Abstract
In March 2020, the World Health Organization (WHO) declared COVID-19 as a pandemic that covers around 185 countries and territories in the world where the coronavirus infirmity is present. The COVID-19 epidemic is dispersing all over the world in a few months. The traditional health care systems face new challenges associated with the constant increase of patients with this disease. This epidemic has caused a mess worldwide. In India, cases are increased day by day. Due to COVID-19, countries have a huge loss which cannot be estimated both in the economy and life of citizens. To recover this economic loss and save the life, deployment of emerging technologies is used to battle this invisible enemy. During this period, several researchers have written lots of research papers in various fields. The main aim of this chapter is to summarize the existing literature addressing the use of computational intelligence (CI) technologies to battle COVID-19 infection. Nowadays researchers have been analyzed the data related to COVID-19 and draw some conclusions by applying emerging technologies like AI, IoT, deep learning, Blockchain, Neural Network, Fuzzy, and machine learning algorithms. These strategies help policymakers and frontline people to take additional steps by avoiding the unfold of the virus and manage the disease. Researchers also suggest the use of Artificial Intelligence (AI) and the Internet of Things (IoT) to fight this pandemic and do all necessary work by following the guidelines given by the government.
Access provided by Autonomous University of Puebla. Download chapter PDF
Similar content being viewed by others
Keywords
1 Introduction
Several epidemics invaded the world in world history until now. The World Health Organization (WHO) and a number of national agencies of the countries fight against these epidemics to date. The first case of COVID-19 was confirmed in Wuhan city of China in December 2019. Coronavirus spread in more than 185 countries infecting more than 7,145,800 persons and also causing 407,067 deaths by June 09, 2020 [1]. The novel coronavirus, Covid-19, was initiated from Wuhan and has stretched speedily across the world. WHO declared Covid-19 as a pandemic in the world [2]. The new infection spread by the virus of the corona family and at present time the globe is a threat from the Covid-19. Till now, many countries around the globe have observed huge cases of Covid-19. The main target of this virus is those people who have less immunity, old age, and have any medical problems especially linked with lungs. Till now no vaccine is available for Covid-19.
The variety of inflamed humans is growing daily with the aid of using day with inside the world due to the transmittable nature of coronavirus. The transmission of coronavirus is spread person to person contacts and also occurred in community transmission. Coronavirus can spread a range of illnesses wherein respiratory is one of them. COVID-19 symptoms may become up within 2 weeks after the infection. The only prevention is the main concern to manage the Covid-19. Covid-19 affects the daily life of human beings. It mainly affects the health, economic, and social life of human beings [3].
The life of human beings is mostly influenced by COVID-19 and also slows down the growth of activities in the world. The detection of coronavirus near the beginning stage is very essential to control the increase of the virus because of its transmittable nature. Some characteristics of this virus are listed as [4]:
-
High spread rate: In a few months, coronavirus spread in the world and become a pandemic globally. The movements of people globally by crossing international borders are the main reason for its spread and from human to human contact.
-
Specific Target: Old age people are the main target because they have low immunity and other respiratory problems. People with other medical issues like diabetes, heart problem; blood pressure are also the targets of this virus.
-
Recovery Rate: The recovery rate of coronavirus infected patients is low globally and differs from country to country.
This pandemic has affected all the domains and also modifies the way of life. Due to COVID-19, countries have a huge loss which cannot be estimated both in the economy and life of citizens. To recover this economic loss and save a life, deployment of emerging technologies is used to battle this invisible enemy. AI domain is used to pick out the COVID-19 symptoms with the usage of CT images. The high speed of the internet is needed for teleconferencing and telemedicine which is provided by 5G network technology and additionally assist to ship and receive heavy length pictures very fast. IoT tool is used to connect all the devices of hospitals with the internet and help to provide updated information to health workers. Data may be shared remotely with the help of blockchain technology in a secure manner and assist to streamline the supply chains of various types of medical equipment like face masks, PPE kits, sanitizer, etc., and many more technologies are used during this pandemic time. Section 11.2 of this chapter is clearing up the role of CI technologies in this pandemic environment and how it saves life globally. Section 11.3 summarizes the literature review of research papers written by academic researchers in the COVID-19 pandemic time on a number of CI technologies like AI, IoT, and other technologies including, blockchain, including Cloud computing, Drones, Big data, and 5G network technology.
