Foodborne zoonotic diseases and pathogens related to climate change are of considerable concern for public health because they have impacts on food systems at the production, transportation, processing, storage, preparation and consumption levels. These impacts all can stand in the way of sustainable socioeconomic development and progress. Various multidimensional variables associated with the diseases and pathogens can be categorized in six subsystems: (i) ecological degradation, (ii) extreme weather events, (iii) supply chain management, (iv) food safety, (v) disaster management and (vi) public health policy. The variables related to these categories interact in a nonlinear way in complex adaptive systems. Various multidimensional variables, data management systems and advanced methods are required to model this complex issue. Hence, a model based on complex adaptive systems and blockchain technology-enabled agent-based modeling is proposed in this paper in order to assess the public health impact of foodborne zoonotic diseases and pathogens related to climate change. This model can be useful for identifying the risks and vulnerabilities related to the diseases and pathogens present in food systems.