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FluSurv

This is the API documentation for accessing the FluSurv (flusurv) endpoint of 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.

FluSurv Data

FluSurv-NET data (flu hospitaliation rates) from CDC.

See also:

  • https://gis.cdc.gov/GRASP/Fluview/FluHospRates.html
  • https://wwwnc.cdc.gov/eid/article/21/9/14-1912_article
  • Chaves, S., Lynfield, R., Lindegren, M., Bresee, J., & Finelli, L. (2015). The US Influenza Hospitalization Surveillance Network. Emerging Infectious Diseases, 21(9), 1543-1550. https://dx.doi.org/10.3201/eid2109.141912.

The API

The base URL is: https://delphi.cmu.edu/epidata/flusurv/

See this documentation for details on specifying epiweeks, dates, and lists.

Parameters

Required

Parameter Description Type
epiweeks epiweeks list of epiweeks
locations locations list of location labels

Optional

Parameter Description Type
issues issues list of epiweeks
lag # weeks between each epiweek and its issue integer

Notes:

  • If both issues and lag are specified, only issues 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   string
epidata[].location   string
epidata[].issue   integer
epidata[].epiweek   integer
epidata[].lag   integer
epidata[].rate_age_0   float
epidata[].rate_age_1   float
epidata[].rate_age_2   float
epidata[].rate_age_3   float
epidata[].rate_age_4   float
epidata[].rate_overall   float
message success or error message string

Notes:

  • The flusurv age groups are, in general, not the same as the ILINet (fluview) age groups. However, the following groups are equivalent:
    • flusurv age_0 == fluview age_0 (0-4 years)
    • flusurv age_3 == fluview age_4 (50-64 years)
    • flusurv age_4 == fluview age_5 (65+ years)

Example URLs

FluSurv on 2020w01 (CA)

https://delphi.cmu.edu/epidata/flusurv/?locations=ca&epiweeks=202001

{
  "result": 1,
  "epidata": [
    {
      "release_date": "2020-04-10",
      "location": "CA",
      "issue": 202014,
      "epiweek": 202001,
      "lag": 13,
      "rate_age_0": 8.4,
      "rate_age_1": 0.8,
      "rate_age_2": 1.6,
      "rate_age_3": 5.6,
      "rate_age_4": 16.5,
      "rate_overall": 4.8
    }
  ],
  "message": "success"
}

Code Samples

Libraries are available for JavaScript, Python, and R. The following samples show how to import the library and fetch CA FluView Clinical data for epiweeks 201940 and 202001-202010 (11 weeks total).

JavaScript (in a web browser)

<!-- Imports -->
<script src="delphi_epidata.js"></script>
<!-- Fetch data -->
<script>
  EpidataAsync.flusurv('ca', [201940, Epidata.range(202001, 202010)]).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.flusurv(['ca'], [201940, Epidata.range(202001, 202010)])
print(res['result'], res['message'], len(res['epidata']))

R

# Import
source('delphi_epidata.R')
# Fetch data
res <- Epidata$flusurv(list('ca'), list(201940, Epidata$range(202001, 202010)))
cat(paste(res$result, res$message, length(res$epidata), "\n"))