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^CRAN-RELEASE$
^.*\.Rproj$
^\.Rproj\.user$
^\.travis\.yml$
@@ -6,6 +7,7 @@
^\.codecov\.yml$
^README_files$
^doc$
^docs$
^CONDUCT\.md$
^codecov\.yml$
^.*md$


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This package was submitted to CRAN on 2019-01-24.
Once it is accepted, delete this file and tag the release (commit 2b6698f1c2).

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NAMESPACE View File

@@ -20,6 +20,7 @@ export(surveillance_areas)
export(who_nrevss)
import(MMWRweek)
import(httr)
import(units)
import(xml2)
importFrom(dplyr,"%>%")
importFrom(dplyr,arrange)


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R/cdcfluview-package.R View File

@@ -11,9 +11,7 @@
#' @name cdcfluview
#' @docType package
#' @author Bob Rudis (bob@@rud.is)
#' @import httr
#' @import MMWRweek
#' @import xml2
#' @import httr MMWRweek xml2 units
#' @importFrom purrr map map_df map_chr map_lgl discard keep
#' @importFrom readr read_csv type_convert
#' @importFrom tools file_path_sans_ext


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cran-comments.md View File

@@ -1,8 +1,8 @@
## Test environments

* local OS X install, R 3.5.1
* local Ubuntu 16.04 R 3.5.1
* ubuntu 14.04 (on travis-ci), R old/current/devel
* local OS X install, R 3.5.2
* local Ubuntu 16.04 R 3.5.2
* ubuntu 16.04 (on travis-ci), R current/devel
* win-builder (devel and release)

## R CMD check results
@@ -17,14 +17,14 @@ None

---

The CDC changed their endpoints again and remove support for one of them. The
function had been deprecated in the previous version submitted to CRAN and
had been removed in this version due to the removal from the CDC.
The CDC removed 2 old API endpoints so those functions have been removed.

Support for new endpoints has been added along with tests for these new endpoints.
There was a bug in the computation of "start week" that resulted in
the "ISO" day being used vs the MMWR/"epi" day being used. This
has also been fixed.

Only some examples run on CRAN due to their time consuming nature and the need
to make external calls. Weekly tests are performed on Travis-CI
<https://travis-ci.org/hrbrmstr/cdcfluview> and the package itself has 91%
to make external network API calls. Monthly tests are performed on Travis-CI
<https://travis-ci.org/hrbrmstr/cdcfluview> and the package itself has 88%
code coverage during tests <https://codecov.io/github/hrbrmstr/cdcfluview?branch=master>.
All package functions are also evaluated on each new generation of the README.

