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add community transmission and svi rank #354

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231 changes: 231 additions & 0 deletions notebooks/COMMUNITY_TRANSMISSION.ipynb
Original file line number Diff line number Diff line change
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{
"cells": [
{
"cell_type": "markdown",
"id": "26b0e81b",
"metadata": {},
"source": [
"# Level Of Community Transmission\n",
"\n",
"### https://covid.cdc.gov/covid-data-tracker/#county-view"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d9f6944f",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import pycountry\n",
"import json\n",
"from datetime import datetime\n",
"import requests\n",
"import io"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a6ba5bf0",
"metadata": {
"tags": [
"parameters"
]
},
"outputs": [],
"source": [
"# papermill parameters\n",
"output_folder = \"../output/\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7144c483",
"metadata": {},
"outputs": [],
"source": [
"s = requests.Session()\n",
"response = s.get(\"https://covid.cdc.gov/covid-data-tracker/content/CoronaViewJson_01/fips-codes-covid-tracker.csv\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d28c2536",
"metadata": {},
"outputs": [],
"source": [
"fips = pd.read_csv(io.StringIO(response.text))\n",
"subdivisions = pycountry.subdivisions.get(country_code='US')\n",
"subdivision_dict = {subdivision.name: subdivision.code for subdivision in subdivisions}"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3ccd0f85",
"metadata": {},
"outputs": [],
"source": [
"response = s.get(\"https://covid.cdc.gov/covid-data-tracker/COVIDData/getAjaxData?id=integrated_county_latest_external_data\")\n",
"transition_df = pd.DataFrame(json.loads(response.text)[\"integrated_county_latest_external_data\"])\n",
"transition_df[\"fips_code\"] = transition_df[\"fips_code\"].astype(str)\n",
"transition_df[\"fips_code\"] = transition_df[\"fips_code\"].str.zfill(5)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5d429cd5",
"metadata": {},
"outputs": [],
"source": [
"df = pd.DataFrame()\n",
"\n",
"for i in range(len(fips)):\n",
" area = fips.iloc[i]\n",
" fips_code = str(area[\"fips_code\"]).zfill(5)\n",
" \n",
" # get response\n",
" url = \"https://covid.cdc.gov/covid-data-tracker/COVIDData/getAjaxData?id=integrated_county_timeseries_fips_{fips_code}_external\".format(fips_code=fips_code)\n",
" response = s.get(url)\n",
" \n",
" # create df for area\n",
" try:\n",
" tmp_df = pd.read_json(io.StringIO(json.dumps(json.loads(response.text)[\"integrated_county_timeseries_external_data\"])))\n",
" except:\n",
" continue\n",
" tmp_df[\"state_name\"] = area[\"state_name\"]\n",
" tmp_df[\"county\"] = area[\"county\"]\n",
" tmp_df[\"fips_code\"] = fips_code\n",
" tmp_df[\"svi\"] = transition_df.loc[transition_df[\"fips_code\"] == fips_code][\"svi_rank\"]\n",
" tmp_df[\"ISO3166_2\"] = subdivision_dict[area[\"state_name\"]][-2:]\n",
" tmp_df = tmp_df.drop(columns=[\"state\"])\n",
" tmp_df[\"new_cases_7_day_rolling_average\"] = tmp_df.replace({\"suppressed\": np.nan})\n",
" tmp_df[\"new_deaths_7_day_rolling_average\"] = tmp_df.replace({\"suppressed\": np.nan})\n",
" df = df.append(tmp_df, ignore_index=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9e10fc77",
"metadata": {},
"outputs": [],
"source": [
"df[\"Last_Updated_Date\"] = datetime.utcnow()\n",
"df['Last_Reported_Flag'] = df[\"date\"].max() == df[\"date\"]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5a7051e6",
"metadata": {
"scrolled": true
},
"outputs": [],
"source": [
"df = df.sort_values(by=['state_name', 'date'])"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "213085d3",
"metadata": {},
"outputs": [],
"source": [
"df[\"date\"] = pd.to_datetime(df[\"date\"], format=\"%Y-%m-%d\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1b1a0ef9",
"metadata": {},
"outputs": [],
"source": [
"df = df.rename(columns={\n",
" \"fips_code\": \"FIPS\",\n",
" \"state_name\": \"PROVINCE_STATE\",\n",
" \"county\": \"COUNTY\"\n",
"})"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8d79ff76",
"metadata": {},
"outputs": [],
"source": [
"df.dtypes"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ac3d56eb",
"metadata": {},
"outputs": [],
"source": [
"df[\"new_cases_7_day_rolling_average\"].unique()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d816fbc7",
"metadata": {},
"outputs": [],
"source": [
"df.to_csv(output_folder + \"COMMUNITY_TRANSMISSION.csv\", index=False, columns=[\n",
" \"FIPS\",\n",
" \"PROVINCE_STATE\",\n",
" \"COUNTY\",\n",
" \"ISO3166_2\",\n",
" \"new_cases_7_day_rolling_average\",\n",
" \"new_deaths_7_day_rolling_average\",\n",
" \"new_test_results_reported_7_day_rolling_average\",\n",
" \"admissions_covid_confirmed_7_day_rolling_average\",\n",
" \"percent_adult_inpatient_beds_used_confirmed_covid\",\n",
" \"percent_adult_icu_beds_used_confirmed_covid\",\n",
" \"report_date_window_start\",\n",
" \"report_date_window_end\",\n",
" \"community_transmission_level\",\n",
" \"svi\",\n",
" \"date\",\n",
" \"Last_Updated_Date\",\n",
" \"Last_Reported_Flag\"\n",
"])"
]
}
],
"metadata": {
"celltoolbar": "Tags",
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}