2 Role of Computational Intelligence (CI) to Quash Covid-19
Pandemics have been frightening human beings again and again. The various pandemics like SARS, H1N1, Ebola, and many more have shown their teeth in the precedent but from every pandemic, human beings learn a new way to battle and save their life from these kinds of outbreaks with the help of technologies [5]. Technology refers to techniques, frameworks, and developed the many devices which are designed by the use of scientific information are useful for a practical purpose.
To combat coronavirus, various technologies play an essential role like AI technology helps to spot the patients and virus, disease tracking, and prediction [6]. IoT technology connects all the medical equipments with the internet and helps the healthcare workers to provide the treatment remotely and diminish the physical contacts. The amalgamation of AI with medical imaging can modify the way of diagnosis. Machine learning develops algorithms that improve the decision-making process. Technology plays a critical role to deal with the COVID-19 situation by using robotics to supply food packets and medicines to the patients who are affected by this virus in the hospitals and in remotely monitoring patients. Figure 11.1 shows the number of ways that emerging technologies tackle coronavirus.
2.1 Preventive Measures
Coronavirus nature is transmittable means it can spread from the contacts of a healthy person with an infected person and it spreads very fast. Till now no vaccine is found for this kind of virus. The only solution is prevention. Main prevention is required in the hospitals, where health workers are performing the treatment to save lives and they come directly in contact with the infected patients. Face masks are the essential equipment used by medical examiners to diminish the threat of contact with the virus while performing their jobs. Also, great pressure on the manufacturing units of antiviral soap and sanitizers to fullfill the needs to keep the price in control. Autonomous sanitizing machines are required to deploy at affected clusters to bring the spread of the virus to an end. The most relevant solutions applied with the usage of emerging technologies that enable the faster and efficient way to battle with COVID-19 pandemic are as follows [7]:
-
Disease Surveillance
-
Air Filtration Systems
-
Disinfectants
-
Spit Disposal
-
Antiviral Masks
2.2 Diagnostic Solutions
The WHO advised all health authorities throughout the world to test, detect, trace, and isolated coronavirus infected patients. Only social distancing is the one and only solution to diminish the spread of the virus and used home testing and diagnostic kits. Due to an increase in the number of infected patients and for the security measures, virtual medical visits and remotely diagnosis of patients are doing by the doctors. Chatbots and a number of mobile apps are used in the battle of COVID-19.
The most relevant solutions for the diagnosis of infections are applied with the usage of emerging technologies that enable a faster and efficient way to battle with COVID-19 pandemic are as follows [7]:
-
Mobile Diagnostics by doctors
-
Telehealth
-
Remote Patient Diagnosis
-
Disease Detection Kits
2.3 Hospital Care
Hospitals are the main battlefield where health workers directly contact infected patients and provide treatment. To avoid physical contact, Robots are employed to supply food packets and pills to infected persons and help out to reduce the burden from health workers. Artificial ventilators are used to improve the patient’s management. Health workers are the front line warriors who require safety goggles, PPE Kits, gloves, and surgical-grade essentials.
To battle with COVID-19 pandemic in a faster and efficient way in the hospital areas, the emerging technologies are providing the following solutions [7]:
-
Hospital Robots
-
3D Printed Ventilator Valve
-
Artificial Cough Device
-
AI Algorithms For Patient Monitoring
-
Antipathogen Fabric
2.4 Industry Adaptation
During this epidemic time, all the factories, industries, and businesses are locked due to the lockdown situation and result in heavy losses. To prevent the loss, many industries and businesses are circulating from bodily to virtual platforms by using the rising technologies. Robots and drones are employed to moving items from one place to another in industries and stop the stretch of the virus by minimizing social distancing. Machines and components in a factory are controlled by augmented reality to diminish the workers inside the factory. The most relevant solutions for industries adopted during this epidemic are the usage of emerging technologies that enable faster and efficient way are as follows [7]:
-
Digital Factory
-
Human In The Loop Technology
-
Real-Time Supply Chain Monitoring
-
Augmented Reality Collaboration
-
Industrial Cleaning
-
Industrial Cybersecurity
-
Industrial Autonomous Vehicles
2.5 Remote Healthcare
In this pandemic time, hospitals are not able to give attention to normal patients and also it is not secure to visit the hospitals in that situation. But for their treatments, health workers are using lots of applications to provide assistance and treatment to them. The digital platform allows doctors and infected persons to remotely communicate with video conferencing and provides digital medical assistance by maintaining social distancing.
