Table 6.
Influence of obese and differences in testing rates.
| Hotspots | Natural log number of confirmed cases | Case fatality rate | Red zones | |
|---|---|---|---|---|
| (1) | (2) | (3) | (4) | |
| Panel A: Adults (15−49) | ||||
| Obese | 6.199*** | 14.904*** | −3.146 | 2.340* |
| (1.133) | (3.982) | (2.855) | (1.454) | |
| Observations | 391 | 266 | 137 | 389 |
| R-squared | 0.459 | 0.511 | 0.522 | 0.342 |
| Panel B: Adults (15−49) | ||||
| BMI | 0.138*** | 0.382** | −0.040 | 0.068* |
| (0.036) | (0.149) | (0.082) | (0.039) | |
| BMI*high testing rate state | 0.009 | −0.602 | −0.476 | 0.083 |
| (0.154) | (0.645) | (0.456) | (0.156) | |
| Net effect of BMI in high testing rate states | 0.147 | −0.219 | −0.516 | 0.152 |
| [0.335] | [0.737] | [0.257] | [0.333] | |
| Observations | 391 | 266 | 137 | 389 |
| R-squared | 0.431 | 0.505 | 0.528 | 0.337 |
| Includes rainfall and temperature | YES | YES | YES | YES |
| Includes controls | YES | YES | YES | YES |
| Include control for testing rate | YES | YES | YES | YES |
| Include controls for demographic/health infrastructure | YES | YES | YES | YES |
| Includes controls for HBA, BP and glucose levels | YES | YES | YES | YES |
| Includes log number of women elected | YES | YES | YES | YES |
| Includes state fixed-effects | NO | NO | NO | NO |
Notes: OLS regression results of district-level data presented. Models include a constant term which is not reported. Controls include a set of individual (height, age, marital status, educational level, and number of children less than 5 years in the household) and household characteristics (religion and caste identifiers, wealth index, controls for age of the household head, gender of the household head, household size, type of wall material of the house, rural/urban status, presence of electricity, type of toilet facility, primary source of drinking water and years lived in place of residence). Testing rate is measured at the state-level. State-level measures on demographic/health infrastructure include the natural log of population density in 2011, natural log of per capita health expenditure in 2016, natural log number of doctors in 2018, proportion of respiratory cases in 2018, and proportion of the population that is 60 years and above in 2017. State fixed-effects cannot be included in columns (1)-(4) as these variables are at the state-level. Robust White standard errors reported. Table reports weighted estimates. *** Denotes significance at the 1 % level, ** at the 5 % level and * at the 1 % level. p-values in square brackets.