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Original file line number | Diff line number | Diff line change |
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--- | ||
title: New package released! Epidatr, an R client for Delphi Epidata API | ||
author: Dmitry Shemetov, David Weber | ||
date: 2023-09-27 | ||
tags: | ||
- r | ||
- epidata | ||
- covidcast | ||
authors: | ||
- dmitry | ||
- davidweb | ||
heroImage: blog-lg-epidatr.jpg | ||
heroImageThumb: blog-thumb-epidatr.jpg | ||
summary: | | ||
`epidatr` is designed to streamline the downloading and usage of data from the [Delphi Epidata API](https://cmu-delphi.github.io/delphi-epidata/). It provides a simple R interface to the API, including functions for downloading data, parsing the results, and converting the data into a tidy format. | ||
output: | ||
blogdown::html_page: | ||
toc: true | ||
--- | ||
|
||
The [Delphi Epidata API](https://cmu-delphi.github.io/delphi-epidata/) provides | ||
real-time access to epidemiological surveillance data for influenza, COVID-19, | ||
and other diseases from both official government sources such as the [Centers | ||
for Disease Control and Prevention | ||
(CDC)](https://www.cdc.gov/datastatistics/index.html), private partners such as | ||
[Facebook (now | ||
Meta)](https://delphi.cmu.edu/blog/2020/08/26/covid-19-symptom-surveys-through-facebook/) | ||
and [Change Healthcare](https://www.changehealthcare.com/), and other public | ||
datasets like [Google | ||
Trends](https://console.cloud.google.com/marketplace/product/bigquery-public-datasets/covid19-search-trends). | ||
It is built and maintained by the Carnegie Mellon University [Delphi Research | ||
Group](https://delphi.cmu.edu/). | ||
|
||
Today we introduce the R package `epidatr`, available [on | ||
CRAN](https://cloud.r-project.org/web/packages/epidatr/index.html), with the | ||
source and development [on github](https://github.com/cmu-delphi/epidatr). | ||
|
||
This package is designed to streamline the downloading and usage of data from | ||
the Delphi Epidata API. It provides a simple R interface to the API, including | ||
functions for downloading data, parsing the results, and converting the data | ||
into a tidy format. The API stores a historical record of all data, including | ||
corrections and updates, which is particularly useful for accurately backtesting | ||
forecasting models. We also provide packages for downstream data processing | ||
([epiprocess](https://github.com/cmu-delphi/epiprocess)) and modeling | ||
([epipredict](https://github.com/cmu-delphi/epipredict)). | ||
|
||
## Usage | ||
|
||
``` | ||
library(epidatr) | ||
# Obtain the smoothed covid-like illness (CLI) signal from Delphi's US COVID-19 | ||
# Trends and Impact Survey (CTIS), in partnership with Facebook, as it was on | ||
# April 10, 2021 for the US at the national level | ||
epidata <- pub_covidcast( | ||
source = "fb-survey", | ||
signals = "smoothed_cli", | ||
geo_type = "nation", | ||
time_type = "day", | ||
geo_values = "us", | ||
time_values = epirange(20210101, 20210601), | ||
as_of = 20210601 | ||
) | ||
epidata | ||
``` | ||
|
||
``` | ||
# A tibble: 151 × 15 | ||
geo_value signal source geo_type time_type time_value | ||
<chr> <chr> <chr> <fct> <fct> <date> | ||
1 us smoothed_cli fb-su… nation day 2021-01-01 | ||
2 us smoothed_cli fb-su… nation day 2021-01-02 | ||
3 us smoothed_cli fb-su… nation day 2021-01-03 | ||
4 us smoothed_cli fb-su… nation day 2021-01-04 | ||
5 us smoothed_cli fb-su… nation day 2021-01-05 | ||
6 us smoothed_cli fb-su… nation day 2021-01-06 | ||
7 us smoothed_cli fb-su… nation day 2021-01-07 | ||
8 us smoothed_cli fb-su… nation day 2021-01-08 | ||
9 us smoothed_cli fb-su… nation day 2021-01-09 | ||
10 us smoothed_cli fb-su… nation day 2021-01-10 | ||
# ℹ 141 more rows | ||
# ℹ 9 more variables: direction <dbl>, issue <date>, | ||
# lag <dbl>, missing_value <dbl>, missing_stderr <dbl>, | ||
# missing_sample_size <dbl>, value <dbl>, stderr <dbl>, | ||
# sample_size <dbl> | ||
# ℹ Use `print(n = ...)` to see more rows | ||
``` | ||
