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The shining example that is Taiwan’s Coronavirus response

Adnan Kayyali

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The shining example that is Taiwan’s Coronavirus response

Taiwan’s success in managing the COVID-19 pandemic is a well-known and referenced case study of how to respond to a global pandemic. The innovative use and implementation of new and existing technologies, as well as the Taiwan’s Coronavirus response is a case worth studying for any country seeking to prepare for any future crisis or calamity.

The country’s population is known for being tech-savvy. This fact combined with the government’s rapid and proactive response, taking no longer than 3 days to decide on the laws and guidelines behind using information technology, was a job well done by the Taiwanese government and people.

In addition to strict quarantine procedures, the government of Taiwan used edge computing, AI and data analytics combined with multiple digital platforms and IoT devices and infrastructure adapted to 3G and 4G networks. Without this, Taiwan would have had to rely solely on 5G network availability to deploy apps and data collection, leaving most citizens without anything at all.

The ability to spread verified, accurate and easily understood information to all citizens was the first big advantage of using these systems. The second was the ability to identify virus hotspots or risky zones, keep citizens alerted to relevant developments in real time and keep a close eye on the numbers, which in Taiwan were thankfully, quite low.

However, the government cannot take all the credit for Taiwan’s Coronavirus response. The nation’s tech-savvy and proactive population can be thanked for facilitating the distribution of necessary preventative gear and making sure that everyone had what they needed. The “name-based mask distribution system” came to fruition with great efficiency.

Thousands of Taiwanese citizens pooled their skills and resources to rollout digital tools, platforms, information systems, to aid their country through the pandemic.

Collectively, this endeavor successfully deployed tools including live maps with available mask buying locations, apps and communication systems, chat-bots and even a mask reservation system.

With such a system in place, masks were never out of stock, and at least most people got what they needed – avoiding the shortages that often follow ‘panic buying’.

Taiwan’s COVID-19 response sets an important example for future pandemics and shows how advanced technologies, even experimental ones, can be utilized for common good.

Junior social media strategist with a degree in media and communication. Technology enthusiast and free-lance writer. Favorite hobby: 3D modeling.

MedTech

Impacts of the pandemic on SMEs: First in, first out

Adnan Kayyali

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Impacts of the pandemic on SMEs First in, first out

The pandemic sent shockwaves across the world with many SMEs bearing the brunt of the crisis due to the reduction in global demand for goods and services.  

The worst effect of the pandemic on SMEs were the mass layoffs seen throughout all industries, although disproportionately. Disposable income that could have circulated in the economy became scarce, leaving many SMEs susceptible to permanent closure as people spend their money with greater caution. This was only a few weeks into the crisis, and prior to any government aid.

Business owners had very different predictions about the duration of the pandemic, leading them to make varied decisions on whether or not to keep their employees, cut their losses, or whether to save up or spend their stimulus checks. Many business owners were paying from their own pocket to stay afloat, and could not last more than a few weeks or few months, with layoffs.

A survey of more than 5,800 small businesses between March 28 and April 4, 2020 was conducted to determine how adaptable businesses were to the sudden change of the market and social landscape, and the impacts of the pandemic on SMEs.

According to the survey, 92% of SMEs changed at least one thing in their business model to adapt to COVID-19, most using some form of digital technology to bypass, adapt, or improve many traditional – potentially risky – ways of doing business.

Noting that some companies selected more than one option, the changes were listed as follows:

  • 58% of businesses said that they had adopted a new online delivery channel
  • 40% created new virtual services
  • 36% listed the use of a new offline delivery channel, such as Uber Eats.
  • 31% had released a new product.
  • 19% new customers

Consequently, the survey also listed the 5 most commonly mentioned challenges that these businesses have experienced:

  • 22% lack of employee skills
  • 16% lack of adequate funds
  • 14% setting up new online delivery channels
  • 9% developing new products.
  • 8% faced challenges adapting to the new health and safety standards
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MedTech

Top 3 digital health technologies post- pandemic

Mounir Jamil

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Top 3 digital health technologies post- pandemic

It’s certain that the current pandemic will eventually come to an end. However, some of the digital health technologies we’ve adopted along the way have proven to be indispensable, and some technologies may not be so prominent after the crisis.

Here are top 3 digital health technologies that are likely to stick around post- pandemic.

