{"id":22364,"date":"2020-11-21T12:04:21","date_gmt":"2020-11-21T06:34:21","guid":{"rendered":"https:\/\/www.mygreatlearning.com\/blog\/data-a-potential-solution-to-the-covid-19-situation\/"},"modified":"2024-10-28T11:10:53","modified_gmt":"2024-10-28T05:40:53","slug":"data-a-potential-solution-to-the-covid-19-situation","status":"publish","type":"post","link":"https:\/\/www.mygreatlearning.com\/blog\/data-a-potential-solution-to-the-covid-19-situation\/","title":{"rendered":"Data \u2013 A Potential Solution To The COVID-19 Situation?"},"content":{"rendered":"\n<p>Calling it a tidal wave of numbers, graphs, or data won\u2019t be an overstatement in the current COVID-19 scenario. Petabytes of data running through the information expressway and almost every corporation scurrying to assimilate it \u2013 for what exactly?<\/p>\n\n\n\n<p>As the entire globe is struggling to grab hold of the sheer scale and scope of the problem, data aggregators and tech giants are trying to step up by introducing newer ways to predict, analyze, and derive comforting insights from numbers. From allocating resources, measuring the effectiveness of pandemic, to crafting responses \u2013 data can be the only tangible thing in the face of uncertainty.<\/p>\n\n\n\n<p>A recent webinar on <em>\u2018Using Data Science to Fight COVID-19\u2019 <\/em>by Munther Dahleh, Director of MIT Institute for Data Systems, and Society (IDSS), conducted in collaboration with Great Learning suggested the same. IDSS has created a volunteer research group, called Isolat, that helps in providing pandemic-related data.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"Using Data Science To Fight Covid-19 And How to Start Learning ADSB | Great Learning\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/w9_hJtYEguU?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p><em>\u201cStatistics and probability are primarily tools that can be leveraged to measure uncertainty, and IDSS can use the expertise to impact policymaking.\u201d<\/em> Said Prof. Dahleh. The webinar spoke about how data can be noisy but still made relevant followed by the approaches and broad areas that data can bring to the table including \u2013<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Creation of heterogeneous data sets such as interventions, mobility, and spread of the virus<\/li>\n\n\n\n<li>Predicting an array of critical time-bound variables<\/li>\n\n\n\n<li>Making sense of policies and effects on intervention with respect to the virus<\/li>\n<\/ul>\n\n\n\n<p>Relatively less has been spoken about how COVID-19 and advanced technologies can be the best solution\u00a0 to assess the situation. Conversations on the dinner table have now turned to the present problems - owing to the unpredictability of COVID-19. about the future on the dinner table have now translated into the \u2018present\u2019 problems \u2013 owing to the unpredictability of COVID-19.\u00a0\u00a0<\/p>\n\n\n\n<p><em>\u201cIs a financial collapse inevitable? The 2008 crisis was a systemic risk because the mortgage market was fragile. And if real-time data collection can be an essential part of the ecosystem today, this can be avoided.\u201d<\/em> \u2013 While the financial side of the COVID-19\u2019s consequences looks far-sighted now, Prof Dahleh believes this is one aspect that should be taken into consideration.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"more-data-more-insights-or-less-data-even-better-insights\"><strong>More data, more insights, or less data, even better insights?<\/strong><\/h2>\n\n\n\n<p>The debate between quality and quantity can\u2019t and shouldn\u2019t be overlooked. Probably, the answer here lies in the right methods and most importantly, computation. Putting the right computational power and data into the problem could be a driving factor to reduce the impact of a pandemic.<\/p>\n\n\n\n<p>To get the basics of data points in order \u2013 There are around 31mn cases, 980k deaths, limited PCR testing, different symptoms, a larger incubation period, and questionable antibody testing. The only motive behind these numbers is to manage the number of infections and use the resources, while at it.<\/p>\n\n\n\n<p>The three heterogeneous components to one of the most easily understood yet complex datasets are physical engineered systems, social behaviour, and institutions.&nbsp; The property, propagation, weight, and size are the biological aspects of COVID-19; social behaviour is what we call the economics of society which can be easily tracked via datasets if managed properly, and policymakers, stakeholders, economic forums and health organizations make up for the institutions.<\/p>\n\n\n\n<p>Mitigating the problem has its roadblocks because the datasets are unstructured \u2013 there could be 90% of people going to work in one country whereas, 90% could be working from home in another.