The COVID Data Browser is a work-in-progress created by the Zeetix LLC team intended for non-commercial use by government officials, researchers, media, and interested people. We welcome opportunities to collaborate with interested parties to extend and enhance this offering.

Technology stack

The COVID Data Browser is supported by a CentOS 7 system hosted on Amazon AWS. It uses Neo4J (a graph database) to store all data accessible to the site. Access to the Neo4J database is provided by a lightweight nodeJS microservices. The front-end currently relies on hand-crafted HTML/CSS/Javascript chosen for expedience. A React front-end is in progress in order to improve the user experience. Data is regularly ingested using tools built in Python.

Anticipated enhancements

Several areas of enhancements are anticipated, subject to our extreme resource constraints.

Greatly improved spatial resolution

The COVID Data Browser will be greatly improved by gathering and managing more granular data. For example, data is becoming available at the village, town or city level. The underlying database schema is capable of handling data at virtually any scale, including congressional district, ward, precint, census block, and even real estate parcel (or smaller).

User experience

As previously mentioned, a front-end built using React is being developed. Anticipated features include animations of various layers over time, additional interactive display and data visualization capabilities, and integration of a variety of additional data types and sources.

Data analysis tools

This technology stack greatly simplifies the construction of analysis tools that can be applied across large datasets to improve the ability of users to discover, document and share new aspects of already harvested data.

Data Sources

The current data sources (see Sources) aggregate data at the "county" level. Additional data sources may include "point" sources such as individual nursing homes, hospitals, and similar geographic features.