{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import pandas as pd\n", "from altair import Chart, X, Y, Axis, Color" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Loading the dataset" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "outbrks_before_2014 = pd.read_csv(\"data/in/ebola-outbreaks-before-2014-cleaned.csv\", encoding=\"utf-8\", index_col=False)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Start dateEnd dateDuration (days)Country nameEbola subtypeReported number of human casesReported number of deaths among casesReported % of deaths among cases
02012-11-012013-01-3191UgandaSudan virus630.500
12012-06-012012-11-30182Democratic Republic of the CongoBundibugyo virus36130.361
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" ], "text/plain": [ " Start date End date Duration (days) Country name \\\n", "0 2012-11-01 2013-01-31 91 Uganda \n", "1 2012-06-01 2012-11-30 182 Democratic Republic of the Congo \n", "\n", " Ebola subtype Reported number of human cases \\\n", "0 Sudan virus 6 \n", "1 Bundibugyo virus 36 \n", "\n", " Reported number of deaths among cases Reported % of deaths among cases \n", "0 3 0.500 \n", "1 13 0.361 " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "outbrks_before_2014.head(2)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Start dateEnd dateDuration (days)Country nameEbola subtypeReported number of human casesReported number of deaths among casesReported % of deaths among cases
311976-01-011976-12-31365Sudan (South Sudan)Sudan virus2841510.53
321976-01-011976-12-31365Democratic Republic of the CongoZaire virus3182800.88
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" ], "text/plain": [ " Start date End date Duration (days) Country name \\\n", "31 1976-01-01 1976-12-31 365 Sudan (South Sudan) \n", "32 1976-01-01 1976-12-31 365 Democratic Republic of the Congo \n", "\n", " Ebola subtype Reported number of human cases \\\n", "31 Sudan virus 284 \n", "32 Zaire virus 318 \n", "\n", " Reported number of deaths among cases Reported % of deaths among cases \n", "31 151 0.53 \n", "32 280 0.88 " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "outbrks_before_2014.tail(2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## General information" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### How many outbreaks are we talking about?" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'There has been 33 Ebola outbreaks before 2014'" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\"There has been {} Ebola outbreaks before 2014\".format(len(outbrks_before_2014))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Where did they happen?" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n" ] }, "metadata": { "jupyter-vega": "#91864837-f37b-4bf7-9f88-e588f2a757bc" }, "output_type": "display_data" }, { "data": { "application/javascript": [ "var spec = {\"mark\": \"bar\", \"config\": {\"cell\": {\"height\": 350, \"width\": 500}}, \"encoding\": {\"y\": {\"type\": \"ordinal\", \"field\": \"Country name\"}, \"x\": {\"axis\": {\"title\": \"Number of outbreaks\"}, \"aggregate\": \"count\", \"type\": \"quantitative\", \"field\": \"*\"}}, \"data\": {\"values\": [{\"Reported number of deaths among cases\": 3, \"Reported % of deaths among cases\": 0.5, \"Country name\": \"Uganda\", \"Reported number of human cases\": 6, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2013-01-31\", \"Start date\": \"2012-11-01\", \"Duration (days)\": 91}, {\"Reported number of deaths among cases\": 13, \"Reported % of deaths among cases\": 0.361, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 36, \"Ebola subtype\": \"Bundibugyo virus\", 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among cases\": 1, \"Reported % of deaths among cases\": 1.0, \"Country name\": \"Russia\", \"Reported number of human cases\": 1, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1996-12-31\", \"Start date\": \"1996-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 0, \"Reported % of deaths among cases\": 0.0, \"Country name\": \"Philippines\", \"Reported number of human cases\": 0, \"Ebola subtype\": \"Reston virus\", \"End date\": \"1996-12-31\", \"Start date\": \"1996-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 0, \"Reported % of deaths among cases\": 0.0, \"Country name\": \"USA\", \"Reported number of human cases\": 0, \"Ebola subtype\": \"Reston virus\", \"End date\": \"1996-12-31\", \"Start date\": \"1996-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 1, \"Reported % of deaths among cases\": 0.5, \"Country name\": \"South Africa\", \"Reported number of human cases\": 2, \"Ebola 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280, \"Reported % of deaths among cases\": 0.88, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 318, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1976-12-31\", \"Start date\": \"1976-01-01\", \"Duration (days)\": 365}]}};\n", "var selector = \"#91864837-f37b-4bf7-9f88-e588f2a757bc\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "require(['nbextensions/jupyter-vega/index'], function(vega) {\n", " vega.render(selector, spec, type, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega": "#91864837-f37b-4bf7-9f88-e588f2a757bc" }, "output_type": "display_data" }, { "data": { "image/png": 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" }, "metadata": { "jupyter-vega": "#91864837-f37b-4bf7-9f88-e588f2a757bc" }, "output_type": "display_data" } ], "source": [ "num_outbrks = Chart(outbrks_before_2014).mark_bar().encode(\n", " X('count(*):Q', axis=Axis(\n", " title='Number of outbreaks',\n", " )),\n", " Y('Country name:O') \n", ")\n", "\n", "num_outbrks" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "There has been outbreaks in 11 countries:\n", "* in Uganda -> 5\n", "* in England -> 1\n", "* in South Africa -> 1\n", "* in Democratic Republic of the Congo -> 9\n", "* in Russia -> 2\n", "* in Italy -> 1\n", "* in Gabon -> 4\n", "* in USA -> 3\n", "* in Philippines -> 3\n", "* in Sudan (South Sudan) -> 3\n", "* in Côte d'Ivoire (Ivory Coast) -> 1\n" ] } ], "source": [ "unique_countries = set(outbrks_before_2014['Country name'])\n", "print(\"There has been outbreaks in {} countries:\".format(len(unique_countries)))\n", "\n", "for name in unique_countries:\n", " print(\"* in {0} -> {1}\".format(name, list(outbrks_before_2014['Country name']).count(name)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### When did they happen?" