IoT-to-the-Rescue: A Survey of IoT Solutions for COVID-19-Like Pandemics

The atmospheric buoyancy and intangible nature of fatal communicable viruses lead to rapid transmissions among individuals, resulting in global pandemics. Strategic lockdowns and mandatory social distancing are immediate solutions in such scenarios. However, this leads to operational disruptions in education, manufacturing, economy, transportation, governance, and community. Although technological assistance is beneficial in overcoming such issues, the current Internet of Things (IoT) infrastructure has limitations. In this article, we provide a comprehensive review of the possible IoT-based solutions that have the capacity of combating the COVID-19-like viruses. We highlight the societal impacts due to pandemics and identify the specific lacunae in current IoT solutions. We also provide comprehensive detail on how to overcome the challenges along with directions toward the possible technological trends for future research. Compared to existing reviews, our work offers a holistic view of the cause, effects, and the possible solutions that are existing, along with already existing solutions that can be customized to serve the special needs during the pandemic.

[1]  Gerhard P. Hancke,et al.  IoT in the Wake of COVID-19: A Survey on Contributions, Challenges and Evolution , 2020, IEEE Access.

[2]  Peter Lucas,et al.  Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing? , 2020, ArXiv.

[3]  J. Aw,et al.  The non-contact handheld cutaneous infra-red thermometer for fever screening during the COVID-19 global emergency , 2020, Journal of Hospital Infection.

[4]  Seyedamin Pouriyeh,et al.  Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study , 2020, J. Heal. Informatics Res..

[5]  C. Hom Public Transportation in a Post‐COVID‐19 Microbial World , 2020, SSRN Electronic Journal.

[6]  Ajnesh Prasad,et al.  The impossibility of social distancing among the urban poor: the case of an Indian slum in the times of COVID-19 , 2020 .

[7]  Mohammad S. Obaidat,et al.  On Theoretical Modeling of Sensor Cloud: A Paradigm Shift From Wireless Sensor Network , 2017, IEEE Systems Journal.

[8]  C. Daughton Wastewater surveillance for population-wide Covid-19: The present and future , 2020, Science of The Total Environment.

[9]  Sudip Misra,et al.  Theoretical modelling of fog computing: a green computing paradigm to support IoT applications , 2016, IET Networks.

[10]  D. Ivanov Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case , 2020, Transportation Research Part E: Logistics and Transportation Review.

[11]  J. Henckel,et al.  COVID-19 coronavirus: recommended personal protective equipment for the orthopaedic and trauma surgeon , 2020, Knee Surgery, Sports Traumatology, Arthroscopy.

[12]  A. Karn,et al.  Design and Development of an Automated Monitored Hand Hygiene System to Curb Infection Spread in Institutional Settings during COVID-19 Pandemic , 2020 .

[13]  P. Perrin,et al.  COVID‐19 and telemedicine: A revolution in healthcare delivery is at hand , 2020, Health science reports.

[14]  Ahad Ali,et al.  Secure IoT Communication Systems for Prediction of COVID-19 Outbreak: An Optimal Signal Processing Algorithm , 2020, 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT).

[15]  Mohammad Khairul Azhar Abdul Razab,et al.  A Single Mass Gathering Resulted in Massive Transmission of COVID-19 Infections in Malaysia with Further International Spread , 2020, Journal of travel medicine.

[16]  Parikshit N. Mahalle,et al.  Data Analytics: COVID-19 Prediction Using Multimodal Data , 2020, Intelligent Systems and Methods to Combat Covid-19.

[17]  Farnoosh Naderkhani,et al.  COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images , 2020, Pattern Recognition Letters.

[18]  Daeui Park,et al.  Rapid Detection of COVID-19 Causative Virus (SARS-CoV-2) in Human Nasopharyngeal Swab Specimens Using Field-Effect Transistor-Based Biosensor , 2020, ACS nano.

[19]  Ben Jones The bigger picture for e-health. , 2012, Bulletin of the World Health Organization.

[20]  N. Rezaei,et al.  COVID-19 and telemedicine: Immediate action required for maintaining healthcare providers well-being , 2020, Journal of Clinical Virology.

[21]  Yu-Dong Yao,et al.  IoT Platform for COVID-19 Prevention and Control: A Survey , 2020, IEEE Access.

[22]  Z. Memish,et al.  COVID-19 – the role of mass gatherings , 2020, Travel Medicine and Infectious Disease.

