0048-013 Group2 Assignemnt
- Per Xuan's lecture on March 23rd, use this as a good example for autocorrealtion: https://www.geeksforgeeks.org/how-to-calculate-autocorrelation-in-python/
Create Subdirectory /source_data- Neatly Copy Data into /source_data
- Assign work based on Data Questions
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Do we have enough care providers to accommodate the population in Canada (nationally, provincially, municipally)@lenosdilara
- Number of persons with a care provider versus not (Doctor of Nurse Practitioner)
- Given each region (municipality for example) the number of persons versus the number of available care providers
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How many ER visits are there which are not an emergency and could have instead been handled via other means (Telehealth Ontario, Walk-In, Primary Care Provider, etc.) @crhultay
- How many Urgent Care / Walk-In Clinics were there in relation to the ER visits which were non-urgent?
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Walk-In Clinic Closures per region @evanjmitchell
- Number of persons who use third-party medical care tools such as RocketDoctor, etc.
- Pre-COVID versus Post-COVID analyses
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Doctors versus Nurse Practitioners @dema123khl
- Question: Are provinces with a higher ratio of Nurse Practitioners to Doctors more likely to have better access to primary care?
- Data Sets:
- Health Workforce 2019-2023
- Commonwealth Fund 2019 & 2022
- How:
- Calculate the Doctor-to-NP ratio per province.
- Compare it with access to care statistics from the Commonwealth Fund dataset.
- A simple correlation/ bar chart can show the relationship.
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Does the availability of team-based care (doctors working with NPs or other health professionals) correlate with reduced wait times for primary care appointments across provinces?
- Data Sources:
- Health Workforce 2019-2023
- Commonwealth Fund 2019 & 2022
- Data Sources:
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Questions that will be difficult to answer based on data availability:
- Population by Location combined with Clinic Locations and Doctors Registered per Clinic
- Persons with access to a primary care provider based on demographic