ABSTRACT
The COVID-19 pandemic has affected the global healthcare system in many countries. India has faced complex multidimensional problems concerning the healthcare system during the COVID-19 outbreak. This article explores some of the implications of COVID-19 on the health system. Also, we attempt to study health economics and other related issues. We have developed the susceptible-exposed-infection-recovered model, logistic growth model, time interrupted regression model, and a stochastic approach for these problems. These models focus on the effect of prevention measures and other interventions for a pandemic on the healthcare system. Our study suggests that the above models are appropriate for COVID-19 at break and effective models for the implications of the pandemic on the healthcare system. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The investigation of PC vision is especially fascinating because of the worldwide plague COVID-19 to improve general well being administrations. At the hour of death, the disclosure of a little item is a difficult assignment of taking a gander at a PC, as it catches the division and revelation under the video picture. Contrasted with other item disclosure profound neural organizations have shown the revelation of supported articles by acquiring a higher veil. Nonetheless, admittance to the proposed framework is covered by an uncommon point that absolutely occurs with regular infections individuals profit by. Added to completing a face cover well, which estimates constant execution corresponding to an incredible GPU. Test outcomes showing a regular misfortune are 0.0730 in the wake of preparing 4000 ages. Subsequent to preparing 4000 focuses, ages mAP 0.96. This exceptional face concealing framework gets visual yield with 96% separation and identification affectability.