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accessing state, regional and national influenza statistics as well as
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time-consuming to select and retrieve influenza data. Tools are provided
to access the data provided by the portal's underlying 'API'.">
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.0</span>
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<div id="i-m-p-o-r-t-a-n-t" class="section level1">
<div class="page-header"><h1 class="hasAnchor">
<a href="#i-m-p-o-r-t-a-n-t" class="anchor"></a>I M P O R T A N T</h1></div>
<p>The CDC migrated to a new non-Flash portal and back-end APIs changed. This is a complete reimagining of the package and — as such — all your code is going to break…eventually. Older functions have been deprecated with warnings and will be removed at some point.</p>
<p>All folks providing feedback, code or suggestions will be added to the DESCRIPTION file. Please include how you would prefer to be cited in any issues you file.</p>
<p>If there’s a particular data set from <a href="https://www.cdc.gov/flu/weekly/fluviewinteractive.htm" class="uri">https://www.cdc.gov/flu/weekly/fluviewinteractive.htm</a> that you want and that isn’t in the package, please file it as an issue and be as specific as you can (screen shot if possible).</p>
</div>
<div id="mask-cdcfluview" class="section level1">
<h1 class="hasAnchor">
<a href="#mask-cdcfluview" class="anchor"></a>:mask: cdcfluview</h1>
<p>Retrieve Flu Season Data from the United States Centers for Disease Control and Prevention (‘CDC’) ‘FluView’ Portal</p>
<div id="description" class="section level2">
<h2 class="hasAnchor">
<a href="#description" class="anchor"></a>Description</h2>
<p>The U.S. Centers for Disease Control (CDC) maintains a portal <a href="http://gis.cdc.gov/grasp/fluview/fluportaldashboard.html" class="uri">http://gis.cdc.gov/grasp/fluview/fluportaldashboard.html</a> for accessing state, regional and national influenza statistics as well as Mortality Surveillance Data. The Flash interface makes it difficult and time-consuming to select and retrieve influenza data. This package provides functions to access the data provided by the portal’s underlying API.</p>
</div>
<div id="whats-inside-the-tin" class="section level2">
<h2 class="hasAnchor">
<a href="#whats-inside-the-tin" class="anchor"></a>What’s Inside The Tin</h2>
<p>The following functions are implemented:</p>
<ul>
<li>
<code>age_group_distribution</code>: Age Group Distribution of Influenza Positive Tests Reported by Public Health Laboratories</li>
<li>
<code>cdc_basemap</code>: Retrieve CDC U.S. Basemaps</li>
<li>
<code>geographic_spread</code>: State and Territorial Epidemiologists Reports of Geographic Spread of Influenza</li>
<li>
<code>get_weekly_flu_report</code>: Retrieves (high-level) weekly (XML) influenza surveillance report from the CDC</li>
<li>
<code>hospitalizations</code>: Laboratory-Confirmed Influenza Hospitalizations</li>
<li>
<code>ilinet</code>: Retrieve ILINet Surveillance Data</li>
<li>
<code>ili_weekly_activity_indicators</code>: Retrieve weekly state-level ILI indicators per-state for a given season</li>
<li>
<code>pi_mortality</code>: Pneumonia and Influenza Mortality Surveillance</li>
<li>
<code>state_data_providers</code>: Retrieve metadata about U.S. State CDC Provider Data</li>
<li>
<code>surveillance_areas</code>: Retrieve a list of valid sub-regions for each surveillance area.</li>
<li>
<code>who_nrevss</code>: Retrieve WHO/NREVSS Surveillance Data</li>
</ul>
<p>MMWR ID Utilities:</p>
<ul>
<li>
<code>mmwrid_map</code>: MMWR ID to Calendar Mappings</li>
<li>
<code>mmwr_week</code>: Convert a Date to an MMWR day+week+year</li>
<li>
<code>mmwr_weekday</code>: Convert a Date to an MMWR weekday</li>
<li>
<code>mmwr_week_to_date</code>: Convert an MMWR year+week or year+week+day to a Date object</li>
</ul>
<p>Deprecated functions:</p>
<ul>
<li>
<code>get_flu_data</code>: Retrieves state, regional or national influenza statistics from the CDC (deprecated)</li>
<li>
<code>get_hosp_data</code>: Retrieves influenza hospitalization statistics from the CDC (deprecated)</li>
<li>
<code>get_state_data</code>: Retrieves state/territory-level influenza statistics from the CDC (deprecated)</li>
</ul>
<p>The following data sets are included:</p>
<ul>
<li>
<code>hhs_regions</code>: HHS Region Table (a data frame with 59 rows and 4 variables)</li>
<li>
<code>census_regions</code>: Census Region Table (a data frame with 51 rows and 2 variables)</li>
<li>
<code>mmwrid_map</code>: MMWR ID to Calendar Mappings (it is exported &amp; available, no need to use <code><a href="https://www.rdocumentation.org/packages/utils/topics/data">data()</a></code>)</li>
</ul>
</div>
<div id="note" class="section level2">
<h2 class="hasAnchor">
<a href="#note" class="anchor"></a>NOTE</h2>
<p>All development happens in branches now with only critical fixes being back-ported to the master branch when necessary.</p>
</div>
<div id="installation" class="section level2">
<h2 class="hasAnchor">
<a href="#installation" class="anchor"></a>Installation</h2>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1"><span class="co"># CRAN</span></a>
<a class="sourceLine" id="cb1-2" data-line-number="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/utils/topics/install.packages">install.packages</a></span>(<span class="st">"cdcfluview"</span>)</a>
<a class="sourceLine" id="cb1-3" data-line-number="3"><span class="co"># master branch</span></a>
<a class="sourceLine" id="cb1-4" data-line-number="4">devtools<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/devtools/topics/reexports">install_git</a></span>(<span class="st">"https://sr.ht/~hrbrmstr/cdcfluview"</span>)</a>
<a class="sourceLine" id="cb1-5" data-line-number="5">devtools<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/devtools/topics/reexports">install_git</a></span>(<span class="st">"https://gitlab.com/hrbrmstr/cdcfluview"</span>)</a>
<a class="sourceLine" id="cb1-6" data-line-number="6">devtools<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/devtools/topics/reexports">install_github</a></span>(<span class="st">"hrbrmstr/cdcfluview"</span>)</a></code></pre></div>
</div>
<div id="usage" class="section level2">
<h2 class="hasAnchor">
<a href="#usage" class="anchor"></a>Usage</h2>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/library">library</a></span>(cdcfluview)</a>
<a class="sourceLine" id="cb2-2" data-line-number="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/library">library</a></span>(hrbrthemes)</a>
<a class="sourceLine" id="cb2-3" data-line-number="3"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/library">library</a></span>(tidyverse)</a>
<a class="sourceLine" id="cb2-4" data-line-number="4"></a>
<a class="sourceLine" id="cb2-5" data-line-number="5"><span class="co"># current verison</span></a>
<a class="sourceLine" id="cb2-6" data-line-number="6"><span class="kw"><a href="https://www.rdocumentation.org/packages/utils/topics/packageDescription">packageVersion</a></span>(<span class="st">"cdcfluview"</span>)</a></code></pre></div>
<pre><code>## [1] '0.9.0'</code></pre>
<div id="age-group-distribution-of-influenza-positive-tests-reported-by-public-health-laboratories" class="section level3">
<h3 class="hasAnchor">
<a href="#age-group-distribution-of-influenza-positive-tests-reported-by-public-health-laboratories" class="anchor"></a>Age Group Distribution of Influenza Positive Tests Reported by Public Health Laboratories</h3>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" data-line-number="1"><span class="kw">glimpse</span>(<span class="kw"><a href="reference/age_group_distribution.html">age_group_distribution</a></span>(<span class="dt">years=</span><span class="dv">2015</span>))</a></code></pre></div>
<pre><code>## Observations: 1,872
## Variables: 16
## $ sea_label &lt;chr&gt; "2015-16", "2015-16", "2015-16", "2015-16", "2015-16", "2015-16", "2015-16", "2015-16", "20…
## $ age_label &lt;fct&gt; 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4…
## $ vir_label &lt;fct&gt; A (Subtyping not Performed), A (Subtyping not Performed), A (Subtyping not Performed), A (S…
## $ count &lt;int&gt; 0, 1, 0, 1, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 2, 3, 2, 2, 3, 3, 3, 0, 0, 2, 0, 1, 1, 0, 0…
## $ mmwrid &lt;int&gt; 2806, 2807, 2808, 2809, 2810, 2811, 2812, 2813, 2814, 2815, 2816, 2817, 2818, 2819, 2820, 2…
## $ seasonid &lt;int&gt; 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55,…
## $ publishyearweekid &lt;int&gt; 2976, 2976, 2976, 2976, 2976, 2976, 2976, 2976, 2976, 2976, 2976, 2976, 2976, 2976, 2976, 2…
## $ sea_description &lt;chr&gt; "Season 2015-16", "Season 2015-16", "Season 2015-16", "Season 2015-16", "Season 2015-16", "…
## $ sea_startweek &lt;int&gt; 2806, 2806, 2806, 2806, 2806, 2806, 2806, 2806, 2806, 2806, 2806, 2806, 2806, 2806, 2806, 2…
## $ sea_endweek &lt;int&gt; 2857, 2857, 2857, 2857, 2857, 2857, 2857, 2857, 2857, 2857, 2857, 2857, 2857, 2857, 2857, 2…
## $ vir_description &lt;chr&gt; "A-Unk", "A-Unk", "A-Unk", "A-Unk", "A-Unk", "A-Unk", "A-Unk", "A-Unk", "A-Unk", "A-Unk", "…
## $ vir_startmmwrid &lt;int&gt; 1397, 1397, 1397, 1397, 1397, 1397, 1397, 1397, 1397, 1397, 1397, 1397, 1397, 1397, 1397, 1…
## $ vir_endmmwrid &lt;int&gt; 3131, 3131, 3131, 3131, 3131, 3131, 3131, 3131, 3131, 3131, 3131, 3131, 3131, 3131, 3131, 3…
## $ wk_start &lt;date&gt; 2015-10-04, 2015-10-11, 2015-10-18, 2015-10-25, 2015-11-01, 2015-11-08, 2015-11-15, 2015-1…
## $ wk_end &lt;date&gt; 2015-10-10, 2015-10-17, 2015-10-24, 2015-10-31, 2015-11-07, 2015-11-14, 2015-11-21, 2015-1…
## $ year_wk_num &lt;int&gt; 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, …</code></pre>
</div>
<div id="retrieve-cdc-u-s--coverage-map" class="section level3">
<h3 class="hasAnchor">
<a href="#retrieve-cdc-u-s--coverage-map" class="anchor"></a>Retrieve CDC U.S. Coverage Map</h3>
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(<span class="kw"><a href="reference/cdc_basemap.html">cdc_basemap</a></span>(<span class="st">"national"</span>))</a></code></pre></div>
<p><img src="index_files/figure-html/cdc-basemaps-1.png" width="700"></p>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(<span class="kw"><a href="reference/cdc_basemap.html">cdc_basemap</a></span>(<span class="st">"hhs"</span>))</a></code></pre></div>
<p><img src="index_files/figure-html/cdc-basemaps-2.png" width="700"></p>
<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(<span class="kw"><a href="reference/cdc_basemap.html">cdc_basemap</a></span>(<span class="st">"census"</span>))</a></code></pre></div>
<p><img src="index_files/figure-html/cdc-basemaps-3.png" width="700"></p>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(<span class="kw"><a href="reference/cdc_basemap.html">cdc_basemap</a></span>(<span class="st">"states"</span>))</a></code></pre></div>
<p><img src="index_files/figure-html/cdc-basemaps-4.png" width="700"></p>
<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(<span class="kw"><a href="reference/cdc_basemap.html">cdc_basemap</a></span>(<span class="st">"spread"</span>))</a></code></pre></div>
<p><img src="index_files/figure-html/cdc-basemaps-5.png" width="700"></p>
<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/plot">plot</a></span>(<span class="kw"><a href="reference/cdc_basemap.html">cdc_basemap</a></span>(<span class="st">"surv"</span>))</a></code></pre></div>
<p><img src="index_files/figure-html/cdc-basemaps-6.png" width="700"></p>
</div>
<div id="state-and-territorial-epidemiologists-reports-of-geographic-spread-of-influenza" class="section level3">
<h3 class="hasAnchor">
<a href="#state-and-territorial-epidemiologists-reports-of-geographic-spread-of-influenza" class="anchor"></a>State and Territorial Epidemiologists Reports of Geographic Spread of Influenza</h3>
<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb12-1" data-line-number="1"><span class="kw">glimpse</span>(<span class="kw"><a href="reference/geographic_spread.html">geographic_spread</a></span>())</a></code></pre></div>
<pre><code>## Observations: 28,151
## Variables: 7
## $ statename &lt;chr&gt; "Alabama", "Alabama", "Alabama", "Alabama", "Alabama", "Alabama", "Alabama", "Alabama", "Al…
## $ url &lt;chr&gt; "http://adph.org/influenza/", "http://adph.org/influenza/", "http://adph.org/influenza/", "…
## $ website &lt;chr&gt; "Influenza Surveillance", "Influenza Surveillance", "Influenza Surveillance", "Influenza Su…
## $ activity_estimate &lt;chr&gt; "No Activity", "No Activity", "No Activity", "Local Activity", "Sporadic", "Sporadic", "Spo…
## $ weekend &lt;date&gt; 2003-10-04, 2003-10-11, 2003-10-18, 2003-10-25, 2003-11-01, 2003-11-08, 2003-11-15, 2003-1…
## $ season &lt;chr&gt; "2003-04", "2003-04", "2003-04", "2003-04", "2003-04", "2003-04", "2003-04", "2003-04", "20…
## $ weeknumber &lt;chr&gt; "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "1", "2…</code></pre>
</div>
<div id="laboratory-confirmed-influenza-hospitalizations" class="section level3">
<h3 class="hasAnchor">
<a href="#laboratory-confirmed-influenza-hospitalizations" class="anchor"></a>Laboratory-Confirmed Influenza Hospitalizations</h3>