[23]  Samrat Kumar Dey,et al.  Analyzing the epidemiological outbreak of COVID‐19: A visual exploratory data analysis approach , 2020, Journal of medical virology.

[24]  Anandarup Mukherjee,et al.  Reconfigure and Reuse: Interoperable Wearables for Healthcare IoT , 2020, IEEE INFOCOM 2020 - IEEE Conference on Computer Communications.

[25]  Fadi Al-Turjman,et al.  IoT-Based Humanoid Software for Identification and Diagnosis of Covid-19 Suspects , 2020, IEEE Sensors Journal.

[26]  M. Javaid,et al.  Artificial Intelligence (AI) applications for COVID-19 pandemic , 2020, Diabetes & Metabolic Syndrome: Clinical Research & Reviews.

[27]  Yuan Zhang,et al.  Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: a systematic review and meta-analysis , 2020, The Lancet.

[28]  Sindy K. Y. Tang,et al.  Fomite transmission and disinfection strategies for SARS-CoV-2 and related viruses , 2020, 2005.11443.

[29]  M. C. Lucas-Estañ,et al.  Mode Selection for 5G Heterogeneous and Opportunistic Networks , 2019, IEEE Access.

[30]  Can Dincer,et al.  The impact of biosensing in a pandemic outbreak: COVID-19 , 2020, Biosensors and Bioelectronics.

[31]  K. To,et al.  Olfactory Dysfunction in Coronavirus Disease 2019 Patients: Observational Cohort Study and Systematic Review , 2020, Open forum infectious diseases.

[32]  Miad Faezipour,et al.  Smartphone-Based Self-Testing of COVID-19 Using Breathing Sounds. , 2020, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[33]  Anil Kumar A Perspective on India’s Fight against COVID - 19 , 2020, Epidemiology International.

[34]  Amit Kumar,et al.  AI and IoT Solutions for Tackling COVID-19 Pandemic , 2020, 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA).

[35]  Shoko Wakamiya,et al.  Syndromic surveillance using search query logs and user location information from smartphones against COVID-19 clusters in Japan , 2020, ArXiv.

[36]  F. Prinzen,et al.  Surveillance of COVID-19 in the General Population Using an Online Questionnaire: Report From 18,161 Respondents in China , 2020, JMIR public health and surveillance.

[37]  Mohsen Guizani,et al.  A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact , 2020, IEEE Access.

[38]  Alex Dubov,et al.  The Value and Ethics of Using Technology to Contain the COVID-19 Epidemic , 2020, The American journal of bioethics : AJOB.

[39]  R. Suman,et al.  Internet of things (IoT) applications to fight against COVID-19 pandemic , 2020, Diabetes & Metabolic Syndrome: Clinical Research & Reviews.

[40]  Mamun Bin Ibne Reaz,et al.  Can AI Help in Screening Viral and COVID-19 Pneumonia? , 2020, IEEE Access.

[41]  Umut Ozkaya,et al.  Coronavirus (Covid-19) Classification Using CT Images by Machine Learning Methods , 2020, RTA-CSIT.

[42]  J. Rocklöv,et al.  High population densities catalyze the spread of COVID-19 , 2020, Journal of travel medicine.

[43]  M. Loeb,et al.  Medical masks vs N95 respirators for preventing COVID‐19 in healthcare workers: A systematic review and meta‐analysis of randomized trials , 2020, Influenza and other respiratory viruses.

[44]  Lihui Wang,et al.  A literature survey of the robotic technologies during the COVID-19 pandemic , 2021, Journal of Manufacturing Systems.

[45]  R. Brook,et al.  Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing. , 2020, JAMA.

[46]  'Alvaro Gonz'alez Garc'ia,et al.  Crowd Control in Plazas Constrained to Social Distancing , 2020 .

[47]  Ezz El-Din Hemdan,et al.  COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images , 2020, ArXiv.

[48]  Bonnie Arquilla,et al.  Novel Coronavirus (COVID-19): Leveraging Telemedicine to Optimize Care While Minimizing Exposures and Viral Transmission , 2020, Journal of emergencies, trauma, and shock.

[49]  K. Tao,et al.  The characteristics of household transmission of COVID-19 , 2020, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[50]  Mithileysh Sathiyanarayanan,et al.  Opportunities of Adopting AI-Powered Robotics to Tackle COVID-19 , 2021, 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS).

[51]  Lawrence Carin,et al.  Digital technology and COVID-19 , 2020, Nature Medicine.