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n" ] }, "metadata": { "jupyter-vega": "#8688cb4b-a38b-4de9-b5c3-861ee4f2f272" }, "output_type": "display_data" }, { "data": { "application/javascript": [ "var spec = {\"mark\": \"bar\", \"config\": {\"cell\": {\"height\": 350, \"width\": 500}}, \"encoding\": {\"x2\": {\"type\": \"temporal\", \"field\": \"End date\"}, \"color\": {\"type\": \"nominal\", \"field\": \"Country name\"}, \"y\": {\"type\": \"nominal\", \"field\": \"Country name\"}, \"x\": {\"axis\": {\"title\": \"time\"}, \"type\": \"temporal\", \"field\": \"Start date\"}}, \"data\": {\"values\": [{\"Reported number of deaths among cases\": 3, \"Reported % of deaths among cases\": 0.5, \"Country name\": \"Uganda\", \"Reported number of human cases\": 6, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2013-01-31\", \"Start date\": \"2012-11-01\", \"Duration (days)\": 91}, {\"Reported number of deaths among cases\": 13, \"Reported % of deaths among cases\": 0.361, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 36, \"Ebola subtype\": \"Bundibugyo virus\", \"End date\": \"2012-11-30\", \"Start date\": \"2012-06-01\", \"Duration (days)\": 182}, {\"Reported number of deaths among cases\": 4, \"Reported % of deaths among cases\": 0.364, \"Country name\": \"Uganda\", \"Reported number of human cases\": 11, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2012-10-31\", \"Start date\": \"2012-06-01\", \"Duration (days)\": 152}, {\"Reported number of deaths among cases\": 1, \"Reported % of deaths among cases\": 1.0, \"Country name\": \"Uganda\", \"Reported number of human cases\": 1, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2011-05-01\", \"Start date\": \"2011-05-01\", \"Duration (days)\": 0}, {\"Reported number of deaths among cases\": 15, \"Reported % of deaths among cases\": 0.47, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 32, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"2009-02-28\", \"Start date\": \"2008-12-01\", \"Duration (days)\": 89}, {\"Reported number of deaths among cases\": 0, \"Reported % of deaths among cases\": 0.0, \"Country name\": \"Philippines\", \"Reported number of human cases\": 6, \"Ebola subtype\": \"Reston virus\", \"End date\": \"2008-11-01\", \"Start date\": \"2008-11-01\", \"Duration (days)\": 0}, {\"Reported number of deaths among cases\": 37, \"Reported % of deaths among cases\": 0.25, \"Country name\": \"Uganda\", \"Reported number of human cases\": 149, \"Ebola subtype\": \"Bundibugyo virus\", \"End date\": \"2008-01-31\", \"Start date\": \"2007-12-01\", \"Duration (days)\": 61}, {\"Reported number of deaths among cases\": 187, \"Reported % of deaths among cases\": 0.71, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 264, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"2007-12-31\", \"Start date\": \"2007-01-01\", \"Duration (days)\": 364}, {\"Reported number of deaths among cases\": 1, \"Reported % of deaths among cases\": 1.0, \"Country name\": \"Russia\", \"Reported number of human cases\": 1, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"2004-12-31\", \"Start date\": \"2004-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 7, \"Reported % of deaths among cases\": 0.41, \"Country name\": \"Sudan (South Sudan)\", \"Reported number of human cases\": 17, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2004-12-31\", \"Start date\": \"2004-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 29, \"Reported % of deaths among cases\": 0.83, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 35, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"2003-12-31\", \"Start date\": \"2003-11-01\", \"Duration (days)\": 60}, {\"Reported number of deaths among cases\": 128, \"Reported % of deaths among cases\": 0.89, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 143, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"2003-04-30\", \"Start date\": \"2002-12-01\", \"Duration (days)\": 150}, {\"Reported number of deaths among cases\": 43, \"Reported % of deaths among cases\": 0.75, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 57, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"2002-03-31\", \"Start date\": \"2001-10-01\", \"Duration (days)\": 181}, {\"Reported number of deaths among cases\": 53, \"Reported % of deaths among cases\": 0.82, \"Country name\": \"Gabon\", \"Reported number of human cases\": 65, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"2002-03-31\", \"Start date\": \"2001-10-01\", \"Duration (days)\": 181}, {\"Reported number of deaths among cases\": 224, \"Reported % of deaths among cases\": 0.53, \"Country name\": \"Uganda\", \"Reported number of human cases\": 425, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2001-12-31\", \"Start date\": \"2000-01-01\", \"Duration (days)\": 730}, {\"Reported number of deaths among cases\": 1, \"Reported % of deaths among cases\": 1.0, \"Country name\": \"Russia\", \"Reported number of human cases\": 1, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1996-12-31\", \"Start date\": \"1996-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 0, \"Reported % of deaths among cases\": 0.0, \"Country name\": \"Philippines\", \"Reported number of human cases\": 0, \"Ebola subtype\": \"Reston virus\", \"End date\": \"1996-12-31\", \"Start date\": \"1996-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 0, \"Reported % of deaths among cases\": 0.0, \"Country name\": \"USA\", \"Reported number of human cases\": 0, \"Ebola subtype\": \"Reston virus\", \"End date\": \"1996-12-31\", \"Start date\": \"1996-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 1, \"Reported % of deaths among cases\": 0.5, \"Country name\": \"South Africa\", \"Reported number of human cases\": 2, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1996-12-31\", \"Start date\": \"1996-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 45, \"Reported % of deaths among cases\": 0.74, \"Country name\": \"Gabon\", \"Reported number of human cases\": 60, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1997-01-31\", \"Start