  Health is a very important prerequisite in peoples well-being and happiness.
Several studies were more focused on presenting the occurrence on specific
disease like forecasting the number of dengue and malaria cases. This paper
utilized the time series data for trend analysis and data forecasting using
ARIMA model to visualize the trends of health data on the ten leading causes of
deaths, leading cause of morbidity and leading cause of infants deaths
particularly in the Philippines presented in a tabular data. Figures for each
disease trend are presented individually with the use of the GRETL software.
Forecasting results of the leading causes of death showed that Diseases of the
heart, vascular system, accidents, Chronic lower respiratory diseases and
Chronic Tuberculosis (all forms) showed a slight changed of the forecasted
data, Malignant neoplasms showed unstable behavior of the forecasted data, and
Pneumonia, diabetes mellitus, Nephritis, nephrotic syndrome and nephrosis and
certain conditions originating in perinatal showed a decreasing patterns based
on the forecasted data.
