GENDER AND AGE RELATIONSHIP ON COVID-19 IN INDONESIA BY GLM MODEL

Aulia Himmatul Ulya, Edwin Setiawan Nugraha

Abstract


Coronaviruses are a family of viruses that can infect humans and animals. COVID-19 is caused by a newly identified coronavirus. COVID-19 was declared as a pandemic by WHO on March 11, 2020, since it is emerging in many countries around the world including Indonesia. Several forms and policies have been taken by the government to prevent the spread of COVID-19. By using the GLM model, we try to see the relationship between gender and age on COVID-19 cases and mortality that occur in Indonesia until April 12, 2021. The results show that the dependent variables have no relationship with gender, but do have a relationship with age. Inverse Gaussian with the link function 1/mu^2 is the best model for describing the relationship for the independent variable age. The results of the study serve as an evaluation for the government to obtain improve quality in healthcare quality, especially in developing strategies for dealing with COVID-19 cases, and mortality.

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