date\": \"1996-07-01\", \"Duration (days)\": 214}, {\"Reported number of deaths among cases\": 21, \"Reported % of deaths among cases\": 0.57, \"Country name\": \"Gabon\", \"Reported number of human cases\": 37, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1996-04-30\", \"Start date\": \"1996-01-01\", \"Duration (days)\": 120}, {\"Reported number of deaths among cases\": 250, \"Reported % of deaths among cases\": 0.81, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 315, \"Ebola subtype\": 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date\": \"1976-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 280, \"Reported % of deaths among cases\": 0.88, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 318, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1976-12-31\", \"Start date\": \"1976-01-01\", \"Duration (days)\": 365}]}};\n", "var selector = \"#8688cb4b-a38b-4de9-b5c3-861ee4f2f272\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "require(['nbextensions/jupyter-vega/index'], function(vega) {\n", " vega.render(selector, spec, type, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega": "#8688cb4b-a38b-4de9-b5c3-861ee4f2f272" }, "output_type": "display_data" }, { "data": { "image/png": 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}, "metadata": { "jupyter-vega": "#8688cb4b-a38b-4de9-b5c3-861ee4f2f272" }, "output_type": "display_data" } ], "source": [ "outbrks_time= Chart(outbrks_before_2014).mark_bar().encode(\n", " x=X('Start date:T',\n", " axis=Axis(\n", " title='time',\n", " ),\n", " ),\n", " x2='End date:T',\n", " y='Country name:N',\n", " color='Country name:N'\n", " )\n", "\n", "outbrks_time" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### From the recent outbreak in West Africa we all know the severity of it.\n", "### But how many cases were reported and how many people deceased in previous outbreaks?" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n" ] }, "metadata": { "jupyter-vega": "#447dd4b9-92bb-40fd-bc55-4a2856ff3efa" }, "output_type": "display_data" }, { "data": { "application/javascript": [ "var spec = {\"mark\": \"bar\", \"config\": {\"mark\": {\"color\": \"#f2b47b\"}, \"cell\": {\"height\": 350, \"width\": 500}}, \"encoding\": {\"y\": {\"type\": \"ordinal\", \"field\": \"Country name\"}, \"x\": {\"aggregate\": \"average\", \"type\": \"quantitative\", \"field\": \"Reported number of human cases\"}}, \"data\": {\"values\": [{\"Reported number of deaths among cases\": 3, \"Reported % of deaths among cases\": 0.5, \"Country name\": \"Uganda\", \"Reported number of human cases\": 6, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2013-01-31\", \"Start date\": \"2012-11-01\", \"Duration (days)\": 91}, {\"Reported number of deaths among cases\": 13, \"Reported % of deaths among cases\": 0.361, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 36, \"Ebola subtype\": 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{\"Reported number of deaths among cases\": 280, \"Reported % of deaths among cases\": 0.88, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 318, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1976-12-31\", \"Start date\": \"1976-01-01\", \"Duration (days)\": 365}]}};\n", "var selector = \"#447dd4b9-92bb-40fd-bc55-4a2856ff3efa\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "require(['nbextensions/jupyter-vega/index'], function(vega) {\n", " vega.render(selector, spec, type, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega": "#447dd4b9-92bb-40fd-bc55-4a2856ff3efa" }, "output_type": "display_data" }, { "data": { "image/png": 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" }, "metadata": { "jupyter-vega": "#447dd4b9-92bb-40fd-bc55-4a2856ff3efa" }, "output_type": "display_data" } ], "source": [ "cases = Chart(outbrks_before_2014).mark_bar(color='#f2b47b').encode(\n", " X('average(Reported number of human cases):Q'),\n", " Y('Country name:O') \n", ")\n", "\n", "cases" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n" ] }, "metadata": { "jupyter-vega": "#a89c4f65-e2e3-4c73-80f0-83565c9f813b" }, "output_type": "display_data" }, { "data": { "application/javascript": [ "var spec = {\"mark\": \"bar\", \"config\": {\"mark\": {\"color\": \"#aa4949\"}, \"cell\": {\"height\": 350, \"width\": 500}}, \"encoding\": {\"y\": {\"type\": \"ordinal\", \"field\": \"Country name\"}, \"x\": {\"aggregate\": \"average\", \"type\": \"quantitative\", \"field\": \"Reported number of deaths among cases\"}}, \"data\": {\"values\": [{\"Reported number of deaths among cases\": 3, \"Reported % of deaths among cases\": 0.5, \"Country name\": \"Uganda\", \"Reported number of human cases\": 6, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2013-01-31\", \"Start date\": \"2012-11-01\", \"Duration (days)\": 91}, {\"Reported number of deaths among cases\": 13, \"Reported % of deaths among cases\": 0.361, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 36, \"Ebola subtype\": \"Bundibugyo virus\", \"End date\": \"2012-11-30\", \"Start date\": \"2012-06-01\", \"Duration (days)\": 182}, {\"Reported number of deaths among cases\": 4, \"Reported % of deaths among cases\": 0.364, \"Country name\": \"Uganda\", \"Reported number of human cases\": 11, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2012-10-31\", \"Start date\": \"2012-06-01\", \"Duration (days)\": 152}, {\"Reported number of deaths among cases\": 1, \"Reported % of deaths among cases\": 1.0, \"Country name\": \"Uganda\", \"Reported number of human cases\": 1, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2011-05-01\", \"Start date\": \"2011-05-01\", \"Duration (days)\": 0}, {\"Reported number of deaths among cases\": 15, \"Reported % of deaths among cases\": 0.47, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 32, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"2009-02-28\", \"Start date\": \"2008-12-01\", \"Duration (days)\": 89}, {\"Reported number of deaths among cases\": 0, \"Reported % of deaths among cases\": 0.0, \"Country name\": \"Philippines\", \"Reported number of human cases\": 6, \"Ebola subtype\": \"Reston virus\", \"End date\": \"2008-11-01\", \"Start date\": \"2008-11-01\", \"Duration (days)\": 0}, {\"Reported number of deaths among cases\": 37, \"Reported % of deaths among cases\": 0.25, \"Country