From Re-Opening to Recovery: Post-COVID Security and Privacy Issues and Trends

Topic: Effective Visualizations that will aid in minimizing the spread of infectious diseases Group members: Lamar Munoz, Michael Brockenbrough, Neisha Sadhnani

This document summarizes opportunities and challenges in the field of mHealth. It discusses how mHealth is defined as using mobile devices like phones and tablets for healthcare services. The opportunities in mHealth include advances in networks and devices, healthcare reform goals to lower costs, and growing digital health investment and apps. However, challenges exist around FDA oversight of medical apps and risks from patent assertion entities pursuing litigation. Overall venture funding for digital health remains strong with the market for mHealth apps expected to reach $26 billion by 2017.

Presentation at Duke and Penn State universities’ conference on Pandemic Surveillance: Privacy, Security, and Data Ethics on 12 November

The document discusses opportunities for using data, innovation, and technology to improve health and healthcare. It notes rising healthcare costs and an aging population. It describes the US Department of Health and Human Services' (HHS) budget and initiatives to make government data more open and accessible to fuel innovation. Examples are given of apps and startups using HHS data to help consumers and improve care. The document advocates for challenging developers and collaborating across sectors to develop new solutions at the intersection of health, data, and technology.

Digital technology and COVID-19  The past decade has allowed the development of a multitude of digital tools. Now they can be used to remediate the COVID-19 outbreak. Daniel Shu Wei Ting, Lawrence Carin, Victor Dzau and Tien Y. Wong, publicado en Nature Medicine.

Mobile healthcare apps and programs are growing rapidly due to increased smartphone usage and a focus on patient-centric care. The market for healthcare apps is expected to more than double from $25 billion in 2017 to over $58 billion in 2020. Healthcare apps allow people to conveniently monitor their health and schedule appointments. Successful healthcare apps include features like user profiles, doctor profiles, appointment booking, payments, geo-location services, telemedicine, medical records storage, and medication reminders. Developing a healthcare app costs between $30,000 to $70,000 depending on features. The global market for healthcare apps is projected to reach $1 billion by 2022.

The document discusses the Early Alerting & Reporting (EAR) project, which aims to integrate existing early threat detection systems onto a common web-based platform. This would allow different organizations to access and share information on potential chemical, biological, radiological, and nuclear threats identified from open sources. The project also seeks to develop analytical risk assessments of these threats. Integrating these detection systems could help avoid duplicating efforts and resources while improving early detection capabilities. A pilot project would test sharing data and analysis between participating systems and users.

This e- book deals with role of data science during covid times. More information- https://www.henryharvin.com/business-analytics-course-with-python

Digital surveillance technologies have been deployed in response to COVID-19 for contact tracing, quarantine management, and monitoring the spread of the virus. However, these tools raise significant privacy and security concerns. They involve the collection and sharing of sensitive health data without sufficient oversight or regulation. There are risks of function creep, data breaches, inadvertent disclosures, and lack of safeguards for individuals' information and ability to seek redress. Independent audits of these technologies are needed to assess privacy and security before they see wide implementation and use of emergency powers becomes normalized.

IT is playing a key role in tackling the COVID-19 pandemic through various technologies: 1. Remote health monitoring, telemedicine, and chatbots allow virtual doctor visits and patient engagement while maintaining social distancing. 2. AI and machine learning are used to track, monitor, and predict the spread of the virus through tools like contact tracing apps and analysis of medical images and data. 3. Digital technologies help distribute reliable health information and ease anxiety through online wellness apps.

Artificial intelligence (AI) and machine learning are playing a significant role in understanding and addressing the crisis caused by COVID-19. The technology mimic human intelligence and ingest great volumes of data to quickly chart patterns and identify insights. One example is when BenevolentAI, a global leader in the development and application of artificial intelligence for drug discovery, took just few days to find that Baricitinib (a drug currently approved for rheumatoid arthritis, owned by Eli Lilly) is a strongest candidate and can be a potential treatment for COVID-19 patients. This accelerated the clinical trials of #Baricitinib and Eli Lilly (a giant American Pharmaceutical company) has already commenced phase III clinical trials of Baricitinib to treat COVID-19. Few more names include Deepmind, ImmunoPrecise, Insilico, healx, Imperial College, Tech Mahindra, and Deargen. Some Indian companies include NIRAMAI, Staqu, Qure.AI, Tech Mahindra, and DiyCam.

This document analyzes and evaluates COVID-19 web applications for health professionals. It discusses the challenges they face due to the abundance of information sources during the pandemic. The authors identify several novel and important web-based applications specifically developed for COVID-19 that can help health professionals in their research and analysis. These applications include search portals, data sources, tracking dashboards, and forecasting models. The authors provide a critical analysis of selected applications based on 17 evaluation features to help researchers evaluate and select appropriate tools.

The document describes a COVID19 Analyzer application created using HTML, CSS, JavaScript, and React. The application aims to improve accessibility of basic COVID-19 information for the public and policymakers by depicting daily disease trends in India. It analyzes existing COVID tracking applications in India but provides worldwide data. The application architecture uses a decoupled front-end and back-end design with a client-side cloud receiving data from a server-side cloud database through REST APIs. This allows dynamic updating of COVID case statistics on the main interface.

Nobody can predict the future, however by following trends, we can navigate the direction in which we’re heading. Trends are dictated by a wide range of economic and political factors, and often they are propelled by innovations. The newest technological trends owe themselves to necessary innovations in the healthcare industry, spurred by the Covid-19 pandemic. With the Covid-19 pandemic revealing the gaps and inefficiencies of healthcare systems around the world, the newest developments in healthcare technologies are suddenly getting a lot more attention. This is useful, because the executives who are often hesitant in changing long-standing healthcare practices must revaluate and evolve in order to provide the most effective treatment plans for their patients.

Artificial intelligence has helped address many challenges posed by the COVID-19 pandemic. AI has been used for disease surveillance and tracking the spread of the virus faster than health organizations, developing virtual healthcare assistants to provide medical information and screening, and improving diagnostic times by analyzing CT scans to detect pneumonia. Other applications of AI include using facial recognition and thermal cameras to identify individuals with fevers, deploying robots for tasks like food delivery to isolate patients and reduce risk to healthcare workers, expediting vaccine and drug research, and combating the spread of misinformation online. While concerns exist around privacy, AI shows promise in supporting the global response efforts to this public health crisis.

This ppt tells about the influence of  facial recognition system after covid 19 to verify the identity of a person.

With the COVID-19 pandemic, technologists everywhere are rushing to create applications, services, and systems for contact tracing: identifying and notifying all those who are familiar with the carrier.

In this issue of TOP TEN we provide the reader with a wealth of information related to current and future usages of BIG DATA. The reader will get an insight into usages in the realm of education, health, construction, management as well as marketing.