Epidata Metadata
This is the documentation of the API for accessing the API Metadata (meta) for fluview, twitter, wiki,
and delphi endpoints 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.
API Metadata
Overview of the current state of the database, including the latest update times and data volume for specific endpoints.
The API
The base URL is: https://api.delphi.cmu.edu/epidata/meta/
See this documentation for details on specifying epiweeks, dates, and lists.
Parameters
None.
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[].fluview |
Metadata for FluView | array of objects |
epidata[].twitter |
Metadata for Twitter | array of objects |
epidata[].wiki |
Metadata for Wikipedia | array of objects |
epidata[].delphi |
Metadata for Delphi Forecasts | array of objects |
message |
success or error message |
string |
Example URLs
https://api.delphi.cmu.edu/epidata/meta/
{
"result": 1,
"epidata": [
{
"fluview": [
{
"latest_update": "2020-04-10",
"latest_issue": 202014,
"table_rows": 945920
}
],
"twitter": [
{
"latest_update": "2020-04-11",
"num_states": 41,
"table_rows": 132712
}
],
"wiki": [
{
"latest_update": "2020-04-12 07:00:00",
"table_rows": 131585
}
],
"delphi": [
{
"system": "af",
"first_week": 201541,
"last_week": 201619,
"num_weeks": 31
},
{
"system": "eb",
"first_week": 201441,
"last_week": 201519,
"num_weeks": 32
},
{
"system": "ec",
"first_week": 201441,
"last_week": 202013,
"num_weeks": 171
},
{
"system": "sp",
"first_week": 201441,
"last_week": 201519,
"num_weeks": 32
},
{
"system": "st",
"first_week": 201542,
"last_week": 201949,
"num_weeks": 123
}
]
}
],
"message": "success"
}
Code Samples
Libraries are available for R and Python. The following samples show how to import the library and fetch API metadata.
Install the package using pip:
pip install -e "git+https://github.com/cmu-delphi/epidatpy.git#egg=epidatpy"
# Import
from epidatpy import CovidcastEpidata, EpiDataContext, EpiRange
# Fetch data
epidata = EpiDataContext()
res = epidata.pub_meta()
print(res)
library(epidatr)
# Fetch data
res <- pub_meta()
print(res)
Legacy Clients
We recommend using the modern client libraries mentioned above. Legacy clients are also available for Python, R, and JavaScript.
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.meta()
print(res['result'], res['message'], len(res['epidata']))
Place delphi_epidata.R from this repo next to your R script.
source("delphi_epidata.R")
# Fetch data
res <- Epidata$meta()
print(res$message)
print(length(res$epidata))
<!-- Imports -->
<script src="delphi_epidata.js"></script>
<!-- Fetch data -->
<script>
EpidataAsync.meta().then((res) => {
console.log(res.result, res.message, res.epidata != null ? res.epidata.length : 0);
});
</script>