@coriou/easy-covid-data NPM

EASY-COVID-DATA

This projects takes data from CSSEGISandData/COVID-19, parses it and returns it in a much friendlier format.

This project is used in production to power a Discord bot able to rapidly give data about the current situation regarding the pandemic.

Installation

npm i @coriou/easy-covid-data or yarn add @coriou/easy-covid-data

Example

import { getData } from "@coriou/easy-covid-data"

getData()
  .then(({ countryData }) => {
    const france = countryData.find(country => country.countryCode === "FR")

    console.log(france)
  })
  .catch(console.error)

Result:

{
  "country": "France",
  "lat": 3.9339,
  "long": -53.1258,
  "countryCode": "FR",
  "countryISO": "250",
  "countryCapital": "Paris",
  "countrySurface": 551500,
  "countryPopulation": 64979548,
  "countryPopulationDensity": 120.59,
  "cases": [{ "date": "2020-01-22T00:00:00.000Z", "value": 0 }, "..."],
  "casesCurrent": 57749,
  "deaths": [{ "date": "2020-01-22T00:00:00.000Z", "value": 0 }, "..."],
  "deathsCurrent": 4043,
  "recovered": [{ "date": "2020-01-22T00:00:00.000Z", "value": 0 }, "..."],
  "recoveredCurrent": 11053
}

API

The modules exports two methods which both take no arguments and return a promise:

`getData`

Johns Hopkins' data, aggregated and enriched with data from samayo/country-json

{
  "sources": ["https://github.com/CSSEGISandData/COVID-19", "..."],
  "lastUpdated": "2020-04-02T14:10:27.786Z",
  "latestUpdate": "2020-04-01T22:04:58.000Z",
  "currentCases": 932605,
  "currentDeaths": 46809,
  "currentRecovered": 193177,
  "countryData": [
    {
      "country": "Afghanistan",
      "lat": 33,
      "long": 65,
      "countryCode": "AF",
      "countryISO": "004",
      "countryCapital": "Kabul",
      "countrySurface": 652090,
      "countryPopulation": 35530081,
      "countryPopulationDensity": 46.8,
      "cases": [
        {
          "date": "2020-01-22T00:00:00.000Z",
          "value": 0
        },
        "..."
      ],
      "casesCurrent": 237,
      "deaths": [
        {
          "date": "2020-01-22T00:00:00.000Z",
          "value": 0
        },
        "..."
      ],
      "deathsCurrent": 4,
      "recovered": [
        {
          "date": "2020-01-22T00:00:00.000Z",
          "value": 0
        },
        "..."
      ],
      "recoveredCurrent": 5,
      "latestUpdate": "2020-04-01T21:58:34.000Z"
    },
    "..."
  ]
}

`getTopoData`

Topo data from topojson/world-atlas enriched with Johns Hopkins' data / country. This is very useful to plot a map.

[
  {
    "feature": {
      "type": "Feature",
      "id": "716",
      "properties": {
        "name": "Zimbabwe",
        "originalName": "Zimbabwe"
      },
      "geometry": {
        "type": "Polygon",
        "coordinates": ["..."]
      }
    },
    "data": {
      "country": "Zimbabwe",
      "lat": -20,
      "long": 30,
      "countryCode": "ZW",
      "countryISO": "716",
      "countryCapital": "Harare",
      "countrySurface": 390757,
      "countryPopulation": 16529904,
      "countryPopulationDensity": 36.58,
      "cases": [
        {
          "date": "2020-01-22T00:00:00.000Z",
          "value": 0
        },
        "..."
      ],
      "casesCurrent": 8,
      "deaths": [
        {
          "date": "2020-01-22T00:00:00.000Z",
          "value": 0
        },
        "..."
      ],
      "deathsCurrent": 1,
      "recovered": [
        {
          "date": "2020-01-22T00:00:00.000Z",
          "value": 0
        },
        "..."
      ],
      "recoveredCurrent": 0,
      "latestUpdate": "2020-04-01T21:58:34.000Z"
    }
  },
  "..."
]