scholarly journals IoT as Non-Phaarmaceutical Interventions for the Safety of Living Environments in COVID-19 Pandemic Age

2021 ◽  
Vol 3 ◽  
Author(s):  
Luciano Gamberini ◽  
Patrik Pluchino ◽  
Davide Bacchin ◽  
Andrea Zanella ◽  
Valeria Orso ◽  
...  
Keyword(s):  
Privacy Protection ◽  
Smart Devices ◽  
Protective Equipment ◽  
Smart Cameras ◽  
Healthcare Facilities ◽  
Safe Place ◽  
Perception Of Safety ◽  
Living Environments ◽  
The Internet Of Things ◽  
Pharmaceutical Interventions

The outbreak of the Sars-Cov-2 pandemic has changed our perception of safety in shared and public living environments including healthcare facilities, shops, schools, and enterprises. The Internet of Things (IoT) represents a suitable solution for managing anti-pandemic smart devices (e.g., UV lights, smart cameras, etc.) and increasing citizens’ safety in public health crises. In this paper, we highlighted how IoT technologies can be exploited as non-pharmaceutical interventions presenting the SAFE PLACE project as an implementation of this concept. The project meant to design and develop an IoT system to ensure the safety and salubrity of shared environments. Advanced algorithms will be exploited to detect and classify humans’ presence, gathering, usage of personal protective equipment, and considering carefully the privacy protection of individuals.

RESEARCH: Dry Heat Processing of Single-Use Respirators and Surgical Masks

2020 ◽  
Vol 54 (6) ◽  
pp. 410-416
Author(s):  
Joyce M. Hansen ◽  
Scott Weiss ◽  
Terra A. Kremer ◽  
Myrelis Aguilar ◽  
Gerald McDonnell
Keyword(s):  
Microbial Contamination ◽  
Healthcare Providers ◽  
High Volume ◽  
Airborne Particles ◽  
Heat Processing ◽  
Protective Equipment ◽  
Healthcare Facilities ◽  
Dry Heat ◽  
Surgical Masks ◽  
Single Use

The COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2, has challenged healthcare providers in maintaining the supply of critical personal protective equipment, including single-use respirators and surgical masks. Single-use respirators and surgical masks can reduce risks from the inhalation of airborne particles and microbial contamination. The recent high-volume demand for single-use respirators and surgical masks has resulted in many healthcare facilities considering processing to address critical shortages. The dry heat process of 80°C (176°F) for two hours (120 min) has been confirmed to be an appropriate method for single-use respirator and surgical mask processing.

COVID-19: The Importance of Adequate Personal Protective Equipment in Healthcare Medical Staff

2020 ◽  
Author(s):  
Anne Weissenstein
Keyword(s):  
Health Care ◽  
Personal Protective Equipment ◽  
Health Care Services ◽  
Infection Prevention And Control ◽  
Protective Equipment ◽  
Emotional Resilience ◽  
Healthcare Facilities ◽  
Care Services ◽  
Healthcare Settings ◽  
And Control

We present an update on infection prevention and control for COVID-19 in healthcare settings. This update focuses on measures to be applied in settings with increasing community transmission, growing demand for concern about COVID-19 patients, and subsequent staffing issues in the event of shortages of personal protective equipment for healthcare facilities worldwide. The comfort and emotional resilience of health care workers are key components in maintaining essential health care services during the COVID-19 virus (coronavirus) outbreak.

scholarly journals Infection control practices and challenges in Pakistan during the COVID-19 pandemic: a multicentre cross-sectional study

2021 ◽  
pp. 175717742110127
Author(s):  
Salma Abbas ◽  
Faisal Sultan
Keyword(s):  
Personal Protective Equipment ◽  
Prevention And Control ◽  
Infection Prevention ◽  
Hospital Staff ◽  
Cross Sectional Study ◽  
Infection Prevention And Control ◽  
Protective Equipment ◽  
Cross Sectional ◽  
Healthcare Facilities ◽  
And Control

Background: Patient and staff safety at healthcare facilities during outbreaks hinges on a prompt infection prevention and control response. Physicians leading these programmes have encountered numerous obstacles during the pandemic. Aim/objective: The aim of this study was to evaluate infection prevention and control practices and explore the challenges in Pakistan during the coronavirus disease 2019 pandemic. Methods: We conducted a cross-sectional study and administered a survey to physicians leading infection prevention and control programmes at 18 hospitals in Pakistan. Results: All participants implemented universal masking, limited the intake of patients and designated separate triage areas, wards and intensive care units for coronavirus disease 2019 patients at their hospitals. Eleven (61%) physicians reported personal protective equipment shortages. Staff at three (17%) hospitals worked without the appropriate personal protective equipment due to limited supplies. All participants felt overworked and 17 (94%) reported stress. Physicians identified the lack of negative pressure rooms, fear and anxiety among hospital staff, rapidly evolving guidelines, personal protective equipment shortages and opposition from hospital staff regarding the choice of recommended personal protective equipment as major challenges during the pandemic. Discussion: The results of this study highlight the challenges faced by physicians leading infection prevention and control programmes in Pakistan. It is essential to support infection prevention and control personnel and bridge the identified gaps to ensure patient and staff safety at healthcare facilities.

scholarly journals Preparedness and response of a tertiary hospital to the COVID-19 pandemic in Nigeria: challenges, opportunities and lessons

