In today’s fast-changing business environment,enterprises are facing unprecedented challenges.In today’s fast-changing business environment,enterprises are facing unprecedented challenges.Compliance management has become a key element to ensure the sustainable development of enterprises,not only because it assists enterprises to comply with laws and regulations,but also because it is the cornerstone of corporate reputation and culture.A compliance management model called“Trinity”has emerged.Based on this,this paper analyzes in detail the“Trinity”model of compliance management from the value of its application in enterprises,to provide new ideas and directions for the compliance management work of enterprises,and promote enterprises to achieve a more robust and stable business environment in the complex and changing market environment.In order to provide new ideas and directions for enterprise compliance management,and to promote enterprises to realize more stable and sustainable development in the complex and changing market environment.
Emerging infectious diseases have been frequently observed.The occurrence of infectious diseases is highly uncertain because of the unpredictability of pathogen,the complexity of occurrence time and site,and the characteristics of transmission.Early detection and immediate implementation of effective interventions within a reasonable time are the keys to preventing pandemics.[1]However,due to the insufficiency of the traditional surveillance and early warning,which relied heavily on passive reporting by healthcare institutions,[2]the early warning time lags behind the risk factor identification,syndrome differentiation(pneumonia of unknown cause),and suspected case confirmation of the infectious disease at the gateway of clustered cases.This paper aimed to face the challenges mentioned above and propose a universal epidemic intelligence model to establish a novel infectious disease surveillance and early warning system based on the trinity of surveillance and detection,risk assessment,and early warning.
Ting ZhangLuzhao FengShengjie LaiZhihang PengYajia LanWeizhong Yang