Invention Application
- Patent Title: PREDICTIVE MODELS FOR INFECTIOUS DISEASES
-
Application No.: PCT/US2022/071287Application Date: 2022-03-23
-
Publication No.: WO2022213024A1Publication Date: 2022-10-06
- Inventor: JUTLA, Antarpreet S. , USMANI, Moiz , COLWELL, Rita
- Applicant: UNIVERSITY OF FLORIDA RESEARCH FOUNDATION, INC. , UNIVERSITY OF MARYLAND, COLLEGE PARK
- Applicant Address: 223 Grinter Hall; UM Ventures, 0134 Lee Building
- Assignee: UNIVERSITY OF FLORIDA RESEARCH FOUNDATION, INC.,UNIVERSITY OF MARYLAND, COLLEGE PARK
- Current Assignee: UNIVERSITY OF FLORIDA RESEARCH FOUNDATION, INC.,UNIVERSITY OF MARYLAND, COLLEGE PARK
- Current Assignee Address: 223 Grinter Hall; UM Ventures, 0134 Lee Building
- Agency: GRIGGERS, Charles, W.
- Priority: US63/168,060 2021-03-30
- Main IPC: G16H50/20
- IPC: G16H50/20 ; G16B40/00 ; G16B40/20 ; G16B50/30 ; G16H70/60 ; G16H50/50 ; G16H50/30 ; G16H50/80
Abstract:
The present disclosure provides systems and methods for predicting the occurrence of an outbreak of an infectious disease. One such method includes acquiring environmental risk factor data associated with a particular disease, wherein the environmental risk factor data corresponds to a particular geographic region; acquiring social risk factor data associated with the particular disease; applying a prediction algorithm to the environmental and social risk factor data to generate a disease risk model for generating at least a trigger prediction and a transmission prediction for a disease-causing pathogen at the particular geographic region; generating the trigger prediction by applying the disease risk model to a forecast of data for a first lead time for the particular geographic region; and/or generating the transmission prediction by applying the disease risk model to the transmission prediction for a second lead time for the particular geographic region. Other methods and systems are also provided.
Information query