Across the globe, real-time dashboards to understand COVID-19 trends are not just reaching data analytics or spatial analysis audiences - they have also become a key part of decision-making processes for a range of organizations in both the public and private sector.
Recently, cases of Coronavirus have been increasing rapidly in countries around the world, particularly within Europe with lockdown measures being reintroduced in France, Germany, and the UK. We are likely to see such measures until an effective vaccine is widely available, and therefore efforts to reduce transmission will continue for some time. An important part of these efforts is having in place a well-functioning Test, Trace, and Isolate system, which have had varying success rates worldwide.
Public Health England, National Health Service (NHS) and the Office of National Statistics (ONS) publish daily or weekly data related to the pandemic response. This data is often difficult to interpret to understand how effectively the system is running.
Researchers from i-sense, an Interdisciplinary Research Collaboration funded by the Engineering and Physical Sciences Research Council (EPSRC) have developed a dashboard to evaluate the performance of the ‘Find, Test, Trace, Isolate, Support’ system by collating publicly available data into a single place. This work received mapping support from the CARTO Grants for Good program.
Development of the COVID Response Evaluation Dashboard (COVID RED) was led by experts from University College London (UCL) and the University of Leeds, and looks into England’s overall performance against five important stages: Find, Test, Trace, Isolate, and Support.
This section of the dashboard includes two interactive maps. The first shows the estimated percentage of the total population testing positive with the second displaying symptom reports to the NHS, from the last 7 days by location. Understanding where COVID-19 is spreading is crucial to quickly control new outbreaks and reduce transmission.
This section includes a map showing lab-confirmed positive cases by location. Here the geographic hierarchy Middle Layer Super Output Areas (MSOA) is being used as it was designed to improve the reporting of small area statistics in England.
There is currently no publicly available data on support provided to isolating individuals.
Whether you are building dashboards such as this, running PPE supply chains, planning returns to the workplace, or involved in economic recovery use cases - having the right tools in place to make data-driven decisions is fundamental. You can explore other potential initiatives here.
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This post was written by NGIS, our master reseller in Australia and New Zealand and was originally published on their website.Use Cases
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