[52]  D. S. Jat,et al.  Artificial Intelligence-Enabled Robotic Drones for COVID-19 Outbreak , 2020 .

[53]  Luca Zanotto,et al.  Proximity: a recipe to break the outbreak , 2020, ArXiv.

[54]  Ioannis D. Apostolopoulos,et al.  Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks , 2020, Physical and Engineering Sciences in Medicine.

[55]  M. Mckee,et al.  Transmission of SARS-CoV-2 and Other Infections at Large Sports Gatherings: A Surprising Gap in Our Knowledge , 2020, Frontiers in Medicine.

[56]  Shelly L. Miller,et al.  How can airborne transmission of COVID-19 indoors be minimised? , 2020, Environment International.

[57]  Yung-Chih Wang,et al.  Point-of-Care RNA-Based Diagnostic Device for COVID-19 , 2020, Diagnostics.

[58]  U. Rajendra Acharya,et al.  Automated detection of COVID-19 cases using deep neural networks with X-ray images , 2020, Computers in Biology and Medicine.

[59]  Luis A. Mateos,et al.  Robots Under COVID-19 Pandemic: A Comprehensive Survey , 2020, IEEE Access.

[60]  D. Laporte,et al.  How We Do It: Modified Residency Programming and Adoption of Remote Didactic Curriculum During the COVID-19 Pandemic , 2020, Journal of Surgical Education.

[61]  Georgios Magklaras,et al.  A review of information security aspects of the emerging COVID-19 contact tracing mobile phone applications , 2020, HAISA.

[62]  Zhilian Huang,et al.  Use of a Real-Time Locating System for Contact Tracing of Health Care Workers During the COVID-19 Pandemic at an Infectious Disease Center in Singapore: Validation Study , 2020, Journal of Medical Internet Research.

[63]  Centaine L Snoswell,et al.  Telehealth for global emergencies: Implications for coronavirus disease 2019 (COVID-19) , 2020, Journal of telemedicine and telecare.

[64]  Y. Xia Workforce Survival: Tracking Potential COVID-19 Exposure Amid Socioeconomic Activities Using Automatic Log-Keeping Apps , 2020, Population health management.

[65]  J. Portnoy,et al.  Telemedicine in the Era of COVID-19 , 2020, The Journal of Allergy and Clinical Immunology: In Practice.

[66]  Anandarup Mukherjee,et al.  HeDI: Healthcare Device Interoperability for IoT-Based e-Health Platforms , 2021, IEEE Internet of Things Journal.

[67]  Ian R. Hodgkinson,et al.  New development: ‘Healing at a distance’—telemedicine and COVID-19 , 2020 .

[68]  Abbas Jamalipour,et al.  SkopEdge: A Traffic-Aware Edge-Based Remote Auscultation Monitor , 2020, ICC 2020 - 2020 IEEE International Conference on Communications (ICC).

[69]  P. Klepac,et al.  Early dynamics of transmission and control of COVID-19: a mathematical modelling study , 2020, The Lancet Infectious Diseases.

[70]  M. Shamim Hossain,et al.  Explainable AI and Mass Surveillance System-Based Healthcare Framework to Combat COVID-I9 Like Pandemics , 2020, IEEE Network.

[71]  Kayhan Zrar Ghafoor,et al.  A Smartphone Enabled Approach to Manage COVID-19 Lockdown and Economic Crisis , 2020, SN Computer Science.

[72]  R. Kitchin,et al.  Civil liberties or public health, or civil liberties and public health? Using surveillance technologies to tackle the spread of COVID-19 , 2020, Space and Polity.

[73]  Md Tahmid Rashid,et al.  CovidSens: a vision on reliable social sensing for COVID-19 , 2020, Artificial Intelligence Review.

[74]  Yao Liu,et al.  Joint Incentive and Resource Allocation Design for User Provided Network Under 5G Integrated Access and Backhaul Networks , 2020, IEEE Transactions on Network Science and Engineering.

[75]  Sukhpal Singh Gill,et al.  A drone-based networked system and methods for combating coronavirus disease (COVID-19) pandemic , 2020, Future Generation Computer Systems.

[76]  Carmela Troncoso,et al.  Decentralized Privacy-Preserving Proximity Tracing , 2020, IEEE Data Eng. Bull..

[77]  Anandarup Mukherjee,et al.  S-Nav: Safety-Aware IoT Navigation Tool for Avoiding COVID-19 Hotspots , 2020, IEEE Internet of Things Journal.