name\": \"Uganda\", \"Reported number of human cases\": 149, \"Ebola subtype\": \"Bundibugyo virus\", \"End date\": \"2008-01-31\", \"Start date\": \"2007-12-01\", \"Duration (days)\": 61}, {\"Reported number of deaths among cases\": 187, \"Reported % of deaths among cases\": 0.71, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 264, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"2007-12-31\", \"Start date\": \"2007-01-01\", \"Duration (days)\": 364}, {\"Reported number of deaths among cases\": 1, \"Reported % of deaths among cases\": 1.0, \"Country 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{\"Reported number of deaths among cases\": 280, \"Reported % of deaths among cases\": 0.88, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 318, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1976-12-31\", \"Start date\": \"1976-01-01\", \"Duration (days)\": 365}]}};\n", "var selector = \"#a89c4f65-e2e3-4c73-80f0-83565c9f813b\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "require(['nbextensions/jupyter-vega/index'], function(vega) {\n", " vega.render(selector, spec, type, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega": "#a89c4f65-e2e3-4c73-80f0-83565c9f813b" }, "output_type": "display_data" }, { "data": { "image/png": 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" }, "metadata": { "jupyter-vega": "#a89c4f65-e2e3-4c73-80f0-83565c9f813b" }, "output_type": "display_data" } ], "source": [ "deceased = Chart(outbrks_before_2014).mark_bar(color='#aa4949').encode(\n", " X('average(Reported number of deaths among cases):Q'),\n", " Y('Country name:O') \n", ")\n", "\n", "deceased" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### The two previous plots should be improved by normalising to the number of outbreak(s) in a country\n", "#### It's hard to conclude. Although the proportions of cases/deaths in Sudan seem disproportionate compared to the number of outbreaks (3, same as USA and less than Gabon)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### One of my main interest was to look for a link between a virus subtype and a severity of an outbreak" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n" ] }, "metadata": { "jupyter-vega": "#fa256d7f-04ac-47f3-a69f-b63fb97363fe" }, "output_type": "display_data" }, { "data": { "application/javascript": [ "var spec = {\"mark\": \"circle\", \"config\": {\"mark\": {\"color\": \"#f2b47b\"}, \"cell\": {\"height\": 350, \"width\": 500}}, \"encoding\": {\"y\": {\"type\": \"nominal\", \"field\": \"Country name\"}, \"x\": {\"type\": \"nominal\", \"field\": \"Ebola subtype\"}, \"size\": {\"aggregate\": \"average\", \"type\": \"quantitative\", \"field\": \"Reported number of human cases\"}}, \"data\": {\"values\": [{\"Reported number of deaths among cases\": 3, \"Reported % of deaths among cases\": 0.5, \"Country name\": \"Uganda\", \"Reported number of human cases\": 6, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2013-01-31\", \"Start date\": \"2012-11-01\", \"Duration (days)\": 91}, {\"Reported number of deaths among cases\": 13, \"Reported % of deaths among cases\": 0.361, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 36, \"Ebola subtype\": \"Bundibugyo virus\", \"End date\": \"2012-11-30\", \"Start date\": \"2012-06-01\", \"Duration (days)\": 182}, {\"Reported number of deaths among cases\": 4, \"Reported % of deaths among cases\": 0.364, \"Country name\": \"Uganda\", \"Reported number of human cases\": 11, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2012-10-31\", \"Start date\": \"2012-06-01\", \"Duration (days)\": 152}, {\"Reported number of deaths among cases\": 1, \"Reported % of deaths among cases\": 1.0, \"Country name\": \"Uganda\", \"Reported number of human cases\": 1, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2011-05-01\", \"Start date\": \"2011-05-01\", \"Duration (days)\": 0}, {\"Reported number of deaths among cases\": 15, \"Reported % of deaths among cases\": 0.47, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 32, \"Ebola subtype\": \"Zaire virus\", \"End date\": 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date\": \"1976-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 280, \"Reported % of deaths among cases\": 0.88, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 318, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1976-12-31\", \"Start date\": \"1976-01-01\", \"Duration (days)\": 365}]}};\n", "var selector = \"#fa256d7f-04ac-47f3-a69f-b63fb97363fe\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "require(['nbextensions/jupyter-vega/index'], function(vega) {\n", " vega.render(selector, spec, type, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega": "#fa256d7f-04ac-47f3-a69f-b63fb97363fe" }, "output_type": "display_data" }, { "data": { "image/png": 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" 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date\": \"1976-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 280, \"Reported % of deaths among cases\": 0.88, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 318, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1976-12-31\", \"Start date\": \"1976-01-01\", \"Duration (days)\": 365}]}};\n", "var selector = \"#df5d154f-a70d-4619-832e-f54cff631711\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "require(['nbextensions/jupyter-vega/index'], function(vega) {\n", " vega.render(selector, spec, type, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega": "#df5d154f-a70d-4619-832e-f54cff631711" }, "output_type": "display_data" }, { "data": { "image/png": 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3nsPmuvicqW2pkSRJ0gSVhs2ZFfaloe0h4IvAc8CDwFGZ5/QDt8R9TwBfB2aUvT4b+m4FngX+k3Bbzc8CW1Uoe3tgKfAM8GJ87ifivn3icW+L65Pj+roG6/0wo1tzr4w/++Nz9o7rv8gcbxXwVWBDhfPwbuCXsazfApfH9yBJkjShVepGnx/3zcxs+yrwSULw2wjsAuwPbCLcAvN04BvxuVeXvT4bNj8FHAMcAXw37j+xQr0+FPctjM89Dfhw3JeGzV/F9Wphs1q93xsfDwMfAN4PvDGuD8VjnB/XTy073t8B7yOEyvR4+wF/IATp44BPZ8qWJEma0NKw+QXgH+LyZ3FfGrKepNT6mAbEY4CPxcf/FPdNIYS6FwkBsDxsbkto8XsY+B0hqA4Dl1ao1zvjvieAQUJI3SPuS8PmLXG9WtisVm+o3I3+03g+9gDuI7RgTs0c77eZ5xYzxzsnPn4pvj49p6sqvC9JkqQJpZFu9GxoG2LsYfNMSi2frwUuiOuLqtTtUOAiQth8iRBSAWbH1y2P67tRP2xm6w2wltFhM4nbro0/P192vKczx/seo8PmFcABmeV1Vd6XJEnShFHpAqFT477y7uhzGdkd/RpK3eh/DSyOzx0se30aNtNQdiXwp4Qxl9XC5jsJXdlz4rIe+A9C2NsW+D2h6/pkwtjOWt3o5fUGuCfuPwc4OlPuXZnX7l/heP+H0d3yr4l12UAYgnB8PJ92o0uSpAmv0pjNa+O+7IU2lxMC30NUvkDoeUI3c60LhF4GXAe8ANxN6aKcSmHzMODXhLGRmwjh8H2Z/X8JPEUImBdR/QKhavU+lVJXenZM6V/Ebcsy2xo53rsJFxP9Ltb518AHK7wvSZIkTVBvBb5CCJbzMts7NYWTJEmSxpF1hO75LzNyOibDpiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkqQ6/n8thYJtvO904AAAAABJRU5ErkJggg==" }, "metadata": { "jupyter-vega": "#df5d154f-a70d-4619-832e-f54cff631711" }, "output_type": "display_data" } ], "source": [ "Chart(outbrks_before_2014).mark_circle(color='#aa4949').encode(\n", " size='average(Reported number of deaths among cases):Q',\n", " x=X('Ebola subtype:N'),\n", " y=Y('Country name:N'),\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Once again, forgot to normalise by the number of outbreak(s). So it's hard to conclude.