How Big Data is saving Lives by Improving Vaccination

How Big Data is saving Lives by Improving Vaccination

Healthcare Tech Outlook | Monday, February 18, 2019

Healthcare Big DataWith an exponential increase in population, humans are more prone to numerous types of contagious and non-contagious diseases. Major diseases which were dreaded by humans like smallpox, rinderpest, and meningitis C have been eradicated. Polio and measles are also controlled to a major extent. Despite these successes, millions of children still die each year due to infectious diseases like pneumonia, tetanus, mumps, measles, and diarrhea, which could be prevented by vaccination. 

Why Vaccination is Important

Vaccines don't just protect the person getting vaccinated; they protect everyone around them too.

The more people vaccinated in a community, the harder it is for a disease to spread. If an infected person comes in contact only with people who are vaccinated, the disease won’t be able to spread. This is called “herd immunity", which means that every individual is contributing in protecting each other, and also the most vulnerable among us, like babies who are too young to be vaccinated, people who cannot get vaccinated due to medical reasons and elderly citizens who don’t respond to vaccination.

Vaccination also helps people from severe illness and complications like amputation of an arm or leg, paralysis of limbs, hearing loss, convulsions, brain damage, and even death.

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Bigdata in Vaccination

Bigdata can automatically generate lists of people to identify under-vaccinated populations, determine which vaccines are overdue, and give reminders to doctors and the public. With advancements in technology now many health systems and physicians are able to access online medical records. Big data helps in vaccine discovery and development as well as safety monitoring to generate information about how consumers react to the vaccine education.

Big data helps in collecting vaccine-related information through mobile and Smartphone applications. This information is used to take detailed and precise insights to physicians that where vaccination is lacking, vaccination intervals, health monitoring and determine which types of virus are most likely be prevalent in the coming flu season, whether a new vaccine is needed, and how effective the flu shot will be. Diseases like Flu, chicken pox, whooping cough, measles, zika, Ebola, HIV/AIDS have been controlled by using proper surveillance by using Bigdata. There is a major possibility that these diseases can make a strong comeback if people stop vaccinating. Using historical data and other significant information to survey, predict and act on vaccination will significantly prevent the outbreak of such life-threatening diseases as the wise say “Prevention is better than cure.”

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