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Impact of Rural Healthcare Access and Air Quality on COPD Prevalence in South Dakota During the COVID-19 Pandemic: A Localised Spatial Analysis

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Haru-Tachibana/COPD-Dissertation-Private

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Content Description

Datasets - original datasets downloaded from official websites

New CSV - all data files (csv) generated from original datasets

  • Note seperate AQ data is not being used at this stage.

Fetch Data - all data fetched as JSON (originally) using API (saved as CSV files)

  • check counties_data.csv for all 66 counties' name and code in South Dakota.

Data cleaning - Python code files for data cleaning & pre-processing

  • Ignore AQ_cleaning_join copy.py and AQ_remane.py files. (wrong methods)

EDA - Python code files for exploratory data analysis

  • EDA_COPD.py: national level ranking of COPD prevalence and annual trends.
  • SouthDakota.py: State level.

Figures - visualisation which can be used in dissertation

Literature Summary - List of papers

fetchData.js

--> didn't work as expected, need further investigation. One niticed issue: missing data from API source (i.e., not every single county in the state have AQ data per qtr)

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Impact of Rural Healthcare Access and Air Quality on COPD Prevalence in South Dakota During the COVID-19 Pandemic: A Localised Spatial Analysis

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