The most relevant solutions for remote healthcare are applied with the usage of emerging technologies that enable a faster and efficient way to battle with COVID-19 pandemic are as follows [7]:
-
Remote Monitoring
-
Telehealth
-
Respiratory Monitoring
-
Digital Stethoscope
-
Mental Health Chatbots
-
Wearable Sensors
2.6 Individuals Adaptation
During the lockdown and also to maintain the social distancing to prevent the spread of infection, smartphones-based applications are used to connect with each other. Due to coronavirus, schools, colleges, and universities are using the E-learning platforms to complete their syllabus and continue the teaching-learning process between the teachers and students. Offices are temporarily closed in this situation and finding innovative online tools to connect the employees remotely and provide the solution work from home to stop the spread of the virus. For entertainment, streaming and apps are used for passing time, because in this outbreak all the sources of entertainment like Malls, Cinema Halls, Gyms, Fun clubs, and many more are shutdown. Technology enables people to normally live their life by maintaining social distancing and self-isolation during this pandemic time.
The most relevant solutions for individuals adopted during the battle with the COVID-19 pandemic with the usage of emerging technologies that enable faster and efficient way are as follows [7]:
-
Shared Streaming & Entertainment
-
Work from Home
-
Loneliness Management
-
Stress & Anxiety Reduction by Meditation
-
Online Learning platform
-
Online Food & Grocery Delivery by using apps
-
Indoor Workouts
3 Literature Review
The COVID-19 pandemic is dispersing all over the world and countries suffering from this infection are failed to predict the magnitude of the situation due to the heavy demand for medical care facilities broken down the top healthcare models in the world. Now activities of the person have moved to the binary platform by using emerging technologies like AI, Cloud Computing, IoT, Blockchain, 5G Network, Robotics, and Drones to prevent, diagnose, tracing of the virus, social distancing, workplace safety, and many more. These technologies get better consistency of treatment and also the power of decision making. The infected patients are increasing daily globally and at that time its need to utilize the emerging technologies in a robust, organized manner, and in an efficient way to enhance the battle against the COVID-19 pandemic. Figure 11.2 demonstrates the accomplishment of CI technologies to handle the COVID-19 pandemic situation.
Technology refers to techniques, frameworks, and devices which are the aftereffect of scientific information being utilized for practical purposes. Emerging technologies like AI, Cloud Computing, IoT, Big data, neural network are used to handle this pandemic situation. Table 11.1 summarized the literature review of AI technology-based research papers. Table 11.2 contains the literature review of IoT technology-based research papers written on this pandemic time to handle this situation. Big data, cloud computing, fuzzy logic, blockchain, neural network-based research papers written on the COVID-19 epidemic situation are reviewed in Table 11.3.
3.1 Applications of Artificial Intelligence
-
Used to identify the COVID-19 infection through chest CT images.
-
COVID-19 suspected patients are detected with signs and symptoms.
-
Mobile applications based on AI are used to spread awareness and tracing for COVID-19 infection.
-
Improve the discovery of COVID-19 drugs.
-
Reducing the workload of health workers.
AI technology is playing an essential role in the fight with COVID-19 and also provides quick solutions to prevent this virus. Many applications are designed on AI technology like ArogyaSetu App in India which is used to create awareness, self-assessment, and also help to trace the contacts for COVID-19 infection. During this pandemic time, front line worriers are facing overload problems due to the huge increase of infected patients and have limited health workers. AI technology-based systems help to minimize the burden by performing quick diagnosis. It also helps in prediction and detection of coronavirus. AI technology is used to design and develop robotics and drones. Robotics is used for the supply of food packets and medicines to the infected patients in the hospitals and help to maintain social distancing. Drones are used to spry the disinfectant in the quarantine zones and help to stop the spread of coronavirus.
3.2 Applications of IoT
-
IOT technology helps in remote monitoring of self-quarantine and self-assessment and sends the data to health workers for the assessment.
-
IOT technology helps in the rapid diagnosis of a human being with a history of traveling in COVID-19-affected countries.
-
Support remote consultations between healthcare workers and patients with smart video conferencing and telemedicine.
-
Smart thermometers are used to check the temperature of the person.
