Main presentation page: https://covid-interactive-map.netlify.com

• Interactive geographical heat map of the rate of virus spread
• Granularity (for US, both state and county level)
• Normalization with respect to population (crude measure of societal pressure)

• World Map Online, full length data history (small file, loads fast, but fetches data online)
• USA Map Online, full length data history (small file, loads fast, but fetches data online)
• World/USA/County Map Online, Customizable, with history Animation, full length data history (small file, loads fast, but fetches data online)
• More mobile friendly version layout of the map above (small file, loads fast, but fetches data online)
• USA Map Online, full length data history, default 4-month view (small file, loads fast, but fetches data online)
• USA Map Standalone, truncated 4-month data history (large file, may take a few sec to load)

Code written in Python (and Javascript) to generate interactive html page.

The bash shell script code/run_full_map_site_update.sh runs all the necessary Python scripts/functions to generate the underlying data structures, maps, and html file/s. The scripts create files in an untracked subdirectory code/tmp_data/ and generates a runtime performance report. Roughly:

• match_data_and_maps.py Updates the COVID data, loads geographical data, matches the naming and organizes in dictionaries, saves to temporary data files.
• process_data_and_maps.py Processes the data, calculating rates, averages, normalizations, and adding current stats to the geographical data, saves to temporary data files.
• make_external_datafiles.py Writes the compressed external datafiles.
• map_4mon_external_data.py (Legacy) Make the USA Map with state and county data history.
• map_4mon_standalone.py (Legacy) Make the offline version USA Map with state and county data history, truncates the data history.
• map_US_PerMil.py Make the USA Map with state and county population normalized COVID data history.
• map_World_PerMil.py Make the World Map with population normalized COVID data history.
• map_graph_Custom.py Make the customizable and graph, with animation function.
• map_graph_Custom.py Same but with the mobile option, with improved layout for mobile use.
• make_website.py Makes the acompanying website.
• Normally takes about 2-3min to run (2.2GHz Intel Core i7, 16GB 2400 DDR4)

• Produced using Python with Bokeh and other modules
• GitHub repository for this project: https://github.com/thedrdos/covid-map
• State and County Geographical Data from The US Census Bureau
• COVID-19 Data on States from The COVID Tracking Project or on GitHub
• COVID-19 Data on Counties from The John Hopkins University Coronavirus Resource Center or on GitHub

• Implement maps using external json files for data.
• Generate a cumulative USA time history graph.
• Fix/Workaround bug in Bokeh where patches with multiple polygons (NaN separated) seem to draw repeatedly (alpha will be wrong)
• Make a world map similar to the states map/graph.
• Incorporate additional data available for states
• New map plot with customizable time history data graph.
• Rework the data structures generation with multithreading.
• Rework the data structures for efficiency and streamlining.
• Make option to switch normalization on/off (sort of, the custom map effectively let you)