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Describe the dataset in detail (no normative judgements), and what economic factors are in play. What would you implement to make positive changes in the

  1. Describe the dataset in detail (no normative judgements), and what economic factors are in play. 
  2. What would you implement to make positive changes in the SES data (again, no normative modifications, be data centric). Use health economic terms and concepts 
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Figure 2 Cumulative Age-Adjusted Risk of COVID-19 Infection, Hospitalization, and Death, Compared to White People in the United States American Indian or Alaska Native Hispanic Black Asian White 1.6 1.5 1.1 1.0 0.8 Cases 2.5 2.1 1.8 1.0 0.7 Hospitalizations 2.0 1.7 1.6 Deaths 1.0 0.8 NOTE: Persons of Hispanic origin may be of any race but are categorized as Hispanic; other groups are non-Hispanic; data for Native Hawaiian or Other Pacific Islander (NHOPI) people are not reported. SOURCE: CDC, Risk for COVID-19 Infection, Hospitalization, and Death By Race/Ethnicity, https://www.cdc.gov/coronavirus/2019-ncov/covid- data/investigations-discovery/hospitalization-death-by-race-ethnicity.html. Data as of December 28, 2022, accessed February 28, 2023. PNG KFF

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