Merge pull request #36 from cmu-delphi/survey-2

Fix JHU problem in survey blog post

Author: capnrefsmmat

content/post/2020-08-28-api.Rmd

@@ -15,18 +15,18 @@ knitr::opts_chunk$set(collapse = TRUE)
 One of our primary initiatives at the Delphi COVIDcast project
 has been to curate a diverse set of COVID-related data streams,
 and to make them freely available through our
-[COVIDcast Epidata API](https://cmu-delphi.github.io/delphi-epidata/api/covidcast.html).
+COVIDcast Epidata API.
 These include both novel signals that we have collected and analyzed ourselves,
-such as our symptom survey [distributed by Facebook](https://delphi.cmu.edu/blog/2020/08/26/covid-19-symptom-surveys-through-facebook/)
-to its users, [Google's symptom survey](https://delphi.cmu.edu/blog/2020/09/18/covid-19-symptom-surveys-through-google/) whose results are delivered to us,
+such as our symptom survey distributed by Facebook
+to its users, Google's symptom survey whose results are delivered to us,
 the percentage of doctor's visits due to COVID-like illness,
 and results from Quidel's antigen tests;
 and also existing signals, such as the confirmed case counts
 and deaths reported by USA Facts and Johns Hopkins University.
 The COVIDcast API freely provides researchers and decision-makers
 with the data they need to conduct their work, and
-is conveniently accessible via easy-to-use [Python](https://cmu-delphi.github.io/covidcast/covidcast-py/html/)
-and [R](https://cmu-delphi.github.io/covidcast/covidcastR/) packages.
+is conveniently accessible via easy-to-use Python
+and R packages.
 
 <!--more-->
 

content/post/2020-10-06-survey-wave-4.Rmd

@@ -157,7 +157,7 @@ library(ggrepel)
 library(dplyr)
 library(plotly)
 
-case_rates <- covidcast_signal("jhu-csse", "confirmed_7dav_incidence_prop",
+case_rates <- covidcast_signal("usa-facts", "confirmed_7dav_incidence_prop",
                                start_day = end_day, end_day = end_day,
                                geo_type = "state")
 
@@ -384,6 +384,12 @@ reopening.
 details, see [our surveys page](https://covidcast.cmu.edu/surveys.html). For
 updates, you can follow [CmuDelphi on Twitter](https://twitter.com/cmudelphi).*
 
+**Note.** *This post was updated on October 17, 2020 to correct an error in the
+scatterplot of mask usage and reported case rates. An error in our data
+processing system meant our reported case rates were half the size they should
+have been. This did not affect the trend in the scatterplot, only the scale of
+the X axis.*
+
 **Acknowledgments.** *Many items in Wave 4 of our survey are based on work by
 the team at the Joint Program in Survey Methodology at the University of
 Maryland led by Frauke Kreuter; Adrianne Bradford and Samantha Chiu helped

public/2020/10/12/new-and-improved-covid-symptom-survey-tracks-testing-and-mask-wearing/index.html

@@ -166,18 +166,18 @@ <h1>
 <p>One of our primary initiatives at the Delphi COVIDcast project
 has been to curate a diverse set of COVID-related data streams,
 and to make them freely available through our
-<a href="https://cmu-delphi.github.io/delphi-epidata/api/covidcast.html">COVIDcast Epidata API</a>.
+COVIDcast Epidata API.
 These include both novel signals that we have collected and analyzed ourselves,
-such as our symptom survey <a href="https://delphi.cmu.edu/blog/2020/08/26/covid-19-symptom-surveys-through-facebook/">distributed by Facebook</a>
-to its users, <a href="https://delphi.cmu.edu/blog/2020/09/18/covid-19-symptom-surveys-through-google/">Google’s symptom survey</a> whose results are delivered to us,
+such as our symptom survey distributed by Facebook
+to its users, Google’s symptom survey whose results are delivered to us,
 the percentage of doctor’s visits due to COVID-like illness,
 and results from Quidel’s antigen tests;
 and also existing signals, such as the confirmed case counts
 and deaths reported by USA Facts and Johns Hopkins University.
 The COVIDcast API freely provides researchers and decision-makers
 with the data they need to conduct their work, and
-is conveniently accessible via easy-to-use <a href="https://cmu-delphi.github.io/covidcast/covidcast-py/html/">Python</a>
-and <a href="https://cmu-delphi.github.io/covidcast/covidcastR/">R</a> packages.</p>
+is conveniently accessible via easy-to-use Python
+and R packages.</p>
 
 
             <p><a href="/blog/2020/10/07/accessing-open-covid-19-data-via-the-covidcast-epidata-api/">Read more...</a></p>

public/index.html

@@ -32,18 +32,18 @@
 <p>One of our primary initiatives at the Delphi COVIDcast project
 has been to curate a diverse set of COVID-related data streams,
 and to make them freely available through our
-<a href="https://cmu-delphi.github.io/delphi-epidata/api/covidcast.html">COVIDcast Epidata API</a>.
+COVIDcast Epidata API.
 These include both novel signals that we have collected and analyzed ourselves,
-such as our symptom survey <a href="https://delphi.cmu.edu/blog/2020/08/26/covid-19-symptom-surveys-through-facebook/">distributed by Facebook</a>
-to its users, <a href="https://delphi.cmu.edu/blog/2020/09/18/covid-19-symptom-surveys-through-google/">Google’s symptom survey</a> whose results are delivered to us,
+such as our symptom survey distributed by Facebook
+to its users, Google’s symptom survey whose results are delivered to us,
 the percentage of doctor’s visits due to COVID-like illness,
 and results from Quidel’s antigen tests;
 and also existing signals, such as the confirmed case counts
 and deaths reported by USA Facts and Johns Hopkins University.
 The COVIDcast API freely provides researchers and decision-makers
 with the data they need to conduct their work, and
-is conveniently accessible via easy-to-use <a href="https://cmu-delphi.github.io/covidcast/covidcast-py/html/">Python</a>
-and <a href="https://cmu-delphi.github.io/covidcast/covidcastR/">R</a> packages.</p>
+is conveniently accessible via easy-to-use Python
+and R packages.</p>
 </description>
     </item>