Your task in this assignment is to calculate a vulnerability score with regard to infectious diseases for
different neighbourhoods in Sydney. The neighbourhood ’vulnerability’ is expressed as a measure
of several factors which we assume to affect the spread of a virus within a community — population
density, age distribution, pre-existing health conditions, and access to healthcare services.
In order to calculate this score, you will need to integrate different data sources. As a starting
point, we provide you with a few census-based datasets which give you input on at least three
factors: population density, age distribution, and locations of health services (hospitals and GPs).
We leave it up-to you to integrate further data and to refine the suggested vulnerability score.
Some ideas would be percentage of population with pre-existing health conditions such as asthma
or diabetes, presence of meeting hotspots such as large shopping centres or sports venues, intensity
of international travel (either by locals there or by tourists in an area), or public transport usage.
Based on your computed vulnerability scores, perform then a correlation analysis with the official COVID-19 data per neighbourhood as provided by NSW Health (also provided, resp. linked).
Your submission should consist of your Jupyter notebook that you used for integrating the data
sets and for performing and visualising your analysis.
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