In the pandemic time, IoT technology has been used in the medical domain and also gives a positive result to handle this disease. IoT technologies are used in three phases including early identification, quarantine time, and after recovery. IoT-enabled devices like wearable, drones, robots, IoT buttons, and smartphone applications are used in fighting with COVID-19 [45].
IoMT is the extended version of IoT in the field of medicine. IoMT technology helps to provide an integrated network of medical equipment to healthcare workers to battle this pandemic situation and automatically convey a message to the medical staff. With this technology, infected cases are easily handled in a remote location with well-connected teleservices. IoMT technology excellently screens the infected patients and also handles all the cases smartly. A better environment can be created with the proper accomplishment of this technology which helps to fight this invisible enemy.
3.3 Applications of Other Technologies
-
Big data is used to track COVID-19 cases and provides a large amount of space to store data.
-
Drones are used for disinfecting and sterilizing COVID-19 contaminated areas.
-
Autonomous robots are used to provide medicines and food to COVID-19 patients and reduce health worker’s risks of infection.
-
With the help of blockchain, verification and validation of COVID-19 data are done in an easy way.
-
Facilitates the secure sharing of data.
-
5G technology supports real-time sharing of health data and high-quality video conferencing.
-
Home quarantine patients are tracked using GPS and mobile phones.
-
Reduce the load of healthcare warriors.
-
Help in the recognition of coronavirus cases with radiography images.
Other technologies like Cloud computing, Blockchain , 5G network technology, Big data, and many more are playing a vital role during this epidemic time. In the current situation, a large amount of data are collected from various sources like applications used on smartphones, patient’s records from hospitals, and Government released data are stored on the cloud which helps to provide the updated information. To maintain social distancing, a number of activities are moved from physical to virtual platforms with the help of 5G network technology. 5G network technology provides the high bandwidth of the internet which helps to video conferencing, teleconferencing, and sharing of videos and images of huge size at very fast speed.
4 Challenges During Implementation of CI Technologies
CI technologies provide new inventions in the binary world. By using CI technologies, simulated expertize is to develop and design which is to some extent similar to the real-time situation. These technologies are given a number of applications in various domains that are used in daily work. But as usual, every coin has two sides, one side of CI technologies is very useful in every domain but on the other side, these technologies face several challenges during the implementation which highlight in Fig. 11.3. Some of them are listed as:
-
1.
Lack of Awareness : Generally users are not aware of the applications of CI technologies. The value of CI technologies is best understood when mass users adopted these technologies.
-
2.
Network Load: In some applications of CI technologies environment, data are streaming live over the internet with minimum local caching of frequently used data.
-
3.
Congestion in Communication: In CI technologies, communication can be occurring in between servers and the asset cluster and which causes congestion problems in communications.
-
4.
Cost: The initial cost to develop the CI technologies-based environment is so high. A large scale of people is not able to afford these technologies in their daily routine.
-
5.
Internet: The Internet is the main source to implement the CI technologies-based environment. So 5G internet bandwidth is required but still, 5G internet service is not fully implemented in most areas.
-
6.
Experience issue: Users are not skilled in how to use the applications based on CI technologies and sometimes users do not easily adopt the new technologies because of less experience.
-
7.
Security: Cybersecurity and data privacy are sensitive issues in the digital platform. Due to these reasons, some users are not using these technologies even do not try to adopt them.
-
8.
Powerful Computers : To use the CI technologies, the main necessity is powerful computer systems with a high power processor with high configuration and resolution.
5 Conclusion
COVID-19 pandemic is a public health emergency globally and has become the most challenging area for global researchers. Academic research helps to a proper understanding of COVID-19. Researchers are investigating each and every possible option to battle the COVID-19 pandemic and a new way is opened by the emerging technologies. Now technologies have become an important part of the life of people to execute their day-to-day activities and help to save a life. This chapter talks about the symptoms and preventions against the COVID-19. It also highlighted the emerging technologies used to fight COVID-19. IoT technology is used to integrate the medical equipment with the internet and provide remote treatment to the infected patients and many more technologies are highlighted. Emerging technologies like IoT, AI, Blockchain, 5G, and many more give complementary efforts to the world to fight against the COVID-19 and future pandemics.
References
Lalmuanawma, S., Hussain, J., & Chhakchhuak, L. (2020). Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review. Chaos, Solitons and Fractals, 139. https://doi.org/10.1016/j.chaos.2020.110059.
