Abstract: Systems and methods are provided for correlating a person/event of interest with other persons based on mobile device usage/location. Personally identifiable information can be kept hidden/obfuscated to protect user privacy in the case of a person of interest, as well as persons correlated to that person/event of interest. Information can be anonymized and posted for sharing with mobile device service providers, such as cellular carriers. A remotely-executed and customizable correlation engine can identify those cellular subscribers that were near/in the same location as the user. A notification alert can be sent, e.g., via an Amber Alert-like system to cellular subscribers that have been in proximity to the user or known areas in which events-of-interest have occurred. Location-based datasets can be flattened into an optimized data structure reflecting preferred location logics, and an application programming interface (API) and obfuscation layer can be used based on the flattened datasets.