Table 1.
Summary of the variables in the regression model
| Variable | Mean | SD | Min | Max | N | Description |
|---|---|---|---|---|---|---|
| Deaths | 24.22 | 189.14 | 0 | 3,166 | 345 | Counts of deaths due to COVID-19 in the district (median = 1) |
| Female | 0.50 | 0.50 | 0 | 1 | 69,837 | Male = 0, female = 1 |
| Urban | 0.29 | 0.46 | 0 | 1 | 69,837 | Person’s residence is rural = 0, urban = 1 |
| SC (Dalits) | 0.19 | 0.40 | 0 | 1 | 69,837 | Other groups = 0, scheduled caste (SC or Dalit) = 1 |
| ST (Adivasi people) | 0.14 | 0.34 | 0 | 1 | 69,837 | Other groups = 0, scheduled tribes (ST or Adivasi) = 1 |
| Smoking | 0.35 | 0.48 | 0 | 1 | 69,837 | Non-smoker = 0, smoker = 1 |
| Ill-health | 0.42 | 1.22 | 0 | 4 | 69,837 | Confirmatory factor index of blood pressure, diabetes, asthma, heart disease, cancer (0–4) |
| Low assets | 0.23 | 0.42 | 0 | 1 | 69,837 | The lowest quintile of wealth is coded as 1, and the four higher asset quintiles = 0 |
| Obesity | 0.04 | 0.19 | 0 | 1 | 69,837 | BMI ≥ 30 at individual level = 1, others = 0 |
| Underweight | 0.14 | 0.35 | 0 | 1 | 69,837 | BMI < 18 at individual level = 1, others = 0 |
| Age 65+ | 0.05 | 0.01 | 0.02 | 0.12 | 345 | The proportion of population of ages 65 + living in the district |
| Migration | 0.09 | 0.04 | 0.02 | 0.32 | 345 | The proportion of in-migrants (0–9 years) living in the district |
| Obesity% | 0.04 | 0.03 | 0 | 0.14 | 345 | The proportion of people living in the district with BMI ≥ 30 |
| Underweight% | 0.20 | 0.06 | 0.05 | 0.37 | 345 | The proportion of people living in the district with BMI < 18 |
Sources (1) NFHS 2015/16 couples’ individual data; (2) deaths—howindialives.com (accessed on the 17th of June); (3) age 65+ and migration—Indian Census 2011, summaries at District level
Notes The reference category is coded as “0” in all cases