Abstract: In the Existing System, In order to slow down the spread of the disease, known as COVID-19, and reduce the stress on healthcare structures and intensive care units, many governments have taken drastic and unprecedented measures, such as closure of schools, shops and entire industries, and enforced drastic social distancing regulations, including local and national lockdowns. To effectively address such pandemics in a systematic and informed manner in the future, it is of fundamental importance to develop mathematical models and algorithms to predict the evolution of the spread of the disease to support policy and decision making at the governmental level. It is urgent to conduct prediction research on the development and spread of the epidemic. In this project, a hybrid artificial-intelligence (AI) model is proposed for COVID-19 prediction.
Keywords: component, COVID, infectious, prediction, regression
| DOI: 10.17148/IJARCCE.2022.11819