Optimization models are characterized by supporting the decision-making process in public health. These tools can be used at various levels of management and operation to minimize costs and maximize care and benefits for the population. Therefore, it is necessary to apply optimization models to allow for the best possible utilization and distribution of resources in the public health domain, including day-to-day activities, as well as one-off cases of emergency.

The models in optimization can present outstanding results, related to an increase in productivity, a reduction of costs, or greater efficiency and an improved capacity to address emergencies. With the growing need for a continuous increase in operational efficiency, companies that invest in this type of tool will have a strong advantage within the market and make better management and planning decisions. From a different angle, a clear insight and understanding of the benefits optimization models bring in the domain of public health may convince decision-makers to rely on these models more frequently. Many managers and analysts do not know what to do with rich and detailed information from sources such as Artificial Intelligence (AI), Business Analytics (BA), and Business Intelligence (BI). However, the more accurate the information is, the better the decisions made will be; therefore, this technology provides data for intelligent decision management and administration.

This Special Issue aims to introduce new thematic public health care networks. We welcome original research articles focused on the potential of optimization of these networks through new mathematical models that will allow for more effective decision making, as well as review articles discussing the current state of the art.

Potential topics include but are not limited to the following:

• Innovations applied to information and communications technologies in public health
• New perspectives for the provision of mobile services in public health
• Optimization tools for the elaboration of health policies and programs
• Optimization models for public health in small cities
• Optimization models for public health in smart cities and smart villages context
• Optimization models for public health and the question of one-off instances of emergency, for example, heat waves, transmittable diseases, migration, and sport events