All these years, Big Data analytics has contributed generously to the areas of marketing and customer experience.
It is only during the recent times of the distress that scientists are trying their best to use Big Data analysis to battle the coronavirus pandemic.
According to various sources, medical practitioners and academics have now collaborated with startups to explore every possible way to get rid of this virus.
How can analytics data help prevent infection?
Data centres are now collecting information from the analytics software, to detect who is more likely to be infected.
This will help hospitals to stock up on resources in advance, to avoid shortage if new cases show up.
Data analytics is also expected to be highly effective in forecasting shipping trends to prevent scarcity of essentials when supply chain operations are halted for the pandemic.
For instance, if an algorithm can predict that a certain locality might see a sudden rise in the number of users of respiratory masks, these masks can be sent to that location on time, before the supplies dry out.
How smaller research labs are gathering information about the infection?
Experts suggest that distributed computing projects dealing with designing molecular dynamics are playing a key role.
Scientists are now trying to leverage these projects empowered with data analytics to gain access to a better response system of the novel coronavirus.
As a result, researchers have started to acquire more information about the nature of the peplomer spikes that coat the virus. And they have learned that this is the main component that allows the virus to attach itself to the hosts’ cells.
It is expected that over time more details like this will be garnered, which will pave the path for the invention of antiviral drugs that can completely inhibit the lifecycle of the virus.
Scientists are hopeful that with this data-driven approach adopting Big Data analytics, it can even be possible to prevent the spread of infection altogether, in the first place.
How data derived from nutrition and demographics will help in the fight against coronavirus?
With the existing set of data, scientists are trying to understand how many more people are susceptible to developing this viral infection.
They have also hinted at data obtained about nutrition and demographics that seemed to have found the effectiveness of traditional means in boosting immunity.
Interestingly, scientists believe that this can imitate the previous research done on Alzheimer’s disease prevention because the same data model can be applied in case of this coronavirus infection.
Also, the data proves that in future, there might be preemptive research programs to measure the risks of diseases before they take the shape of a pandemic.
This can also help in calculating the immunodeficiency on a global scale to foresee the possibility of another pandemic in the near future.
The best thing is that health officials would get plenty of time to employ restrictions to prevent loss of lives and check the spread of infection.
However, sadly enough, cases of information theft are also on the rise. This sudden growth of scams targeting healthcare is mostly resulting from the chaos which has shaken the entire healthcare system up to its very core.
And this implies that firms engaged in Big Data analytics are the most certain victims of data theft.
But that is not where it ends, for data expert are also employing Big Data to counter these threats.
Big Data is being used to assess data security trends, to eliminate risks like opportunistic attacks, and are helping clinicians to buy more time in designing new treatment methods for those suffering from the COVID-19 infection.