- May 5, 2022
- Posted by: DxMinds
- Category: Technology
With over 27 million Covid positive cases worldwide and over 1 million deaths, the COVID-19 pandemic has devastated life, economy, industries, and the complete world at large, it has become the largest public health catastrophe people have experienced in their lifetime.
This global COVID-19 rollout continues to wrap the complete world into the fold of pandemic, the vaccine administration has become a large-scale effort. Making the public immune to fight back the COVID-19 pandemic has become a concern for every person living on the earth.
Latest developments in role of data science in covid-19 are made to identify and prioritize populations based on their age, risk exposure, their medical conditions. They can combat the pervasive data, IT, and infrastructure challenges that can inevitably lead to the allocation and distribution of data.
To meet the requirements of healthcare personnel- patients and policymakers- there is an urgent requirement to harness data in every form and conversion of data into insights, workflows, and better experiences using data science and machine/ deep learning and AI.
Vaccine Organization and Distribution
After almost a year of pandemic, finally, there is hope on the horizon as three types of vaccines have been approved for public distribution. Each vaccine with different vaccination schedules and side effects, the distribution of vaccines to a different group of people is a hassle-free task. Patients are required to match the appropriate vaccine concerning their medical history. After the patient’s check-up, healthcare professionals need to track the side effects. In case the patients receive Pfizer and Moderna, the patient will receive their second dose. It requires significant data collection which may leave healthcare providers vulnerable to cybersecurity threats. The healthcare IT strategy is at high risk since the data breaches have increased during the pandemic.
The data use agreement must be implemented to determine security to information to various levels of government. It includes information on the patient which can determine the type of vaccine used, the requirement of supply and what must be ordered,
Once these guidelines are decided, the healthcare personnel starts planning and implementing the cybersecurity strategy to implement the role of data science in covid-19 vaccine distribution. The team of healthcare professionals needs to understand the personal data, understand the risks too.
After the vaccines are administered, the governments need to monitor the patients who want to take the vaccine and those who don’t want to receive a vaccine. There is strict access to travel and communal spaces.
Potential of Cloud data analytics to yield meaningful insights
Post-Pandemic, many enterprises in the healthcare and pharma industry are moving their on-premise data and clinical trial data to platforms of cloud data analytics for vaccine distribution. These healthcare platforms have proper built-in dataOps, data availability, accessibility modules with augmented data management processes. If the overall cost of ownership and future ROI is calculated, then the value-addition offered by cloud analytics solutions can be easily multi-fold.
Gartner predicts that by the year 2022, public cloud services will be essential for 90 percent of data and analytics innovation. By the year 2024, most enterprises will make a shift from piloting to operationalizing AI, which can drive a 5X increase in streamlining data and analytics infrastructure in the cloud. In short, it can be defined that the cloud can become the next need of the hour.
With the recent advancements in cloud analytics, COVID-19 mutations on individuals can be gained by offering meaningful insights. It has resulted in offering personalized and quality healthcare solutions to individuals throughout the world.
Role of data science in Covid-19 vaccine distribution
You might be thinking it’s a troublesome task for enterprises to analyse the medical data of billions of patients? Well, Cloud-based data analytics comes is the answer to it. Patient data from EHRs, digital data from hospitals, clinics, labs, and genomics data are some of the common data sources to start with. Ingesting, storing, and analysing the data in on premise data centres is the only option.
To store, analyze, clean, govern and analyze data, there is a constant requirement of additional computing resources which can be provisioned easily. Let’s dig in some of the major considerations where cloud analytics can be utilized:
1. The Cloud data analytics for vaccine distribution can auto-scale huge volumes of patient and clinical trials data and their data analysis module runtimes, on-demand by vertical and horizontal scaling /de-scaling of instances, memory, and storage space.
2. During the time of patient data analysis of iterations and storage, cloud data analytics come into use.
3. By utilizing it, patient data access can be controlled to the right kind of users/roles resulting in granular access control regarding which has access to data and audit capabilities to understand the data. The cloud data analytics platforms utilize multi-factor mechanisms and PII(Personal Identifying Information) restrictions especially for patient PII data sensitive data lakes.
Patient and clinical trial data can be easily stored and analyzed in the cloud gives access and work on the analysis from anywhere in the world, even if the on-premise access is absent. In on-premise situations, VPN or such secure access is quite essential for every user. If such access fails, it leads to a single point of failure.
Use of analytics and artificial intelligence algorithms to help determine the possible factors like exposure, age, medical conditions, and the patient’s job role too.
Identifying Vaccine Safety Concerns- An innovative machine learning analytics software can automatically screen the doctor and patient reports to help you identify the different patterns and indicate safety problems flagging it for further exploration.
Impact of COVID-19 vaccine- Machine learning tools is required to examine the effectiveness of a vaccine similar to the COVID-19 vaccine in different populations which indicates potential ineffectiveness in even minority groups.
Cloud-based linear programming optimization solutions are focused on increasing vaccination rates, simulate demand/ supply fluctuations, and help you make decisions based upon site locations for vaccination administration.
A predictive analytics-based model helps you identify people with a particular vulnerability to COVID-19 complications to help the management, outreach ad prioritization.
Recently, Google Cloud has also announced the Intelligent Vaccine Impact Solution, which ensures the safe availability of vaccines and delivers successful COVID-19 public health strategies. This solution generally refers to help regional and local governments. It helps people understand to learn about the vaccine availability, their qualification, signing up for vaccination, and submit their information to check whether they are eligible for vaccination or not.
Google Cloud’s Dialogflow and Contact Center AI intelligent virtual agents offer call-in lines which offer people to determine their eligibility, registration, schedule vaccine appointments even if they are not available online.
Hence the entire venture of vaccine distribution will not be successful in ending this pandemic but can instrumental in creating a structure that will bring in better efficiencies in the supply chain and fasten the free access to medicines and vaccines. The utilization of Google cloud and cloud offers great help in role of data distribution.
The clinical trials state that mRNA genetic vaccine has 90% efficacy, which can be easily injected into the body to train the immune system. After the vaccine intake, it triggers a generation of antibodies and T-cells within the body to destroy the infected cells and fight COVID-19.
The Intelligent Vaccine Impact solution helps increase vaccine availability and equitable access to those who require it and assists governments in raising awareness, confidence and acceptance of vaccines.
Pfizer and BioNTech and Moderna are making a breakthrough in vaccine developments and are required to be given over two doses over multiple weeks.