\n", "#### We can just tell that the Reston virus subtype is the less severe." ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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\"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 280, \"Reported % of deaths among cases\": 0.88, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 318, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1976-12-31\", \"Start date\": \"1976-01-01\", \"Duration (days)\": 365}]}};\n", "var selector = \"#3ced10bb-5ea1-4bd2-9265-3a7cd039cd1d\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "require(['nbextensions/jupyter-vega/index'], function(vega) {\n", " vega.render(selector, spec, type, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega": "#3ced10bb-5ea1-4bd2-9265-3a7cd039cd1d" }, "output_type": "display_data" }, { "data": { "image/png": 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" }, "metadata": { "jupyter-vega": "#3ced10bb-5ea1-4bd2-9265-3a7cd039cd1d" }, "output_type": "display_data" } ], "source": [ "cases_deaths_virus = Chart(outbrks_before_2014).mark_point().encode(\n", " color='Ebola subtype:N',\n", " x='Reported number of human cases:Q',\n", " y='Reported number of deaths among cases:Q',\n", ")\n", "\n", "cases_deaths_virus" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Unsurprisingly most outbreaks show a correlation between number of cases and number of deaths.\n", "#### Will add zoom with Vega-Lite to make it easier to spot the Reston virus seemingly leading to less cases or deaths." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n" ] }, "metadata": { "jupyter-vega": "#dc5e1f10-2ccf-41e3-8852-fb56806c5aba" }, "output_type": "display_data" }, { "data": { "application/javascript": [ "var spec = {\"mark\": \"circle\", \"config\": {\"cell\": {\"height\": 350, \"width\": 500}}, \"encoding\": {\"color\": {\"type\": \"nominal\", \"field\": \"Country name\"}, \"y\": {\"type\": \"nominal\", \"field\": \"Country name\"}, \"x\": {\"type\": \"nominal\", \"field\": \"Ebola subtype\"}, \"size\": {\"aggregate\": \"average\", \"type\": \"quantitative\", \"field\": \"Reported number of deaths among cases\"}}, \"data\": {\"values\": [{\"Reported number of deaths among cases\": 3, \"Reported % of deaths among cases\": 0.5, \"Country name\": \"Uganda\", \"Reported number of human cases\": 6, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2013-01-31\", \"Start date\": \"2012-11-01\", \"Duration (days)\": 91}, {\"Reported number of deaths among cases\": 13, \"Reported % of deaths among cases\": 0.361, \"Country 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virus\", \"End date\": \"1976-12-31\", \"Start date\": \"1976-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 280, \"Reported % of deaths among cases\": 0.88, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 318, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1976-12-31\", \"Start date\": \"1976-01-01\", \"Duration (days)\": 365}]}};\n", "var selector = \"#dc5e1f10-2ccf-41e3-8852-fb56806c5aba\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "require(['nbextensions/jupyter-vega/index'], function(vega) {\n", " vega.render(selector, spec, type, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega": "#dc5e1f10-2ccf-41e3-8852-fb56806c5aba" }, "output_type": "display_data" }, { "data": { "image/png": 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" }, "metadata": { "jupyter-vega": "#dc5e1f10-2ccf-41e3-8852-fb56806c5aba" }, "output_type": "display_data" } ], "source": [ "Chart(outbrks_before_2014).mark_circle().encode(\n", " size='average(Reported number of deaths among cases):Q',\n", " x=X('Ebola subtype:N'),\n", " y=Y('Country name:N'),\n", " color='Country name:N'\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Amongst the most impacted countries Sudan and Gabon have people infected by the same virus suptype, while DRC and Uganda saw two types of viruses.\n", "### Some of the countries share borders (DRC, Uganda and Sudan) but not necessarily the same virus subtype. Let's check when those outbreaks occured." ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": true }, "outputs": [], "source": [ "df_uganda = outbrks_before_2014[outbrks_before_2014[\"Country name\"] == \"Uganda\"]" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n" ] }, "metadata": { "jupyter-vega": "#b8b131f8-6e64-4b03-8083-23f14017047e" }, "output_type": "display_data" }, { "data": { "application/javascript": [ "var spec = {\"mark\": \"bar\", \"config\": {\"cell\": {\"height\": 350, \"width\": 500}}, \"encoding\": {\"x2\": {\"type\": \"temporal\", \"field\": \"End date\"}, \"color\": {\"type\": \"nominal\", \"field\": \"Ebola subtype\"}, \"y\": {\"type\": \"nominal\", \"field\": \"Ebola subtype\"}, \"x\": {\"axis\": {\"title\": \"time\"}, \"type\": \"temporal\", \"field\": \"Start date\"}}, \"data\": {\"values\": [{\"Reported number of deaths among cases\": 3, \"Reported % of deaths among cases\": 0.5, \"Country name\": \"Uganda\", \"Reported number of human cases\": 6, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2013-01-31\", \"Start date\": \"2012-11-01\", \"Duration (days)\": 91}, {\"Reported number of deaths among cases\": 4, \"Reported % of deaths among cases\": 0.364, \"Country name\": \"Uganda\", \"Reported number of human cases\": 11, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2012-10-31\", \"Start date\": \"2012-06-01\", \"Duration (days)\": 152}, {\"Reported number