<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb14-1" data-line-number="1"><span class="kw"><a href="reference/surveillance_areas.html">surveillance_areas</a></span>()</a></code></pre></div>
<pre><code>## surveillance_area region
## 1 flusurv Entire Network
## 2 eip California
## 3 eip Colorado
## 4 eip Connecticut
## 5 eip Entire Network
## 6 eip Georgia
## 7 eip Maryland
## 8 eip Minnesota
## 9 eip New Mexico
## 10 eip New York - Albany
## 11 eip New York - Rochester
## 12 eip Oregon
## 13 eip Tennessee
## 14 ihsp Entire Network
## 15 ihsp Idaho
## 16 ihsp Iowa
## 17 ihsp Michigan
## 18 ihsp Ohio
## 19 ihsp Oklahoma
## 20 ihsp Rhode Island
## 21 ihsp South Dakota
## 22 ihsp Utah</code></pre>
<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb16-1" data-line-number="1"><span class="kw">glimpse</span>(fs_nat &lt;-<span class="st"> </span><span class="kw"><a href="reference/hospitalizations.html">hospitalizations</a></span>(<span class="st">"flusurv"</span>))</a></code></pre></div>
<pre><code>## Observations: 1,746
## Variables: 14
## $ surveillance_area &lt;chr&gt; "FluSurv-NET", "FluSurv-NET", "FluSurv-NET", "FluSurv-NET", "FluSurv-NET", "FluSurv-NET", "…
## $ region &lt;chr&gt; "Entire Network", "Entire Network", "Entire Network", "Entire Network", "Entire Network", "…
## $ year &lt;int&gt; 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2…
## $ season &lt;int&gt; 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49,…
## $ wk_start &lt;date&gt; 2009-08-30, 2009-09-06, 2009-09-13, 2009-09-20, 2009-09-27, 2009-10-04, 2009-10-11, 2009-1…
## $ wk_end &lt;date&gt; 2009-09-05, 2009-09-12, 2009-09-19, 2009-09-26, 2009-10-03, 2009-10-10, 2009-10-17, 2009-1…
## $ year_wk_num &lt;int&gt; 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 1, 2, 3, 4, 5, 6, 7…
## $ rate &lt;dbl&gt; 0.5, 2.5, 4.6, 6.7, 10.9, 18.1, 28.3, 39.1, 47.3, 53.3, 57.5, 60.1, 61.6, 62.9, 64.1, 65.1,…
## $ weeklyrate &lt;dbl&gt; 0.5, 2.0, 2.0, 2.1, 4.3, 7.2, 10.2, 10.8, 8.2, 6.0, 4.2, 2.6, 1.5, 1.3, 1.3, 1.0, 1.2, 1.1,…
## $ age &lt;int&gt; 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ age_label &lt;fct&gt; 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4…
## $ sea_label &lt;chr&gt; "2009-10", "2009-10", "2009-10", "2009-10", "2009-10", "2009-10", "2009-10", "2009-10", "20…
## $ sea_description &lt;chr&gt; "Season 2009-10", "Season 2009-10", "Season 2009-10", "Season 2009-10", "Season 2009-10", "…
## $ mmwrid &lt;int&gt; 2488, 2489, 2490, 2491, 2492, 2493, 2494, 2495, 2496, 2497, 2498, 2499, 2500, 2501, 2502, 2…</code></pre>
<div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb18-1" data-line-number="1"><span class="kw">ggplot</span>(fs_nat, <span class="kw">aes</span>(wk_end, rate)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb18-2" data-line-number="2"><span class="st"> </span><span class="kw">geom_line</span>(<span class="kw">aes</span>(<span class="dt">color=</span>age_label, <span class="dt">group=</span>age_label)) <span class="op">+</span></a>
<a class="sourceLine" id="cb18-3" data-line-number="3"><span class="st"> </span><span class="kw">facet_wrap</span>(<span class="op">~</span>sea_description, <span class="dt">scales=</span><span class="st">"free_x"</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb18-4" data-line-number="4"><span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/hrbrthemes/topics/scale_ipsum">scale_color_ipsum</a></span>(<span class="dt">name=</span><span class="ot">NULL</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb18-5" data-line-number="5"><span class="st"> </span><span class="kw">labs</span>(<span class="dt">x=</span><span class="ot">NULL</span>, <span class="dt">y=</span><span class="st">"Rates per 100,000 population"</span>,</a>
<a class="sourceLine" id="cb18-6" data-line-number="6"> <span class="dt">title=</span><span class="st">"FluSurv-NET :: Entire Network :: All Seasons :: Cumulative Rate"</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb18-7" data-line-number="7"><span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/hrbrthemes/topics/theme_ipsum_rc">theme_ipsum_rc</a></span>()</a></code></pre></div>
<p><img src="index_files/figure-html/surveillance-areas-1.png" width="960"></p>
<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb19-1" data-line-number="1"><span class="kw">glimpse</span>(<span class="kw"><a href="reference/hospitalizations.html">hospitalizations</a></span>(<span class="st">"eip"</span>, <span class="dt">years=</span><span class="dv">2015</span>))</a></code></pre></div>
<pre><code>## Observations: 180
## Variables: 14
## $ surveillance_area &lt;chr&gt; "EIP", "EIP", "EIP", "EIP", "EIP", "EIP", "EIP", "EIP", "EIP", "EIP", "EIP", "EIP", "EIP", …
## $ region &lt;chr&gt; "Entire Network", "Entire Network", "Entire Network", "Entire Network", "Entire Network", "…
## $ year &lt;int&gt; 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2016, 2016, 2…
## $ season &lt;int&gt; 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55,…
## $ wk_start &lt;date&gt; 2015-10-04, 2015-10-11, 2015-10-18, 2015-10-25, 2015-11-01, 2015-11-08, 2015-11-15, 2015-1…
## $ wk_end &lt;date&gt; 2015-10-10, 2015-10-17, 2015-10-24, 2015-10-31, 2015-11-07, 2015-11-14, 2015-11-21, 2015-1…
## $ year_wk_num &lt;int&gt; 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, …
## $ rate &lt;dbl&gt; 0.1, 0.3, 0.4, 0.5, 0.8, 0.8, 1.1, 1.4, 1.6, 1.7, 1.8, 2.1, 2.4, 2.9, 3.2, 3.5, 4.1, 5.3, 6…
## $ weeklyrate &lt;dbl&gt; 0.1, 0.3, 0.1, 0.1, 0.3, 0.0, 0.3, 0.3, 0.2, 0.1, 0.1, 0.3, 0.3, 0.5, 0.3, 0.3, 0.6, 1.2, 1…
## $ age &lt;int&gt; 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2…
## $ age_label &lt;fct&gt; 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4…
## $ sea_label &lt;chr&gt; "2015-16", "2015-16", "2015-16", "2015-16", "2015-16", "2015-16", "2015-16", "2015-16", "20…
## $ sea_description &lt;chr&gt; "Season 2015-16", "Season 2015-16", "Season 2015-16", "Season 2015-16", "Season 2015-16", "…
## $ mmwrid &lt;int&gt; 2806, 2807, 2808, 2809, 2810, 2811, 2812, 2813, 2814, 2815, 2816, 2817, 2818, 2819, 2820, 2…</code></pre>
<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb21-1" data-line-number="1"><span class="kw">glimpse</span>(<span class="kw"><a href="reference/hospitalizations.html">hospitalizations</a></span>(<span class="st">"eip"</span>, <span class="st">"Colorado"</span>, <span class="dt">years=</span><span class="dv">2015</span>))</a></code></pre></div>
<pre><code>## Observations: 180
## Variables: 14
## $ surveillance_area &lt;chr&gt; "EIP", "EIP", "EIP", "EIP", "EIP", "EIP", "EIP", "EIP", "EIP", "EIP", "EIP", "EIP", "EIP", …
## $ region &lt;chr&gt; "Colorado", "Colorado", "Colorado", "Colorado", "Colorado", "Colorado", "Colorado", "Colora…
## $ year &lt;int&gt; 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2016, 2016, 2…
## $ season &lt;int&gt; 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55,…
## $ wk_start &lt;date&gt; 2015-10-04, 2015-10-11, 2015-10-18, 2015-10-25, 2015-11-01, 2015-11-08, 2015-11-15, 2015-1…
## $ wk_end &lt;date&gt; 2015-10-10, 2015-10-17, 2015-10-24, 2015-10-31, 2015-11-07, 2015-11-14, 2015-11-21, 2015-1…
## $ year_wk_num &lt;int&gt; 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, …
## $ rate &lt;dbl&gt; 0.0, 0.0, 0.6, 0.6, 0.6, 0.6, 1.2, 1.7, 1.7, 1.7, 1.7, 1.7, 2.9, 3.5, 3.5, 3.5, 4.1, 6.4, 8…
## $ weeklyrate &lt;dbl&gt; 0.0, 0.0, 0.6, 0.0, 0.0, 0.0, 0.6, 0.6, 0.0, 0.0, 0.0, 0.0, 1.2, 0.6, 0.0, 0.0, 0.6, 2.3, 2…
## $ age &lt;int&gt; 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2…
## $ age_label &lt;fct&gt; 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4…
## $ sea_label &lt;chr&gt; "2015-16", "2015-16", "2015-16", "2015-16", "2015-16", "2015-16", "2015-16", "2015-16", "20…
## $ sea_description &lt;chr&gt; "Season 2015-16", "Season 2015-16", "Season 2015-16", "Season 2015-16", "Season 2015-16", "…
## $ mmwrid &lt;int&gt; 2806, 2807, 2808, 2809, 2810, 2811, 2812, 2813, 2814, 2815, 2816, 2817, 2818, 2819, 2820, 2…</code></pre>
<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb23-1" data-line-number="1"><span class="kw">glimpse</span>(<span class="kw"><a href="reference/hospitalizations.html">hospitalizations</a></span>(<span class="st">"ihsp"</span>, <span class="dt">years=</span><span class="dv">2015</span>))</a></code></pre></div>
<pre><code>## Observations: 180
## Variables: 14
## $ surveillance_area &lt;chr&gt; "IHSP", "IHSP", "IHSP", "IHSP", "IHSP", "IHSP", "IHSP", "IHSP", "IHSP", "IHSP", "IHSP", "IH…
## $ region &lt;chr&gt; "Entire Network", "Entire Network", "Entire Network", "Entire Network", "Entire Network", "…
## $ year &lt;int&gt; 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2016, 2016, 2…
## $ season &lt;int&gt; 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55,…
## $ wk_start &lt;date&gt; 2015-10-04, 2015-10-11, 2015-10-18, 2015-10-25, 2015-11-01, 2015-11-08, 2015-11-15, 2015-1…
## $ wk_end &lt;date&gt; 2015-10-10, 2015-10-17, 2015-10-24, 2015-10-31, 2015-11-07, 2015-11-14, 2015-11-21, 2015-1…
## $ year_wk_num &lt;int&gt; 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, …
## $ rate &lt;dbl&gt; 0.0, 0.0, 0.4, 0.4, 0.4, 1.1, 1.1, 1.1, 1.1, 1.5, 1.8, 2.2, 2.2, 2.6, 2.6, 2.6, 2.9, 4.0, 5…
## $ weeklyrate &lt;dbl&gt; 0.0, 0.0, 0.4, 0.0, 0.0, 0.7, 0.0, 0.0, 0.0, 0.4, 0.4, 0.4, 0.0, 0.4, 0.0, 0.0, 0.4, 1.1, 1…
## $ age &lt;int&gt; 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2…
## $ age_label &lt;fct&gt; 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4…
## $ sea_label &lt;chr&gt; "2015-16", "2015-16", "2015-16", "2015-16", "2015-16", "2015-16", "2015-16", "2015-16", "20…
## $ sea_description &lt;chr&gt; "Season 2015-16", "Season 2015-16", "Season 2015-16", "Season 2015-16", "Season 2015-16", "…
## $ mmwrid &lt;int&gt; 2806, 2807, 2808, 2809, 2810, 2811, 2812, 2813, 2814, 2815, 2816, 2817, 2818, 2819, 2820, 2…</code></pre>
<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb25-1" data-line-number="1"><span class="kw">glimpse</span>(<span class="kw"><a href="reference/hospitalizations.html">hospitalizations</a></span>(<span class="st">"ihsp"</span>, <span class="st">"Oklahoma"</span>, <span class="dt">years=</span><span class="dv">2015</span>))</a></code></pre></div>
<pre><code>## Observations: 180
## Variables: 14
## $ surveillance_area &lt;chr&gt; "IHSP", "IHSP", "IHSP", "IHSP", "IHSP", "IHSP", "IHSP", "IHSP", "IHSP", "IHSP", "IHSP", "IH…
## $ region &lt;chr&gt; "Oklahoma", "Oklahoma", "Oklahoma", "Oklahoma", "Oklahoma", "Oklahoma", "Oklahoma", "Oklaho…
## $ year &lt;int&gt; 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2011, 2011, 2…
## $ season &lt;int&gt; 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50,…
## $ wk_start &lt;date&gt; 2010-10-03, 2010-10-10, 2010-10-17, 2010-10-24, 2010-10-31, 2010-11-07, 2010-11-14, 2010-1…
## $ wk_end &lt;date&gt; 2010-10-09, 2010-10-16, 2010-10-23, 2010-10-30, 2010-11-06, 2010-11-13, 2010-11-20, 2010-1…
## $ year_wk_num &lt;int&gt; 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, …
## $ rate &lt;dbl&gt; 0.0, 0.0, 1.2, 1.2, 1.2, 1.2, 1.2, 1.2, 1.2, 2.4, 2.4, 6.1, 14.6, 17.0, 32.8, 49.9, 76.6, 9…
## $ weeklyrate &lt;dbl&gt; 0.0, 0.0, 1.2, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.2, 0.0, 3.6, 8.5, 2.4, 15.8, 17.0, 26.8, 21.…
## $ age &lt;int&gt; 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2…
## $ age_label &lt;fct&gt; 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4 yr, 0-4…
## $ sea_label &lt;chr&gt; "2010-11", "2010-11", "2010-11", "2010-11", "2010-11", "2010-11", "2010-11", "2010-11", "20…
## $ sea_description &lt;chr&gt; "Season 2010-11", "Season 2010-11", "Season 2010-11", "Season 2010-11", "Season 2010-11", "…
## $ mmwrid &lt;int&gt; 2545, 2546, 2547, 2548, 2549, 2550, 2551, 2552, 2553, 2554, 2555, 2556, 2557, 2558, 2559, 2…</code></pre>
</div>
<div id="retrieve-ilinet-surveillance-data" class="section level3">
<h3 class="hasAnchor">
<a href="#retrieve-ilinet-surveillance-data" class="anchor"></a>Retrieve ILINet Surveillance Data</h3>
<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb27-1" data-line-number="1"><span class="kw">walk</span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"national"</span>, <span class="st">"hhs"</span>, <span class="st">"census"</span>, <span class="st">"state"</span>), <span class="op">~</span>{</a>
<a class="sourceLine" id="cb27-2" data-line-number="2"> </a>
<a class="sourceLine" id="cb27-3" data-line-number="3"> ili_df &lt;-<span class="st"> </span><span class="kw"><a href="reference/ilinet.html">ilinet</a></span>(<span class="dt">region =</span> .x)</a>
<a class="sourceLine" id="cb27-4" data-line-number="4"> </a>
<a class="sourceLine" id="cb27-5" data-line-number="5"> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(<span class="kw">glimpse</span>(ili_df))</a>
<a class="sourceLine" id="cb27-6" data-line-number="6"> </a>
<a class="sourceLine" id="cb27-7" data-line-number="7"> <span class="kw">ggplot</span>(ili_df, <span class="kw">aes</span>(week_start, unweighted_ili, <span class="dt">group=</span>region, <span class="dt">color=</span>region)) <span class="op">+</span></a>
