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The outbreak of COVID-19 has transcended every boundary evolving into a pandemic so far. For the last three months into 2020, we know this respiratory disease has left the world facing an existential global health crisis, yet not so deadly but highly contagious. The impact of Covid-19 on the people, its society and the world is higher than any kind of respiratory disease like SARS. The most concerning thing are the interconnectedness of globalization, the rapid dependencies on the supply chain operations and travel.
As COVID-19 rattles everything, are we able to contain the crisis of this disease? New digital technology is opening up avenues to aid infection control measures and tackle the scale of COVID-19.
In this piece of an important article, we will discuss the different roles of interconnected digital technologies to help fight the ongoing corona virus pandemic. Here’s a rundown of how different technology tools we can use to make things possible.
We explore the potential of inter-related digital technologies such as IoT, big data analytics, AI, and block chain to offer successful solutions for contact tracing or infection tracking, population screening,and designing a targeted model for response.
We know what the very basic of IoT concept has been doing all this around. The proliferation of interconnected devices and instruments has long assisted hospitals and clinical facilities in becoming more independent in terms of data collection in real-time. Later, this data is dispersed using Artificial Intelligence and deep learning to derive healthcare patterns and design models to predict outcomes. The technology is relevant for tackling COVID-19 challenges so that we can trace contacts and offer measures to contain the disease outbreak.
The public health agencies are using the interconnected devices powered by IoT at scale to monitor the status of the pandemic. With IoT, technologies can help provide real-time updates on the COVID-19 cases e.g., number of people affected, new cases, mortality rates by region and country. Another example of such a useful tool is a real-time tracking map. This map accesses data from the leading health centers globally and offers a great level of data visualization on the COVID-19 surges.
Big data can play a bigger role in assessing the viral activity of the disease and helping countries design pandemic preparedness models for the outbreak. Here, we can make use of three key databases to collect data and prepare to fight the pandemic more resourcefully. The aviation data, location-based services at disease-prone zones, and Municipal transportation data can provide a platform to study and forecast COVID-19 new cases enabling us to build a model to secure public health and control the spread worldwide. Similarly, big data enhances the visibility and assess the severity of the disease to help raise awareness of the respective healthcare agencies.
Public-health training and education are critical more than ever to reduce noise spread through misinformation and encourage effective communication to promote factual information. The government is eager to deliver the right and accurate information about COVID-19. Hence,we have seen a more collaborative approach from the government globally to use social media tools such as WhatsApp, Twitter, and Facebook to help people receive accurate information about the disease outbreak. So,users can expect real-time updates significant to eliminate uncertainty around the disease.
Advantages are provided to those who cannot leverage the internet facility for information. Irrespective of the connectivity level, everyone is eligible to access the information they need to be aware of the disease. The telecommunication technology in many countries is sending messages about vital health information to people and help them protect themselves.
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Many Asia-Pacific regions and even African nations are unable to distinguish corona virus from common flu owing to the high costs of the testing. Despite the travel history of the asymptomatic people, authorities lacked resources for proper testing. However, AI and deep learning in such cases offer low-cost testing options in a more unique way. Instead of going for tests, AI and deep learning offer useful diagnostic and screening test facilities. Based on the available datasets of positive cases, AI and deep learning can gauge the patterns of suspected cases based on travel history or exposure and suggest isolation or confirmatory laboratory-based tests for people at risk. AI so far can help isolate, treat, and monitor the patients and mitigate the risks of spread.
Similarly, AI helps alleviate the loads off the physicians. Chat-bot-based online medical facilities help people recognize early symptoms of the disease and suggest treatment as symptoms worsen. Additionally, phone-based software consultations reduce unnecessary crowd at the clinical premises, however, help patients stay healthy.
Data security is of greater importance. Patient’s data kept at the clinical repository are protected with cryptographic protocols and distributed among connected computer devices across the organizations. Data is transferred between different networks, but block chain technology ensures its security with modified algorithms. Hence, the technology helps deliver timely treatment to the right patients and prevent its spread.
It is confirmed that health authorities are now more dependent on the digital technologies in the fight against the COVID-19 pandemic. The more we engineer technologies, the more contribution we can provide to the humankind to fight the dangers of such disease. Bytes Technolab believes in delivering the best technology benefits to the public and government and promotes the use of such technologies in the area of healthcare to curb chronic disease in the future.
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