NIDSS Flu
This is the documentation of the API for accessing the Taiwan National Infectious Disease Statistics System Flu (nidss_flu
) endpoint of
the Delphi’s epidemiological data.
General topics not specific to any particular endpoint are discussed in the API overview. Such topics include: contributing, citing, and data licensing.
NIDSS Flu Data
Outpatient ILI from Taiwan’s National Infectious Disease Statistics System (NIDSS).
- Source: Taiwan CDC
- Temporal Resolution: Weekly* from 2008w14
- Spatial Resolution: By hexchotomy region (6+1)
- Open access
* Data is usually released on Tuesday
The API
The base URL is: https://api.delphi.cmu.edu/epidata/nidss_flu/
See this documentation for details on specifying epiweeks, dates, and lists.
Parameters
Required
Parameter | Description | Type |
---|---|---|
epiweeks |
epiweeks | list of epiweeks |
regions |
regions | list of region labels |
Optional
Parameter | Description | Type |
---|---|---|
issues |
issues | list of epiweeks |
lag |
# weeks between each epiweek and its issue | integer |
Notes:
- If both
issues
andlag
are specified, onlyissues
is used. If neither is specified, the current issues are used.
Response
Field | Description | Type |
---|---|---|
result |
result code: 1 = success, 2 = too many results, -2 = no results | integer |
epidata |
list of results | array of objects |
epidata[].release_date |
date when record was first published (yyyy-MM-dd) | string |
epidata[].region |
region | string |
epidata[].issue |
epiweek of publication | integer |
epidata[].epiweek |
epiweek during which the data was collected | integer |
epidata[].lag |
number of weeks between epiweek and issue |
integer |
epidata[].visits |
total number of patients with ILI | integer |
epidata[].ili |
percent ILI | float |
message |
success or error message |
string |
Example URLs
NIDSS Flu on 2015w01 (nationwide)
https://api.delphi.cmu.edu/epidata/nidss_flu/?regions=nationwide&epiweeks=201501
{
"result": 1,
"epidata": [
{
"release_date": "2016-01-05",
"region": "Nationwide",
"issue": 201552,
"epiweek": 201501,
"lag": 51,
"visits": 65685,
"ili": 1.21
}
],
"message": "success"
}
Code Samples
Libraries are available for JavaScript, Python, and R.
The following samples show how to import the library and fetch national NIDSS Flu data for epiweeks 201440
and 201501-201510
(11 weeks total).
JavaScript (in a web browser)
<!-- Imports -->
<script src="delphi_epidata.js"></script>
<!-- Fetch data -->
<script>
EpidataAsync.nidss_flu('nationwide', [201440, EpidataAsync.range(201501, 201510)]).then((res) => {
console.log(res.result, res.message, res.epidata != null ? res.epidata.length : 0);
});;
</script>
Python
Optionally install the package using pip(env):
pip install delphi-epidata
Otherwise, place delphi_epidata.py
from this repo next to your python script.
# Import
from delphi_epidata import Epidata
# Fetch data
res = Epidata.nidss_flu(['nationwide'], [201440, Epidata.range(201501, 201510)])
print(res['result'], res['message'], len(res['epidata']))
R
# Import
source('delphi_epidata.R')
# Fetch data
res <- Epidata$nidss_flu(list('nationwide'), list(201440, Epidata$range(201501, 201510)))
cat(paste(res$result, res$message, length(res$epidata), "\n"))
Source and Licensing
The full text of the NIDSS Flu license information is available on the Taiwan Digital Development Department’s website.