A Python package for the National Syndromic Surveillance Program (NSSP) and its Community of Practice. A collection of classes and methods to advance the practice of Syndromic Surveillance. This python package serves as a Python alternative to the Rnssp R package.
To install pynssp
, run this command in your terminal:
pip install pynssp
This is the preferred method to install pynssp
, as it will always install the most recent stable release.
You can install the development version of pynssp
from Github:
pip install git+https://github.com/CDCgov/pynssp.git
from pynssp import *
from datetime import date, timedelta
import pandas as pd
## Creating a user profile (token)
myProfile = create_token_profile()
## Creating a user profile (username and password)
myProfile = create_profile()
## JSON URL from NSSP-ESSENCE API
url = "https://essence.syndromicsurveillance.org/nssp_essence/api/alerts/regionSyndromeAlerts?end_date=31Jan2021&start_date=29Jan2021"
## Update Start and End dates in NSSP-ESSENCE API URL
startDate = date.today() - timedelta(days=30)
endDate = date.today()
url = change_dates(url, start_date = startDate, end_date = endDate)
## Pull Time Series Data from NSSP-ESSENCE
api_data = get_api_data(url, profile=myProfile)
## Inspect data object structure
api_data.columns
## Extract table of interest
api_data = pd.json_normalize(api_data["regionSyndromeAlerts"][0])
## Get a glimpse of the pulled dataset
api_data.head()
Should you want to contribute to this project, submit a push request to this Github repository and consider submitting a request to be added as a developer to [email protected].
If you encounter a clear bug, please consider emailing the author at [email protected] and/or file an issue with a minimal reproducible example.
This repository constitutes a work of the United States Government and is not subject to domestic copyright protection under 17 USC ? 105. This repository is in the public domain within the United States, and copyright and related rights in the work worldwide are waived through the CC0 1.0 Universal public domain dedication. All contributions to this repository will be released under the CC0 dedication. By submitting a pull request you are agreeing to comply with this waiver of copyright interest.
The repository utilizes code licensed under the terms of the Apache Software License and therefore is licensed under ASL v2 or later.
This source code in this repository is free: you can redistribute it and/or modify it under the terms of the Apache Software License version 2, or (at your option) any later version.
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