We use the publicly available data sets by the South Carolina Department of Health and Environment Control (SCDHEC). Data collected prior to August 2020 was used to compare the different proportions to determine statistical significance between COVID-19 confirmed cases and deaths in three facilities: Residential Care Facilities, Nursing Homes, and Intermediate Care Facilities for Individuals with Intellectual Disabilities. The spread of respiratory illnesses like COVID-19 is common in these types of facilities, and the residents who live there are at high risk for developing complications or death from COVID-19 infection. From the collected data, we compare confirmed cases to residents, confirmed cases to staff, deaths of residents, and staff deaths. For comparing the equality of proportions, we use the Marascuillo method to assess these differences in proportions to check statistical significance.
Keywords
Math, Computer Science, Informatics
MC6 -- Comparing Multiple Proportions (An analytical study of COVID-19 data in three different care facilities)
URC Greatroom
We use the publicly available data sets by the South Carolina Department of Health and Environment Control (SCDHEC). Data collected prior to August 2020 was used to compare the different proportions to determine statistical significance between COVID-19 confirmed cases and deaths in three facilities: Residential Care Facilities, Nursing Homes, and Intermediate Care Facilities for Individuals with Intellectual Disabilities. The spread of respiratory illnesses like COVID-19 is common in these types of facilities, and the residents who live there are at high risk for developing complications or death from COVID-19 infection. From the collected data, we compare confirmed cases to residents, confirmed cases to staff, deaths of residents, and staff deaths. For comparing the equality of proportions, we use the Marascuillo method to assess these differences in proportions to check statistical significance.