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However, public health emergency management (PHEM) always involves multi-disciplinary and multi-hierarchical models that complicate the work of modeling. Models are also made more complex by the consideration of new requirements and interactions. Therefore, we propose a domain-specific methodology to guide the modeling process in PHEM. By analyzing domain characteristics and modeling requirements, a meta-modeling framework can be constructed, containing the basic elements with which to construct an artificial society to study epidemic transmission. In this paper, the designs of meta-models are discussed in detail, and domain models are implemented by code generation, which enables the support of large-scale, agent-based computational experiments on the KD-ACP platform. Case studies of Ebola are outlined, emergency scenarios are reconstructed based on pre-designed meta-models, and \u201cscenario-response\u201d experiments are presented. This study provides a valuable framework and methodology with which to study complex social problems in PHEM. The proposed method has been verified effectively and efficiently.<\/jats:p>","DOI":"10.1177\/0037549717733064","type":"journal-article","created":{"date-parts":[[2017,10,4]],"date-time":"2017-10-04T03:40:16Z","timestamp":1507088416000},"page":"401-419","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["A meta-modeling framework in public health emergency management"],"prefix":"10.1177","volume":"94","author":[{"given":"Bin","family":"Chen","sequence":"first","affiliation":[{"name":"College of Information System and Management, National University of Defense Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Information System and Management, National University of Defense Technology, 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