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tool to generate easy to use data related to the Covid-19 pandemic","homepage":"https://github.com/Coriou/easy-covid-data#readme","repository":{"type":"git","url":"git+https://github.com/Coriou/easy-covid-data.git"},"author":{"name":"Benjamin Coriou"},"bugs":{"url":"https://github.com/Coriou/easy-covid-data/issues"},"license":"ISC","readme":"# EASY-COVID-DATA\n\n![npm](https://img.shields.io/npm/dy/@coriou/easy-covid-data?style=for-the-badge)\n![GitHub](https://img.shields.io/github/license/coriou/easy-covid-data?style=for-the-badge)\n![npm (scoped)](https://img.shields.io/npm/v/@coriou/easy-covid-data?style=for-the-badge)\n\nThis projects takes data from [CSSEGISandData/COVID-19](https://github.com/CSSEGISandData/COVID-19), parses it and returns it in a much friendlier format.\n\nThis project is used in production to power a Discord bot able to rapidly give data about the current situation regarding the pandemic.\n\n## Installation\n\n`npm i @coriou/easy-covid-data` or `yarn add @coriou/easy-covid-data`\n\n## Example\n\n```js\nimport { getData } from \"@coriou/easy-covid-data\"\n\ngetData()\n  .then(({ countryData }) => {\n    const france = countryData.find(country => country.countryCode === \"FR\")\n\n    console.log(france)\n  })\n  .catch(console.error)\n```\n\nResult:\n\n```json\n{\n  \"country\": \"France\",\n  \"lat\": 3.9339,\n  \"long\": -53.1258,\n  \"countryCode\": \"FR\",\n  \"countryISO\": \"250\",\n  \"countryCapital\": \"Paris\",\n  \"countrySurface\": 551500,\n  \"countryPopulation\": 64979548,\n  \"countryPopulationDensity\": 120.59,\n  \"cases\": [{ \"date\": \"2020-01-22T00:00:00.000Z\", \"value\": 0 }, \"...\"],\n  \"casesCurrent\": 57749,\n  \"deaths\": [{ \"date\": \"2020-01-22T00:00:00.000Z\", \"value\": 0 }, \"...\"],\n  \"deathsCurrent\": 4043,\n  \"recovered\": [{ \"date\": \"2020-01-22T00:00:00.000Z\", \"value\": 0 }, \"...\"],\n  \"recoveredCurrent\": 11053\n}\n```\n\n## API\n\nThe modules exports two methods which both take no arguments and return a promise:\n\n### `getData`\n\nJohns Hopkins' data, aggregated and enriched with data from [samayo/country-json](https://github.com/samayo/country-json)\n\n```json\n{\n  \"sources\": [\"https://github.com/CSSEGISandData/COVID-19\", \"...\"],\n  \"lastUpdated\": \"2020-04-02T14:10:27.786Z\",\n  \"latestUpdate\": \"2020-04-01T22:04:58.000Z\",\n  \"currentCases\": 932605,\n  \"currentDeaths\": 46809,\n  \"currentRecovered\": 193177,\n  \"countryData\": [\n    {\n      \"country\": \"Afghanistan\",\n      \"lat\": 33,\n      \"long\": 65,\n      \"countryCode\": \"AF\",\n      \"countryISO\": \"004\",\n      \"countryCapital\": \"Kabul\",\n      \"countrySurface\": 652090,\n      \"countryPopulation\": 35530081,\n      \"countryPopulationDensity\": 46.8,\n      \"cases\": [\n        {\n          \"date\": \"2020-01-22T00:00:00.000Z\",\n          \"value\": 0\n        },\n        \"...\"\n      ],\n      \"casesCurrent\": 237,\n      \"deaths\": [\n        {\n          \"date\": \"2020-01-22T00:00:00.000Z\",\n          \"value\": 0\n        },\n        \"...\"\n      ],\n      \"deathsCurrent\": 4,\n      \"recovered\": [\n        {\n          \"date\": \"2020-01-22T00:00:00.000Z\",\n          \"value\": 0\n        },\n        \"...\"\n      ],\n      \"recoveredCurrent\": 5,\n      \"latestUpdate\": \"2020-04-01T21:58:34.000Z\"\n    },\n    \"...\"\n  ]\n}\n```\n\n### `getTopoData`\n\nTopo data from [topojson/world-atlas](https://github.com/topojson/world-atlas) enriched with Johns Hopkins' data / country. This is very useful to plot a map.\n\n```json\n[\n  {\n    \"feature\": {\n      \"type\": \"Feature\",\n      \"id\": \"716\",\n      \"properties\": {\n        \"name\": \"Zimbabwe\",\n        \"originalName\": \"Zimbabwe\"\n      },\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\"...\"]\n      }\n    },\n    \"data\": {\n      \"country\": \"Zimbabwe\",\n      \"lat\": -20,\n      \"long\": 30,\n      \"countryCode\": \"ZW\",\n      \"countryISO\": \"716\",\n      \"countryCapital\": \"Harare\",\n      \"countrySurface\": 390757,\n      \"countryPopulation\": 16529904,\n      \"countryPopulationDensity\": 36.58,\n      \"cases\": [\n        {\n          \"date\": \"2020-01-22T00:00:00.000Z\",\n          \"value\": 0\n        },\n        \"...\"\n      ],\n      \"casesCurrent\": 8,\n      \"deaths\": [\n        {\n          \"date\": \"2020-01-22T00:00:00.000Z\",\n          \"value\": 0\n        },\n        \"...\"\n      ],\n      \"deathsCurrent\": 1,\n      \"recovered\": [\n        {\n          \"date\": \"2020-01-22T00:00:00.000Z\",\n          \"value\": 0\n        },\n        \"...\"\n      ],\n      \"recoveredCurrent\": 0,\n      \"latestUpdate\": \"2020-04-01T21:58:34.000Z\"\n    }\n  },\n  \"...\"\n]\n```\n\n## Use the data directly\n\nI maintain Github Gists with this data, you can find them and use them directly there:\n\n- **Country Data**: [`covid-19.json`](https://gist.github.com/9c1092560b251f2843d802b0b04beb87)\n- **Topo Data**: [`covid-19-topojson.json`](https://gist.github.com/201288651baee8df5fcb45f056237739)\n","readmeFilename":"README.md"}