Literature DB >> 32377057

Emerging Technologies to Combat the COVID-19 Pandemic.

Raju Vaishya1, Abid Haleem2, Abhishek Vaish1, Mohd Javaid2.   

Abstract

Entities:  

Year:  2020        PMID: 32377057      PMCID: PMC7199684          DOI: 10.1016/j.jceh.2020.04.019

Source DB:  PubMed          Journal:  J Clin Exp Hepatol        ISSN: 0973-6883


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SARS CoV-2 infection is spreading similar to wildfire across the globe. There have been already more than 2.5 million documented infected cases, causing more than 177 thousand fatalities. The fact is that it took ninety-three days to the first million people, but for the second million, it took only thirteen days to happen. A large part of the globe is under lockdown with despair lingering, and this universe in disarray. We need to look for competent and advanced technological solutions to combat this pandemic (and similar epidemics and pandemics in the future); otherwise, we could be staring at an unmanageable crisis. Surge demands of critical care facilities have broken down the best health-care models in the world and facilities. The best industries have failed in providing even the simple protective suits to their governments. There is a need to rethink why the health-care sector has been so ineffective in treating such an infectious disease. We believe and recommend that the latest emerging technologies be urgently adopted at the global level, and the governments need to reinvest resources in making healthy nations, not powerful nations. Significantly more investment in health care is the need of the day, especially in preventive medicine, community health, and disaster management. The most critical asset in fighting this disease is our frontline doctors and health-care workers. However, unfortunately, our system has failed in saving them from this infection also. South Korea, Japan, China, the USA, and many other developed countries are trying to use the latest technologies to minimize the effect of this pandemic and decrease the loss of life and loss to the economy. The COVID-19 pandemic has taken the world as a surprise, and the majority of governments has failed to judge the magnitude of the problem and could not prepare themselves, in time. Thus, they lost the opportunity to add more resources and deploy the latest technologies. This pandemic has triggered an unprecedented demand for critical resources, and they need to adopt all the emerging technologies to help to combat this pandemic by way of several applications (Table 1), such as for population screening, infection tracking, vaccine development, effective quarantine, prioritizing the use and allocation of resources, and designing targeted responses. To avoid coming in contact with human beings and physical objects, which may be potentially infected, several innovative and emerging technologies are being considered by the health-care authorities to protect their workers and also to deliver the treatment and other facilities to the needy patients.,
Table 1

Applications of Emerging Technologies in the COVID-19 Pandemic.

S NoEmerging technologyApplications in the COVID-19 pandemic
Artificial intelligence (AI)

Detecting virus, individuals with fever, and suspected symptoms of COVID-19 through the integration of thermal imaging, AI, computer vision, and cloud computing and accordingly advice for the treatment. Further, this has brought down the time of genetic detection to minutes.

2Cloud computing

All necessary information is stored at a computing platform and made available to enable an enormous amount of computing power to the users with the help of the internet and helps in making real-time decisions in disease modeling. Software can be used with blockchain and other tools to model requirements of critical facilities at a different level, from the hospital to the nation.

3Big data

Provide storage capacity for extensive data of the population in a format that can be used efficiently for analysis and necessary action can be taken toward the prevention of disease transmission, movement, health monitoring, and prevention system

4Telemedicine

A patient can have a consultation from well-trained professionals on their medical conditions through video calls, avoiding the need for a hospital visit and thus helping the social distancing and man-to-man contact and disease transmission. However, these remote consultations are now possible with using better telecom infrastructure with virtual reality and augmented reality

5Blockchain

Algorithm help provides real-time information to all the strategic partners and traceability in the process of disease control and helps toward effective management of the supply chain

65G + smart applications

The high-speed network allows real-time data of video and audio quality for patient data analysis, telemedicine, medical, and surgical intervention

7Internet of things (IoT)

All devices are connected to the internet in the hospital and strategic locations. Thus, these connected devices help to inform the medical staff of any errors and change of requirements during the treatment process (similar to the factories of the future).

8Drones

These unmanned vehicles controlled by remote location can undertake jobs of logistics providers and area surveillance and can also be used for disinfecting remote locations

9Robotics

Undertakes repetitive jobs with precision and reliability in the hazardous environment of infectious disease in and around the hospitals and can make an intelligent decision with inputs from the population data analyzed through AI

10Modern enterprise video communications platform

Application of the software helps in holding video and audio communications, chats, and webinars easily and quickly through large numbers of communication devices.

11Additive manufacturing

Undertakes manufacture of personalized devices for health-care workers and patients, using 3D printing technology for the COVID-19, whenever required.

12Smartphone apps

Uses high-speed network and help to track strategic locations, infected patients and registering the data and modeling of disease outcomes as per the application software and other technologies can also be integrated with the software.