|
||
## Installation | ||
|
||
Installing the package is straightforward. | ||
|
||
``` | ||
# Install the CRAN version | ||
pak::pkg_install("epidatr") | ||
# Install the development version from the GitHub dev branch | ||
pak::pkg_install("cmu-delphi/epidatr@dev") | ||
``` | ||
|
||
### API Keys | ||
|
||
The Delphi API requires a (free) API key for full functionality. To generate | ||
your key, register for a pseudo-anonymous account | ||
[here](https://api.delphi.cmu.edu/epidata/admin/registration_form) and see more | ||
discussion on the [general API | ||
website](https://cmu-delphi.github.io/delphi-epidata/api/api_keys.html). The | ||
`epidatr` client will automatically look for this key in the environment | ||
variable `DELPHI_EPIDATA_KEY`. We recommend storing your key in your `.Renviron` | ||
file, which R will read by default. | ||
|
||
Note that for the time being, the private endpoints (i.e. those prefixed with | ||
`pvt`) will require a separate key that needs to be passed as an argument. | ||
|
||
## For users of the covidcast R package | ||
|
||
The `covidcast` package is deprecated and will no longer be updated. The | ||
`epidatr` package is a complete rewrite of the [`covidcast` | ||
package](https://cmu-delphi.github.io/covidcast/covidcastR/), with a focus on | ||
speed, reliability, and ease of use. It also supports more endpoints and data | ||
sources than `covidcast`. When migrating from that package, you will need to use | ||
the | ||
[`pub_covidcast`](https://cmu-delphi.github.io/epidatr/reference/pub_covidcast.html) | ||
function in `epidatr`. |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,123 @@ | ||
--- | ||
title: New package released! Epidatr, an R client for Delphi Epidata API | ||
author: Dmitry Shemetov, David Weber | ||
date: 2023-09-27 | ||
tags: | ||
- r | ||
- epidata | ||
- covidcast | ||
authors: | ||
- dmitry | ||
- davidweb | ||
heroImage: blog-lg-epidatr.jpg | ||
heroImageThumb: blog-thumb-epidatr.jpg | ||
summary: | | ||
`epidatr` is designed to streamline the downloading and usage of data from the [Delphi Epidata API](https://cmu-delphi.github.io/delphi-epidata/). It provides a simple R interface to the API, including functions for downloading data, parsing the results, and converting the data into a tidy format. | ||
|
||
output: | ||
blogdown::html_page: | ||
toc: true | ||
--- | ||
|
||
<div id="TOC"> | ||
<ul> | ||
<li><a href="#usage">Usage</a></li> | ||
<li><a href="#installation">Installation</a><ul> | ||
<li><a href="#api-keys">API Keys</a></li> | ||
</ul></li> | ||
<li><a href="#for-users-of-the-covidcast-r-package">For users of the covidcast R package</a></li> | ||
</ul> | ||
</div> | ||
|
||
<p>The <a href="https://cmu-delphi.github.io/delphi-epidata/">Delphi Epidata API</a> provides | ||
real-time access to epidemiological surveillance data for influenza, COVID-19, | ||
and other diseases from both official government sources such as the <a href="https://www.cdc.gov/datastatistics/index.html">Centers | ||
for Disease Control and Prevention | ||
(CDC)</a>, private partners such as | ||
<a href="https://delphi.cmu.edu/blog/2020/08/26/covid-19-symptom-surveys-through-facebook/">Facebook (now | ||
Meta)</a> | ||
and <a href="https://www.changehealthcare.com/">Change Healthcare</a>, and other public | ||
datasets like <a href="https://console.cloud.google.com/marketplace/product/bigquery-public-datasets/covid19-search-trends">Google | ||
Trends</a>. | ||
It is built and maintained by the Carnegie Mellon University <a href="https://delphi.cmu.edu/">Delphi Research | ||
Group</a>.</p> | ||
<p>Today we introduce the R package <code>epidatr</code>, available <a href="https://cloud.r-project.org/web/packages/epidatr/index.html">on | ||
CRAN</a>, with the | ||
source and development <a href="https://github.com/cmu-delphi/epidatr">on github</a>.</p> | ||
<p>This package is designed to streamline the downloading and usage of data from | ||
the Delphi Epidata API. It provides a simple R interface to the API, including | ||
