Understanding the COVID-19 Pandemic with Big Data Analytics. Author Alan Kerrigan
Understanding the COVID-19 Pandemic with Big Data Analytics
New cases of the novel coronavirus or Covid-19 are increasing at faster rates across the world. To date, more than 9.24 million people have developed Covid-19 infection. Around 477,000 people have died of this disease.
The immediate burst of Covid-19 cases has created a significant source of data, information, and knowledge. Experts argue that there is an immediate need to store a large amount of Covid-19 data using various data storage technologies.
The Significance of Covid-19 Health Data
Big Data Analytics companies in collaboration with healthcare organizations believe that the covid-19 health data can be used to undertake novel research and development about the coronavirus. Companies can use data to measure the mechanism of the pandemic and come up with sophisticated solutions to combat the coronavirus and its after-effects.
It is no surprise to tell you that Big Data Analytics and related methods are innovative technology that can store a large amount of information on Covid-19 patients. It helps digital and computational analysis to provide trends, patterns, associations, and differences in the pandemic.
Also, Big Data can help in identifying and revealing valuable insights that can be used to control the spread of the novel coronavirus or SARS-CoV-2. So, with detailed data collecting capabilities and techniques, Big Data can help authorities to minimize the risks of spreading of SARS-CoV-2.
Big Data Analytics and Covid-19 Pandemic
Big Data technology can significantly store a large amount of data and information about the individuals infected with the SARS-CoV-2 virus. Big Data can likewise help us understand the nature of the novel coronavirus in detail.
Using artificial intelligence and machine learning algorithms, we can use Covid-19 health data to train the systems and develop preventive methods for the future. BIG Data technology allows us to store the data and information on all types of cases affected by Covid-19. This includes carriers, infected, died, and recovered patients.
Further, we can use this information to identify or forecast new cases based on machine learning techniques. Big Data helps us allocate the resources for adequate protection of public health.
For instance, different modalities of data that include patient location reported travel, proximity, physiology, co-morbidity, and current symptoms can be analyzed and digitized accurately. As a result, we can generate actionable insights at both demography and community level.
How Big Data Analytics help Healthcare Institutions?
Big Data Analytics can provide a large amount of data and information to health workers, scientists, doctors, epidemiologists, frontline nurses. It helps health workers to make informed decision to combat with the SARS-CoV-2 virus.
Scientists and researchers can use this data to track the virus continuously on a global basis. The purpose is to create innovation in the field of healthcare. Big Data likewise provide exceptional assistance to forecast the impact of the coronavirus in specific areas and the whole population.
Research and development is the area where Big Data can help us a lot. For instance, we can use a large amount of data using machine learning methods to predict the impact of Covid-19 in the future. Based on the accuracy and error rate of the results, scientists can work to develop new treatment procedures.
Moreover, Big Data provides possible sources as well as opportunities to healthcare institutions to manage the situation in isolation wards. For example, based on the previously collected data, health workers can predict the behaviour of patients in isolation wards, what happens to the patient on a ventilator, and how to handle the stressful situation.
Wrapping up, this technology provides information to undertake analysis of the Covid-19 transmission movement. Lastly, Big Data along with machine learning techniques and artificial intelligence can help scientists develop health monitoring and prevention systems.
Hi, I am Alan Kerrigan Sales Director at Crowd-Sourced Intelligence Analysts. Experienced sales manager with a proven track record of building high performing international teams, while consistently overachieving on targets. In this role, I have always put an emphasis on culture and job satisfaction within teams.
We are a global leading provider of Open Source Intelligence (OSINT) systems, Automatic Speech Recognition, media monitoring and analysis. We have Red team security and penetration testing teams throughout the world. We also have Blue teams at Fusion Centres positioned in Ireland, Slovakia, Spain, Saudi Araba, Kuwait, Nigeria and the United Kindom working 24 hours a day.