<a class="sourceLine" id="cb27-8" data-line-number="8"><span class="st"> </span><span class="kw">geom_line</span>() <span class="op">+</span></a>
<a class="sourceLine" id="cb27-9" data-line-number="9"><span class="st"> </span>viridis<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/viridis/topics/scale_viridis">scale_color_viridis</a></span>(<span class="dt">discrete=</span><span class="ot">TRUE</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb27-10" data-line-number="10"><span class="st"> </span><span class="kw">labs</span>(<span class="dt">x=</span><span class="ot">NULL</span>, <span class="dt">y=</span><span class="st">"Unweighted ILI"</span>, <span class="dt">title=</span>ili_df<span class="op">$</span>region_type[<span class="dv">1</span>]) <span class="op">+</span></a>
<a class="sourceLine" id="cb27-11" data-line-number="11"><span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/hrbrthemes/topics/theme_ipsum_rc">theme_ipsum_rc</a></span>(<span class="dt">grid=</span><span class="st">"XY"</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb27-12" data-line-number="12"><span class="st"> </span><span class="kw">theme</span>(<span class="dt">legend.position =</span> <span class="st">"none"</span>) -&gt;<span class="st"> </span>gg</a>
<a class="sourceLine" id="cb27-13" data-line-number="13"> </a>
<a class="sourceLine" id="cb27-14" data-line-number="14"> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(gg)</a>
<a class="sourceLine" id="cb27-15" data-line-number="15"> </a>
<a class="sourceLine" id="cb27-16" data-line-number="16">})</a></code></pre></div>
<pre><code>## Observations: 1,111
## Variables: 16
## $ region_type &lt;chr&gt; "National", "National", "National", "National", "National", "National", "National", "Nationa…
## $ region &lt;chr&gt; "National", "National", "National", "National", "National", "National", "National", "Nationa…
## $ year &lt;int&gt; 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1998, 19…
## $ week &lt;int&gt; 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 1…
## $ weighted_ili &lt;dbl&gt; 1.101480, 1.200070, 1.378760, 1.199200, 1.656180, 1.413260, 1.986800, 2.447490, 1.739010, 1.…
## $ unweighted_ili &lt;dbl&gt; 1.216860, 1.280640, 1.239060, 1.144730, 1.261120, 1.282750, 1.445790, 1.647960, 1.675170, 1.…
## $ age_0_4 &lt;dbl&gt; 179, 199, 228, 188, 217, 178, 294, 288, 268, 299, 346, 348, 510, 579, 639, 690, 856, 824, 88…
## $ age_25_49 &lt;dbl&gt; NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ age_25_64 &lt;dbl&gt; 157, 151, 153, 193, 162, 148, 240, 293, 206, 282, 268, 235, 404, 584, 759, 654, 679, 817, 76…
## $ age_5_24 &lt;dbl&gt; 205, 242, 266, 236, 280, 281, 328, 456, 343, 415, 388, 362, 492, 576, 810, 1121, 1440, 1600,…
## $ age_50_64 &lt;dbl&gt; NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ age_65 &lt;dbl&gt; 29, 23, 34, 36, 41, 48, 70, 63, 69, 102, 81, 59, 113, 207, 207, 148, 151, 196, 233, 146, 119…
## $ ilitotal &lt;dbl&gt; 570, 615, 681, 653, 700, 655, 932, 1100, 886, 1098, 1083, 1004, 1519, 1946, 2415, 2613, 3126…
## $ num_of_providers &lt;dbl&gt; 192, 191, 219, 213, 213, 195, 248, 256, 252, 253, 242, 190, 251, 250, 254, 255, 245, 245, 23…
## $ total_patients &lt;dbl&gt; 46842, 48023, 54961, 57044, 55506, 51062, 64463, 66749, 52890, 67887, 61314, 47719, 48429, 5…
## $ week_start &lt;date&gt; 1997-09-28, 1997-10-05, 1997-10-12, 1997-10-19, 1997-10-26, 1997-11-02, 1997-11-09, 1997-11…
## # A tibble: 1,111 x 16
## region_type region year week weighted_ili unweighted_ili age_0_4 age_25_49 age_25_64 age_5_24 age_50_64 age_65
## &lt;chr&gt; &lt;chr&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 National Natio… 1997 40 1.10 1.22 179 NA 157 205 NA 29
## 2 National Natio… 1997 41 1.20 1.28 199 NA 151 242 NA 23
## 3 National Natio… 1997 42 1.38 1.24 228 NA 153 266 NA 34
## 4 National Natio… 1997 43 1.20 1.14 188 NA 193 236 NA 36
## 5 National Natio… 1997 44 1.66 1.26 217 NA 162 280 NA 41
## 6 National Natio… 1997 45 1.41 1.28 178 NA 148 281 NA 48
## 7 National Natio… 1997 46 1.99 1.45 294 NA 240 328 NA 70
## 8 National Natio… 1997 47 2.45 1.65 288 NA 293 456 NA 63
## 9 National Natio… 1997 48 1.74 1.68 268 NA 206 343 NA 69
## 10 National Natio… 1997 49 1.94 1.62 299 NA 282 415 NA 102
## # … with 1,101 more rows, and 4 more variables: ilitotal &lt;dbl&gt;, num_of_providers &lt;dbl&gt;, total_patients &lt;dbl&gt;,
## # week_start &lt;date&gt;</code></pre>
<p><img src="index_files/figure-html/ili-df-1.png" width="700"></p>
<pre><code>## Observations: 11,110
## Variables: 16
## $ region_type &lt;chr&gt; "HHS Regions", "HHS Regions", "HHS Regions", "HHS Regions", "HHS Regions", "HHS Regions", "H…
## $ region &lt;fct&gt; Region 1, Region 2, Region 3, Region 4, Region 5, Region 6, Region 7, Region 8, Region 9, Re…
## $ year &lt;int&gt; 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 19…
## $ week &lt;int&gt; 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 42, 42, 42, …
## $ weighted_ili &lt;dbl&gt; 0.498535, 0.374963, 1.354280, 0.400338, 1.229260, 1.018980, 0.871791, 0.516017, 1.807610, 4.…
## $ unweighted_ili &lt;dbl&gt; 0.623848, 0.384615, 1.341720, 0.450010, 0.901266, 0.747384, 1.152860, 0.422654, 2.258780, 4.…
## $ age_0_4 &lt;dbl&gt; 15, 0, 6, 12, 31, 2, 0, 2, 80, 31, 14, 0, 4, 21, 36, 2, 0, 0, 103, 19, 35, 0, 3, 19, 66, 2, …
## $ age_25_49 &lt;dbl&gt; NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ age_25_64 &lt;dbl&gt; 7, 3, 7, 23, 24, 1, 4, 0, 76, 12, 14, 2, 19, 7, 23, 2, 0, 1, 76, 7, 15, 0, 17, 15, 29, 2, 3,…
## $ age_5_24 &lt;dbl&gt; 22, 0, 15, 11, 30, 2, 18, 3, 74, 30, 29, 0, 16, 14, 41, 2, 13, 8, 84, 35, 35, 0, 24, 18, 75,…
## $ age_50_64 &lt;dbl&gt; NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ age_65 &lt;dbl&gt; 0, 0, 4, 0, 4, 0, 5, 0, 13, 3, 0, 0, 3, 2, 4, 0, 2, 0, 11, 1, 0, 1, 2, 2, 16, 0, 2, 0, 9, 2,…
## $ ilitotal &lt;dbl&gt; 44, 3, 32, 46, 89, 5, 27, 5, 243, 76, 57, 2, 42, 44, 104, 6, 15, 9, 274, 62, 85, 1, 46, 54, …
## $ num_of_providers &lt;dbl&gt; 32, 7, 16, 29, 49, 4, 14, 5, 23, 13, 29, 7, 17, 31, 48, 4, 14, 6, 23, 12, 40, 7, 15, 33, 64,…
## $ total_patients &lt;dbl&gt; 7053, 780, 2385, 10222, 9875, 669, 2342, 1183, 10758, 1575, 6987, 872, 2740, 11310, 9618, 68…
## $ week_start &lt;date&gt; 1997-09-28, 1997-09-28, 1997-09-28, 1997-09-28, 1997-09-28, 1997-09-28, 1997-09-28, 1997-09…
## # A tibble: 11,110 x 16
## region_type region year week weighted_ili unweighted_ili age_0_4 age_25_49 age_25_64 age_5_24 age_50_64 age_65
## &lt;chr&gt; &lt;fct&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 HHS Regions Regio… 1997 40 0.499 0.624 15 NA 7 22 NA 0
## 2 HHS Regions Regio… 1997 40 0.375 0.385 0 NA 3 0 NA 0
## 3 HHS Regions Regio… 1997 40 1.35 1.34 6 NA 7 15 NA 4
## 4 HHS Regions Regio… 1997 40 0.400 0.450 12 NA 23 11 NA 0
## 5 HHS Regions Regio… 1997 40 1.23 0.901 31 NA 24 30 NA 4
## 6 HHS Regions Regio… 1997 40 1.02 0.747 2 NA 1 2 NA 0
## 7 HHS Regions Regio… 1997 40 0.872 1.15 0 NA 4 18 NA 5
## 8 HHS Regions Regio… 1997 40 0.516 0.423 2 NA 0 3 NA 0
## 9 HHS Regions Regio… 1997 40 1.81 2.26 80 NA 76 74 NA 13
## 10 HHS Regions Regio… 1997 40 4.74 4.83 31 NA 12 30 NA 3
## # … with 11,100 more rows, and 4 more variables: ilitotal &lt;dbl&gt;, num_of_providers &lt;dbl&gt;, total_patients &lt;dbl&gt;,
## # week_start &lt;date&gt;</code></pre>
<p><img src="index_files/figure-html/ili-df-2.png" width="700"></p>
<pre><code>## Observations: 9,999
## Variables: 16
## $ region_type &lt;chr&gt; "Census Regions", "Census Regions", "Census Regions", "Census Regions", "Census Regions", "C…
## $ region &lt;chr&gt; "New England", "Mid-Atlantic", "East North Central", "West North Central", "South Atlantic",…
## $ year &lt;int&gt; 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 1997, 19…
## $ week &lt;int&gt; 40, 40, 40, 40, 40, 40, 40, 40, 40, 41, 41, 41, 41, 41, 41, 41, 41, 41, 42, 42, 42, 42, 42, …
## $ weighted_ili &lt;dbl&gt; 0.4985350, 0.8441440, 0.7924860, 1.7640500, 0.5026620, 0.0542283, 1.0189800, 2.2587800, 2.04…
## $ unweighted_ili &lt;dbl&gt; 0.6238480, 1.3213800, 0.8187380, 1.2793900, 0.7233800, 0.0688705, 0.7473840, 2.2763300, 3.23…
## $ age_0_4 &lt;dbl&gt; 15, 4, 28, 3, 14, 0, 2, 87, 26, 14, 4, 36, 0, 21, 0, 2, 93, 29, 35, 3, 65, 1, 19, 0, 2, 84, …
## $ age_25_49 &lt;dbl&gt; NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ age_25_64 &lt;dbl&gt; 7, 8, 20, 8, 22, 3, 1, 71, 17, 14, 13, 23, 1, 14, 1, 2, 72, 11, 15, 11, 27, 5, 21, 0, 2, 55,…
## $ age_5_24 &lt;dbl&gt; 22, 12, 28, 20, 14, 0, 2, 71, 36, 29, 8, 39, 18, 22, 0, 2, 80, 44, 35, 16, 74, 9, 24, 2, 2, …
## $ age_50_64 &lt;dbl&gt; NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ age_65 &lt;dbl&gt; 0, 4, 3, 6, 0, 0, 0, 15, 1, 0, 2, 2, 4, 3, 0, 0, 10, 2, 0, 3, 12, 6, 2, 0, 0, 9, 2, 0, 1, 14…
## $ ilitotal &lt;dbl&gt; 44, 28, 79, 37, 50, 3, 5, 244, 80, 57, 27, 100, 23, 60, 1, 6, 255, 86, 85, 33, 178, 21, 66, …
## $ num_of_providers &lt;dbl&gt; 32, 13, 47, 17, 30, 9, 4, 16, 24, 29, 13, 46, 17, 32, 10, 4, 17, 23, 40, 12, 62, 16, 33, 10,…
## $ total_patients &lt;dbl&gt; 7053, 2119, 9649, 2892, 6912, 4356, 669, 10719, 2473, 6987, 2384, 9427, 2823, 7591, 4947, 68…
## $ week_start &lt;date&gt; 1997-09-28, 1997-09-28, 1997-09-28, 1997-09-28, 1997-09-28, 1997-09-28, 1997-09-28, 1997-09…
## # A tibble: 9,999 x 16
## region_type region year week weighted_ili unweighted_ili age_0_4 age_25_49 age_25_64 age_5_24 age_50_64 age_65
## &lt;chr&gt; &lt;chr&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 Census Reg… New E… 1997 40 0.499 0.624 15 NA 7 22 NA 0
## 2 Census Reg… Mid-A… 1997 40 0.844 1.32 4 NA 8 12 NA 4
## 3 Census Reg… East … 1997 40 0.792 0.819 28 NA 20 28 NA 3
## 4 Census Reg… West … 1997 40 1.76 1.28 3 NA 8 20 NA 6
## 5 Census Reg… South… 1997 40 0.503 0.723 14 NA 22 14 NA 0
## 6 Census Reg… East … 1997 40 0.0542 0.0689 0 NA 3 0 NA 0
## 7 Census Reg… West … 1997 40 1.02 0.747 2 NA 1 2 NA 0
## 8 Census Reg… Mount… 1997 40 2.26 2.28 87 NA 71 71 NA 15
## 9 Census Reg… Pacif… 1997 40 2.05 3.23 26 NA 17 36 NA 1
## 10 Census Reg… New E… 1997 41 0.643 0.816 14 NA 14 29 NA 0
## # … with 9,989 more rows, and 4 more variables: ilitotal &lt;dbl&gt;, num_of_providers &lt;dbl&gt;, total_patients &lt;dbl&gt;,
## # week_start &lt;date&gt;</code></pre>
<p><img src="index_files/figure-html/ili-df-3.png" width="700"></p>
<pre><code>## Observations: 23,120
## Variables: 16
## $ region_type &lt;chr&gt; "States", "States", "States", "States", "States", "States", "States", "States", "States", "S…
## $ region &lt;chr&gt; "Alabama", "Alaska", "Arizona", "Arkansas", "California", "Colorado", "Connecticut", "Delawa…
## $ year &lt;int&gt; 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 20…
## $ week &lt;int&gt; 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, …
## $ weighted_ili &lt;dbl&gt; NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ unweighted_ili &lt;dbl&gt; 2.1347700, 0.8751460, 0.6747210, 0.6960560, 1.9541200, 0.6606840, 0.0783085, 0.1001250, 2.80…
## $ age_0_4 &lt;dbl&gt; NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ age_25_49 &lt;dbl&gt; NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ age_25_64 &lt;dbl&gt; NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ age_5_24 &lt;dbl&gt; NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ age_50_64 &lt;dbl&gt; NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ age_65 &lt;dbl&gt; NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ ilitotal &lt;dbl&gt; 249, 15, 172, 18, 632, 134, 3, 4, 73, NA, 647, 20, 19, 505, 65, 10, 39, 19, 391, 22, 117, 16…
## $ num_of_providers &lt;dbl&gt; 35, 7, 49, 15, 112, 14, 12, 13, 4, NA, 62, 18, 12, 74, 44, 6, 40, 14, 41, 30, 17, 56, 47, 17…
## $ total_patients &lt;dbl&gt; 11664, 1714, 25492, 2586, 32342, 20282, 3831, 3995, 2599, NA, 40314, 1943, 4579, 39390, 1252…
## $ week_start &lt;date&gt; 2010-10-03, 2010-10-03, 2010-10-03, 2010-10-03, 2010-10-03, 2010-10-03, 2010-10-03, 2010-10…
## # A tibble: 23,120 x 16
## region_type region year week weighted_ili unweighted_ili age_0_4 age_25_49 age_25_64 age_5_24 age_50_64 age_65
## &lt;chr&gt; &lt;chr&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 States Alaba… 2010 40 NA 2.13 NA NA NA NA NA NA
## 2 States Alaska 2010 40 NA 0.875 NA NA NA NA NA NA
## 3 States Arizo… 2010 40 NA 0.675 NA NA NA NA NA NA
## 4 States Arkan… 2010 40 NA 0.696 NA NA NA NA NA NA
## 5 States Calif… 2010 40 NA 1.95 NA NA NA NA NA NA
## 6 States Color… 2010 40 NA 0.661 NA NA NA NA NA NA
## 7 States Conne… 2010 40 NA 0.0783 NA NA NA NA NA NA
## 8 States Delaw… 2010 40 NA 0.100 NA NA NA NA NA NA
## 9 States Distr… 2010 40 NA 2.81 NA NA NA NA NA NA
## 10 States Flori… 2010 40 NA NA NA NA NA NA NA NA
## # … with 23,110 more rows, and 4 more variables: ilitotal &lt;dbl&gt;, num_of_providers &lt;dbl&gt;, total_patients &lt;dbl&gt;,
## # week_start &lt;date&gt;</code></pre>
<p><img src="index_files/figure-html/ili-df-4.png" width="700"></p>
</div>
<div id="retrieve-weekly-state-level-ili-indicators-per-state-for-a-given-season" class="section level3">
<h3 class="hasAnchor">
<a href="#retrieve-weekly-state-level-ili-indicators-per-state-for-a-given-season" class="anchor"></a>Retrieve weekly state-level ILI indicators per-state for a given season</h3>
