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Web Scrapping of Vaccination Rates in Florida

Home Page: https://fbarillas08.github.io/Web_Scrapping_Calculating_COVID19_HerdInmunity-_in_FL/

Jupyter Notebook 85.29% Python 7.86% HTML 2.43% CSS 2.30% JavaScript 2.12%
covid vaccinations herd inmunity

web_scrapping_calculating_covid19_herdinmunity-_in_fl's Introduction

Objective: Calculate the timeframe needed to reach a Herd Inmunity Threshold (HIT) based solely on vaccination against COVID-19 in each county in Florida.

Data Source: CDC COVID-19 Vaccination Dashboard updated daily at 2000 EST

Methodology:

  • Automatically scrape the CDC data to obtain the latest vaccinations per age group (Over 18 and Over 65) and total vaccinations
  • Move scrape data into a SQL database for storage
  • Extract values for computation including: - Number of new vaccinations - Total number of vaccinations per age group
  • Calculate vaccination rates per county based on the previous 7-days
  • Calculate number of days needed to reach the HIT
  • Save new daily data into dataframes and sql database
  • Convert data into json files for manipulation and calculations for html publication
  • Create an appropriate easy-to-read dashboard to drive the message

Challenges:

  • Automating the scrapping
  • Manipulating the data from csv to json files for ease of publication
  • css styling of the dashboard using bootstrap

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