By combining data from many cloud stages, the Privacy Protection in Protected Multi-Cloud Data Amalgamation for Infectious Sickness Enquiry plan aims to increase widespread surveillance. The scheme looks at physical information and fitness to perceive sickness designs using Kulldorff probe figures. It uses a key-forgetting interior creation encryption (KOIPE) tool to protect secrecy, limiting access to just single arithmetical data. Furthermore, as long as there is measurable secrecy fortification, rummage-sale is a game-theoretic technique to promote unidentifiable clusters. Three main components make up the system: data assortment, which incorporates a variety of bases; data examination, which categorizes early disease clusters; and privacy fortification, which employs KOIPE and Protected Multi-Party Computation (SMC) to protect against implication episodes. This technique increases the accuracy of sickness shadowing, operator confidentiality, and contributes to a safe and climbable environment.