{"id":5075,"date":"2020-04-30T16:30:18","date_gmt":"2020-04-30T15:30:18","guid":{"rendered":"https:\/\/www.gpsj.co.uk\/?p=5075"},"modified":"2020-04-30T16:30:18","modified_gmt":"2020-04-30T15:30:18","slug":"pandemic-how-a-i-and-wan-acceleration-can-help-to-find-a-cure","status":"publish","type":"post","link":"https:\/\/www.gpsj.co.uk\/?p=5075","title":{"rendered":"Pandemic: How A.I. and WAN Acceleration Can Help to Find a Cure"},"content":{"rendered":"

\"\"By Graham Jarvis, Freelance Business and Technology Journalist for GPSJ<\/span><\/em><\/p>\n

The Coronavirus COVID-19 pandemic is spreading rapidly throughout the world and scientists are racing to find a vaccine. Big Data analytics<\/a>, data visualisation and artificial intelligence are also being recruited to track the spread of the virus. This is with the aim of helping governments and public authorities to make better decisions about how to prevent and reduce the infection rate. The virulent nature of the COVID-19 means that time is of the essence.<\/p>\n

For example, ZDNET reports that \u201cThe Center for Systems Science and Engineering\u201d, at John Hopkins University, is running an online dashboard<\/a> that tracks the spread of the deadly coronavirus, as it makes its way across the globe\u2026The data is visualised through a real-time graphic information system (GIS) powered by Esri.\u201d<\/p>\n

For the livestreamed dashboard, data is collated from the World Health Organisation (WHO), as well as from centres for disease control in the US, China and Europe. This is for the purpose of showing all confirmed and suspected cases of coronavirus COVID-19. It also records the number of recovered patients and deaths.<\/p>\n

Improving contact tracing<\/strong><\/p>\n

Big data can also be used to make contact tracing more efficient. In Indonesia, for example, there is no time to wait for a vaccine that may be at least 18 months away. So, in the meantime, the country\u2019s government and health authorities need to be able to \u201crecord the applied medication, treatments and the patients\u2019 responses to find out statistically which treatment is the most effective\u201d, writes Alexander Senaputra, Technical adviser for PT Geoservices, in the Jakarta Post<\/a> on 17th<\/sup> March 2020.<\/p>\n

He adds: \u201cThis approach is similar to efforts being made to find a cure for cancer in countries with advanced medical systems. This is where all patients\u2019 data \u2014 especially those who recover \u2014 are taken and processed by algorithm to find something in common that gives doctors a lead about the best medication.\u201d<\/p>\n

Data analysis can be deployed to track the average time is takes patients to recover whenever they are receiving treatment. They can also use the data to predict how many more beds are required following a spike in COVID-19 infections, leading to an increased number of patients needing hospital treatment.<\/p>\n

China: Big data and AI<\/strong><\/p>\n

In China, the epicentre of the origins of the global pandemic, artificial intelligence<\/a> and Big Data has been deployed in its cities. Shawn Yuan, writing for Aljazeera on 1st<\/sup> March 2020<\/a>, says thermal scanners were introduced to spot people showing the symptoms, such as a high temperature. These temperature checks can be used to inform passengers, transport and health authorities to ensure that preventative action can be taken to reduce the spread of the virus.<\/p>\n

The belief is that the development of technology can enable the authorities to fight the disease in a way that was not possible during the SARS outbreak in 2003.\u00a0 However, much depends on the quality of the data that\u2019s collated and how it\u2019s defined. Data also needs to be collated from a wide variety of sources, shared and backed up.\u00a0<\/strong><\/p>\n

The obstacle: latency<\/strong><\/p>\n

However, latency and packet loss can make the synchronisation of databases inefficient and slow networks can reduce the accuracy of \u2018real-time\u2019 data. With accurate real-time data, everyone will be able to get back to normal as soon as possible, and to speed up the march towards finding a vaccine against the coronavirus. However, a lack of real-time data modelling could lead to the wrong decisions being made \u2013 including over when to reduce lockdown measures in order to kickstart the economy in each country across the world. Some countries have begun, at the time of writing of 20th<\/sup> April 2020, to take these tentative steps. The results are being closely watched.<\/p>\n

David Trossell, CEO and CTO of Bridgeworks, reveals the types of data that are crucial to decision-making: \u201cKey data to help form this decision has to include at least: number of infections, number of deaths, number of survivors, number of tests, outcome of tests, drug trials, locational data – on a global basis!\u201d In other words, governments, scientists and health authorities across the world should ideally share this data to beat back the virus.<\/p>\n

This kind of data is so invaluable it\u2019s important to protect it against ransomware and get the data together in a timely manner to ensure accurate data analysis. Trossell adds: \u201cIntelligence is at the heart of decision-making and that is driven by data. Big Data. Not so long ago, we were all talking about Big Data in the 4 key pillars, Velocity, Veracity, Volume and Verity each is key, but if we want to look at this on a global basis the velocity is going to play a key part.\u201d<\/p>\n

