remove deprecated recovered cases (closes #57)

boogheta · boogheta · commit 2e8351cd67f5 · 2021-08-27T15:39:31.000+02:00
as a consequence of CSSEGISandData/COVID-19#4465
diff --git a/bin/export-main-countries.py b/bin/export-main-countries.py
@@ -254,7 +254,8 @@ def unit_vals(ndates, fieldnames, population=0):
         #fields.append("tested")
         pass
     elif name != "Canada":
-        fields += ["recovered", "currently_sick"]
+        pass
+        #fields += ["recovered", "currently_sick"]
     scope["values"] = {"total": unit_vals(n_dates, fields)}
     scope["lastUpdate"] = last_usa_update if name == "USA" else last_jhu_update
 
diff --git a/data/coronavirus-countries.json b/data/coronavirus-countries.json
diff --git a/index.html b/index.html
@@ -14,13 +14,13 @@
   <meta property="og:type" content="website" />
   <meta property="og:url" content="https://boogheta.github.io/coronavirus-countries/" />
   <meta property="og:image" content="https://boogheta.github.io/coronavirus-countries/img/screenshotv2.png"/>
-  <meta property="og:description" content="Compare the spread of the COVID-19 coronavirus in all countries by numbers of confirmed, recovered and deceased ones as reported by JHU CSSE and different countries"/>
+  <meta property="og:description" content="Compare the spread of the COVID-19 coronavirus in all countries by numbers of confirmed and deceased ones as reported by JHU CSSE and different countries"/>
 
   <meta name="twitter:card" content="summary_large_image">
   <meta name="twitter:site" content="@boogheta">
   <meta name="twitter:creator" content="@boogheta">
   <meta name="twitter:title" content="Coronavirus country comparator">
-  <meta name="twitter:description" content="Compare the spread of the COVID-19 coronavirus in all countries by numbers of confirmed, recovered and deceased ones as reported by JHU CSSE and different countries">
+  <meta name="twitter:description" content="Compare the spread of the COVID-19 coronavirus in all countries by numbers of confirmed and deceased ones as reported by JHU CSSE and different countries">
   <meta name="twitter:image" content="https://boogheta.github.io/coronavirus-countries/img/screenshotv2.png">
  </head>
  <body>
@@ -337,15 +337,15 @@
           This <i>datascape</i> application was initially built on top of the <a href="https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series" target="_blank">data openly released daily</a> by the <a href="https://systems.jhu.edu/" target="_blank">Center for Systems Science and Engineering (CSSE)</a> at Johns Hopkins University (JHU) for the <a href="https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6" target="_blank">great dashboard</a> they built.<br/>
           It now also features data from a variety of national sources (France, Germant, Italy, Spain and UK).
         </v-card-text>
-        <v-card-text><b>WARNING:</b> Data is based on figures officially reported by countries and international organisations with various counting methods. It should therefore be considered with caution: they shall not reflect exact figures and can only be considered as minimum values.<br/><b>Confirmed</b> and <b>recovered</b> cases depend on the number of tests performed which can vary widely from one country to another; researchers estimate that it might only reflect between 10 and 50&nbsp;% of the number of actually infected people.<br/><b>Deceased</b> cases should also only be considered as minimum values, as a variety of casualties consecutive to the virus might not be accounted accurately. For instance France's dataset only includes deceased cases reported by hospitals.<br/><b>Currently sick</b> cases are an estimate built by substracting recovered and deceased cases to confirmed ones when all of these are available.<br/>Some datasets for specific countries like Canada, Germany, or the USA only include confirmed and deceased cases. Others such as France, Italy or Spain can include other counts among <b>tested</b>, <b>hospitalized</b> and <b>intensive care</b>.</v-card-text>
+        <v-card-text><b>WARNING:</b> Data is based on figures officially reported by countries and international organisations with various counting methods. It should therefore be considered with caution: they shall not reflect exact figures and can only be considered as minimum values.<br/><b>Confirmed</b> cases depend on the number of tests performed which can vary widely from one country to another; researchers estimate that it might only reflect between 10 and 50&nbsp;% of the number of actually infected people.<br/><b>Deceased</b> cases should also only be considered as minimum values, as a variety of casualties consecutive to the virus might not be accounted accurately. For instance France's dataset only includes deceased cases reported by hospitals.<br/><b>Recovered</b> and <b>active cases</b> are not proposed anymore since they were never very reliable and were consequently <a href="https://github.com/CSSEGISandData/COVID-19/issues/4465" target="_blank">dropped by JHU on Aug 12th, 2021</a>.<br/>Some datasets for specific countries like Canada, Germany, or the USA only include confirmed and deceased cases. Others such as France, Italy or Spain can include other counts among <b>tested</b>, <b>hospitalized</b>, <b>intensive care</b> or even <b>vaccinated (fully or once)</b>.</v-card-text>
         <v-card-text><b>Features:</b><ul>
           <li>Hover the legend to focus a specific curve.</li>
           <li>Hover the plot to read each curve's values at specific dates inside the legend.</li>
           <li>Use the mouse wheel or the slider between the graph and the legend to zoom or unzoom on specific time periods.</li>
           <li>Adjust the scale to <b>linear</b>, <b>logarithmic</b> or <b>daily</b> to visualize cumulative values since the beginning of the epidemy, tendencies or everyday evolution.</li>
           <li>Switch between total <b>absolute values</b> or <b>population ratio</b> by million inhabitants to compare the penetration rate of the disease in the population.</li>
           <li>Select <b>series</b> to compare tendencies for each selected place. Switch to <b>stacked</b> to measure how each place contribute to the bigger picture. Or switch to <b>multiples</b> to see all curves separated.</li>
-          <li>In series mode with a daily scale, use the <v-icon>vertical_align_center</v-icon> button to smooth the curves by using a 7 days moving average (and attenuate week-ends' lower reporting effects).</li>
+          <li>In series mode with a daily scale, use the <v-icon>vertical_align_center</v-icon> button to smooth the curves by using a 7 days moving average (and attenuate week-ends' lower reporting effects). This mode also allows to force the vertical axis to start at 0 and hide negative values by clicking the <v-icon>remove_circle_outline</v-icon> button.</li>
           <li>Choose to compare all the World's countries or all regions/provinces/states of some main countries. Use the <v-icon>done_all</v-icon> icon to select all places at once.</li>
           <li>Use <b>Align to</b> in series mode to select a place and see how others fit with a few days delay. Regression is calculated as the mean delay between the number of confirmed or deceased cases in the considered country compared to the reference one during the 30 days following the reach of 10 deceased cases (or 20 days and 50 cases when aligning on confirmed).</li>
           <li>You can also select <b>after 10<sup>th</sup> deceased case</b> (or 50<sup>th</sup> confirmed) in the <b>Align to</b> menu to align all curves to a same "zero day".</li>
