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4th International Conference on Communication Systems, Computing and IT Applications, CSCITA 2023 ; : 219-224, 2023.
Article in English | Scopus | ID: covidwho-2322768


The COVID-19 pandemic highlighted a major flaw in the current medical oxygen supply chain and inventory management system. This shortcoming caused the deaths of several patients which could have been avoided by accurate prediction of the oxygen demand and the distribution of oxygen cylinders. To avoid such calamities in the future, this paper proposes an Internet of Everything (IoE) based solution which forecasts the demand for oxygen with 80-85% accuracy. The predicted variable of expected patients enables the system to calculate the requirement of oxygen up to the next 30 days from the initiation of data collection. The system is scalable and if implemented on a city or district level, will help in the fair distribution of medical oxygen resources and will save human lives during extreme load on the supply chain. © 2023 IEEE.

15th International Conference on Developments in eSystems Engineering, DeSE 2023 ; 2023-January:221-226, 2023.
Article in English | Scopus | ID: covidwho-2325406


The deadly virus COVID-19 has heavily impacted all countries and brought a dramatic loss of human life. It is an unprecedented scenario and poses an extreme challenge to the healthcare sector. The disruption to society and the economy is devastating, causing millions of people to live in poverty. Most citizens live in exceptional hardship and are exposed to the contagious virus while being vulnerable due to the inaccessibility of quality healthcare services. This study introduces ubiquitous computing as a state-of-The-Art method to mitigate the spread of COVID-19 and spare more ICU beds for those truly needed. Ubiquitous computing offers a great solution with the concept of being accessible anywhere and anytime. As COVID-19 is highly complicated and unpredictable, people infected with COVID-19 may be unaware and still live on with their life. This resulted in the spread of COVID-19 being uncontrollable. Therefore, it is essential to identify the COVID-19 infection early, not only because of the mitigation of spread but also for optimal treatment. This way, the concept of wearable sensors to collect health information and use it as an input to feed into machine learning to determine COVID-19 infection or COVID-19 status monitoring is introduced in this study. © 2023 IEEE.

17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2324929


COVID-19 has threatened human lives. However, the efficiency of combined interventions on COVID-19 has not been accurately analyzed. In this study, an improved SEIR model considering both real human indoor close contact behaviors and personal susceptibility to COVID-19 was established. Taking Hong Kong as an example, a quantitative efficiency assessment of combined interventions (i.e. close contact reduction, vaccination, mask-wearing, school closures, workplace closures, and body temperature screening in public places) was carried out. The results showed that the infection risk of COVID-19 of students, workers, and non-workers/students were 3.1%, 8.7%, and 13.6%, respectively. The basic reproduction number R0 was equal to 1 when the close contact reduction rate was 59.9% or the vaccination rate reached 89.5%. The results could provide scientific support for interventions on COVID-19 prevention and control. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.

2022 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2022 ; 2022-October, 2022.
Article in English | Scopus | ID: covidwho-2317865
Cluster Computing ; 2023.
Article in English | Scopus | ID: covidwho-2312242
International Conference on IoT, Intelligent Computing and Security, IICS 2021 ; 982:3-17, 2023.
Article in English | Scopus | ID: covidwho-2304804
3rd International Conference on Intelligent Communication and Computational Techniques, ICCT 2023 ; 2023.
Article in English | Scopus | ID: covidwho-2303187
Environmental Science and Technology Letters ; 2023.
Article in English | Scopus | ID: covidwho-2302744
2nd International Conference on Electronics and Renewable Systems, ICEARS 2023 ; : 1622-1626, 2023.
Article in English | Scopus | ID: covidwho-2294235
19th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2022 ; 585 LNNS:185-190, 2023.
Article in English | Scopus | ID: covidwho-2262470
2022 IEEE International Conference on Computing, ICOCO 2022 ; : 358-363, 2022.
Article in English | Scopus | ID: covidwho-2257335
3rd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2021 ; 946:285-299, 2023.
Article in English | Scopus | ID: covidwho-2257048
15th International Scientific Conference WoodEMA 2022 - Crisis Management and Safety Foresight in Forest-Based Sector and SMEs Operating in the Global Environment ; : 55-60, 2022.
Article in English | Scopus | ID: covidwho-2252343
2022 International Conference on Frontiers of Information Technology, FIT 2022 ; : 290-295, 2022.
Article in English | Scopus | ID: covidwho-2250396
Lecture Notes on Data Engineering and Communications Technologies ; 153:993-1001, 2023.
Article in English | Scopus | ID: covidwho-2285971
4th IEEE International Conference of Computer Science and Information Technology, ICOSNIKOM 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2283100
5th International Conference on Smart Systems and Inventive Technology, ICSSIT 2023 ; : 1728-1732, 2023.
Article in English | Scopus | ID: covidwho-2283090
World Conference on Information Systems for Business Management, ISBM 2022 ; 324:389-398, 2023.
Article in English | Scopus | ID: covidwho-2281797
25th International Conference on Interactive Collaborative Learning, ICL 2022 ; 634 LNNS:528-535, 2023.
Article in English | Scopus | ID: covidwho-2278840
2022 IEEE Pune Section International Conference, PuneCon 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2275867