Geospatial-temporal pathogen tracing

A system comprising:

• at least one device including a hardware processor;
• the system being configured to perform operations comprising:
• obtaining, from a plurality of mobile devices in association with a first time, first contact tracing data comprising at least first geospatial traffic data and first values of a set of attributes associated with a pathogen;
• obtaining, from the plurality of mobile devices in association with a second time, second contact tracing data comprising at least second geospatial traffic data and second values of the set of attributes associated with the pathogen;
• applying at least the first contact tracing data and the second contact tracing data to a machine learning model;
• generating a hypothetical regional graph based on one or more candidate interventions and one or more candidate policies for addressing a test scenario associated with the pathogen, wherein generating the hypothetical regional graph comprises enforcing the one or more candidate policies with respect to addressing the test scenario, and the hypothetical regional graph comprises a plurality of nodes representing respective locations in a geospatial region and a plurality of edges representing a hypothetical traffic flow between the respective locations;
• embedding the hypothetical regional graph as a set of points in a latent vector space;
• obtaining actionable intelligence associated with the pathogen based on:
• applying at least the first contact tracing data and the second contact tracing data to the machine learning model;
• and
• embedding the hypothetical regional graph in the latent vector space,
• wherein the actionable intelligence comprises a candidate response to the pathogen and an effect of the candidate response with respect to the pathogen, and the candidate response comprises the one or more candidate interventions or the one or more candidate policies;
• providing the actionable intelligence to a notification platform;
• transmitting, via the notification platform and based on the actionable intelligence, exposure notifications to a mobile device of a user having a pathogen exposure risk to the pathogen;
• and
• transmitting, via the notification platform, the actionable intelligence to a policymaker responsible for evaluating the candidate response.

A method comprising:

• obtaining, from a plurality of mobile devices in association with a first time, first contact tracing data comprising at least first geospatial traffic data and first values of a set of attributes associated with a pathogen;
• obtaining, from the plurality of mobile devices in association with a second time, second contact tracing data comprising at least second geospatial traffic data and second values of the set of attributes associated with the pathogen;
• applying at least the first contact tracing data and the second contact tracing data to a machine learning model;
• generating a hypothetical regional graph based on one or more candidate interventions of and one or more candidate policies for addressing a test scenario associated with the pathogen, wherein generating the hypothetical regional graph comprises enforcing the one or more candidate policies with respect to addressing the test scenario, and the hypothetical regional graph comprises a plurality of nodes representing respective locations in a geospatial region and a plurality of edges representing a hypothetical traffic flow between the respective locations;
• embedding the hypothetical regional graph as a set of points in a latent vector space;
• obtaining actionable intelligence associated with the pathogen based on:
• applying at least the first contact tracing data and the second contact tracing data to the machine learning model;
• and
• embedding the hypothetical regional graph in the latent vector space,
• wherein the actionable intelligence comprises a candidate response to the pathogen and an effect of the candidate response with respect to the pathogen, and the candidate response comprises the one or more candidate interventions or the one or more candidate policies;
• providing the actionable intelligence to a notification platform;
• transmitting, via the notification platform and based on the actionable intelligence, exposure notifications to a mobile device of a user having a pathogen exposure risk to the pathogen;
• and
• transmitting, via the notification platform, the actionable intelligence to a policymaker responsible for evaluating the candidate response.