of deaths among cases\": 1, \"Reported % of deaths among cases\": 1.0, \"Country name\": \"Uganda\", \"Reported number of human cases\": 1, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2011-05-01\", \"Start date\": \"2011-05-01\", \"Duration (days)\": 0}, {\"Reported number of deaths among cases\": 37, \"Reported % of deaths among cases\": 0.25, \"Country name\": \"Uganda\", \"Reported number of human cases\": 149, \"Ebola subtype\": \"Bundibugyo virus\", \"End date\": \"2008-01-31\", \"Start date\": \"2007-12-01\", \"Duration (days)\": 61}, {\"Reported number of deaths among cases\": 224, \"Reported % of deaths among cases\": 0.53, \"Country name\": \"Uganda\", \"Reported number of human cases\": 425, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2001-12-31\", \"Start date\": \"2000-01-01\", \"Duration (days)\": 730}]}};\n", "var selector = \"#b8b131f8-6e64-4b03-8083-23f14017047e\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "require(['nbextensions/jupyter-vega/index'], function(vega) {\n", " vega.render(selector, spec, type, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega": "#b8b131f8-6e64-4b03-8083-23f14017047e" }, "output_type": "display_data" }, { "data": { "image/png": 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" }, "metadata": { "jupyter-vega": "#b8b131f8-6e64-4b03-8083-23f14017047e" }, "output_type": "display_data" } ], "source": [ "Chart(df_uganda).mark_bar().encode(\n", " x=X('Start date:T',\n", " axis=Axis(\n", " title='time',\n", " ),\n", " ),\n", " x2='End date:T',\n", " y='Ebola subtype:N',\n", " color='Ebola subtype:N'\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### This look at the Ugandan outbreaks remind me I should plot the number of cases/deaths and normalise by the duration of the outbreaks." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n" ] }, "metadata": { "jupyter-vega": "#b453f4e4-92c9-4be9-8295-7fe9b926603b" }, "output_type": "display_data" }, { "data": { "application/javascript": [ "var spec = {\"mark\": \"bar\", \"config\": {\"cell\": {\"height\": 350, \"width\": 500}}, \"encoding\": {\"x2\": {\"type\": \"temporal\", \"field\": \"End date\"}, \"color\": {\"type\": \"nominal\", \"field\": \"Ebola subtype\"}, \"y\": {\"type\": \"nominal\", \"field\": \"Country name\"}, \"x\": {\"axis\": {\"title\": \"time\"}, \"type\": \"temporal\", \"field\": \"Start date\"}}, \"data\": {\"values\": [{\"Reported number of deaths among cases\": 3, \"Reported % of deaths among cases\": 0.5, \"Country name\": \"Uganda\", \"Reported number of human cases\": 6, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2013-01-31\", \"Start date\": \"2012-11-01\", \"Duration (days)\": 91}, {\"Reported number of deaths among cases\": 13, \"Reported % of deaths among cases\": 0.361, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 36, \"Ebola subtype\": \"Bundibugyo virus\", \"End date\": \"2012-11-30\", \"Start date\": \"2012-06-01\", \"Duration (days)\": 182}, {\"Reported number of deaths among cases\": 4, \"Reported % of deaths among cases\": 0.364, \"Country name\": \"Uganda\", \"Reported number of human cases\": 11, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2012-10-31\", \"Start date\": \"2012-06-01\", \"Duration (days)\": 152}, {\"Reported number of deaths among cases\": 1, \"Reported % of deaths among cases\": 1.0, \"Country name\": \"Uganda\", \"Reported number of human cases\": 1, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2011-05-01\", \"Start date\": \"2011-05-01\", \"Duration (days)\": 0}, {\"Reported number of deaths among cases\": 15, \"Reported % of deaths among cases\": 0.47, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 32, \"Ebola subtype\": \"Zaire virus\", \"End date\": 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of the Congo\", \"Reported number of human cases\": 143, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"2003-04-30\", \"Start date\": \"2002-12-01\", \"Duration (days)\": 150}, {\"Reported number of deaths among cases\": 43, \"Reported % of deaths among cases\": 0.75, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 57, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"2002-03-31\", \"Start date\": \"2001-10-01\", \"Duration (days)\": 181}, {\"Reported number of deaths among cases\": 53, \"Reported % of deaths among cases\": 0.82, \"Country name\": \"Gabon\", \"Reported number of human cases\": 65, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"2002-03-31\", \"Start date\": \"2001-10-01\", \"Duration (days)\": 181}, {\"Reported number of deaths among cases\": 224, \"Reported % of deaths among cases\": 0.53, \"Country name\": \"Uganda\", \"Reported number of human cases\": 425, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2001-12-31\", \"Start date\": \"2000-01-01\", \"Duration (days)\": 730}, {\"Reported number of deaths among cases\": 1, \"Reported % of deaths among cases\": 1.0, \"Country name\": \"Russia\", \"Reported number of human cases\": 1, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1996-12-31\", \"Start date\": \"1996-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 0, \"Reported % of deaths among cases\": 0.0, \"Country name\": \"Philippines\", \"Reported number of human cases\": 0, \"Ebola subtype\": \"Reston virus\", \"End date\": \"1996-12-31\", \"Start date\": \"1996-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 0, \"Reported % of deaths among cases\": 0.0, \"Country name\": \"USA\", \"Reported number of human cases\": 0, \"Ebola subtype\": \"Reston virus\", \"End date\": \"1996-12-31\", \"Start date\": \"1996-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 1, \"Reported % of deaths among cases\": 0.5, \"Country name\": \"South Africa\", \"Reported number of human cases\": 2, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1996-12-31\", \"Start date\": \"1996-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 45, \"Reported % of deaths among cases\": 0.74, \"Country name\": \"Gabon\", \"Reported number of human cases\": 60, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1997-01-31\", \"Start date\": \"1996-07-01\", \"Duration (days)\": 214}, {\"Reported number of deaths among cases\": 21, \"Reported % of deaths among cases\": 0.57, \"Country name\": \"Gabon\", \"Reported