| Literature DB >> 35692256 |
K P Paranitharan1, G Ebenezer2, Venkataraman Balaji1, M Adham Khan2, T Ramesh Babu3.
Abstract
The pandemic of Covid-19, an epidemic outbreak created many challenges and increased the demand for medical equipments, medicines, and related accessories and most of them had to be imported from abroad. The advanced information technology (Industry 4.0) was considered imperative to track and monitor the spread of the SARS-2 Virus that is Covid-19. A detailed review of literature is done to understand the challenges and the remedial action taken so far during the Covid-19 epidemic outbreak had been gone through using appropriate search engines and databases like Google-search, Science Direct, Scopus, Research Gate, and relevant blogs. The case reports were also considered in this study. We have found ten significant challenges (barriers) and identified several useful technology of industry 4.0 to control and manage the Covid-19 pandemic. This research paper is an attempt to examine and discuss the application of 4.0 technologies in containing the pandemic outbreak. Ten challenges were identified and those could be overcome by promptly applying appropriate technologies of industry 4.0 to control the spread of virus. These technologies help to educate and communicate the public and make them aware of the hazardous attack of Covid-19 virus when properly used.Entities:
Keywords: Covid-19; Epidemic; Healthcare; IOT; Industry 4.0; Pandemic
Year: 2022 PMID: 35692256 PMCID: PMC9167917 DOI: 10.1016/j.matpr.2022.06.009
Source DB: PubMed Journal: Mater Today Proc ISSN: 2214-7853
List of Challenges and its components reported during Epidemic and Pandemic.
| Sl.No | ||
|---|---|---|
| 1 | Lack of flexibility (C1) | Delay in health care delivery, Increased throughput time, slow response of disease test result |
| 2 | Lack of social control (C2) | Poor knowledge on self-hygiene among people, Poor adherence to SOPs issued by government, Misleading information by social media, guidelines of disease spread, co-ordination and intervention, Country’s Population, Cultural sensitivity and tradition. |
| 3 | Lack of disease forecasting & Surveillance (C3) | Health data points, government policy, Poor transparency in documenting and sharing the pandemic data to alert public about the consequence and rate of increase about spread, Number of emergency department visit, Daily Admission and Attendance. |
| 4 | Lack of government support (C4) | Incentives (to frontline workers and clinical staff and doctors), cost-sharing treaty, monetary support to public, economical status. |
| 5 | Lack of communication (C5) | Miscommunication between central, state governments and local bodies, Information exchange between organization and government bodies, Guidelines for infection spread, |
| 6 | Lack of Disease Diagnosis & treatment (C6) | Clinical symptoms, complexity & education on disease management, Preparedness to face pandemic situation by the world. |
| 7 | Lack of supply chain (C7) | Reduction in supply, increase in demand, discovery of drugs & delay in supply, on time delivery of products and medicine |
| 8 | Lack of infrastructure (C8) | Testing centres, Non-flexible storage, capacity constraints of beds and medical equipment, preventing fatality due to disease, (Inadequate training to Health experts/professionals on how to deal with pandemic situation and taking precautionary measures) |
| 9 | Shortage of man power (C9) | Doctors and medical worker shortage, giving treatment at appropriate time, preventing death due to disease (and other comorbidities) |
| 10 | Patient tracking (C10) | Ethical & privacy concern, safety, Avoid Spread of Disease, Population group (Age),. Inadequate data on geriatric persons and persons with disabilities and & Location. |
Fig. 1Proposed road Map for implementation of Industry 4.0 technology for COVID-19 Challenge.
