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‎content/blog/2020-08-26-fb-survey.html

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toc: true
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---
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<script src="/rmarkdown-libs/header-attrs/header-attrs.js"></script>
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<div id="TOC">
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<ul>
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<li><a href="#short-background">Short Background</a></li>
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<li><a href="#why-run-these-surveys">Why Run These Surveys?</a></li>
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<li><a href="#whats-in-the-survey">What’s in the Survey?</a></li>
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<li><a href="#some-interesting-examples">Some Interesting Examples</a></li>
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<li><a href="#basic-correlation-analysis">Basic Correlation Analysis</a>
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<li><a href="#short-background" id="toc-short-background">Short Background</a></li>
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<li><a href="#why-run-these-surveys" id="toc-why-run-these-surveys">Why Run These Surveys?</a></li>
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<li><a href="#whats-in-the-survey" id="toc-whats-in-the-survey">What’s in the Survey?</a></li>
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<li><a href="#some-interesting-examples" id="toc-some-interesting-examples">Some Interesting Examples</a></li>
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<li><a href="#basic-correlation-analysis" id="toc-basic-correlation-analysis">Basic Correlation Analysis</a>
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<ul>
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<li><a href="#correlations-sliced-by-time">Correlations Sliced by Time</a></li>
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<li><a href="#correlations-sliced-by-county">Correlations Sliced by County</a></li>
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<li><a href="#correlations-sliced-by-time" id="toc-correlations-sliced-by-time">Correlations Sliced by Time</a></li>
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<li><a href="#correlations-sliced-by-county" id="toc-correlations-sliced-by-county">Correlations Sliced by County</a></li>
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</ul></li>
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<li><a href="#whats-next-with-the-surveys">What’s Next with the Surveys</a></li>
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<li><a href="#whats-next-with-the-surveys" id="toc-whats-next-with-the-surveys">What’s Next with the Surveys</a></li>
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</ul>
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</div>
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library(dplyr)
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library(gridExtra)
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options(covidcast.auth = Sys.getenv(&quot;API_KEY&quot;)) # for more on API keys, see: https://cmu-delphi.github.io/delphi-epidata/api/api_keys.html
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# Fetch Facebook % CLI signal and JHU confirmed case incidence proportion at
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# the state level
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start_day = &quot;2020-06-15&quot;