number of human cases\": 37, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1996-04-30\", \"Start date\": \"1996-01-01\", \"Duration (days)\": 120}, {\"Reported number of deaths among cases\": 250, \"Reported % of deaths among cases\": 0.81, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 315, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1995-12-31\", \"Start date\": \"1995-01-01\", \"Duration (days)\": 364}, {\"Reported number of deaths among cases\": 0, \"Reported % of deaths among cases\": 0.0, \"Country name\": \"C\\u00f4te d'Ivoire (Ivory Coast)\", \"Reported number of human cases\": 1, \"Ebola subtype\": \"Ta\\u00ef Forest virus\", \"End date\": \"1994-12-31\", \"Start date\": \"1994-01-01\", \"Duration (days)\": 364}, {\"Reported number of deaths among cases\": 31, \"Reported % of deaths among cases\": 0.6, \"Country name\": \"Gabon\", \"Reported number of human cases\": 52, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1994-12-31\", \"Start date\": \"1994-01-01\", \"Duration (days)\": 364}, {\"Reported number of deaths among cases\": 0, \"Reported % of deaths among cases\": 0.0, \"Country name\": \"Italy\", \"Reported number of human cases\": 0, \"Ebola subtype\": \"Reston virus\", \"End date\": \"1992-12-31\", \"Start date\": \"1992-01-01\", \"Duration (days)\": 365}, 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number of human cases\": 34, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"1979-12-31\", \"Start date\": \"1979-01-01\", \"Duration (days)\": 364}, {\"Reported number of deaths among cases\": 1, \"Reported % of deaths among cases\": 1.0, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 1, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1977-12-31\", \"Start date\": \"1977-01-01\", \"Duration (days)\": 364}, {\"Reported number of deaths among cases\": 0, \"Reported % of deaths among cases\": 0.0, \"Country name\": \"England\", \"Reported number of human cases\": 1, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"1976-12-31\", \"Start date\": \"1976-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 151, \"Reported % of deaths among cases\": 0.53, \"Country name\": \"Sudan (South Sudan)\", \"Reported number of human cases\": 284, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"1976-12-31\", \"Start date\": \"1976-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 280, \"Reported % of deaths among cases\": 0.88, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 318, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1976-12-31\", \"Start date\": \"1976-01-01\", \"Duration (days)\": 365}]}};\n", "var selector = \"#b453f4e4-92c9-4be9-8295-7fe9b926603b\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "require(['nbextensions/jupyter-vega/index'], function(vega) {\n", " vega.render(selector, spec, type, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega": "#b453f4e4-92c9-4be9-8295-7fe9b926603b" }, "output_type": "display_data" }, { "data": { "image/png": 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" }, "metadata": { "jupyter-vega": "#b453f4e4-92c9-4be9-8295-7fe9b926603b" }, "output_type": "display_data" } ], "source": [ "Chart(outbrks_before_2014).mark_bar().encode(\n", " x=X('Start date:T',\n", " axis=Axis(\n", " title='time',\n", " ),\n", " ),\n", " x2='End date:T',\n", " y='Country name:N',\n", " color='Ebola subtype:N'\n", " )\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Assuming outbreaks happening at the same period and due to the same virus subtype are due to people travelling and carrying the virus, this doesn't seem to impact nearby countries. The road networks might be better controlled than the airports." ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n" ] }, "metadata": { "jupyter-vega": "#a2e14abd-010c-4ef6-8263-9cf3032693bb" }, "output_type": "display_data" }, { "data": { "application/javascript": [ "var spec = {\"mark\": \"circle\", \"config\": {\"cell\": {\"height\": 350, \"width\": 500}}, \"encoding\": {\"x2\": {\"type\": \"temporal\", \"field\": \"End date\"}, \"color\": {\"type\": \"nominal\", \"field\": \"Ebola subtype\"}, \"y\": {\"type\": \"nominal\", \"field\": \"Country name\"}, \"x\": {\"axis\": {\"title\": \"time\"}, \"type\": \"temporal\", \"field\": \"Start date\"}, \"size\": {\"aggregate\": \"average\", \"type\": \"quantitative\", \"field\": \"Reported number of deaths among cases\"}}, \"data\": {\"values\": [{\"Reported number of deaths among cases\": 3, \"Reported % of deaths among cases\": 0.5, \"Country name\": \"Uganda\", \"Reported number of human cases\": 6, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"2013-01-31\", \"Start date\": \"2012-11-01\", \"Duration (days)\": 91}, {\"Reported 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Sudan)\", \"Reported number of human cases\": 284, \"Ebola subtype\": \"Sudan virus\", \"End date\": \"1976-12-31\", \"Start date\": \"1976-01-01\", \"Duration (days)\": 365}, {\"Reported number of deaths among cases\": 280, \"Reported % of deaths among cases\": 0.88, \"Country name\": \"Democratic Republic of the Congo\", \"Reported number of human cases\": 318, \"Ebola subtype\": \"Zaire virus\", \"End date\": \"1976-12-31\", \"Start date\": \"1976-01-01\", \"Duration (days)\": 365}]}};\n", "var selector = \"#a2e14abd-010c-4ef6-8263-9cf3032693bb\";\n", "var type = \"vega-lite\";\n", "\n", "var output_area = this;\n", "require(['nbextensions/jupyter-vega/index'], function(vega) {\n", " vega.render(selector, spec, type, output_area);\n", "}, function (err) {\n", " if (err.requireType !