  CoVID-19 is currently one of the biggest threats to mankind. To date, it is
the reason for infections of over 35 lakhs and the death of over 2 lakh human
beings. We propose a procedure to detect CoVID-19 affected localities using a
sewage mass testing and pooling mechanism which has gained ground in recent
times. The proposed method named Sewage Pooling Algorithm tests wastewater
samples from sewage systems to pinpoint the regions which are affected by
maximum chances of the virus spread. The algorithm also uses a priority-based
backtracking procedure to perform testing in sewage links depending on the
probability of infection in the sub-areas. For places with very rare CoVID
cases, we present a gradient-based search method to prune those areas. The
proposed method has less human intervention and increases the effective
tests/million people over current in-place methods.
