The research aims to study the relationship between the health situation variables and
a group of economic variables in Syria during the Period (2000-2011), as the research
aims to create a mathematical model that illustrates the relationship betwe
en them using
Canonical Analysis.
The most significant results as follows:
- There is a very strong and statistically significant correlation between health level
variables and economic variables.
- The result of canonical analysis shows that national income per capita is the most
influential variable in health-level variables, followed by total investments, and hence
average per capita gross domestic product, and then the revised rate of activity.
- The result of canonical analysis shows that the average population per bed and
crude mortality rate have a strong impact on economic variables.
- We have come to build a mathematical model that represents the relationship
between health level variables and economic variables.