<div class="sourceCode" id="cb32"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb32-1" data-line-number="1"><span class="kw"><a href="reference/ili_weekly_activity_indicators.html">ili_weekly_activity_indicators</a></span>(<span class="dv">2017</span>)</a></code></pre></div>
<pre><code>## # A tibble: 2,805 x 8
## statename url website activity_level activity_level_l… weekend season weeknumber
## * &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;dbl&gt; &lt;chr&gt; &lt;date&gt; &lt;chr&gt; &lt;dbl&gt;
## 1 Alabama http://adph.org/influenza/ Influenza Sur… 2 Minimal 2017-10-07 2017-… 40
## 2 Alaska "http://dhss.alaska.gov/dp… Influenza Sur… 1 Minimal 2017-10-07 2017-… 40
## 3 Arizona http://www.azdhs.gov/phs/o… Influenza &amp; R… 2 Minimal 2017-10-07 2017-… 40
## 4 Arkansas http://www.healthy.arkansa… Communicable … 1 Minimal 2017-10-07 2017-… 40
## 5 California https://www.cdph.ca.gov/Pr… Influenza (Fl… 2 Minimal 2017-10-07 2017-… 40
## 6 Colorado https://www.colorado.gov/p… Influenza Sur… 1 Minimal 2017-10-07 2017-… 40
## 7 Connecticut http://www.portal.ct.gov/D… Flu Statistics 1 Minimal 2017-10-07 2017-… 40
## 8 Delaware http://dhss.delaware.gov/d… Weekly Influe… 1 Minimal 2017-10-07 2017-… 40
## 9 District of… http://doh.dc.gov/page/inf… Influenza Inf… 2 Minimal 2017-10-07 2017-… 40
## 10 Florida "http://www.floridahealth.… Weekly Influe… 1 Minimal 2017-10-07 2017-… 40
## # … with 2,795 more rows</code></pre>
<div class="sourceCode" id="cb34"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb34-1" data-line-number="1">xdf &lt;-<span class="st"> </span><span class="kw">map_df</span>(<span class="dv">2008</span><span class="op">:</span><span class="dv">2017</span>, ili_weekly_activity_indicators)</a>
<a class="sourceLine" id="cb34-2" data-line-number="2"></a>
<a class="sourceLine" id="cb34-3" data-line-number="3"><span class="kw">count</span>(xdf, weekend, activity_level_label) <span class="op">%&gt;%</span><span class="st"> </span></a>
<a class="sourceLine" id="cb34-4" data-line-number="4"><span class="st"> </span><span class="kw">complete</span>(weekend, activity_level_label) <span class="op">%&gt;%</span><span class="st"> </span></a>
<a class="sourceLine" id="cb34-5" data-line-number="5"><span class="st"> </span><span class="kw">ggplot</span>(<span class="kw">aes</span>(weekend, activity_level_label, <span class="dt">fill=</span>n)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb34-6" data-line-number="6"><span class="st"> </span><span class="kw">geom_tile</span>(<span class="dt">color=</span><span class="st">"#c2c2c2"</span>, <span class="dt">size=</span><span class="fl">0.1</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb34-7" data-line-number="7"><span class="st"> </span><span class="kw">scale_x_date</span>(<span class="dt">expand=</span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="dv">0</span>,<span class="dv">0</span>)) <span class="op">+</span></a>
<a class="sourceLine" id="cb34-8" data-line-number="8"><span class="st"> </span>viridis<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/viridis/topics/scale_viridis">scale_fill_viridis</a></span>(<span class="dt">name=</span><span class="st">"# States"</span>, <span class="dt">na.value=</span><span class="st">"White"</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb34-9" data-line-number="9"><span class="st"> </span><span class="kw">labs</span>(<span class="dt">x=</span><span class="ot">NULL</span>, <span class="dt">y=</span><span class="ot">NULL</span>, <span class="dt">title=</span><span class="st">"Weekly ILI Indicators (all states)"</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb34-10" data-line-number="10"><span class="st"> </span><span class="kw">coord_fixed</span>(<span class="dv">100</span><span class="op">/</span><span class="dv">1</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb34-11" data-line-number="11"><span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/hrbrthemes/topics/theme_ipsum_rc">theme_ipsum_rc</a></span>(<span class="dt">grid=</span><span class="st">""</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb34-12" data-line-number="12"><span class="st"> </span><span class="kw">theme</span>(<span class="dt">legend.position=</span><span class="st">"bottom"</span>)</a></code></pre></div>
<p><img src="index_files/figure-html/ili-weekly-activity-1.png" width="960"></p>
</div>
<div id="pneumonia-and-influenza-mortality-surveillance" class="section level3">
<h3 class="hasAnchor">
<a href="#pneumonia-and-influenza-mortality-surveillance" class="anchor"></a>Pneumonia and Influenza Mortality Surveillance</h3>
<div class="sourceCode" id="cb35"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb35-1" data-line-number="1">(nat_pi &lt;-<span class="st"> </span><span class="kw"><a href="reference/pi_mortality.html">pi_mortality</a></span>(<span class="st">"national"</span>))</a></code></pre></div>
<pre><code>## # A tibble: 483 x 19
## seasonid baseline threshold percent_pni percent_complete number_influenza number_pneumonia all_deaths total_pni
## &lt;chr&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 58 0.055 0.0580 0.0560 1 10 2880 51416 2890
## 2 58 0.0560 0.059 0.055 1 12 2765 50411 2777
## 3 58 0.0560 0.06 0.0560 1 18 2802 50742 2820
## 4 58 0.057 0.061 0.057 1 22 2895 51425 2917
## 5 58 0.0580 0.062 0.0560 1 23 2819 51136 2842
## 6 58 0.059 0.063 0.0560 1 28 2819 50945 2847
## 7 58 0.06 0.064 0.0580 1 25 2953 51618 2978
## 8 58 0.061 0.065 0.057 1 31 2905 51109 2936
## 9 58 0.062 0.066 0.059 1 34 2923 49720 2957
## 10 58 0.064 0.067 0.06 1 48 2857 48381 2905
## # … with 473 more rows, and 10 more variables: weeknumber &lt;chr&gt;, geo_description &lt;chr&gt;, age_label &lt;chr&gt;,
## # wk_start &lt;date&gt;, wk_end &lt;date&gt;, year_wk_num &lt;int&gt;, mmwrid &lt;chr&gt;, coverage_area &lt;chr&gt;, region_name &lt;chr&gt;,
## # callout &lt;chr&gt;</code></pre>
<div class="sourceCode" id="cb37"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb37-1" data-line-number="1"><span class="kw">select</span>(nat_pi, wk_end, percent_pni, baseline, threshold) <span class="op">%&gt;%</span><span class="st"> </span></a>
<a class="sourceLine" id="cb37-2" data-line-number="2"><span class="st"> </span><span class="kw">gather</span>(measure, value, <span class="op">-</span>wk_end) <span class="op">%&gt;%</span><span class="st"> </span></a>
<a class="sourceLine" id="cb37-3" data-line-number="3"><span class="st"> </span><span class="kw">ggplot</span>(<span class="kw">aes</span>(wk_end, value)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb37-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_line</span>(<span class="kw">aes</span>(<span class="dt">group=</span>measure, <span class="dt">color=</span>measure)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb37-5" data-line-number="5"><span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/hrbrthemes/topics/scale_x_percent">scale_y_percent</a></span>() <span class="op">+</span></a>
<a class="sourceLine" id="cb37-6" data-line-number="6"><span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/hrbrthemes/topics/scale_ipsum">scale_color_ipsum</a></span>(<span class="dt">name =</span> <span class="ot">NULL</span>, <span class="dt">labels=</span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"Baseline"</span>, <span class="st">"Percent P&amp;I"</span>, <span class="st">"Threshold"</span>)) <span class="op">+</span></a>
<a class="sourceLine" id="cb37-7" data-line-number="7"><span class="st"> </span><span class="kw">labs</span>(<span class="dt">x=</span><span class="ot">NULL</span>, <span class="dt">y=</span><span class="st">"% of all deaths due to P&amp;I"</span>,</a>
<a class="sourceLine" id="cb37-8" data-line-number="8"> <span class="dt">title=</span><span class="st">"Percentage of all deaths due to pneumonia and influenza, National Summary"</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb37-9" data-line-number="9"><span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/hrbrthemes/topics/theme_ipsum_rc">theme_ipsum_rc</a></span>(<span class="dt">grid=</span><span class="st">"XY"</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb37-10" data-line-number="10"><span class="st"> </span><span class="kw">theme</span>(<span class="dt">legend.position=</span><span class="st">"bottom"</span>)</a></code></pre></div>
<p><img src="index_files/figure-html/nat-pi-mortality-1.png" width="700"></p>
<div class="sourceCode" id="cb38"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb38-1" data-line-number="1">(st_pi &lt;-<span class="st"> </span><span class="kw"><a href="reference/pi_mortality.html">pi_mortality</a></span>(<span class="st">"state"</span>, <span class="dt">years=</span><span class="dv">2015</span>))</a></code></pre></div>
<pre><code>## # A tibble: 2,704 x 19
## seasonid baseline threshold percent_pni percent_complete number_influenza number_pneumonia all_deaths total_pni
## &lt;chr&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 55 NA NA 0.047 1 0 46 979 46
## 2 55 NA NA 0.038 0.963 0 34 889 34
## 3 55 NA NA 0.053 1 0 52 978 52
## 4 55 NA NA 0.07 1 0 68 968 68
## 5 55 NA NA 0.053 0.981 0 48 906 48
## 6 55 NA NA 0.0580 1 0 56 968 56
## 7 55 NA NA 0.051 1 0 53 1041 53
## 8 55 NA NA 0.062 1 1 63 1031 64
## 9 55 NA NA 0.0560 1 0 55 976 55
## 10 55 NA NA 0.054 1 0 56 1045 56
## # … with 2,694 more rows, and 10 more variables: weeknumber &lt;chr&gt;, geo_description &lt;chr&gt;, age_label &lt;chr&gt;,
## # wk_start &lt;date&gt;, wk_end &lt;date&gt;, year_wk_num &lt;int&gt;, mmwrid &lt;chr&gt;, coverage_area &lt;chr&gt;, region_name &lt;chr&gt;,
## # callout &lt;chr&gt;</code></pre>
<div class="sourceCode" id="cb40"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb40-1" data-line-number="1">(reg_pi &lt;-<span class="st"> </span><span class="kw"><a href="reference/pi_mortality.html">pi_mortality</a></span>(<span class="st">"region"</span>, <span class="dt">years=</span><span class="dv">2015</span>))</a></code></pre></div>
<pre><code>## # A tibble: 520 x 19
## seasonid baseline threshold percent_pni percent_complete number_influenza number_pneumonia all_deaths total_pni
## &lt;chr&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 55 0.065 0.072 0.07 1 0 178 2525 178
## 2 55 0.065 0.073 0.064 1 0 160 2512 160
## 3 55 0.066 0.074 0.0580 1 1 141 2457 142
## 4 55 0.067 0.075 0.07 1 0 171 2426 171
## 5 55 0.068 0.076 0.065 1 2 166 2565 168
## 6 55 0.069 0.077 0.067 1 1 162 2415 163
## 7 55 0.071 0.078 0.079 1 0 198 2491 198
## 8 55 0.072 0.08 0.072 1 1 176 2469 177
## 9 55 0.073 0.081 0.067 1 3 154 2353 157
## 10 55 0.075 0.0820 0.062 1 0 151 2441 151
## # … with 510 more rows, and 10 more variables: weeknumber &lt;chr&gt;, geo_description &lt;chr&gt;, age_label &lt;chr&gt;,
## # wk_start &lt;date&gt;, wk_end &lt;date&gt;, year_wk_num &lt;int&gt;, mmwrid &lt;chr&gt;, coverage_area &lt;chr&gt;, region_name &lt;chr&gt;,
## # callout &lt;chr&gt;</code></pre>
</div>
<div id="retrieve-metadata-about-u-s--state-cdc-provider-data" class="section level3">
<h3 class="hasAnchor">
<a href="#retrieve-metadata-about-u-s--state-cdc-provider-data" class="anchor"></a>Retrieve metadata about U.S. State CDC Provider Data</h3>
<div class="sourceCode" id="cb42"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb42-1" data-line-number="1"><span class="kw"><a href="reference/state_data_providers.html">state_data_providers</a></span>()</a></code></pre></div>
<pre><code>## # A tibble: 59 x 5
## statename statehealthdeptname url statewebsitename statefluphonenum
## * &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt;
## 1 Alabama Alabama Department of Publi… http://adph.org/influenza/ Influenza Surveillance 334-206-5300
## 2 Alaska State of Alaska Health and … "http://dhss.alaska.gov/dph/Epi/… Influenza Surveillance… 907-269-8000
## 3 Arizona Arizona Department of Healt… http://www.azdhs.gov/phs/oids/ep… Influenza &amp; RSV Survei… 602-542-1025
## 4 Arkansas Arkansas Department of Heal… http://www.healthy.arkansas.gov/… Communicable Disease a… 501-661-2000
## 5 California California Department of Pu… https://www.cdph.ca.gov/Programs… Influenza (Flu) 916-558-1784
## 6 Colorado Colorado Department of Publ… https://www.colorado.gov/pacific… Influenza Surveillance 303-692-2000
## 7 Connecticut Connecticut Department of P… http://www.portal.ct.gov/DPH/Inf… Flu Statistics 860-509-8000
## 8 Delaware Delaware Health and Social … http://dhss.delaware.gov/dhss/dp… Weekly Influenza Surve… 302-744-4700
## 9 District of … District of Columbia Depart… http://doh.dc.gov/page/influenza… Influenza Information 202-442-5955
## 10 Florida Florida Department of Health "http://www.floridahealth.gov/di… Weekly Influenza Surve… 850-245-4300
## # … with 49 more rows</code></pre>
</div>
<div id="retrieve-whonrevss-surveillance-data" class="section level3">
<h3 class="hasAnchor">
<a href="#retrieve-whonrevss-surveillance-data" class="anchor"></a>Retrieve WHO/NREVSS Surveillance Data</h3>
