SDOH Analytics

Study the trends in “Any broadband, including cellular,” “No computing device,” “Smartphone only, no other device,” and “Percent in poverty” between two States (e.g. New York vs. New Jersey) in 150 to 200 words.Must use this link only.
Refer to the table below to work on the attached “Dataset 2018_EDITED.xlsx” (extracted from 2018 SDOH beta data files (Links to an external site.)). Select any 3 “FACTORS” from different “Domains” and correlate them to any 1 of the “OUTCOMES” and perform multiple regression. Use dataset from any two States/Countries (minimum) or ALL Countries (maximum).Watch this video tutorial.
Domains Topic Header Name in Excel Spreadsheet DescriptionFACTORS/CAUSESSocial context Social Vulnerability Index SVI_RPL_THEMES_ALL Percentile ranking for overall Social Vulnerability IndexSocial context Living Conditions ACS_PCT_HH_1PERS Percentage of households with only one occupantSocial context Living Conditions ACS_PCT_INTERNET Percentage of households with any internet connectionSocial context Living Conditions ACS_PCT_NO_PC Percentage of households without a computerSocial context Living Conditions ACS_PCT_SMARTPHONE Percentage of households with a smartphone with no other type of computing deviceEconomic context Income ACS_GINI_INDEX Gini index of income inequalityEconomic context Income ACS_PER_CAPITA_INCOME Per capita income (in dollars, inflation-adjusted to file data year)Healthcare context Health insurance status ACS_PCT_UNINSURED Percentage of population with no health insurance coverageHealthcare context Health care system characteristics NHC_LIC_STAFF Average hours per day of licensed staff (RN+LPN) per reporting facilityHealthcare context Health care system characteristics NHC_NUMFACS Number of facilitiesOUTCOMES/EFFECTSHealthcare context Health status-mortality CDC_HEART_DISEASE_DEATH Total cardiovascular disease death rate per 100,000 populationHealthcare context Health status-mortality CDC_OPIOID_DEATH Drug overdose deaths involving any opioid per 100,000 resident population per yearHealthcare context Health status-mortality CHR_ALCOHOL_DRIV_DEATH Percentage of driving deaths involving alcoholHealthcare context Health status-mortality CHR_DRUG_OVERDOSE_DEATH Number of drug poisoning deaths per 100,000 populationHealthcare context Health status-mortality CHR_PREMAT_DEATH_RATE Premature deaths: age-adjusted deaths per 100,000 population aged 74 and under