‎content/blog/2020-08-28-api.html

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toc: true
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---
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<script src="/rmarkdown-libs/header-attrs/header-attrs.js"></script>
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<div id="TOC">
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<ul>
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<li><a href="#purpose-of-the-api">Purpose of the API</a></li>
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<li><a href="#unique-data-sources">Unique Data Sources</a></li>
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<li><a href="#tracking-observations-and-revisions">Tracking Observations and Revisions</a></li>
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<li><a href="#accessing-the-api">Accessing the API</a></li>
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<li><a href="#putting-the-api-to-work">Putting the API to Work</a></li>
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<li><a href="#purpose-of-the-api" id="toc-purpose-of-the-api">Purpose of the API</a></li>
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<li><a href="#unique-data-sources" id="toc-unique-data-sources">Unique Data Sources</a></li>
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<li><a href="#tracking-observations-and-revisions" id="toc-tracking-observations-and-revisions">Tracking Observations and Revisions</a></li>
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<li><a href="#accessing-the-api" id="toc-accessing-the-api">Accessing the API</a></li>
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<li><a href="#putting-the-api-to-work" id="toc-putting-the-api-to-work">Putting the API to Work</a></li>
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</ul>
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</div>
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can change for <em>weeks</em> as new data arrives:</p>
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<pre class="r"><code>library(covidcast)
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library(dplyr)
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options(covidcast.auth = Sys.getenv(&quot;API_KEY&quot;)) # for more on API keys, see: https://cmu-delphi.github.io/delphi-epidata/api/api_keys.html
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query_date &lt;- &quot;2020-08-01&quot;
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covidcast_signal(
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data_source = &quot;quidel&quot;,
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knitr::kable(&quot;html&quot;, digits = 2,
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col.names = c(&quot;Test date&quot;, &quot;Positivity rate (%)&quot;, &quot;Sample size&quot;,
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&quot;Issued on&quot;, &quot;Lag (days)&quot;))</code></pre>
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<table>
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<thead>
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Test date
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Positivity rate (%)
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Sample size
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Issued on
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</th>
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Lag (days)
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</th>
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</thead>
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<tbody>
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2020-08-01
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</td>
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1.01
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</td>
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198
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</td>
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2020-08-06
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5
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2020-08-01
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0.97
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</td>
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2020-08-07
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1.41
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2020-08-10
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2020-08-30
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</table>
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<p><em>November 2023 update: Quidel data is no longer publicly available, so the table generated by the code chunk above has been removed.</em></p>
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<p>Many data sources are subject to revisions:</p>
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<ul>
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<li>Case and death counts are frequently corrected or adjusted by authorities.</li>
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that are due to COVID-19 in several states.
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(Click the “Code” button to see the R code used to produce this example.)</p>
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<pre class="r"><code>library(covidcast)
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options(covidcast.auth = Sys.getenv(&quot;API_KEY&quot;)) # for more on API keys, see: https://cmu-delphi.github.io/delphi-epidata/api/api_keys.html
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hosp &lt;- covidcast_signal(
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data_source = &quot;hospital-admissions&quot;, signal = &quot;smoothed_adj_covid19_from_claims&quot;,
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start_day = &quot;2020-03-01&quot;, end_day = &quot;2020-08-30&quot;,
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<pre class="python"><code>import covidcast
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from datetime import date
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import matplotlib.pyplot as plt
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import os
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covidcast.use_api_key(os.environ[&#39;API_KEY&#39;]) # for more on API keys, see: https://cmu-delphi.github.io/delphi-epidata/api/api_keys.html
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data = covidcast.signal(&quot;fb-survey&quot;, &quot;smoothed_hh_cmnty_cli&quot;,
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date(2020, 9, 8), date(2020, 9, 8),
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geo_type=&quot;state&quot;)
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covidcast.plot_choropleth(data, figsize=(7, 5))
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covidcast.plot(data, plot_type=&quot;choropleth&quot;, figsize=(7, 5))
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plt.title(&quot;% who know someone who is sick, Sept 8, 2020&quot;)</code></pre>
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<p><img src="/blog/2020-08-28-api_files/figure-html/python-data-1.svg" /><!-- --></p>
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<p>Each package’s documentation gives numerous other examples of pulling, plotting,

‎content/blog/2020-09-18-google-survey.html

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toc: true
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---
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<script src="/rmarkdown-libs/header-attrs/header-attrs.js"></script>
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<div id="TOC">
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<ul>
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<li><a href="#short-background">Short Background</a></li>
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<li><a href="#cli-in-community">CLI-in-Community</a></li>
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<li><a href="#our-two-surveys">Our Two Surveys</a></li>
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<li><a href="#google-survey-redux">Google Survey Redux</a></li>
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<li><a href="#short-background" id="toc-short-background">Short Background</a></li>
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<li><a href="#cli-in-community" id="toc-cli-in-community">CLI-in-Community</a></li>
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<li><a href="#our-two-surveys" id="toc-our-two-surveys">Our Two Surveys</a></li>
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<li><a href="#google-survey-redux" id="toc-google-survey-redux">Google Survey Redux</a></li>
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</ul>
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</div>
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library(ggplot2)
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library(gridExtra)
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options(covidcast.auth = Sys.getenv(&quot;API_KEY&quot;)) # for more on API keys, see: https://cmu-delphi.github.io/delphi-epidata/api/api_keys.html
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# Fetch county-level Google and Facebook % CLI-in-community signals, and JHU
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# confirmed case incidence proportion
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df_go = covidcast_signal(&quot;google-survey&quot;, &quot;smoothed_cli&quot;, geo_type = &quot;state&quot;)
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<p>In both plots, we see a reassuring trend,
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but the trend on the left is noticeably stronger.
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Indeed, the correlation here between the Google signal and case rates is
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0.83,
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while that between the Facebook signal and case rates is
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0.64.
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To be fair, we should note that the Google signal comprises a much
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or manually (in collaboration with partners in public health and/or data
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journalists). Stay tuned to the Delphi blog for updates.</p>
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</div>
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<div class="footnotes">
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<div class="footnotes footnotes-end-of-document">
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<hr />
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<ol>
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<li id="fn1"><p>In the survey methodology literature, a “proxy question” is one in which

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