== 'scripterror') {\n", " throw(err);\n", " }\n", "});\n" ] }, "metadata": { "jupyter-vega": "#a2e14abd-010c-4ef6-8263-9cf3032693bb" }, "output_type": "display_data" }, { "data": { "image/png": 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}, "metadata": { "jupyter-vega": "#a2e14abd-010c-4ef6-8263-9cf3032693bb" }, "output_type": "display_data" } ], "source": [ "deaths_virus_time = Chart(outbrks_before_2014).mark_circle().encode(\n", " size='average(Reported number of deaths among cases):Q',\n", " x=X('Start date:T',\n", " axis=Axis(\n", " title='time',\n", " ),\n", " ),\n", " x2='End date:T',\n", " y='Country name:N',\n", " color='Ebola subtype:N'\n", " )\n", "\n", "deaths_virus_time" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "#### From this dataset: \n", "* the countries the most impacted are DRC, Gabon, Sudan and Uganda. This makes sense as they're the ones that contain natural reservoirs of the virus hosts (bats)\n", "* the Zaire virus seems to be linked to the more outbreaks and cases/deaths, followed by the Sudan virus" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Extra information:\n", "* the Ebola virus was first discovered in **1976**\n", "* **2014-2016 outbreak** in West Africa (Guinea, Sierra Leone and Liberia)\n", "* this latest outbreaks was due to the **Zaire virus**\n", "* it was the largest and more complex and spread across borders\n", "* it led to more cases and deaths than all previous outbreaks combined:\n", "**28,637 reported cases** and **11,315 deaths**\n", "\n", "sources: WHO (who.int/mediacentre/factsheets/fs103/en/), BBC (bbc.com/news/world-africa-28755033)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### More questions:\n", "* Why is it going worse over time?\n", "* Is the reservoir of the virus expanding? Climate change or deforestation?\n", "* Should efforts be focused on the Zaire virus?" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "____" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Let's prepare our web visualisation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### As I aim for an interactive visualisation I'll be \"cheating\" here and creating json in Vega-Lite format that I'll add to an html template" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [], "source": [ "import json\n", "\n", "# Fix to add to each plot\n", "fix = {\"$schema\": \"https://vega.github.io/schema/vega-lite/v2.0.json\",\n", " \"description\": \"A simple bar chart with embedded data.\"}\n", "\n", "# Add brush\n", "brush = {\"selection\": {\"brush\": {\"type\": \"interval\"}}}\n", "\n", "# Add paintbrush\n", "paintbrush = {\"selection\": {\"paintbrush\": {\n", " \"type\": \"multi\", \"on\": \"mouseover\",\n", " \"nearest\": True}}}\n", "# for a paintbrush add size into `encoding`\n", "size = {\"condition\": {\"selection\": \"paintbrush\", \"value\": 300},\n", " \"value\": 50}\n", "\n", "# For zoom capacity\n", "zoom = {\"selection\": { \"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}}" ] }, { "cell_type": "code", "execution_count": 55, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def from_dict_to_json(data_dict, add_on, interact):\n", " #remove the data key/value from the plot info\n", " data_dict.pop(\"data\", None)\n", " data_dict.update(add_on)\n", " data_dict.update(interact)\n", " return json.dumps(data_dict)" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [], "source": [ "num_outbrks_dict = num_outbrks.to_dict()\n", "\n", "outbrks_data_json = json.dumps(num_outbrks_dict[\"data\"])" ] }, { "cell_type": "code", "execution_count": 69, "metadata": {}, "outputs": [], "source": [ "with open(\"data_for_viz.json\", \"w\") as outfile:\n", " outfile.write(outbrks_data_json)" ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'{\"mark\": \"bar\", \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.0.json\", \"encoding\": {\"y\": {\"type\": \"ordinal\", \"field\": \"Country name\"}, \"x\": {\"axis\": {\"title\": \"Number of outbreaks\"}, \"aggregate\": \"count\", \"type\": \"quantitative\", \"field\": \"*\"}}, \"description\": \"A simple bar chart with embedded data.\", \"selection\": {\"brush\": {\"type\": \"interval\"}}}'" ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Plot 1 - outbreaks/country\n", "from_dict_to_json(num_outbrks_dict, fix, brush)" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'{\"mark\": \"bar\", \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.0.json\", \"encoding\": {\"y\": {\"type\": \"nominal\", \"field\": \"Country name\"}, \"color\": {\"type\": \"nominal\", \"field\": \"Country name\"}, \"x2\": {\"type\": \"temporal\", \"field\": \"End date\"}, \"x\": {\"axis\": {\"title\": \"time\"}, \"type\": \"temporal\", \"field\": \"Start date\"}}, \"description\": \"A simple bar chart with embedded data.\", \"selection\": {\"grid\": {\"bind\": \"scales\", \"type\": \"interval\"}}}'" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Plot 2 - outbreaks over time\n", "from_dict_to_json(outbrks_time.to_dict(), fix, zoom)" ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'{\"mark\": \"point\", \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.0.json\", \"selection\": {\"grid\": {\"bind\": \"scales\", \"type\": \"interval\"}}, \"encoding\": {\"color\": {\"type\": \"nominal\", \"field\": \"Ebola subtype\"}, \"y\": {\"type\": \"quantitative\", \"field\": \"Reported number of deaths among cases\"}, \"x\": {\"type\": \"quantitative\", \"field\": \"Reported number of human cases\"}, \"size\": {\"value\": 50, \"condition\": {\"value\": 300, \"selection\": \"paintbrush\"}}}, \"description\": \"A simple bar chart with embedded data.\"}'" ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Plot 3 - cases vs deaths per virus subtype\n", "cases_deaths_virus_dict = cases_deaths_virus.to_dict()\n", "cases_deaths_virus_dict[\"encoding\"][\"size\"] = size\n", "cases_deaths_virus_dict.update(paintbrush)\n", "from_dict_to_json(cases_deaths_virus_dict, fix, zoom)" ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'{\"mark\": \"circle\", \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.0.json\", \"encoding\": {\"y\": {\"type\": \"nominal\", \"field\": \"Country name\"}, \"color\": {\"type\": \"nominal\", \"field\": \"Ebola subtype\"}, \"x2\": {\"type\": \"temporal\", \"field\": \"End date\"}, \"x\": {\"axis\": {\"title\": \"time\"}, \"type\": \"temporal\", \"field\": \"Start date\"}, \"size\": {\"aggregate\": \"average\", \"type\": \"quantitative\", \"field\": \"Reported number of deaths among cases\"}}, \"description\": \"A simple bar chart with embedded data.\", \"selection\": {\"grid\": {\"bind\": \"scales\", \"type\": \"interval\"}}}'" ] }, "execution_count": 63, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Plot 4 - number of outbreaks\n", "from_dict_to_json(deaths_virus_time.to_dict(), fix, zoom)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "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": "3.4.3" } }, "nbformat": 4, "nbformat_minor": 1 }