<div class="sourceCode" id="cb44"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb44-1" data-line-number="1"><span class="kw">glimpse</span>(xdat &lt;-<span class="st"> </span><span class="kw"><a href="reference/who_nrevss.html">who_nrevss</a></span>(<span class="st">"national"</span>))</a></code></pre></div>
<pre><code>## List of 3
## $ combined_prior_to_2015_16:Classes 'tbl_df', 'tbl' and 'data.frame': 940 obs. of 14 variables:
## ..$ region_type : chr [1:940] "National" "National" "National" "National" ...
## ..$ region : chr [1:940] "National" "National" "National" "National" ...
## ..$ year : int [1:940] 1997 1997 1997 1997 1997 1997 1997 1997 1997 1997 ...
## ..$ week : int [1:940] 40 41 42 43 44 45 46 47 48 49 ...
## ..$ total_specimens : int [1:940] 1291 1513 1552 1669 1897 2106 2204 2533 2242 2607 ...
## ..$ percent_positive : num [1:940] 0 0.727 1.095 0.419 0.527 ...
## ..$ a_2009_h1n1 : int [1:940] 0 0 0 0 0 0 0 0 0 0 ...
## ..$ a_h1 : int [1:940] 0 0 0 0 0 0 0 0 0 0 ...
## ..$ a_h3 : int [1:940] 0 0 3 0 9 0 3 5 14 11 ...
## ..$ a_subtyping_not_performed: int [1:940] 0 11 13 7 1 6 4 17 22 28 ...
## ..$ a_unable_to_subtype : int [1:940] 0 0 0 0 0 0 0 0 0 0 ...
## ..$ b : int [1:940] 0 0 1 0 0 0 1 1 1 1 ...
## ..$ h3n2v : int [1:940] 0 0 0 0 0 0 0 0 0 0 ...
## ..$ wk_date : Date[1:940], format: "1997-09-28" "1997-10-05" "1997-10-12" "1997-10-19" ...
## $ public_health_labs :Classes 'tbl_df', 'tbl' and 'data.frame': 171 obs. of 13 variables:
## ..$ region_type : chr [1:171] "National" "National" "National" "National" ...
## ..$ region : chr [1:171] "National" "National" "National" "National" ...
## ..$ year : int [1:171] 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 ...
## ..$ week : int [1:171] 40 41 42 43 44 45 46 47 48 49 ...
## ..$ total_specimens : int [1:171] 1139 1152 1198 1244 1465 1393 1458 1157 1550 1518 ...
## ..$ a_2009_h1n1 : int [1:171] 4 5 10 9 4 11 17 17 27 38 ...
## ..$ a_h3 : int [1:171] 65 41 50 31 23 34 42 24 36 37 ...
## ..$ a_subtyping_not_performed: int [1:171] 2 2 1 4 4 1 1 0 3 3 ...
## ..$ b : int [1:171] 10 7 8 9 9 10 4 4 9 11 ...
## ..$ bvic : int [1:171] 0 3 3 1 1 4 0 3 3 2 ...
## ..$ byam : int [1:171] 1 0 2 4 4 2 4 9 12 11 ...
## ..$ h3n2v : int [1:171] 0 0 0 0 0 0 0 0 0 0 ...
## ..$ wk_date : Date[1:171], format: "2015-10-04" "2015-10-11" "2015-10-18" "2015-10-25" ...
## $ clinical_labs :Classes 'tbl_df', 'tbl' and 'data.frame': 171 obs. of 11 variables:
## ..$ region_type : chr [1:171] "National" "National" "National" "National" ...
## ..$ region : chr [1:171] "National" "National" "National" "National" ...
## ..$ year : int [1:171] 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 ...
## ..$ week : int [1:171] 40 41 42 43 44 45 46 47 48 49 ...
## ..$ total_specimens : int [1:171] 12029 13111 13441 13537 14687 15048 15250 15234 16201 16673 ...
## ..$ total_a : int [1:171] 84 116 97 98 97 122 84 119 145 140 ...
## ..$ total_b : int [1:171] 43 54 52 52 68 86 98 92 81 106 ...
## ..$ percent_positive: num [1:171] 1.06 1.3 1.11 1.11 1.12 ...
## ..$ percent_a : num [1:171] 0.698 0.885 0.722 0.724 0.66 ...
## ..$ percent_b : num [1:171] 0.357 0.412 0.387 0.384 0.463 ...
## ..$ wk_date : Date[1:171], format: "2015-10-04" "2015-10-11" "2015-10-18" "2015-10-25" ...</code></pre>
<div class="sourceCode" id="cb46"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb46-1" data-line-number="1"><span class="kw">mutate</span>(xdat<span class="op">$</span>combined_prior_to_<span class="dv">2015</span>_<span class="dv">16</span>, </a>
<a class="sourceLine" id="cb46-2" data-line-number="2"> <span class="dt">percent_positive =</span> percent_positive <span class="op">/</span><span class="st"> </span><span class="dv">100</span>) <span class="op">%&gt;%</span><span class="st"> </span></a>
<a class="sourceLine" id="cb46-3" data-line-number="3"><span class="st"> </span><span class="kw">ggplot</span>(<span class="kw">aes</span>(wk_date, percent_positive)) <span class="op">+</span></a>
<a class="sourceLine" id="cb46-4" data-line-number="4"><span class="st"> </span><span class="kw">geom_line</span>() <span class="op">+</span></a>
<a class="sourceLine" id="cb46-5" data-line-number="5"><span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/hrbrthemes/topics/scale_x_percent">scale_y_percent</a></span>(<span class="dt">name=</span><span class="st">"% Positive"</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb46-6" data-line-number="6"><span class="st"> </span><span class="kw">labs</span>(<span class="dt">x=</span><span class="ot">NULL</span>, <span class="dt">title=</span><span class="st">"WHO/NREVSS Surveillance Data (National)"</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb46-7" data-line-number="7"><span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/hrbrthemes/topics/theme_ipsum_rc">theme_ipsum_rc</a></span>(<span class="dt">grid=</span><span class="st">"XY"</span>)</a></code></pre></div>
<p><img src="index_files/figure-html/who-vrevss-1.png" width="700"></p>
<div class="sourceCode" id="cb47"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb47-1" data-line-number="1"><span class="kw"><a href="reference/who_nrevss.html">who_nrevss</a></span>(<span class="st">"hhs"</span>, <span class="dt">years=</span><span class="dv">2016</span>)</a></code></pre></div>
<pre><code>## $public_health_labs
## # A tibble: 520 x 13
## region_type region year week total_specimens a_2009_h1n1 a_h3 a_subtyping_not… b bvic byam h3n2v wk_date
## &lt;chr&gt; &lt;chr&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;date&gt;
## 1 HHS Regions Region… 2016 40 31 0 6 0 0 0 0 0 2016-10-02
## 2 HHS Regions Region… 2016 40 31 0 6 0 0 2 0 0 2016-10-02
## 3 HHS Regions Region… 2016 40 112 2 2 0 0 0 0 0 2016-10-02
## 4 HHS Regions Region… 2016 40 112 1 11 0 1 2 0 0 2016-10-02
## 5 HHS Regions Region… 2016 40 204 0 7 0 0 0 1 0 2016-10-02
## 6 HHS Regions Region… 2016 40 39 1 1 0 0 0 0 0 2016-10-02
## 7 HHS Regions Region… 2016 40 24 0 2 0 0 1 0 0 2016-10-02
## 8 HHS Regions Region… 2016 40 46 2 8 0 0 0 0 0 2016-10-02
## 9 HHS Regions Region… 2016 40 186 3 27 0 0 0 3 0 2016-10-02
## 10 HHS Regions Region… 2016 40 113 0 17 0 0 0 0 0 2016-10-02
## # … with 510 more rows
##
## $clinical_labs
## # A tibble: 520 x 11
## region_type region year week total_specimens total_a total_b percent_positive percent_a percent_b wk_date
## &lt;chr&gt; &lt;chr&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;date&gt;
## 1 HHS Regions Region 1 2016 40 654 5 1 0.917 0.765 0.153 2016-10-02
## 2 HHS Regions Region 2 2016 40 1307 10 3 0.995 0.765 0.230 2016-10-02
## 3 HHS Regions Region 3 2016 40 941 1 4 0.531 0.106 0.425 2016-10-02
## 4 HHS Regions Region 4 2016 40 2960 46 63 3.68 1.55 2.13 2016-10-02
## 5 HHS Regions Region 5 2016 40 2386 8 5 0.545 0.335 0.210 2016-10-02
## 6 HHS Regions Region 6 2016 40 1914 22 13 1.83 1.15 0.679 2016-10-02
## 7 HHS Regions Region 7 2016 40 723 0 0 0 0 0 2016-10-02
## 8 HHS Regions Region 8 2016 40 913 8 0 0.876 0.876 0 2016-10-02
## 9 HHS Regions Region 9 2016 40 992 6 1 0.706 0.605 0.101 2016-10-02
## 10 HHS Regions Region 10 2016 40 590 14 0 2.37 2.37 0 2016-10-02
## # … with 510 more rows</code></pre>
<div class="sourceCode" id="cb49"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb49-1" data-line-number="1"><span class="kw"><a href="reference/who_nrevss.html">who_nrevss</a></span>(<span class="st">"census"</span>, <span class="dt">years=</span><span class="dv">2016</span>)</a></code></pre></div>
<pre><code>## $public_health_labs
## # A tibble: 468 x 13
## region_type region year week total_specimens a_2009_h1n1 a_h3 a_subtyping_not… b bvic byam h3n2v wk_date
## &lt;chr&gt; &lt;chr&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;date&gt;
## 1 Census Regi… New E… 2016 40 31 0 6 0 0 0 0 0 2016-10-02
## 2 Census Regi… Mid-A… 2016 40 50 0 8 0 0 2 0 0 2016-10-02
## 3 Census Regi… East … 2016 40 139 0 4 0 0 0 1 0 2016-10-02
## 4 Census Regi… West … 2016 40 103 0 6 0 0 1 0 0 2016-10-02
## 5 Census Regi… South… 2016 40 181 3 11 0 1 2 0 0 2016-10-02
## 6 Census Regi… East … 2016 40 24 0 0 0 0 0 0 0 2016-10-02
## 7 Census Regi… West … 2016 40 27 0 1 0 0 0 0 0 2016-10-02
## 8 Census Regi… Mount… 2016 40 54 3 10 0 0 0 1 0 2016-10-02
## 9 Census Regi… Pacif… 2016 40 289 3 41 0 0 0 2 0 2016-10-02
## 10 Census Regi… New E… 2016 41 14 0 2 0 0 0 0 0 2016-10-09
## # … with 458 more rows
##
## $clinical_labs
## # A tibble: 468 x 11
## region_type region year week total_specimens total_a total_b percent_positive percent_a percent_b wk_date
## &lt;chr&gt; &lt;chr&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;date&gt;
## 1 Census Regio… New England 2016 40 654 5 1 0.917 0.765 0.153 2016-10-02
## 2 Census Regio… Mid-Atlant… 2016 40 1579 10 4 0.887 0.633 0.253 2016-10-02
## 3 Census Regio… East North… 2016 40 2176 6 5 0.506 0.276 0.230 2016-10-02
## 4 Census Regio… West North… 2016 40 1104 3 0 0.272 0.272 0 2016-10-02
## 5 Census Regio… South Atla… 2016 40 2785 43 62 3.77 1.54 2.23 2016-10-02
## 6 Census Regio… East South… 2016 40 844 4 4 0.948 0.474 0.474 2016-10-02
## 7 Census Regio… West South… 2016 40 1738 21 13 1.96 1.21 0.748 2016-10-02
## 8 Census Regio… Mountain 2016 40 1067 8 0 0.750 0.750 0 2016-10-02
## 9 Census Regio… Pacific 2016 40 1433 20 1 1.47 1.40 0.0698 2016-10-02
## 10 Census Regio… New England 2016 41 810 5 1 0.741 0.617 0.123 2016-10-09
## # … with 458 more rows</code></pre>
<div class="sourceCode" id="cb51"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb51-1" data-line-number="1"><span class="kw"><a href="reference/who_nrevss.html">who_nrevss</a></span>(<span class="st">"state"</span>, <span class="dt">years=</span><span class="dv">2016</span>)</a></code></pre></div>
<pre><code>## $public_health_labs
## # A tibble: 54 x 12
## region_type region season_descript… total_specimens a_2009_h1n1 a_h3 a_subtyping_not… b bvic byam h3n2v
## &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt;
## 1 States Alaba… Season 2016-17 570 3 227 1 2 15 14 0
## 2 States Alaska Season 2016-17 5222 14 905 3 252 2 11 0
## 3 States Arizo… Season 2016-17 2975 63 1630 0 5 227 578 0
## 4 States Arkan… Season 2016-17 121 0 51 0 0 4 0 0
## 5 States Calif… Season 2016-17 14074 184 4696 120 116 28 152 0
## 6 States Color… Season 2016-17 714 3 267 2 4 31 219 0
## 7 States Conne… Season 2016-17 1348 19 968 0 0 62 263 0
## 8 States Delaw… Season 2016-17 3090 5 659 4 11 27 127 1
## 9 States Distr… Season 2016-17 73 1 34 0 3 0 4 0
## 10 States Flori… Season 2016-17 &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; &lt;NA&gt;
## # … with 44 more rows, and 1 more variable: wk_date &lt;date&gt;
##
## $clinical_labs
## # A tibble: 2,808 x 11
## region_type region year week total_specimens total_a total_b percent_positive percent_a percent_b wk_date
## &lt;chr&gt; &lt;chr&gt; &lt;int&gt; &lt;int&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; &lt;date&gt;
## 1 States Alabama 2016 40 406 4 1 1.23 0.99 0.25 2016-10-02
## 2 States Alaska 2016 40 &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; 2016-10-02
## 3 States Arizona 2016 40 133 0 0 0 0 0 2016-10-02
## 4 States Arkansas 2016 40 47 0 0 0 0 0 2016-10-02
## 5 States California 2016 40 668 2 0 0.3 0.3 0 2016-10-02
## 6 States Colorado 2016 40 260 0 0 0 0 0 2016-10-02
## 7 States Connecticut 2016 40 199 3 0 1.51 1.51 0 2016-10-02
## 8 States Delaware 2016 40 40 0 0 0 0 0 2016-10-02
## 9 States District of … 2016 40 &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; 2016-10-02
## 10 States Florida 2016 40 &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; &lt;NA&gt; 2016-10-02
## # … with 2,798 more rows</code></pre>
</div>
</div>
<div id="cdcfluview-metrics" class="section level2">
<h2 class="hasAnchor">
<a href="#cdcfluview-metrics" class="anchor"></a>cdcfluview Metrics</h2>
<table class="table table">
<thead><tr class="header">
<th align="left">Lang</th>
<th align="right"># Files</th>
<th align="right">(%)</th>
<th align="right">LoC</th>
<th align="right">(%)</th>
<th align="right">Blank lines</th>
<th align="right">(%)</th>
<th align="right"># Lines</th>
<th align="right">(%)</th>
</tr></thead>
<tbody>
<tr class="odd">
<td align="left">R</td>
<td align="right">21</td>
<td align="right">0.91</td>
<td align="right">841</td>
<td align="right">0.88</td>
<td align="right">303</td>
<td align="right">0.80</td>
<td align="right">509</td>
<td align="right">0.85</td>
</tr>
<tr class="even">
<td align="left">Rmd</td>
<td align="right">1</td>
<td align="right">0.04</td>
<td align="right">80</td>
<td align="right">0.08</td>
<td align="right">67</td>
<td align="right">0.18</td>
<td align="right">87</td>
<td align="right">0.15</td>
</tr>
<tr class="odd">
<td align="left">make</td>
<td align="right">1</td>
<td align="right">0.04</td>
<td align="right">32</td>
<td align="right">0.03</td>
<td align="right">11</td>
<td align="right">0.03</td>
<td align="right">1</td>
<td align="right">0.00</td>
</tr>
</tbody>
</table>
</div>
<div id="code-of-conduct" class="section level2">
<h2 class="hasAnchor">
<a href="#code-of-conduct" class="anchor"></a>Code of Conduct</h2>
<p>Please note that this project is released with a <a href="CONDUCT.html">Contributor Code of Conduct</a>. By participating in this project you agree to abide by its terms.</p>
</div>
</div>
</div>