Montemurro, N. (2020). The emotional impact of COVID-19: From medical staff to common people. Brain, Behavior, and Immunity, 1591, 1–2. https://doi.org/10.1016/j.bbi.2020.03.032
Haleem, A., Javaid, M., Vaishya, R., & Deshmukh, S. G. (2020). Areas of academic research with the impact of COVID-19. The American Journal of Emergency Medicine, 38, 1524–1526. https://doi.org/10.1016/j.ajem.2020.04.022
Shaw, R., Kim, Y., & Hua, J. (2020). Governance, technology and citizen behavior in pandemic: Lessons from COVID-19 in East Asia. Progress in Disaster Science, 6, 100090. https://doi.org/10.1016/j.pdisas.2020.100090
Manjunath, B. S. (2020, April). Covid-19: 8 ways in which technology helps pandemic management. IT News, ET CIO.
Kumar, A., Gupta, P. K., & Srivastava, A. (2020). A review of modern technologies for tackling COVID-19 pandemic. Diabetes and Metabolic Syndrome: Clinical Research & Reviews, 14(4), 569–573. https://doi.org/10.1016/j.dsx.2020.05.008
Startus Insight. (2020). 8 ways emerging technologies tackle the global coronavirus pandemic.
Ransing, R., Nagendrappa, S., Patil, A., Shoib, S., & Sarkar, D. (2020). Potential role of artificial intelligence to address the COVID-19 outbreak-related mental health issues in India. Psychiatry Research, 290, 113176. https://doi.org/10.1016/j.psychres.2020.113176
Sipior, J. C. (2020). Considerations for development and use of AI in response to COVID-19. International Journal of Information Management, 55, 102170. https://doi.org/10.1016/j.ijinfomgt.2020.102170
Zhang, K., et al. (2020). Clinically applicable AI system for accurate diagnosis, quantitative measurements, and prognosis of COVID-19 pneumonia using computed tomography. Cell, 181(6), 1423–1433.e11. https://doi.org/10.1016/j.cell.2020.04.045
Mohanty, S., Harun, M., Rashid, A. I., Mridul, M., Mohanty, C., & Swayamsiddha, S. (2020). Application of artificial intelligence in COVID-19 drug repurposing. Diabetes and Metabolic Syndrome: Clinical Research & Reviews, 14(5), 1027–1031. https://doi.org/10.1016/j.dsx.2020.06.068
Albahri, O. S., et al. (2020). Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects. Journal of Infection and Public Health, 13, 1381–1396. https://doi.org/10.1016/j.jiph.2020.06.028
Park, Y., Casey, D., Joshi, I., Zhu, J., & Cheng, F. (2020). Emergence of new disease: How can artificial intelligence help? Trends in Molecular Medicine, 26(7), 6–8. https://doi.org/10.1016/j.molmed.2020.04.007
Ahuja, A. S., Reddy, V. P., & Marques, O. (2020). Artificial intelligence and COVID-19: A multidisciplinary approach. Integrative Medicine Research, 9(3), 100434. https://doi.org/10.1016/j.imr.2020.100434
Ke, Y. Y., et al. (2020). Artificial intelligence approach fighting COVID-19 with repurposing drugs. Biomedical Journal, 43(4), 355–362. https://doi.org/10.1016/j.bj.2020.05.001
Imran, A., et al. (2020). AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app. Informatics in Medicine Unlocked, 20, 100378. https://doi.org/10.1016/j.imu.2020.100378
Wang, B., Yang, Z., Xuan, J., & Jiao, K. (2020). Crises and opportunities in terms of energy and AI technologies during the COVID-19 pandemic. Energy AI, 1, 100013. https://doi.org/10.1016/j.egyai.2020.100013
Shi, F., et al. (2020). Review of artificial intelligence techniques in imaging data acquisition, segmentation and diagnosis for COVID-19. IEEE Reviews in Biomedical Engineering, 1–13. https://doi.org/10.1109/RBME.2020.2987975
Jamshidi, M., et al. (2020). Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment. IEEE Access, 8, 109581–109595. https://doi.org/10.1109/ACCESS.2020.3001973
Mei, X., et al. (2020). Artificial intelligence–enabled rapid diagnosis of patients with COVID-19. Nature Medicine, 26(8), 1224–1228. https://doi.org/10.1038/s41591-020-0931-3
Salman, F. M., Abu-Naser, S. S., Alajrami, E., Abu-Nasser, B. S., & Ashqar, B. A. M. (2020). COVID-19 detection using artificial intelligence. International Journal of Computer Engineering Research, 4(3), 18–25.
