  Bayesian analysis of publicly available time series of cases and fatalities
in different geographical regions of India during April 2020 is reported. It is
found that the initial apparent rapid growthin infections could be partly due
to confounding factors such as initial rapid ramp-up of disease surveillance. A
brief discussion is given of the fallacies which arise if this possibility is
neglected. The growth after April 10 is consistent with a time independent but
region dependent exponential. From this, R0 is extracted using both known cases
and fatalities. The two estimates are seen to agree in many cases; for these
CFR is reported. It is seen that CFR and R0 increase together. Some public
health implications of this observation are discussed, including a target
doubling interval if medical facilities are to remain adequate.
