Discussed steps for scrapping data

Basic plan

• Bring up observations from Brazil;
• How did Zika spread around the country;
• Apply lat-long to map locations previously collected;
• Try to predict potential areas that could be affected by Zika in Texas
• Given a huge set of features (described into 'Analysed and collected features'), rank and select the most relevant group
  • Narrow down to at least 3 input features with well-shaped data.

Analysed and collected features

• Population
  • Density
• Lat-long
• Incidents
• Water
• Different Countries
• Co-related diseases
  • Transmitter (mosquito species)
  • Disease groups (chikungunya, dengue, febre amarela)
• Tiemseries analysis
• Sewer + sanitation information
• Cultural + education aspects
• Weather
  • seasons
  • Temperature
  • humidity
• Aedes Lifecycle
• Epidemic factors
  • Disease timings
  • virus propagation
  • transmission stages

Steps for geo-mapping

• collect from diva-gis.org into the appropriate format (topojson, geojson)
• upload the collected file to mapshaper.org

Google drive https://docs.google.com/spreadsheets/d/1nEnwaIWjQh-jzjaob-U5hsQ8bV7npzzq1dfJmp2EF58/edit?usp=sharing