The purpose of this article is two pronged; first, to identify and report public health implications of the ongoing coronavirus (COVID-19) pandemic, and second, to report challenges uniquely faced by the citizens of India from a population health perspective. We have done both while closely examining epidemiological data that is accessible via SMAART’s RAPID Tracker. This policy informatics platform is a live database aimed to track the geospatial spread of the COVID-19 outbreak and policy actions globally and is administered collaboratively by CUNY’s Graduate School of Public Health and Health Policy and a global, non-profit public health incubator. Infectivity, incidence, and recovery rates were computed and graphical representations of epidemiological datasets were studied. We have discussed a plausible conceptual framework based on the principles of population health informatics for countries with similar characteristics to build a stronger public and community health foundation in order to safeguard populations during a health emergency in the future.
【저자키워드】 COVID-19, public health, India, public policy, SMAART RAPID tracker, 【초록키워드】 coronavirus, pandemic, database, Population, Policy, Spread, Infectivity, Health, Characteristics, COVID-19 outbreak, Community, dataset, epidemiological, epidemiological data, School, incidence, platform, health emergency, Perspective, Administered, Public, implication, country, identify, build,