CARD Predictive Modeling and SEI Formulation: COVID-19 Statistics in India

نویسندگان

چکیده

The current scenario of the pandemic COVID-19 has been a source anchorage for researchers, healthcare professionals, and statisticians. Based on immense data, it observed that role statistics crucial in researching at same predicting entire globe. This paper deals with extensive data collection predictive modeling to derive CARD model using statistical tools like regression curve fitting. exponential growth prevalent live updates via dashboards maintained by different organizations WHO, Johns Hopkins University, Indian Council Medical Research. In similar tone, discusses time-varying specific condition. However, generic derived researchers other countries. accuracy considered satisfactory. Moreover, State-wise Evaluation Indexing performed considering parameters sanitation, population below poverty line, literacy rate, density. Results have shown better visualization through cartograms. conclusions are noteworthy, can be trained developed concept machine deep learning, keeping context huge amount instantaneous being generated every day all over world.

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ژورنال

عنوان ژورنال: Journal of institution of engineers (India) series B

سال: 2021

ISSN: ['2250-2106', '2250-2114']

DOI: https://doi.org/10.1007/s40031-021-00608-3