Vaishya, R., Javaid, M., Khan, I. H., & Haleem, A. (2020). Artificial intelligence (AI) applications for COVID-19 pandemic. Diabetes and Metabolic Syndrome: Clinical Research & Reviews, 14(4), 337–339. https://doi.org/10.1016/j.dsx.2020.04.012
Maghdid, H. S., Ghafoor, K. Z., Sadiq, A. S., Curran, K., & Rabie, K. (2020). A novel AI-enabled framework to diagnose coronavirus COVID 19 using smartphone embedded sensors: Design study (pp. 1–7).
Nguyen, T. T., Waurn, G., & Campus, P. (2020). Artificial intelligence in the battle against coronavirus ( COVID-19 ): A survey and future research directions. Researchgate.Net (pp. 1–13). https://doi.org/10.13140/RG.2.2.36491.23846.Artificial
Chamola, V., Hassija, V., Gupta, V., & Guizani, M. (2020). A comprehensive review of the COVID-19 pandemic and the role of IoT, drones, AI, blockchain, and 5G in managing its impact. IEEE Access, 8, 90225–90265. https://doi.org/10.1109/ACCESS.2020.2992341
Sohrabi, C., Alsafi, Z., Neill, N. O., Khan, M., & Kerwan, A. (2020, January). Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID- 19. The COVID-19 resource centre is hosted on Elsevier Connect, the company’s public news and information.
Barragán, D., & Manero, J. (2020). How big data and artificial intelligence can help against COVID-19 (pp. 4–11). IE Business School.
Pham, Q. V., Nguyen, D. C., Huynh-The, T., Hwang, W. J., & Pathirana, P. N. (2020). Artificial intelligence (AI) and big data for coronavirus (COVID-19) pandemic: A survey on the state-of-the-arts. IEEE Access, 8, 130820–130839. https://doi.org/10.1109/ACCESS.2020.3009328
Piccialli, F., Di, V., Giampaolo, F., & Cuomo, S. (2021). A survey on deep learning in medicine: Why, how and when? Information Fusion, 66, 111–137.
Wong, K. K. L., Fortino, G., & Abbott, D. (2020). Deep learning-based cardiovascular image diagnosis: A promising challenge. Future Generation Computer Systems, 110, 802–811. https://doi.org/10.1016/j.future.2019.09.047
Amini, A., Chen, W., Fortino, G., Li, Y., Pan, Y., & Wang, M. D. (2020). Editorial: Special issue on ‘AI-driven informatics, sensing, imaging and big data analytics for fighting the COVID-19 pandemic. IEEE Journal of Biomedical and Health Informatics, 24(10), 2731–2732. https://doi.org/10.1109/JBHI.2020.3025594
Singh, R. P., Javaid, M., Haleem, A., & Suman, R. (2020). Internet of things (IoT) applications to fight against COVID-19 pandemic. Diabetes and Metabolic Syndrome: Clinical Research & Reviews, 14(4), 521–524. https://doi.org/10.1016/j.dsx.2020.04.041
Rahman, A., Hossain, M. S., Alrajeh, N. A., & Alsolami, F. (2020). Adversarial examples – Security threats to COVID-19 deep learning Systems in Medical IoT devices. IEEE Internet of Things Journal, 1–1. https://doi.org/10.1109/jiot.2020.3013710
Oyeniyi, J., Ogundoyin, I., & Oyeniran, O. (2020, June). Application of internet of things (IoT) to enhance the fight against covid-19 application of internet of things (IoT) to enhance the fight against covid-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14, 521–524.
Alam, T. (2020). Coronavirus disease (Covid-19): Reviews, applications, and current status. SSRN Coronavirus & Infectious Disease Research eJournal. https://doi.org/10.2139/ssrn.3660497.
