International Journal of Health Policy Planning(IJHPP)

Senior Public Health Expert, Information Management and Analysis, India

Publications

• Review Article   
  Simulation Modelling in Public Health: Concepts, Applications and Integration with Artificial Intelligence. A Conceptual and Applied Framework for Prediction, Preparedness, and Decision-Making in Public Health Systems
  Author(s): Sandhya Ahuja*
  
  Simulation modelling is an important method in public health for understanding complex health problems, testing possible scenarios, and supporting better planning and decision-making. Public health systems often work under uncertainty, especially during outbreaks, climate-related health events, disasters, hospital emergencies, and changing disease patterns. In such situations, simulation modelling helps answer practical “what if” questions without waiting for real-life events to occur. For example, it can help estimate what may happen if air quality worsens, if rainfall increases dengue risk, if vaccination coverage improves, or if hospital admissions suddenly rise during a heat wave or epidemic. This article explains the basic concept of simulation modelling in public health, its major types, and its applications across different public health division’s such as com.. Read More»
  

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