1. Disinfectant robots

Ultraviolet (UV) lights, more specifically UV-C is a well-established digital disinfecting method that is commonly used in the healthcare world. It works by altering the virus’ genetic material, that way UV lights make sure that virus doesn’t replicate. However, if exposed to human skin, it can lead to sunburns, irritations, and in the worst case, skin cancer.

All that aside, the benefits of UV-C in effectively disinfecting hospitals is seriously attracting robotics engineers and healthcare workers alike. Companies such as YouiBot are reimagining and redesigning their current robots into UV disinfectant ones. Danish company UVD Robots has shipped hundreds of their existing disinfectant robots around the world during the pandemic.

In addition to saving valuable time and decreasing the spread of COVID-19 in hospitals, these robots will also prevent hospitals from getting infections.

2. AI for predicting future pandemics

In an ideal tech world, AI can predict a viral outbreak weeks, if not months in advance. Unfortunately, we don’t live in an ideal tech world, but the good news is that we can work towards forecasting such a system with the help of current technologies.

AI company BlueDot has issued early first warnings, after scrutinizing massive data sets from news, airlines, and animal disease outbreaks. Their algorithim managed to detect a certain trend which Epidemiologists later analyzed further to confirm an outbreak.

But BlueDot is the exception and not the rule, so we must reverse the situation in order to better handle the next public health crisis. Given the massive predictive power that AI brings to the healthcare sector, the proper authorities should utilize its full potential and help in making it more commonplace in hospital settings.

3. Remote care via smartphones 

It’s a sad reality that the pandemic kick-started telemedicine for mainstream adoption. Before the crisis, only 1 in 10 US patients used telemedicine services, the number has now increased up to 158% in the same country.

With lockdowns enforced globally, people are utilizing the power of their smartphones for their mental and physical wellbeing. These new digital health technologies greatly reduce the risk of cross infection all while offering patients quality care from the comfort of their own homes

These solutions greatly reduce the risk of cross-infection while offering patients quality care from the comfort of their homes. What’s more, they prove that face-to-face doctor-patient visits are unnecessary. A Global Markets Insights report from April this year, projects that the telemedicine market value will reach $175.5 billion by 2026, indicating the need for remote care in the coming years.

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MedTech

The glaring problem with COVID-19 vaccine deployment

Adnan Kayyali

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The glaring problem with COVID-19 vaccine deployment

As most of us already know, creating a vaccine is only half the challenge of beating the pandemic. Getting 7 billion people vaccinated is a colossal undertaking, the scale of which has never been seen in history. How will the world manage and sustain COVID-19 vaccine deployment, and ensure equitable access to everyone?

It is not an easy task, and many people in positions of responsibility may have to make some difficult decisions. In short, we will not have enough vaccines for everyone by the end of this year, even if a particular vaccine candidate is deemed adequate.

In a document by the CDC published as a rough skeletal guideline, four categories of people were prioritized with newly produced or procured vaccine doses. This is to strategically use the scarce resources available to minimize the loss of life and maximize equity.

The document classified four categories of people that would receive the vaccine at different times according to a number of factors:

Category 1:

– High risk healthcare workers. First responders

– High risk older adults in congregate or crowded settings

Category 2:

Workers in critical industries and those living in an environment of high risk such as prison.

Category 3:

Young adults and children, and workers of essential industries that were not included in phase 2.

Category 4:

Everyone else.

In an Audio Interview “Guidelines for Covid-19 Vaccine Deployment”, Eric J. Rubin, M.D., Ph.D. concurred. “We do this in medicine all the time”, he said “in that we plan to treat everybody but those who get sicker are the ones who need the treatment first, while we are scaling up or making any assessment of deploying a treatment”.

This task becomes more difficult in areas were the data on who needs what is scarce. Numerous collectives and institutions however are finding ways to guide their communities using localized data tracking, remote monitoring and some forms of contact tracing. They will be able to identify where and how many people require vaccination, how many vaccines are available for the taking, when more is coming, etc.

Having a clear picture is essential for any major endeavor to succeed, and a type of “communal immunity” can be achieved, to break the back of community transmission” as Rubin put it.

The issue of Covid-19 Vaccine Deployment isn’t when the vaccine is coming, but “who gets it first”. The answer given by the CDC seems to be a good one, from the perspective of the scientist, who have accepted the reality that vaccine equity is no easy task, and hard decisions must be made.

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