Yang, T., Gentile, M., Shen, C. F., & Cheng, C. M. (2020). Combining point-of-care diagnostics and internet of medical things (IOMT) to combat the Covid-19 pandemic. Diagnostics, 10(4), 4–6. https://doi.org/10.3390/diagnostics10040224
Rahman, M. S., Peeri, N. C., Shrestha, N., Zaki, R., Haque, U., & Hamid, S. H. A. (2020). Defending against the novel coronavirus (COVID-19) outbreak: How can the internet of things (IoT) help to save the world? Health Policy Technology, 9, 136–138. https://doi.org/10.1016/j.hlpt.2020.04.005
Swayamsiddha, S., & Mohanty, C. (2020). Application of cognitive internet of medical things for COVID-19 pandemic. Diabetes and Metabolic Syndrome: Clinical Research & Reviews, 14(5), 911–915. https://doi.org/10.1016/j.dsx.2020.06.014
Pratap, R., Javaid, M., Haleem, A., Vaishya, R., & Ali, S. (2020). Internet of medical things ( IoMT ) for orthopaedic in COVID-19 pandemic: Roles , challenges , and applications. Journal of Clinical Orthopaedics and Trauma, 11(4), 713–717. https://doi.org/10.1016/j.jcot.2020.05.011
Kamal, M., Aljohani, A., & Alanazi, E. (2020). IoT meets COVID-19: Status, challenges, and opportunities.
Tsikala Vafea, M., et al. (2020). Emerging technologies for use in the study, diagnosis, and treatment of patients with COVID-19. Cellular and Molecular Bioengineering, 13, 249–257. https://doi.org/10.1007/s12195-020-00629-w
Mohammed, M. N., Syamsudin, H., Al-Zubaidi, S., Sairah, A. K., Ramli, R., & Yusuf, E. (2020). Novel covid-19 detection and diagnosis system using iot-based smart helmet. International Journal of Psychosocial Rehabilitation, 24(7), 2296–2303. https://doi.org/10.37200/IJPR/V24I7/PR270221
Kumar, M. S., Raut, D. R. D., Narwane, D. V. S., & Narkhede, D. B. E. (2020). Applications of industry 4.0 to overcome the COVID-19 operational challenges. Diabetes and Metabolic Syndrome: Clinical Research & Reviews, 14(5), 1283–1289. https://doi.org/10.1016/j.dsx.2020.07.010
Otoom, M., Otoum, N., Alzubaidi, M. A., Etoom, Y., & Banihani, R. (2020). An IoT-based framework for early identification and monitoring of COVID-19 cases. Biomedical Signal Processing and Control, 62, 102149. https://doi.org/10.1016/j.bspc.2020.102149
Nasajpour, M., Pouriyeh, S., Parizi, R. M., Dorodchi, M., Valero, M., & Arabnia, H. R. (2020). Internet of things for current COVID-19 and future pandemics: An exploratory study. Journal of Healthcare Informatics Research, 4, 325–364.
Prabhu, J., et al. (2020). IoT role in prevention of COVID-19 and health care workforces behavioural intention in India - an empirical examination. International Journal of Pervasive Computing and Communications, 16(4), 331–340. https://doi.org/10.1108/IJPCC-06-2020-0056
Haleem, A., Javaid, M., Khan, I. H., & Vaishya, R. (2020). Significant applications of big data in COVID-19 pandemic. The Indian Journal of Orthopaedics, 54(4), 526–528. https://doi.org/10.1007/s43465-020-00129-z
Vaishya, R., Haleem, A., Vaish, A., & Javaid, M. (2020). Emerging technologies to combat the COVID-19 pandemic. Journal of Clinical and Experimental Hepatology, 10(4), 409–411. https://doi.org/10.1016/j.jceh.2020.04.019
Chang, M. C., & Park, D. (2020). How can blockchain help people in the event of pandemics such as the COVID-19? Journal of Medical Systems, 44(5), 102. https://doi.org/10.1007/s10916-020-01577-8
Mashamba-Thompson, T. P., & Crayton, E. D. (2020). Blockchain and artificial intelligence technology for novel coronavirus disease-19 self-testing. Diagnostics, 10(4), 8–11. https://doi.org/10.3390/diagnostics10040198
Kumar, R., et al. (2020). Blockchain-federated-learning and deep learning models for COVID-19 detection using CT imaging. 14(8), 1–12.