Data security<\/strong><\/p>\n

The preservation of data is essential, and this isn\u2019t just about real-time data. To enable the right decisions to be made, there is also a need to be able to analyse historic data. All the data the scientists, government, health authorities and other interested parties generate now could be useful in the future \u2013 helping to prevent a future pandemic. \u201cUnfortunately, we\u2019ve already seen cyber-attacks on medical organisations just when they are distracted elsewhere\u201d, says Trossell before advising: \u201cOffsite air-gapped back-ups are critical; the more the merrier in my mind, and with the right technology this is now highly possible.\u201d<\/p>\n

\u201cThe problem with off-site air-gapped data storage, and also where data has to be transferred across any distance between organisations, is one that many see as impossible to implement in an efficient way is due to latency and packet loss.\u201d However, one way to achieve this is by deploying WAN data acceleration solution such as PORTrockIT.<\/p>\n

Data accuracy<\/strong><\/p>\n

There are also concerns about data accuracy. \u201cAs we\u2018ve seen in the UK, daily data information figures can be skewed because of the lack of velocity in the data: sometimes these cover a period of number of days, sometimes the time between events and central reporting can be over 5 days, which makes the decision of how and when to lift the lockdown\u00a0 problematic\u201d, he comments.\"\"<\/p>\n

Trossell adds: \u201cSo, if we\u2019re going to combine big data analysis with AI, we\u2019ve got to meet the 4 pillars of Big Data, especially the velocity pillar; and to crack the latency problem we need a different approach to transporting data not only efficiently but securely.\u201d<\/p>\n

The issue of data accuracy is exacerbated by different governments and authorities using different data models, making a bit like comparing apples and pears. Trossell explains: \u201cThis has always been the problem with any data and digital in particular. A common reporting format would be extremely useful for the electronic gathering of data \u2013 perhaps it is something the WHO should look into for the next emergency \u2013 as we all know there will be others.\u201d<\/p>\n

Trossell concludes that the pandemic is likely to change the way people work, with more people continuing to use technology to work from home. Yet, he claims we are very social beings and that lack of contact with others is causing many mental health concerns.<\/p>\n

UK Cabinet Office\u00a0 <\/strong><\/p>\n

Meanwhile, joining the fight against COVID-19, Bridgeworks has written to the UK\u2019s Cabinet Office<\/a> to make its PORTrockIT products available free of charge for a year to \u201cany Health Organisation or Medical Research Establishment engaged in this COVID-19 work.\u201d<\/p>\n

In the letter, the company says: \u201cPORTrockIT massively accelerates the transfer of vast quantities of data over a very long distance, in a manner that is unique and which overcomes the problems of latency, packet loss and congestion on the line, in a way that no other organisation in the world has come anywhere near matching.\u201d<\/p>\n

The solution uses machine learning, artificial intelligence and parallelisation to mitigate wide area network (WAN) latency and packet loss. While this can\u2019t change a scenario where poor quality data leads to poor decisions, it can make real-time big data analysis more accurate and enable voluminous amounts of data to be shared, backed up and transferred across the globe \u2013 making it quicker and easier to conduct research and collaboration against COVID-19.<\/p>\n","protected":false},"excerpt":{"rendered":"

By Graham Jarvis, Freelance Business and Technology Journalist for GPSJ<\/p>\n

The Coronavirus COVID-19 pandemic is spreading rapidly throughout the world and scientists are racing to find a vaccine. Big Data analytics, data visualisation and artificial intelligence are also being recruited to track the spread of the virus. This is with the aim of helping governments <\/p>\n

Continue reading Pandemic: How A.I. and WAN Acceleration Can Help to Find a Cure<\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[1312,7,1,9],"tags":[1187,1793,1468,153,1715,1705,1467,25,417,26,264,738,122,416,422,1794],"class_list":["post-5075","post","type-post","status-publish","format-standard","hentry","category-central-government","category-government-agencies","category-it-it-security","category-nhs-healthcare","tag-ai","tag-big-data-analytics","tag-bridgeworks","tag-cabinet-office","tag-coronavirus","tag-covid-19","tag-david-trossell","tag-government-public-sector-journal","tag-government-journal","tag-gpsj","tag-gpsj-magazine","tag-it-security","tag-nhs","tag-public-sector-journal","tag-public-sector-magazine","tag-world-health-organisation-who","odd"],"yoast_head":"\nPandemic: How A.I. and WAN Acceleration Can Help to Find a Cure - Government & Public Sector Journal<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.gpsj.co.uk\/?p=5075\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandemic: How A.I. and WAN Acceleration Can Help to Find a Cure - Government & Public Sector Journal\" \/>\n<meta property=\"og:description\" content=\"By Graham Jarvis, Freelance Business and Technology Journalist for GPSJ The Coronavirus COVID-19 pandemic is spreading rapidly throughout the world and scientists are racing to find a vaccine. 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