<\/p>\n\n\n\n<p>Prof Dahleh, along with this team has worked on a solution that involved two brackets to gather data \u2013 observations and decision systems. <em>\u201cHow much lockdown is necessary to contain this disease?\u201d<\/em>&nbsp; From the right approaches to how testing is a precautionary measure, there could be many aspects to these datasets than just numbers.&nbsp;<\/p>\n\n\n\n<p>A little analysis of the problem could encompass questions such as - When there was no lockdown, a lot of people were dying from the vulnerable sections of society. One of the reasons was them living in high-density areas, for instance. But when the lockdown was imposed, they had to step out to feed the families and they were dying still. The solution?<\/p>\n\n\n\n<p>Prof Dahleh suggests policymakers can infuse reforms in such societies with the precise data on what, when, and how of the communities, and the jobs that require them to move out.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"data-data-data-noisy-but-useful\"><strong>Data, data, data \u2013 Noisy, but useful<\/strong><\/h2>\n\n\n\n<p>Throughout the pandemic, a lot of emphasis has been put on sharing critical information across many countries. It made sense then, and it makes sense now. IDSS, during its research, came across two different scenarios to understand the situation better.<\/p>\n\n\n\n<p>This is a systematic way of estimating the growth rate of COVID-19 - On the left in this diagram here, they plotted the number of infected people as a function of time -&nbsp; in a situation where the pandemic is under control. Initially, things grow, they peak and come down, with every patient presenting different symptoms \u2013 from asymptomatic, mild to severe.<\/p>\n\n\n\n<p>On the right, there is an exponential rise in the number of cases and another level of growth with no as such exponential \u2013 in a situation where the pandemic is not controlled.<\/p>\n\n\n\n<p>The insights from this? \u2013 Random sampling. In March-April, there was no random testing in Iceland. People getting tested were self-declared sick (<em>\u2018Purple\u2019 In the picture<\/em>).<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"\"><\/h4>\n\n\n\n<p>In the second scenario, the team assumed severe cases are a fixed ratio of total cases \u2013 this presented only the severe cases data. Followed by an assumption where people with severe symptoms are the constant fraction of people who have COVID-19, this data all suddenly became valuable. <em>\u201cWhat matters is the ratio, not the absolute number, it just cares about the growth\u201d <\/em>is what Prof Dahleh commented.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"does-intervention-even-matter\"><strong>Does Intervention even matter?<\/strong><\/h2>\n\n\n\n<p>Every country across the globe wanted to measure the lockdown - and Google\u2019s data turned out to be helpful\u2013 how many businesses shut down, the number of new hospitals, so on and so forth. The IDSS team evaluated datasets of the United States and the United Kingdom. This is the curve of the number of deaths -<\/p>\n\n\n\n<p>Followed by what happened in India after the lockdown was imposed \u2013<\/p>\n\n\n\n<p><em>\u201cIf India didn\u2019t impose the lockdown early, there\u2019d have been 9X times more deaths.\u201d <\/em>Is how Prof Dahleh put it.<\/p>\n\n\n\n<p><strong>What\u2019s next?<\/strong><\/p>\n\n\n\n<p>More than any other human event in the recent past, this pandemic has been researched and studied intensely. There will undoubtedly be both good and bad data around it, but if it can be translated into a life-saving asset, we\u2019d win.<\/p>\n\n\n\n<p>This also asserts the importance of data and its growing power in the field of technology. Data science has become a sought-after career in today\u2019s era of technology. If you want to learn data science to make business decisions, check out the&nbsp;<a href=\"https:\/\/www.mygreatlearning.com\/mit-data-science-program\" target=\"_blank\" rel=\"noreferrer noopener\">Applied Data Science Program<\/a>&nbsp;by MIT Professional Education.&nbsp; Through this program, you will learn Data Science through live virtual sessions taught by award-winning MIT faculty, live mentorship from industry experts, and hands-on projects including 1 Capstone.&nbsp;<a href=\"https:\/\/www.mygreatlearning.com\/mit-data-science-program\" target=\"_blank\" rel=\"noreferrer noopener\">Click here<\/a>&nbsp;to download its&nbsp;brochure.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Calling it a tidal wave of numbers, graphs, or data won\u2019t be an overstatement in the current COVID-19 scenario. Petabytes of data running through the information expressway and almost every corporation scurrying to assimilate it \u2013 for what exactly? As the entire globe is struggling to grab hold of the sheer scale and scope of [&hellip;]<\/p>\n","protected":false},"author":41,"featured_media":22375,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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