functions for downloading data, parsing the results, and converting the data | ||
into a tidy format. The API stores a historical record of all data, including | ||
corrections and updates, which is particularly useful for accurately backtesting | ||
forecasting models. We also provide packages for downstream data processing | ||
(<a href="https://github.com/cmu-delphi/epiprocess">epiprocess</a>) and modeling | ||
(<a href="https://github.com/cmu-delphi/epipredict">epipredict</a>).</p> | ||
<div id="usage" class="section level2"> | ||
<h2>Usage</h2> | ||
<pre><code>library(epidatr) | ||
# Obtain the smoothed covid-like illness (CLI) signal from Delphi's US COVID-19 | ||
# Trends and Impact Survey (CTIS), in partnership with Facebook, as it was on | ||
# April 10, 2021 for the US at the national level | ||
epidata <- pub_covidcast( | ||
source = "fb-survey", | ||
signals = "smoothed_cli", | ||
geo_type = "nation", | ||
time_type = "day", | ||
geo_values = "us", | ||
time_values = epirange(20210101, 20210601), | ||
as_of = 20210601 | ||
) | ||
epidata</code></pre> | ||
<pre><code># A tibble: 151 × 15 | ||
geo_value signal source geo_type time_type time_value | ||
<chr> <chr> <chr> <fct> <fct> <date> | ||
1 us smoothed_cli fb-su… nation day 2021-01-01 | ||
2 us smoothed_cli fb-su… nation day 2021-01-02 | ||
3 us smoothed_cli fb-su… nation day 2021-01-03 | ||
4 us smoothed_cli fb-su… nation day 2021-01-04 | ||
5 us smoothed_cli fb-su… nation day 2021-01-05 | ||
6 us smoothed_cli fb-su… nation day 2021-01-06 | ||
7 us smoothed_cli fb-su… nation day 2021-01-07 | ||
8 us smoothed_cli fb-su… nation day 2021-01-08 | ||
9 us smoothed_cli fb-su… nation day 2021-01-09 | ||
10 us smoothed_cli fb-su… nation day 2021-01-10 | ||
# ℹ 141 more rows | ||
# ℹ 9 more variables: direction <dbl>, issue <date>, | ||
# lag <dbl>, missing_value <dbl>, missing_stderr <dbl>, | ||
# missing_sample_size <dbl>, value <dbl>, stderr <dbl>, | ||
# sample_size <dbl> | ||
# ℹ Use `print(n = ...)` to see more rows</code></pre> | ||
</div> | ||
<div id="installation" class="section level2"> | ||
<h2>Installation</h2> | ||
<p>Installing the package is straightforward.</p> | ||
<pre><code># Install the CRAN version | ||
pak::pkg_install("epidatr") | ||
|
||
# Install the development version from the GitHub dev branch | ||
pak::pkg_install("cmu-delphi/epidatr@dev")</code></pre> | ||
<div id="api-keys" class="section level3"> | ||
<h3>API Keys</h3> | ||
<p>The Delphi API requires a (free) API key for full functionality. To generate | ||
your key, register for a pseudo-anonymous account | ||
<a href="https://api.delphi.cmu.edu/epidata/admin/registration_form">here</a> and see more | ||
discussion on the <a href="https://cmu-delphi.github.io/delphi-epidata/api/api_keys.html">general API | ||
website</a>. The | ||
<code>epidatr</code> client will automatically look for this key in the environment | ||
variable <code>DELPHI_EPIDATA_KEY</code>. We recommend storing your key in your <code>.Renviron</code> | ||
file, which R will read by default.</p> | ||
<p>Note that for the time being, the private endpoints (i.e. those prefixed with | ||
<code>pvt</code>) will require a separate key that needs to be passed as an argument.</p> | ||
</div> | ||
</div> | ||
<div id="for-users-of-the-covidcast-r-package" class="section level2"> | ||
<h2>For users of the covidcast R package</h2> | ||
<p>The <code>covidcast</code> package is deprecated and will no longer be updated. The | ||
<code>epidatr</code> package is a complete rewrite of the <a href="https://cmu-delphi.github.io/covidcast/covidcastR/"><code>covidcast</code> | ||
package</a>, with a focus on | ||
speed, reliability, and ease of use. It also supports more endpoints and data | ||
sources than <code>covidcast</code>. When migrating from that package, you will need to use | ||
the | ||
<a href="https://cmu-delphi.github.io/epidatr/reference/pub_covidcast.html"><code>pub_covidcast</code></a> | ||
function in <code>epidatr</code>.</p> | ||
</div> |
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