<div class="col-md-3" id="sidebar">
<div class="links">
<h2>Links</h2>
<ul class="list-unstyled">
<li>Download from CRAN at <br><a href="https://cloud.r-project.org/package=cdcfluview">https://​cloud.r-project.org/​package=cdcfluview</a>
</li>
<li>Report a bug at <br><a href="https://gitlab.com/hrbrmstr/cdcfluview/issues">https://​gitlab.com/​hrbrmstr/​cdcfluview/​issues</a>
</li>
</ul>
</div>
<div class="license">
<h2>License</h2>
<ul class="list-unstyled">
<li>
<a href="https://opensource.org/licenses/mit-license.php">MIT</a> + file <a href="LICENSE-text.html">LICENSE</a>
</li>
</ul>
</div>
<div class="developers">
<h2>Developers</h2>
<ul class="list-unstyled">
<li>Bob Rudis <br><small class="roles"> Author, maintainer </small> <a href="https://orcid.org/0000-0001-5670-2640" target="orcid.widget"><img src="https://members.orcid.org/sites/default/files/vector_iD_icon.svg" class="orcid" alt="ORCID" height="16"></a> </li>
<li><a href="authors.html">All authors...</a></li>
</ul>
</div>

<div class="dev-status">
<h2>Dev status</h2>
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<h1>Changelog <small></small></h1>
</div>

