Covid 19 Simulations in JSON

Script to converts csv’s provided by AFRL Explainable Artificial Intelligence Laboratory to json files separated by locations

Homepage

Sources

Simulation Sources

• EXAIL - AFRL Explainable AI Lab data
• IHME
• Center for Army Analysis (CAA)
• Los Alamos National Laboratory(LANL)
• University of Texas (UT)
• Youyang Gu (YYG)

Example usage

1. Visit USDA and obtain a FIPS Code

   • Counties are the same as this site trimming out the leading zeroes
   • States are multiplied by 1000 (example Alabama –> 1000)
   • Countries only include the United States at this time with FIPS 840

2. Visit desired hierarchy (countries, states, counties)/FIPS.json

• Example

Requirements to Edit

• nodejs

• .env file with the following keys

  • AWS_ACCESS_KEY_ID
  • AWS_SECRET_ACCESS_KEY
  • AWS_FOUO_BUCKET_NAME
  • AWS_BUCKET_NAME
  • AWS_REGION

  Contact KBR to obtain access keys

Folder structure

data

Stores all json files in hierarchy as follows

• countries
  • unique FIPS to country
  • currently only United States
  • 100,000 indexed to avoid overlap
• states
  • unique FIPS to state
  • US States
• counties
  • unique US County FIPS
  • US Counties
• selectors (WIP)
  • used for select drop down options
    • Nations, US State, US Counties by State

scripts

scripts used to parse csv’s into json format

npm run build

Fetches files based on date in script (need to update to fetch yesterday’s date automatically), unzips it, and runs the parse script.

npm run parse

Runs a script located at scripts/parse.js

npm run clean

Removes ignored files to make fetching fresh

npm run fetch

Fetches the latest files, unzips them, and places them in the files directory

• Requires a .env file with all the aws associated keys to access the buckets
  • keys
    • AWS_ACCESS_KEY_ID
    • AWS_SECRET_ACCESS_KEY
    • AWS_FOUO_BUCKET_NAME
    • AWS_BUCKET_NAME
    • AWS_REGION
  • Contact KBR to obtain access keys