• Journal: Github
  • Date: May 22, 2014
  • Category: Visualization & Software


Dr. Caitlin Rivers at Johns Hopkins Bloomberg School of Public Health created a Python wrapper to access Project Tycho datasets and made the code availalbe on Github.


Caitlin Rivers

Related Project Tycho Datasets

Applies to all datasets


Python wrapper for Project Tycho Nationally Notifiable Disease Surveillance System database. The core function returns all data matching specific parameters. Required parameters are the api key, loc_type (values are city or state), event (values are deaths or cases), and either a disease or a location (either city parameter or state parameter). Optional arguments are state and end years. The function returns a pandas dataframe of the results.

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