Challenges faced in the medical field during the pandemic outbreak and the technologies to overcome the challenges.
| S.No | |||
|---|---|---|---|
| 1 | IOT & AI | IOT is an automated sensor based technology with the components for data collection, storage and processing of data. Moreover, by using the AI algorithms the data are analysed and patterns are studied to arrive at an inference. | IOT integrated to physical devices to track the health status diagnose Covid’19 earlier Smart helmet-mounted thermal imaging system identifying infected among the crowd |
| 2 | 5G/4G Wireless Technology, Robots & Drones | Telecommunication network has been used widely in our daily lives in numerous ways with vast number successful stories. Throughout the world the number of people benefited by the telecommunication and mobile technology enabled with internet is tremendously increasing. Telecommunication technology based applications are providing versatile services in various domains such as health care, education and disaster management. Now, telecommunication technology has contributing vast services to humankind in facing and dealing with COVID’19 pandemic. | Drone based COVID-19 health and respiratory platform is used in Australia for monitoring the detection of infectious and health conditions like monitoring temperatures, heart and respiratory rates Indian Robotic Solution used to collect and share the data’s using secure tunnel with hospital and government Drones are used to alarming the people if the inter-personnel distance become less and without mask |
| 3 | Artificial Intelligence, Machine learning, Deep learning | AI techniques are widely used in numerous applications in our day to day life. Artificial Intelligence (AI) is defined as booming and successful technology with wider applications such as Industry automation, cyber security, Tele –medicine, Disease diagnosis and treatment. Artificial Intelligence (AI) holds two major approaches namely Machine Learning (ML) and Deep Learning (DL). Thus AI along with Machine Learning (ML) and Deep Learning (DL) in general defined to be the process to training and learning the extract pattern from the available data. | AI plays a vital and powerful tool to in the battle against fight of COVID- 19 pandemic in the domain of medical image data processing, data mining, and text mining data analytics in the direction to address the difficulties such as disease diagnosis, prevent spread of virus and treatment |
| 4 | Big Data | Big data is a digital technology to store massive amount of data, it includes technology to process those stored data and infer a decision on the processed data. | The AI with big data is considered as powerful and versatile tool to handle the current global deadly health issue |
| 5 | Wearable Sensor & Telemedicine | Wearable device play a predominant role in detecting the disease infected person by considering the clinical symptoms, to enhance the remote testing and to prevent the spread of the disease. | Wearable sensors and devices are used in health care system with an objective for periodic monitoring of the patient to keep in track of the health condition of the person and for the remote diagnosis of COVID −19 and other pandemic disease |
| 6 | Block Chain & Cloud Computing | Blockchain and IOT technologies are integrated for providing data security, speed and Qos in health data point. | The integration of Block chain technology with IOT, Cloud computing helps in fast decision making to process large data when drone device of scarcity of resource is limited Digital application like ZOOM video, Microsoft Azure and google cloud are helpful in fight against COVID-19 pandemic at the time of social isolation |
| 7 | Virtual Reality | Virtual reality is a digital technology that provides a simulated experience those benefits of great comfort, creativity and productivity. | Virtual reality technology offer a great option of video calls for communicating and collaboration. It reduces travel cost, absents and lowers the impact of environment in the time of Covid-19 disease |
| 8 | 3D Printing & Scanning | 3D printing and scanning is used to convert CAD digital data to physical part and vice versa. 3D printing is used to manufacture the physical product at faster rate. 3D scanning output is used to analysis of real world object for collecting about its shape and appearance. | 3D scanning is a non-contact technique which helps the thoracic chest scanning for Covid-19 virus The integration of 3D Scanning and virtual reality is a used full tool offer higher efficiency during pandemic |
| 9 | Biosensor | Biosensor is a device used to convert biological signals to electrical signals. This technology of biosensor is entirely new to market and it is effectively used in an environment of multi-patient hospital when it connected to wireless device. | Biosensor IOT enabled patches are used to monitor temperature, ECG trace, respiration rate in real time environment of Covid-19 pandemic Glucose monitors biosensor which used for clinical diagnosis and disease treatment of diabetics during Covid-19 crisis |
| 10 | Holography | Holography is 3D device to view with changing perspective. it helps to reconstruct the object accurately with original object using hologram. | The digital technology of holography helps in reducing the exposure of COVID-19 to the peoples. This technology is become rapidly acceptable in COVID-19 outbreak |