Background: Emerging infectious diseases are considered public health problems that impact the economy, politics, and society. Disease prevention and control require high-quality cooperation from related agencies and area network partners. This study aimed to develop a model for preventing and controlling emerging infectious diseases through area network participation. Study Design: Mixed methods research. Methods: Phase I: The study examined factors influencing the prevention and control of emerging infectious diseases in three groups: 1) 364 COVID-19 risk groups, 2) 252 Surveillance and Rapid Response Team members and area network partners, and 3) 168 Subdistrict Disease Control Operations Center Working Group members. Quantitative data were analyzed using factor analysis, discriminant analysis, and multiple regression. Qualitative data were analyzed through content analysis. Phase II: Development of the model for disease prevention and control. Results: The study found that in Group 1, increased knowledge influenced behavior in disease prevention (Mean difference=0.09) and ATK testing (Mean difference=0.34). ATK testing and COVID-19 vaccination were found to be unique to each person (Uniqueness=0.62-0.68). In Group 2, disease prevention and control participation was high (Mean=4.27, SD = 0.69). In Group 3, support from the government sector was at a moderate level (Mean=3.65, SD=1.01), with positive support mainly related to technology (discriminant coefficient=0.06). The critical factors in the development process driving the prevention and control of emerging infectious diseases in the area were operated by the 3P Model: 5 Power, 6 Participation, 7 Proactive. Conclusion: This study revealed that the 3P model can serve as a guideline for preventing and controlling outbreaks of emerging infectious diseases.