As all the industries are growing up with the Internet of Things (IoT). It is the major area of concern nowadays. It plays a vital role in all the major sectors of the world like Economics, Medical Science, Defense Systems, social media, and other prospects to communicate with the people. In current situations which are being faced by the whole world due to the pandemic, IoT is playing a vital role. In the case of COVID-19, IoT-based technologies are being used for monitoring patients to maintain the protocols, different web applications are used for communicating with people and helping them to provide solutions for various problems being faced during quarantine times. Besides IoT, various web services are also playing a vital role in fighting these current situations and other future problems. Various web services are currently being used for the collection of data to find out specific information in a limited region or throughout the whole. These web services also work as a mediator between two different sources. It also helps to communicate with people in large numbers. IoT and web services are complementary to each other. Chemical science also plays important role in covid-19. It helps us in detection, prevention as well as recovery of covid patients.
Smart Grid Using Internet of Things | IGI Global.” https://www.igi-global.com/gateway/chapter/279486 (accessed Nov. 11, 2021).
A novel IoT sensor authentication using HaLo extraction method and memory chip variability | SpringerLink.” https://link.springer.com/article/10.1007/s43926-021-00019-2 (accessed Nov. 11, 2021).
S. P. Dash, “The Impact of IoT in Healthcare: Global Technological Change & The Roadmap to a Networked Architecture in India,” J. Indian Inst. Sci., vol. 100, no. 4, pp. 773–785, Oct. 2020, doi: 10.1007/s41745-020-00208-y.
J. Cama, “To Push or To Pull? In a Post-COVID World, Supporting and Incentivizing Antimicrobial Drug Development Must Become a Governmental Priority,” ACS Infect. Dis., vol. 7, no. 8, pp. 2029–2042, Aug. 2021, doi: 10.1021/acsinfecdis.0c00681.
 Frontiers | COVID-19 and Acute Coronary Syndromes: Current Data and Future Implications | Cardiovascular Medicine.
F. Boccara et al., “Acute coronary syndrome in human immunodeficiency virus-infected patients: characteristics and 1 year prognosis,” Eur. Heart J., vol. 32, no. 1, pp. 41–50, Jan. 2011, doi: 10.1093/eurheartj/ehq372.
Q. Zhang et al., “Entry Dynamics of Single Ebola Virus Revealed by Force Tracing,” ACS Nano, vol. 14, no. 6, pp. 7046–7054, Jun. 2020, doi: 10.1021/acsnano.0c01739.
Q. Li., “Single-Particle Tracking of Human Immunodeficiency Virus Type 1 Productive Entry into Human Primary Macrophages,” ACS Nano, vol. 11, no. 4, pp. 3890–3903, Apr. 2017, doi: 10.1021/acsnano.7b00275.
K. Meier, S. R. Thorkelsson, E. R. J. Quemin, and M. Rosenthal, “Hantavirus Replication Cycle—An Updated Structural Virology Perspective,” Viruses, vol. 13, no. 8, Art. no. 8, Aug. 2021, doi: 10.3390/v13081561.
T. Pillaiyar, M. Manickam, V. Namasivayam, Y. Hayashi, and S.-H. Jung, “An Overview of Severe Acute Respiratory Syndrome–Coronavirus (SARS-CoV) 3CL Protease Inhibitors: Peptidomimetics and Small Molecule Chemotherapy,” J. Med. Chem., vol. 59, no. 14, pp. 6595–6628, Jul. 2016, doi: 10.1021/acs.jmedchem.5b01461.
S. K. Udgata and N. K. Suryadevara, “IoT and Sensor Network,” in Internet of Things and Sensor Network for COVID-19, S. K. Udgata and N. K. Suryadevara, Eds. Singapore: Springer, 2021, pp. 19–37. doi: 10.1007/978-981-15-7654-6_2.
Convergence model of AI and IoT for virus disease control system |
S. Sareen, S. K. Sood, and S. K. Gupta, “IoT-based cloud framework to control Ebola virus outbreak,” J. Ambient Intell. Humaniz. Comput., vol. 9, no. 3, pp. 459–476, Jun. 2018, doi: 10.1007/s12652-016-0427-7.
S. Sim and M. Cho, “Convergence model of AI and IoT for virus disease control system,” Pers. Ubiquitous Comput., pp. 1–11, Jun. 2021, doi: 10.1007/s00779-021-01577-6.
R. Mukherjee et al., “IoT-cloud based healthcare model for COVID-19 detection: an enhanced k-Nearest Neighbour classifier based approach,” Computing, pp. 1–21, Apr. 2021, doi: 10.1007/s00607-021-00951-9.
T. A. Ahanger, U. Tariq, M. Nusir, A. Aldaej, I. Ullah, and A. Sulman, “A novel IoT–fog–cloud-based healthcare system for monitoring and predicting COVID-19 outspread,” J. Supercomput., Jun. 2021, doi: 10.1007/s11227-021-03935-w.
Enabled IoT Applications for Covid-19 | springerprofessional.de.” https://www.springerprofessional.de/en/enabled-iot-applications-for-covid-19/19127610 (accessed Nov. 11, 2021).
S. Siddiqui, M. Z. Shakir, A. A. Khan, and I. Dey, “Internet of Things (IoT) Enabled Architecture for Social Distancing During Pandemic,” Front. Commun. Netw., vol. 2, p. 6, 2021, doi: 10.3389/frcmn.2021.614166.
S. V. Subramanian and A. Kumar, “Increases in COVID-19 are unrelated to levels of vaccination across 68 countries and 2947 counties in the United States,” Eur. J. Epidemiol., Sep. 2021, doi: 10.1007/s10654-021-00808-7.