<div id="cdcfluview-0-9-0" class="section level1">
<h1 class="page-header">
<a href="#cdcfluview-0-9-0" class="anchor"></a>cdcfluview 0.9.0<small> 2019-01-24 </small>
</h1>
<ul>
<li>fix bug in epiweek computation in ilinet() thanks to a bug report by <a href='https://github.com/jturtle'>@jturtle</a> (#19)</li>
<li>included cloc metrics and refreshed README</li>
<li>
</li>
</ul>
</div>
<div id="cdcfluview-0-7-0" class="section level1">
<h1 class="page-header">
<a href="#cdcfluview-0-7-0" class="anchor"></a>cdcfluview 0.7.0<small> 2017-11-14 </small>
</h1>
<ul>
<li>The CDC changed most of their API endpoints to support a new HTML interface and re-jiggered the back-end API. Craig McGowan updated the old cdcfluview API function to account for the changes. However, the new API endpoints provided additional data features and it seemed to make sense to revamp the package to fit more in line with the way the APIs were structured. Legacy cdcfluview functions have been deprecated and will display deprecation messages when run. The new cdcfluview package API changes a few things about how you work with the data but the README and examples show how to work with it.</li>
</ul>
</div>
<div id="cdcfluview-0-5-2" class="section level1">
<h1 class="page-header">
<a href="#cdcfluview-0-5-2" class="anchor"></a>cdcfluview 0.5.2<small> Unreleased </small>
</h1>
<ul>
<li>Modified behavior of <code><a href="../reference/get_flu_data.html">get_flu_data()</a></code> to actually grab current flu season year if a single year was specified and it is the current year and the return is a 0 length data frame (fixes #7)</li>
<li>Added code coverage tests for all API functions.</li>
</ul>
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<div id="cdcfluview-0-5-1" class="section level1">
<h1 class="page-header">
<a href="#cdcfluview-0-5-1" class="anchor"></a>cdcfluview 0.5.1<small> 2016-12-07 </small>
</h1>
<ul>
<li>Replaced <code>http</code> URLs with <code>https</code> as <code>http</code> ones no longer work (fixes #6)</li>
<li>Fixed State data download (CDC changed the hidden API)</li>
</ul>
</div>
<div id="cdcfluview-0-5-0" class="section level1">
<h1 class="page-header">
<a href="#cdcfluview-0-5-0" class="anchor"></a>cdcfluview 0.5.0<small> Unreleased </small>
</h1>
<ul>
<li>Fixed issue with WHO data format change</li>
<li>Added Mortality Surveillance Data retrieval function</li>
<li>Switched to readr::read_csv() and since it handles column names better this will break your scripts until you use the new column names.</li>
</ul>
</div>
<div id="cdcfluview-0-4-0" class="section level1">
<h1 class="page-header">
<a href="#cdcfluview-0-4-0" class="anchor"></a>cdcfluview 0.4.0<small> 2015-08-09 </small>
</h1>
<ul>
<li>First CRAN release</li>
</ul>
</div>
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<h2>Contents</h2>
<ul class="nav nav-pills nav-stacked">
<li><a href="#cdcfluview-0-9-0">0.9.0</a></li>
<li><a href="#cdcfluview-0-7-0">0.7.0</a></li>
<li><a href="#cdcfluview-0-5-2">0.5.2</a></li>
<li><a href="#cdcfluview-0-5-1">0.5.1</a></li>
<li><a href="#cdcfluview-0-5-0">0.5.0</a></li>
<li><a href="#cdcfluview-0-4-0">0.4.0</a></li>
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