Applications of Emerging Technologies in the COVID-19 Pandemic. Detecting virus, individuals with fever, and suspected symptoms of COVID-19 through the integration of thermal imaging, AI, computer vision, and cloud computing and accordingly advice for the treatment. Further, this has brought down the time of genetic detection to minutes. All necessary information is stored at a computing platform and made available to enable an enormous amount of computing power to the users with the help of the internet and helps in making real-time decisions in disease modeling. Software can be used with blockchain and other tools to model requirements of critical facilities at a different level, from the hospital to the nation. Provide storage capacity for extensive data of the population in a format that can be used efficiently for analysis and necessary action can be taken toward the prevention of disease transmission, movement, health monitoring, and prevention system A patient can have a consultation from well-trained professionals on their medical conditions through video calls, avoiding the need for a hospital visit and thus helping the social distancing and man-to-man contact and disease transmission. However, these remote consultations are now possible with using better telecom infrastructure with virtual reality and augmented reality Algorithm help provides real-time information to all the strategic partners and traceability in the process of disease control and helps toward effective management of the supply chain The high-speed network allows real-time data of video and audio quality for patient data analysis, telemedicine, medical, and surgical intervention All devices are connected to the internet in the hospital and strategic locations. Thus, these connected devices help to inform the medical staff of any errors and change of requirements during the treatment process (similar to the factories of the future). These unmanned vehicles controlled by remote location can undertake jobs of logistics providers and area surveillance and can also be used for disinfecting remote locations Undertakes repetitive jobs with precision and reliability in the hazardous environment of infectious disease in and around the hospitals and can make an intelligent decision with inputs from the population data analyzed through AI Application of the software helps in holding video and audio communications, chats, and webinars easily and quickly through large numbers of communication devices. Undertakes manufacture of personalized devices for health-care workers and patients, using 3D printing technology for the COVID-19, whenever required. Uses high-speed network and help to track strategic locations, infected patients and registering the data and modeling of disease outcomes as per the application software and other technologies can also be integrated with the software. The positioning technologies are playing a crucial role in disaster management. Agencies can quickly get precise positions of locations to undertake relief and rehabilitation efforts accordingly. Smartphone-based application software is developed and used to identify the movement of people and resources and even to determine if they are in contact with an infected individual. The software is used to model and optimize the supply chain with the latest algorithms. However, this needs an upgraded telecommunication infrastructure to offer 5G functionality. Molecular technologies with supercomputing facilities are trying to deliver the vaccine as early as possible. Several engineering-based innovative and modern technologies need to be used to fight back this pandemic effectively. Recent practices have proven that new-generation technologies have huge advantages, and they are the building blocks for Industry 4.0. Thus, we see an essential role of these technologies in responding to this global emergency of public health challenges.6, 7, 8 An optimal help of the digital technologies such as artificial intelligence, big data, molecular biology, Internet of things, cloud computing, blockchain, additive manufacturing, 5G, and many more of such technologies are urgently needed to effectively improve the efficiency of the global efforts in epidemic monitoring, virus tracking, prevention, control, treatment, resource allocation, and vaccine development. The COVID-19 pandemic has to be fought on the war level, with the latest technological innovations. Industry 4.0 (also known as the 4th industrial revolution) has now started, and the medical world has to gear up to come forward to embrace these emerging and promising strategies and implementing Medicine 4.0.

CREDIT AUTHORSHIP CONTRIBUTION STATEMENT

Raju Vaishya: Concept, writing some part of the paper. Abid Haleem: Concept and writing some part of the paper. Abhishek Vaish: Writing some part and checked whole paper. Mohd Javaid: Writing some part and checked whole paper.
  4 in total

1.  Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing.

Authors:  C Jason Wang; Chun Y Ng; Robert H Brook
Journal:  JAMA       Date:  2020-04-14       Impact factor: 56.272

2.  Areas of academic research with the impact of COVID-19.

Authors:  Abid Haleem; Mohd Javaid; Raju Vaishya; S G Deshmukh
Journal:  Am J Emerg Med       Date:  2020-04-15       Impact factor: 2.469

Review 3.  Joint Guidance from SGEI, ISG and INASL for Gastroenterologists and Gastrointestinal Endoscopists on the Prevention, Care, and Management of Patients With COVID-19.

