Intelligent Approach to Combat COVID-19: An Insight Analysis

COVID-19 – the utmost global crisis and the major global pandemic is literally changing our life. Every person is observing at the everyday rise of the death toll and the fast, exponential growth of this novel and dynamic strain of the virus. To find the effective treatment, the virus source prediction, infection classifications are important issues to be addressed. As we are waiting to get rid of this situation and waiting to know the peak and down fall timing of this pandemic, forecasting of epidemic development is also important issue to be addressed. In this present chapter we have used some mathematical modeling and Artificial Intelligence based or more specifically Machine learning based approaches to combat this pandemic. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

A study to comprehend Indian pharma 4.0 from incubation to innovation

Indian pharmaceutical sector has been projected best during the corona crisis across world. It’s a larger supplier of medical facilities amid pandemic era and as per Bill Gates India is a self-reliant nation to even discover vaccines for corona virus. India underwrites the second major portion of medicinal and biotech labour force in the world. Thus, pharma companies must look forward to strategies the products promotion well, following the best branding practices such as targeting the audience, creating brand image, trust building, spread the world about brand and usage of industry 4.0. Pharmaceutical branding is a vital way to generate awareness among potential aids of drugs and benefits. Branding can represent a new competitive advantage for pharma companies imbibing industry 4.0. This is a conceptual explorative research demonstrates future of pharma 4.0 in a verge to become self-reliant nation. The use of artificial intelligence, big data analytics and adoption of the data driven enhancement cycle method - DMAIC (Define, Measure, Analyse, Improve, Control) results in designing better future of Indian pharma industry. Pharma 4.0 would see the business link paraphernalia across development and dispersal by using better, more reliable larger volumes of data to revolutionise engineering. © 2021 Nova Science Publishers, Inc.

Assessment of prediction models of confirmed, recovered and deceased cases due to COVID-19

Pandemic relates to a situation where any disease starts spreading geographically and affects a entire country or the whole world. So when an epidemic becomes pandemic, it really a question of our survival. COVID -19 has become a pandemic as we all know and needs real and underneath research on that. The procession of death is uncountable still now. It can cause significant economic, social, and political disruption. So it’s very necessary to know the impact of it on originating venue so that we can analyze its potential and rate of spreads. So to do this we have applied here some Machine learning algorithm and concepts of regression for prediction. In this present work we have made prediction model of confirmed cases, Recovered and death cases using K-Nearest Neighbour regressor and Gradient Boosting Regressor. The model performance is very good in predicting all the cases. The R squared value is very near to 1. © 2021 Institute of Physics Publishing. All rights reserved.

Design and analysis of the epidemic novel corona virus

We all know that corona virus first news is get flashed on 31st December 2019 from the Wuhan city of China and Province Hubei is mostly affected by this deadliest version of corona bomb hence it is called COVID -19 named by scientists because it’s completely novel by structure. It’s a respiratory diseases and very much similar to SARS (Severe Acute Respiratory Syndrome) but its molecule structure is not completely similar to SARS hence till now there is no medicine for this daemon CORONA. Currently we can clearly observe that almost all countries of world are suffering from this. At initial stage it is predicted that its animal kind of flu and hence there is no need to worry but as soon as time goes by its started transmitting from animal to men and then men to men and hence transmitted from city of Wuhan and reaches almost all corners of the world, hence it is very dangerous for our civilization and its increasing death rate and suspect cases reveals that it’s a big epidemic that we ever faced in last 100 years. So by observing the severity of this epidemic we need to inform right and exact guideline to every other people. Epidemic is a disease that spread very quickly and covers entire geographical area in no time that what the world are facing off. It can cause significant economic, social, and political disruption. Before this the mankind has experienced several epidemics like SARS, Dengue, Plague, and Spanish Flue which had already ruined the life of world completely in those days when Medical science was not at their pick. But, today when world civilization and modern medical science is at their pick a new RNA structured VIRUS has completely destroyed the world in many ways. So it’s very necessary to know the impact of it on originating venue so that we can analyze its danger and rate of spread ability. So to do this we have applied h Machine Learning algorithm and concepts for predicting death and other cases of Covid-19. © 2021 Institute of Physics Publishing. All rights reserved.