Are you someone who feels that the strict policies governing your existence in the lieu of COVID 19 is unfair? The lockdown and social distancing had made your life tough and difficult? Big data analysis has something else to say.
The role of big data has never been so visible as it is during the crisis that the entire world is facing together. Coronavirus pandemic has created a huge economical imbalance and every nation is finding ways to fight against it. In the need, where every little help counts, big data has given researchers the upper hand in analyzing various metrics related to the pandemic. This includes and is not limited to foot traffic data, metrics related to social distancing, and much other relevant information.
Data scientists have been able to utilize the power of big data to provide governments with data-driven analytics, collected from the real-time figures. Furthermore, making easier for nations while trying to mitigate the loss caused by COVID 19. With various tricks up their sleeves, data scientists are researching to find out the probable solutions to the problem. The question is: How can big data help in vindicating the adverse impact of coronavirus?
Let’s just elaborate on the question and find out how data scientists are utilizing big data in compensating for the loss the entire world has been facing.
Role of Big Data Analysis Fighting Coronavirus
As already mentioned, data scientists have been able to provide remarkable researches based on the scattered data while consolidating the information derived to process further decisions. There has been huge progress in identifying the key problems and reasons for the spread of the Coronavirus. And, accordingly, the related bodies are trying to put forth the necessary policies to fight the pandemic from every direction.
Creation of Healthcare Responses Triggered Through the Data-Driven Analysis
Being able to handle the big data for processing meaningful information, researchers at the Centres of Disease Control and Prevention, abbreviated as CDC, have been working on providing healthcare institutions with data-driven responses.
The CDC team of data scientists is focusing on making decisions that depend on the data collected through various sources.
For instance, CDC has been trying to find out the highest potential of the spread of the coronavirus through analyzing the foot traffic matrices. The analysis is also helpful in identifying how closely people have been respecting social distancing at the neighborhood level.
To make this possible, CDC has been utilizing the datasets along with the dashboards to track the influences of rewinding the economy as before COVID 19. This again is the key information assisting governments to decide on the public policy.
Data-Driven Decisions for Socio-Economic Leniency
For every nation, the decision about whether or not to open certain businesses is the most difficult one to take. You must have been wondering why the medical shops are open during the lockdown, however, cafes aren’t. But these decisions aren’t taken in the heat of the moment.
On the contrary, these decisions are well thought and researched. And, once again, the biggest stakeholder in shaping the policies are the data scientists. Depending on the big data, data scientists helped find out the roles of various factors inspiring the responses against COVID 19. These include geographic proximity, lockdown, social distancing, etc.
In research done by MIT Sloan Management, researchers have tried to put light on the reasons for the opening of some businesses faster than the others. The analytics were helpful in gaining deeper insights into comparing relative risk with relative importance for various business domains.
To assess the various parameters, researchers included important factors. For instance, total visits to a particular location and unique visits as well. In addition, researchers also considered the duration for which a single person stays at a particular location. These factors helped in finding out the relative risks of these particular places.
Based on the same assessment, the government was able to decide on which business to open first. Depending on the priorities, it was simpler to impose policies and guidelines.
Reshaping of Policies Within Reopening Economies
All that we have learned about big data, one thing is very clear, the decision making would greatly depend on it. The data-driven responses have been able to assist nations in making faster changes to their policies during the lockdown. And, as we are progressing to re-open the economies, these data would still be highly beneficial once again.
The big data would help understand the impacts after reopening of the economies. The data-driven analytics helps calculate the pros and cons of the policies. Those policies shaping within the economies running without any bars and restrictions. And, at the same time, it would also help in making changes to the decisions based on the impacts of the policies.
Using the information from the big data analysis, data scientists are capable of directing government policies in the direction that is the best possible aid at this time of crisis.
Around the world, if anything in common, then it’s the fight against COVID 19. Also, finding the fastest solution to put this pandemic behind and progress towards a speedy recovery of economies.
While we all sit back and wait for the good days to come back, data scientists are making efforts to make that possible. With careful analysis of matrices, researches have proven that the decision, going forth, will also depend on the data. More likely, in the future, there will be more priority and flexibility added for data scientists to encapsulate more matrices, if required, for best results.
So far, we have been able to distinguish a few important factors responsible for the quick spread of Coronavirus. Thanks to the big data analysis. It helped data scientists find out crucial matrices and factors leading to a few important conclusions. However, the journey still stays open. We must form policies that are a result of the analysis of the real-time data. This will help in getting to the root of the problem. And, we would soon be able to push away this Pandemic for the greater good.