USING SOME TYPES OF INTERVENTION VARIABLES TO STUDY THE EFFECT OF THE VACCINE ON THE NUMBER ON THE NUMBER OF CORONAVIRUS INFECTIONS USING THE INTERVENTION ANALYSIS MODEL

Abstract

 Corona viruses are a widespread family, which is a large family of viruses that may cause disease to humans and animals, and it is known that many of them cause respiratory infections in humans and symptoms (fever, dry cough, pain and muscle aches, sore throat, diarrhea, loss of sense of taste or smell) and some symptoms are severe such as (difficulty or shortness of breath, chest pain, inability to speak or move). Vaccine doses on Corona disease  and the data on which the study relied is a time series representing the weekly averages of the number of infections (4/3/2020) until (19/12  /2022) weekly The data was recorded through the daily bulletins announced by the Ministry of Health, and (146) views were obtained, which represent the number of injuries and the data on which the study reliedon a time series representing the rates. It has been concluded that the second intervention variable (the variable of the sudden start step function and the permanent effect of the intervention after one period of the event) has a strong intervention effect on the number of infections, meaning that the effect of the intervention for this variable is to start two weeks after taking the vaccine .the appropriate model to represent the number of infections with the Corona virus is the model of the third intervention variable a test t .  we find that the intervention variables  the first, second and third variables in terms of the number of infections with the Corona virus