Analysing impact of meteorological factors affecting covid-19 at global level

COVID-19 is a strange but dangerous virus. It has spread like an epidemic overall at the global level. It is so rapidly increasing that it takes little time to make the infection doubled. The period of becoming double is very fast. For this purpose, it is tried to find out whether COVID-19 has equally effected all the countries. It is also tried to know the factors that highly affect the No. of deaths, death percentage, and case by COVID-19.

The facts of highly affected by the epidemic, coronavirus countries are considered for study purposes. Independent factors Social distancing (lockdown), Density of population, Urban population, Gender ratio, Rate of double cases and dependent factors are Infected cases by COVID-19, No. of death by COVID-19 and death percentages by COVID-19.

To test the hypothesis the statistical techniques artificial neural network is used to measure it. It is also tried to find out whether the No. of death due to COVID-19 is affected by any factors included in the study or not.

For result verification purposes and finding model fitness, artificial neural network technique is used. It is found that urban ratio and density are the most affecting variable to the death by Coronavirus disease while gender ratio, rate of doubling the deaths and lockdown periods are not much-effected variables.