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How Data Science Helped to Manage Covid-19

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Ishaan Chaudhary
How Data Science Helped to Manage Covid-19

The world is currently battling one of the biggest pandemics it has ever seen. It has had a huge impact on people’s lifestyle. The society at large has undergone a huge change during this time. One cannot underestimate the magnitude of this pandemic. We experienced a huge loss of life and several economies were disrupted. Our development was stagnant for quite a while and people were unsure about what the future holds for them.

 

However, after the initial shock of the pandemic, people have been working hard to manage it in an appropriate manner. We enhanced our capabilities in the battle against Covid-19 over time, and we are getting better at it every day.

 

A lot of sectors came together to battle the global crisis. One of the sectors that has proved to be helpful in the global pandemic is the data science sector. Data science is one of the sectors that plays a crucial role in the development and the future of technology. So, now is the right time to opt for the best certificate online courses for data science or analytics.

Let us see how exactly data science has proved helpful in the current scenario.

 

1. Statistical Analysis

Biostatistics and epidemiology have always played a huge role in the health planning sector. Statistical analysis can and is use to test diagnostic accuracy. And this feature of data science has come in handy in the current scenario of the global pandemic. Datasets that are publicly available for the age of an individual and the chronic medical conditions that they have are examined to find their effect on the death rate and time it will take to recover.

A type of analysis has been used to find the relation between the population and its effect on the pandemic. Clustering analysis has been used to find any similarities between active cases, per area. Also, data driven models like the ARIMA have been used to predict the number of patients. These models have been extremely helpful for the government to plan strategies to combat the pandemic.

You will be able to understand these concepts better if you start with the best online certificate courses for data science or analytics.

 

2. Mathematical Modelling

Mathematical models like SEIR are developed for epidemiology. This is one of the primary models that has been used to analyse the COVID-19 situation. It’s because it relates the estimated number of cases because of one case and then this is used to find out the rate at which the disease will spread.

Data scientists have tried their best to remove the limitations of this model by taking the health care capacity, underreporting, and so on. Factors like these can affect the accuracy of a model to a great length, and make the model unusable. However, when these factors are taken into account, the model is ready for use. Other mathematical models that have been used by researchers to analyze the spread of the pandemic is LHS, PRCC, and so on.

Comparative analysis sling with regression models is used to increase the accuracy. It is extremely important that we analyse the situation of the pandemic so that we can come up with clear and concise plans to battle it.

If we do not have proper data and if that data is not analysed properly, it is as good as making guesses in the dark as to what will be a better way to deal with a scenario. 

You can learn about all of these mathematical models in any of the best online certificate courses for data science or analytics.

 

3. Use of AI in modelling

AI models have been used to predict the incident rates, forecast the number of infected cases, and for detection of the virus by using a patient’s X-Ray. For detecting the virus, CNN is used. This data has proved extremely helpful in understanding how the virus is spreading.

Now, AI is also being used to detect the disease in its early stages. It is also used to predict the genetic trends. AI and ML models have been extremely useful in contact tracing. Technologies such as GPS, mobile tracking have been used to track a person’s health. Then it is also used to trace an individual who is infected in real time.

 

4. Data Evaluation

This has been used in analysing the genetic trends, origin of the virus, how it is transmitted, and how it is incubated along with the climatic conditions and so on. Data technology has been extremely crucial in understanding the risk factors. It has also been helpful in diagnosis and so on. It has also been used to track and predict the outbreak in certain regions. One of the first start-up to do that was Bluedot artificial intelligence. They forecasted the outbreak in the province of Hubel.

The development of any sector, especially the biomedical sector is going to benefit greatly from the progress in the field of data science. It can also be useful in avoiding such circumstances in the future. So, if you are thinking about making a career in the field of data science, then now is the right time. You can opt for the best online certificate courses for data science or analytics to get a fair understanding of the topic.

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Ishaan Chaudhary
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