How Data Analytics Software is Helping Fight COVID-19
As we grapple with all of the issues surrounding COVID-19, society has been faced with a number of unprecedented challenges in the public health sector as well as the economy. Businesses are rushing to re-align themselves with this new reality, and business intelligence technology has been a great help.
In particular, data analytics are proving to be indispensable, as they have helped data scientists surmount the sheer scale of the pandemic. The desire of the public for more information has led to the need for the creation of open-source data sets and visualizations. This, in turn, led to the conception of what has come to be known as pandemic analytics.
Here are some of the other ways data analytics software is helping fight COVID-19.
Optimizing Medical Resources
For a long time, health policy experts advanced the idea of a lean health care system that discouraged underused health facilities. During the outbreak, the question then became how to allocate resources that are in short supply to where they are needed the most. The use of analytical methods helped efficiently allocate hospital resources and bed space, in some cases even to neighboring health systems to help curb mortality rates in the areas that were hit the hardest.
Ensuring Demand Planning Stability
Data visualizations of the patterns of the virus’s spread have helped improve short and midterm forecasts. Mike Gilliland, a forecasting expert, noted macro-forecasting is hard but micro forecasting over the pandemic period was even harder. This is because there are many interventions beyond the ordinary affecting the uncertainty and complexity of the spread of COVID-19. This emphasizes the importance of using additional data streams, as opposed to just internal data. to make better predictions. In this way, data analytics has improved forecasts on the ongoing and expected COVID-19 disruptions.
Contact Tracing Investigations
We have all witnessed how contact lists can quickly grow based on the rate of infection. One of the disadvantages of manual contact tracing is that it mainly depended on the interviewees’ memories, which struggled to accurately trace the actions and steps of each individual.
The task became much easier with social network analytics and data visualization techniques. This made it much easier to identify common contact points and build a reliable image of an infected patient’s social interactions.
Situational Awareness And Critical Response
At the beginning of the outbreak, experts used data originating first from China, then from all over the globe to visualize the effects and spread of C0VID-19 worldwide.
Using a coronavirus dashboard has helped many involved people quickly access and organize data to foster improved awareness. Many organizations have used such representations to explore and understand the relationship between their businesses and the hot spot areas to put in place emergency response preparedness.
To Diagnose, Treat And Cure
The path toward developing healthcare solutions is only held at bay by the challenge of solving data. Through AI technology, experts have been able to diagnose the virus through imaging analysis and decreasing the period between diagnoses from over five minutes to less.
The implementation of data analytics software has enabled the improvement of AI that has been used to deal with rising diagnostics workload and free up resources to focus on treating patients.
In a nutshell, data analytics software has played a great role in helping combat the spread, response, and now a possible vaccine of the COVID-19 virus. Search and AI-driven analytics platform have been of tremendous benefit when it comes to helping collect and analyze data such as those used during the pandemic
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