Bansal, A., Garg, C., & Padappayil, R. P. (2020). Optimizing the implementation of COVID-19 ‘immunity certificates’ using Blockchain. Journal of Medical Systems, 44(9), 19–20. https://doi.org/10.1007/s10916-020-01616-4
Nguyen, D. C., Ding, M., Pathirana, P. N., & Seneviratne, A.. (2020). Blockchain and AI-based solutions to combat coronavirus (COVID-19)-like epidemics: A survey (pp. 1–15).
Song, J., Gu, T., Feng, X., Ge, Y., & Mohapatra, P. (2020). Blockchain meets COVID-19: A framework for contact information sharing and risk notification system.
Kalla, A., Hewa, T., Mishra, R. A., Ylianttila, M., & Liyanage, M. (2020). The role of blockchain to fight against COVID-19. IEEE Engineering Management Review, 48, 85–96. https://doi.org/10.1109/EMR.2020.3014052
Alam, T. (2020). Internet of things and blockchain-based framework for coronavirus (COVID-19) disease. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3660503.
Dai, H.-N., Imran, M., & Haider, N. (2020). Blockchain-enabled internet of medical things to combat COVID-19. IEEE Internet of Things Magazine, 3, 52–57.
Xu, H., Zhang, L., Onireti, O., Fang. Y., Buchanan, W. B., & Imran, M. A. (2020). BeepTrace: Blockchain-enabled privacy-preserving contact tracing for COVID-19 pandemic and beyond (pp. 1–13). https://doi.org/10.13140/RG.2.2.25101.15849/1.
Javaid, M., Haleem, A., Vaishya, R., Bahl, S., Suman, R., & Vaish, A. (2020). Industry 4.0 technologies and their applications in fighting COVID-19 pandemic. Diabetes and Metabolic Syndrome: Clinical Research & Reviews, 14(4), 419–422. https://doi.org/10.1016/j.dsx.2020.04.032
Whitelaw, S., Mamas, M. A., Topol, E., & Van Spall, H. G. C. (2020). Applications of digital technology in COVID-19 pandemic planning and response. Lancet Digital Health, 2(8), e435–e440. https://doi.org/10.1016/S2589-7500(20)30142-4
Kumar, P. (2020, June). Literature based study on cloud computing for health and sustainability in view of covid19. Core.Ac.Uk.
Ye, J. (2020). The role of health technology and informatics in global public health emergency: Practices and implications from the COVID-19 pandemic (preprint). JMIR Medical Informatics, 8, e19866. https://doi.org/10.2196/19866
Vidal-Alaball, J., et al. (2020). Telemedicine in the face of the COVID-19 pandemic. Atencion Primaria, 52(6), 418–422. https://doi.org/10.1016/j.aprim.2020.04.003
Iyengar, K., Upadhyaya, G. K., Vaishya, R., & Jain, V. (2020). COVID-19 and applications of smartphone technology in the current pandemic. Diabetes and Metabolic Syndrome: Clinical Research & Reviews, 14(5), 733–737. https://doi.org/10.1016/j.dsx.2020.05.033
Lalmuanawma, S., Hussain, J., & Chhakchhuak, L. (2020). Applications of Machine Learning and Artificial Intelligence for Covid-19 (SARS-CoV-2) pandemic: A review. Chaos, Solitons Fractals, 139, 110059. https://doi.org/10.1016/j.chaos.2020.110059
Chowdhury, M. A., Shah, Q. Z., Kashem, M. A., Shahid, A., & Akhtar, N. (2020). Evaluation of the effect of environmental parameters on the spread of COVID-19: A fuzzy logic approach. Advances in Fuzzy Systems, 2020.
Wang, L., Lin, Z. Q., & Wong, A. (2020). COVID-Net: A tailored deep convolutional neural network design for detection of COVID-19 cases from chest x-ray images. Scientific Reports, 1–12.
Khan, A. I., Shah, J. L., & Bhat, M. M. (2020). CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images. Computer Methods and Programs in Biomedicine, 196, 105581. https://doi.org/10.1016/j.cmpb.2020.105581
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Rana, A., Malik, S. (2021). A Review of Computational Intelligence Technologies for Tackling Covid-19 Pandemic. In: Siarry, P., Jabbar, M., Aluvalu, R., Abraham, A., Madureira, A. (eds) The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-75220-0_11
Download citation
DOI: https://doi.org/10.1007/978-3-030-75220-0_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-75219-4
Online ISBN: 978-3-030-75220-0
eBook Packages: Computer ScienceComputer Science (R0)