[78]  M. N. Mohammed,et al.  Novel covid-19 detection and diagnosis system using iot based smart helmet , 2020 .

[79]  Dinggang Shen,et al.  Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19 , 2020, IEEE Reviews in Biomedical Engineering.

[80]  N. Punn,et al.  Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques , 2020, ArXiv.

[81]  Bonggun Shin,et al.  Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model , 2020, Computational and Structural Biotechnology Journal.

[82]  M. Prakash Eat, Pray, Work: A meta-analysis of COVID-19 Transmission Risk in Common Activities of Work and Leisure , 2020, medRxiv.

[83]  R. Suman,et al.  Sustainability of Coronavirus on Different Surfaces , 2020, Journal of Clinical and Experimental Hepatology.

[84]  C. King,et al.  Interrupting COVID-19 transmission by implementing enhanced traffic control bundling: Implications for global prevention and control efforts , 2020, Journal of Microbiology, Immunology and Infection.

[85]  Chih-Hung Cheng,et al.  Active surveillance for suspected COVID-19 cases in inpatients with information technology , 2020, Journal of Hospital Infection.

[86]  Ye Xia,et al.  How to Return to Normalcy: Fast and Comprehensive Contact Tracing of COVID-19 through Proximity Sensing Using Mobile Devices , 2020, ArXiv.

[87]  Z. Allam,et al.  On the Coronavirus (COVID-19) Outbreak and the Smart City Network: Universal Data Sharing Standards Coupled with Artificial Intelligence (AI) to Benefit Urban Health Monitoring and Management , 2020, Healthcare.

[88]  Athanasios V. Vasilakos,et al.  The Future of Healthcare Internet of Things: A Survey of Emerging Technologies , 2020, IEEE Communications Surveys & Tutorials.

[89]  A. Wilder-Smith,et al.  Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak , 2020, Journal of travel medicine.

[90]  Nishat Tasnim Newaz,et al.  IoT Based Low-Cost Robotic Agent Design for Disabled and Covid-19 Virus Affected People , 2020, 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4).

[91]  Xiangming Meng,et al.  Smartphone-enabled wireless otoscope-assisted online telemedicine during the COVID-19 outbreak , 2020, American Journal of Otolaryngology.

[92]  Shiv Lal Soni,et al.  Real-Time Smart Patient Monitoring and Assessment Amid COVID-19 Pandemic – an Alternative Approach to Remote Monitoring , 2020, Journal of Medical Systems.

[93]  R. Ohannessian,et al.  Global Telemedicine Implementation and Integration Within Health Systems to Fight the COVID-19 Pandemic: A Call to Action , 2020, JMIR public health and surveillance.

[94]  Michael Holland,et al.  COVID-19 Personal Protective Equipment (PPE) for the emergency physician , 2020, Visual Journal of Emergency Medicine.

[95]  J. Linder,et al.  Rapid Implementation of an Outpatient Covid-19 Monitoring Program , 2020, Nejm Catalyst Innovations in Care Delivery.

[96]  Wim Naudé,et al.  Artificial intelligence vs COVID-19: limitations, constraints and pitfalls , 2020, AI & SOCIETY.

[97]  Anders Wolff,et al.  2019 Novel Coronavirus Disease (COVID-19): Paving the Road for Rapid Detection and Point-of-Care Diagnostics , 2020, Micromachines.

[98]  D. Jakhar,et al.  WhatsApp messenger as a teledermatology tool during coronavirus disease (COVID‐19): from bedside to phone‐side , 2020, Clinical and experimental dermatology.

[99]  Prateek Khandelwal,et al.  Using Computer Vision to enhance Safety of Workforce in Manufacturing in a Post COVID World , 2020, ArXiv.

[100]  Juan-Carlos Cano,et al.  Evaluating How Smartphone Contact Tracing Technology Can Reduce the Spread of Infectious Diseases: The Case of COVID-19 , 2020, IEEE Access.

[101]  Isabel J. Raabe,et al.  Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world , 2020, Nature Human Behaviour.

[102]  M. Jorge Cardoso,et al.  Real-time tracking of self-reported symptoms to predict potential COVID-19 , 2020, Nature Medicine.

[103]  Nandini Nayar,et al.  Application of IoT in Current Pandemic of COVID-19 , 2021 .

[104]  O. Nov,et al.  COVID-19 transforms health care through telemedicine: Evidence from the field , 2020, J. Am. Medical Informatics Assoc..