Personal pandemic proximity index system and method

1. A personal pandemic proximity index system comprising:

a data ingestion pipeline receives location data associated with disease-positive cases;

a data processing module cleans and processes the received data;

a personal pandemic proximity module determines a numerical personal pandemic proximity index value associated with an individual having an interaction at an address relative to the location data;

a graphical user interface presents, to a patient care team, the numerical personal pandemic proximity index value; and

the graphical user interface further presents, to a pandemic management team, a map displaying locations of disease-positive cases and showing the geospatial relationship of individual's address to the disease-positive cases;

wherein the data ingestion pipeline further receives mobility data associated with disease-positive cases, and the personal pandemic proximity module further determines the numerical personal pandemic proximity index value based at least in part on the mobility data;

wherein the data processing module processes the received data using at least one of artificial intelligence and machine learning techniques.

2. The system of claim 1 , wherein the data processing module processes the received data using natural language processing techniques.

3. The system of claim 1 , wherein the data processing module processes the received data using Gaussian process modeling techniques.

4. The system of claim 1 , wherein the graphical user interface to displays the heatmap showing data at a block-group level.

5. The system of claim 1 , wherein the graphical user interface displays a recommended modified workflow for the patient care team.

6. A personal pandemic proximity index method comprising: receiving location data associated with disease-positive cases; extracting and processing the received data;

determining a numerical personal pandemic proximity index value associated with an individual having an address relative to the location data;

presenting, to a patient care team, the numerical personal pandemic proximity index value associated with the individual; and

presenting a heatmap displaying locations of disease-positive cases and showing the geospatial relationship of the individual's address to the disease-positive cases;

wherein receiving the location data comprises receiving mobility data associated with disease-positive cases, and determining the numerical personal pandemic proximity index value based at least in part on the mobility data;

wherein determining the numerical personal pandemic proximity index value comprises processing the received data using at least one of artificial intelligence and machine learning techniques.

7. The method of claim 6 , wherein determining the numerical personal pandemic proximity index value comprises processing the received data using natural language processing techniques.

8. The method of claim 6 , wherein determining the numerical personal pandemic proximity index value comprises processing the received data using Gaussian process modeling techniques.

9. The method of claim 6 , wherein presenting the heatmap comprises displaying the heatmap showing data at a block-group level.

10. The method of claim 6 , further comprising presenting a recommended modified workflow for the patient care team based at least in part on the numerical personal pandemic proximity index value associated with the individual.

11. A database management system having encoded thereon a method for determining a personal pandemic proximity index, the method comprising:

receiving location data associated with disease-positive cases;

extracting and processing the received data;

determining a numerical personal pandemic proximity index value associated with an individual having an address relative to the location data;

presenting, to a patient care team, the numerical personal pandemic proximity index value associated with the individual; and

presenting a heatmap displaying locations of disease-positive cases and showing the geospatial relationship of the individual's address to the disease-positive cases;

wherein receiving the location data comprises receiving mobility data associated with disease-positive cases, and determining the numerical personal pandemic proximity index value based at least in part on the mobility data;

wherein determining the numerical personal pandemic proximity index value comprises processing the received data using at least one of artificial intelligence and machine learning techniques.

12. The database management system of claim 11 , wherein determining the numerical personal pandemic proximity index value comprises processing the received data using natural language processing techniques.

13. The database management system of claim 11 , wherein determining the numerical personal pandemic proximity index value comprises processing the received data using Gaussian process modeling techniques.

14. The database management system of claim 11 , wherein presenting the heatmap comprises displaying the heatmap showing data at a block-group level.

15. The database management system of claim 11 , further comprising: presenting a recommended modified workflow for the patient care team based at least in part on the numerical personal pandemic proximity index value associated with the individual.