Digital passport with verified data provenance

A method for accurately and securely assembling, storing, and leveraging travel data, the method comprising:

• detecting a travel event of a user, said travel event comprising a transition of the user from a first location to a second location;
• recording the travel event in a travel map that is stored in a database, said travel map comprising a temporal-based and spatial-based record of one or more travel events of the user, wherein said travel map is stored as a blockchain ledger, and each travel event of the travel map is recorded as a separate data block of the blockchain ledger;
• tokenizing sensitive information associated with the user in the database;
• calculating, via a processor and based at least in part on data associated with the first location and the second location, a hazard vector;
• updating, based at least in part on the hazard vector, a status index associated with the user;
• and
• providing the user and a system administrator access to the travel map and the status index, said access being provided via an online portal configured to be viewed via an application running on a mobile device.

A system with increased accuracy and security for assembling, storing, and leveraging travel data, the system comprising:

• a processor;
• a database configured to store the travel data;
• and
• a non-transitory memory storing computer executable instructions, that when run on the processor, are configured to:
• detect a travel event of a user, said travel event comprising a transition of the user from a first location to a second location;
• record the travel event in a travel map that is stored in the database, said travel map comprising a temporal-based and spatial-based record of one or more travel events of the user, wherein said travel map is stored as a blockchain ledger, and each travel event of the travel map is recorded as a separate data block of the blockchain ledger;
• calculate, based at least in part on data associated with the first location and the second location, a hazard vector;
• and
• update, based at least in part on the hazard vector, a status index associated with the user;
• wherein the system further comprises an artificial intelligence (AI) component that is configured to:
• calculate one or more intermediate travel events, each intermediate travel event being a travel event that exceeds a predetermined probability threshold of having occurred based on the travel events in the travel map;
• calculate one or more future travel events, each future travel event being a travel event that exceeds a predetermined probability threshold of occurring in the future based on the travel events in the travel map;
• and
• add the one or more intermediate travel events and the one or more future travel events to the travel map.