Authors:  Mathew Philip; Sundeep Lakhtakia; Rakesh Aggarwal; Kaushal Madan; Vivek Saraswat; Govind Makharia
Journal:  J Clin Exp Hepatol       Date:  2020-04-03

4.  Rapid response to COVID-19: health informatics support for outbreak management in an academic health system.

Authors:  J Jeffery Reeves; Hannah M Hollandsworth; Francesca J Torriani; Randy Taplitz; Shira Abeles; Ming Tai-Seale; Marlene Millen; Brian J Clay; Christopher A Longhurst
Journal:  J Am Med Inform Assoc       Date:  2020-06-01       Impact factor: 7.942

  4 in total
  11 in total

1.  Towards Reinforcing Healthcare 4.0: A Green Real-Time IIoT Scheduling and Nesting Architecture for COVID-19 Large-Scale 3D Printing Tasks.

Authors:  Lamis R Darwish; Mahmoud M Farag; Mohamed T El-Wakad
Journal:  IEEE Access       Date:  2020-11-25       Impact factor: 3.367

Review 2.  Additive manufacturing against the Covid-19 pandemic: a technological model for the adaptability and networking.

Authors:  Henry A Colorado; David E Mendoza; Hua-Tay Lin; Elkin Gutierrez-Velasquez
Journal:  J Mater Res Technol       Date:  2021-12-20       Impact factor: 6.267

Review 3.  The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype.

Authors:  Musa Abdulkareem; Steffen E Petersen
Journal:  Front Artif Intell       Date:  2021-05-14

Review 4.  Artificial intelligence as a fundamental tool in management of infectious diseases and its current implementation in COVID-19 pandemic.

Authors:  Ishnoor Kaur; Tapan Behl; Lotfi Aleya; Habibur Rahman; Arun Kumar; Sandeep Arora; Israt Jahan Bulbul
Journal:  Environ Sci Pollut Res Int       Date:  2021-05-25       Impact factor: 4.223

5.  An application to support COVID-19 occupational health and patient tracking at a Veterans Affairs medical center.

Authors:  Nathanael R Fillmore; Danne C Elbers; Jennifer La; Theodore C Feldman; Feng-Chi Sung; Robert B Hall; Vinh Nguyen; Nicholas Link; Robert Zwolinski; Svitlana Dipietro; Steven J Miller; Anahit Aleksanyan; Sergey D Goryachev; Paul Corcoran; Steven J Bergstrom; Michael A Parenteau; Robert S Sprague; David J Thornton; Jane A Driver; Judith M Strymish; Stewart Evans; Benjamin Colonna; Mary T Brophy; Nhan V Do
Journal:  J Am Med Inform Assoc       Date:  2020-11-01       Impact factor: 4.497

6.  Topological analysis for sequence variability: Case study on more than 2K SARS-CoV-2 sequences of COVID-19 infected 54 countriesvin comparison with SARS-CoV-1 and MERS-CoV.

Authors:  Jnanendra Prasad Sarkar; Indrajit Saha; Arijit Seal; Debasree Maity; Ujjwal Maulik
Journal:  Infect Genet Evol       Date:  2021-01-06       Impact factor: 3.342

7.  Review of Recent Technologies for Tackling COVID-19.

Authors:  Ayman Alharbi; M D Abdur Rahman
Journal:  SN Comput Sci       Date:  2021-09-16

8.  Jordanian nurses' attitudes toward using electronic health records during COVID-19 pandemic.

Authors:  Walaa H Abed; Ghada M Abu Shosha; Islam A Oweidat; Rafat I Saleh; Abdulqadir J Nashwan
Journal:  Inform Med Unlocked       Date:  2022-10-04

Review 9.  A year into the COVID-19 pandemic: Rethinking of wastewater monitoring as a preemptive approach.

Authors:  Rama Pulicharla; Guneet Kaur; Satinder K Brar
Journal:  J Environ Chem Eng       Date:  2021-07-16

Review 10.  COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review.

Authors:  Jasjit S Suri; Anudeep Puvvula; Mainak Biswas; Misha Majhail; Luca Saba; Gavino Faa; Inder M Singh; Ronald Oberleitner; Monika Turk; Paramjit S Chadha; Amer M Johri; J Miguel Sanches; Narendra N Khanna; Klaudija Viskovic; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; David W Sobel; Antonella Balestrieri; Petros P Sfikakis; George Tsoulfas; Athanasios Protogerou; Durga Prasanna Misra; Vikas Agarwal; George D Kitas; Puneet Ahluwalia; Raghu Kolluri; Jagjit Teji; Mustafa Al Maini; Ann Agbakoba; Surinder K Dhanjil; Meyypan Sockalingam; Ajit Saxena; Andrew Nicolaides; Aditya Sharma; Vijay Rathore; Janet N A Ajuluchukwu; Mostafa Fatemi; Azra Alizad; Vijay Viswanathan; Pudukode R Krishnan; Subbaram Naidu
Journal:  Comput Biol Med       Date:  2020-08-14       Impact factor: 4.589

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