Links to final source code (github repo) Mashira Farid
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https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-counties-recent.csv
New-York times API used to populate charts in every county
Data
Data is available at Data folder in github.
To get final preprocessed data https://github.com/samztz/SENG3011_GeeksForHDs/blob/main/PHASE_2/epi_frontend/data/hospitalandrisk.json
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The website’s map’s ability to highlight certain information also makes it easier for users to gather and display information in a quick and efficient manner compared to other websites, and since it’s all accessible on one page, switching between different maps is quick and easy. The fact that each of the areas on the map can be interacted to display as more information, as well as the graphs, makes our website a potent source of information at any given time.
Use cases:
We must #FlattenTheCurve flatten the curve to give our healthcare system more time to prepare for this surge of patients. Preparation means enough space, staff, supplies, and systems at the right places and times to meet patient needs. Through mapping and geospatial analytics, we provide situational awareness and foresight for health systems, policymakers, emergency managers, suppliers, and the public to plan and coordinate preparations between facilities, counties, states, or nationwide.
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If a policy maker sees his county is in risk , he may want to get an idea of his hospitals beds in his county to accommodate more patients in the coming future. That includes total beds, staffed beds and ICU beds to recognise where he should focus to manage his resources to minimise risk. These metrics are given with a ratio to population in the county. For example a county can have a high risk and sufficient beds, but it has less ICU beds which is seen through the charts. Also these charts can give insights about other counties so counties with high resources and less risk can be recognised by the user .and the policy maker can communicate with them for resources
Requirements:-
User can change the map types to see different hospital beds ratio in different counties.
Hospital beds ratio mapped to counties with an appropriate colour scale
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When a policy maker first go to the page of our website, it would pop up a model which contains the da link and confluence link. Thus, they can download the data as they want.
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Other Limitations for future updates:
Problem:
Users cannot be alerted with risk level changes.
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