This invention discloses an
intelligent decision-making
system for the prevention and control of mosquito-borne
midge infectious diseases based on
spatial aggregation, belonging to the field of
disease prevention and control technology. The invention includes a multi-
source data acquisition subsystem, a
spatial aggregation analysis subsystem, an infectious
disease dynamic simulation subsystem, a prevention and control decision generation subsystem, and an effect feedback subsystem. Based on a three-dimensional framework of media,
population, and environment, it constructs a model and, combined with parameter calibration and multi-
scenario simulation, achieves refined
simulation of epidemic and
pandemic scenarios. It dynamically recreates the synergistic effects of mosquito-borne
midge population changes, the human infection process, and
environmental regulation, supports extreme
scenario simulation, and predicts the development trend of epidemics in advance. By matching differentiated
resource allocation and prevention and control plans according to risk levels, and combining dynamic evaluation and iterative optimization, it achieves precise implementation and continuous improvement of prevention and control measures. Simultaneously, it verifies the effectiveness of the plan through multi-dimensional evaluation indicators, maximizes the
utilization rate of prevention and control resources, ensures that prevention and control measures are always adapted to the epidemic situation, and improves long-term prevention and control effectiveness.