Fig. 1: Higher COVID-19 incidences in the second wave compared to the first wave, on average.
From: Characterizing COVID-19 waves in urban and rural districts of India
Comparing COVID-19 (a) cumulative incidence proportion (per one million people) and (b) cumulative incidence rate (per one million person-day), between the first (x axis) and the second (y axis) wave. The dashed line indicates the line of equality, and the solid blue line represents linear regression fit. COVID-19 incidence proportions and rates were on average higher in the second wave than in the first wave. The panels also show the estimated average severity ratio and 95% confidence interval based on bootstrap estimations with 100,000 replications. Spearman’s correlation coefficients between the first and second wave are 0.87 and 0.86, for cumulative incidence proportions and rates, respectively, and significant at the 0.01 level.
