Published Paper Details:

Background- COVID-19 has spread worldwide and follows a growth depending upon policy and socioeconomic indicators. In India COVID-19 has been localized & measured viral disease, as per the early data till 18th April. It is interesting and informative to look at various associations. Up till April 18th new cases per day in India were less than 1000. Objective- What are the socioeconomic correlates with COVID-19 data? Materials and methods- Data was extracted from national repositories and correlations were checked using SPSS16.0 for windows. Results- Places with generally better medical facilities, have a cluster of cases distributed unevenly and are traceable. Larger areas of states have less of the patients (r=-.458*). More populous states have less cases (r=-.551*). This may be due to extensive, early & nationwide lockdown declared by government of India. Better agriculture gains are correlated positively with cured/discharged cases (rho=+369*). Better infrastructure in the form of highway length of states may cause clustering (r=.379*) of fatalities due to more care facilities of COVID-19 . Conclusion- These trends of localized spread are reported till during intermission of phase II of local transmission and phase III of community transmission, dated till April 18th. This trend may change later during the end phase of COVID-19 pandemic in India. Opening of lockdown in a graded & controlled manner shall we observed considering for these correlations.