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Travel Risk Evaluation

Copyright 2016 Lenna X. Peterson


License: GPL v3

This distribution also includes Tangle.js, which is covered by the MIT license


  • travel
  • relative risk
  • vector-borne virus
  • mosquito activity


  • NOAA Climate Normals Monthly

    • JSON data
    • Normal annual precipitation, temperature, and growing degree day information is used to assess the suitability of the climate for mosquitoes
    • Data is available for the entire US
  • Zika Cases Reported in the United States

  • 2015 American Community Survey Subject Tables

  • Compressed Mortality File 1999-2014 on CDC WONDER Online Database

  • Y The primary dataset "online climate data" from is used

  • Y All datasets used are from the US government


This website provides travelers with information and context about the risk of contracting Zika virus and other mosquito-borne diseases while traveling within the United States. The user provides their destination and date of travel. The website shows the destination on a map and estimates the disease risk on that date.

  • Map View

    1. Y The map is centered on the travel destination
    2. Y The map has a marker for the travel destination
    3. Y The map has a label for the travel destination
    4. Y The map has an InfoWindow
    5. N The map does not have additional overlays
  • Data Visualization

    1. Y The page uses bar charts to show risk components and a scatter plot to show risk of Zika virus in context of other risks
    2. N The chart has hover but no click interaction
  • Interaction Form

    1. Y Information about climate, mosquito activity, and cases of Zika in the state is output
    2. Y The user can drag to change their month of travel and see how it changes mosquito risk
    3. Y The user inputs their date of travel and destination
    4. Y If the user changes the date and destination of travel, the map is updated based on the location
    5. Y If the user changes the date and destination of travel, the charts are updated based on the risk

Build Case

  • Dependencies

    • python
    • gunicorn
    • flask
    • numpy
    • beautifulsoup4
  • Building

    sudo apt-get install python python-flask python-pip

    sudo pip install -r requirements.txt

  • Usage

    1. Start the flask server with python
    2. Open Google Chrome and go to
    3. Enter data into the form and click 'Submit'


This website was tested on Ubuntu 14.04 using Google Chrome version 53.0.2785.116


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