The role of systems modeling in public health provides decision makers from all sectors of the health sciences with a dynamic, broad outlook at a complex system in order to make a fully informed decision based on the question at hand. The most relevant feature of systems modeling is the ability to analyze the immense number of interconnections between parts, that cannot necessarily be seen with basic models and deep thinking. This dynamic complexity of models allows for long delays between cause and effect to be seen more easily, discerning roots of problems that may have never been considered otherwise. Additionally, this feature also allows for future policies to modeled before implementation, showing all potential intended and unintended effects. These qualities allow officials and policy makers to learn exactly why past initiatives have failed when not obvious, and demonstrate an informed, calculated estimate of the of the aspects that are helpful and harmful in potential policies. This information if very useful to “troubleshoot” elements of policies, and alter certain variables of the policy in order to try and create the most effective and positive version. Factors that are considered in these dynamic models include environmental factors, risk and health factors, resource availability, economic status, and access to social and health services. Overall, the goal of systems modeling in public health is to analyze and create a rational, systematic decision under conditions leading to uncertainty. Providing a logical and transparent structure for decision making allows policy-makers and health care officials to make a sound and informed decision in the most complex of situations.
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