2021 ◽  
Author(s):  
Darlington E Obaseki ◽  
Iriagbonse I Osaigbovo ◽  
Esohe O Ogboghodo ◽  
Omokhoa Adeleye ◽  
Obehi A Akoria ◽  
...  
Keyword(s):  
Public Health ◽  
Personal Protective Equipment ◽  
Tertiary Hospital ◽  
Lessons Learned ◽  
Protective Equipment ◽  
Scientific Journals ◽  
Healthcare Facilities ◽  
Public Health Agencies ◽  
Health Agencies ◽  
Individual Healthcare

Abstract Africa was the last continent to be affected by the COVID-19 pandemic. Much of the discourse on Africa's response captured in scientific journals revolves around nations, public health agencies and organizations, but little is documented about how individual healthcare facilities have fared. This article reports the challenges faced in a tertiary hospital in Nigeria, including space constraints, diagnostic challenges, shortages in personal protective equipment and health worker infections. The opportunities and strengths that aided the response are also highlighted. The lessons learned will be useful to similar facilities. More information about health facility response at various levels is needed to comprehensively assess Africa's response to the pandemic.

Efficient Ontology Integration Model for Better Inference in Context Aware Computing

2011 ◽  
Vol 268-270 ◽  
pp. 841-846
Author(s):  
Soo Mi Yang
Keyword(s):  
Video Data ◽  
Smart Devices ◽  
Collaborative Network ◽  
Context Aware ◽  
Integration Model ◽  
Smart Cameras ◽  
Ontology Integration ◽  
Context Aware Computing ◽  
Heterogeneous Devices ◽  
Distributed Ontology

In this paper, we describe efficient ontology integration model for better context inference based on distributed ontology framework. Context aware computing with inference based on ontology is widely used in distributed surveillance environment. In such a distributed surveillance environment, surveillance devices such as smart cameras may carry heterogeneous video data with different transmission ranges, latency, and formats. However even smart devices, they generally have small memory and power which can manage only part of ontology data. In our efficient ontology integration model, each of agents built in such devices get services not only from a region server, but also peer servers. For such a collaborative network, an effective cache framework that can handle heterogeneous devices is required for the efficient ontology integration. In this paper, we propose a efficient ontology integration model which is adaptive to the actual device demands and that of its neighbors. Our scheme shows the efficiency of model resulted in better context inference.

From Users’ Intentions to IF-THEN Rules in the Internet of Things

2021 ◽  
Vol 39 (4) ◽  
pp. 1-33
Author(s):  
Fulvio Corno ◽  
Luigi De Russis ◽  
Alberto Monge Roffarello
Keyword(s):  
Internet Of Things ◽  
Smart Devices ◽  
The Internet ◽  
Short Term ◽  
Real World Data ◽  
Original Intention ◽  
Recommendation Accuracy ◽  
High Level ◽  
The Internet Of Things

In the Internet of Things era, users are willing to personalize the joint behavior of their connected entities, i.e., smart devices and online service, by means of trigger-action rules such as “IF the entrance Nest security camera detects a movement, THEN blink the Philips Hue lamp in the kitchen.” Unfortunately, the spread of new supported technologies makes the number of possible combinations between triggers and actions continuously growing, thus motivating the need of assisting users in discovering new rules and functionality, e.g., through recommendation techniques. To this end, we present , a semantic Conversational Search and Recommendation (CSR) system able to suggest pertinent IF-THEN rules that can be easily deployed in different contexts starting from an abstract user’s need. By exploiting a conversational agent, the user can communicate her current personalization intention by specifying a set of functionality at a high level, e.g., to decrease the temperature of a room when she left it. Stemming from this input, implements a semantic recommendation process that takes into account ( a ) the current user’s intention , ( b ) the connected entities owned by the user, and ( c ) the user’s long-term preferences revealed by her profile. If not satisfied with the suggestions, then the user can converse with the system to provide further feedback, i.e., a short-term preference , thus allowing to provide refined recommendations that better align with the original intention. We evaluate by running different offline experiments with simulated users and real-world data. First, we test the recommendation process in different configurations, and we show that recommendation accuracy and similarity with target items increase as the interaction between the algorithm and the user proceeds. Then, we compare with other similar baseline recommender systems. Results are promising and demonstrate the effectiveness of in recommending IF-THEN rules that satisfy the current personalization intention of the user.

scholarly journals Design a blockchain-based middleware layer in the Internet of Things Architecture

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Tanweer Alam
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
Smart Devices ◽  
The Internet ◽  
Novel Approach ◽  
Generation Computing ◽  
Critical Issues ◽  
Iot Devices ◽  
The Internet Of Things

In next-generation computing, the role of cloud, internet and smart devices will be capacious. Nowadays we all are familiar with the word smart. This word is used a number of times in our daily life. The Internet of Things (IoT) will produce remarkable different kinds of information from different resources. It can store big data in the cloud. The fog computing acts as an interface between cloud and IoT. The extension of fog in this framework works on physical things under IoT. The IoT devices are called fog nodes, they can have accessed anywhere within the range of the network. The blockchain is a novel approach to record the transactions in a sequence securely. Developing a new blockchains based middleware framework in the architecture of the Internet of Things is one of the critical issues of wireless networking where resolving such an issue would result in constant growth in the use and popularity of IoT. The proposed research creates a framework for providing the middleware framework in the internet of smart devices network for the internet of things using blockchains technology. Our main contribution links a new study that integrates blockchains to the Internet of things and provides communication security to the internet of smart devices.

scholarly journals Methodology for Measuring the Impact of the Privacy Protection Law on the Use of Big Data

2021 ◽  
Vol 15 ◽  
pp. 62-66
Author(s):  
Oh Ky U-Cheol
Keyword(s):  
Big Data ◽  
Stock Prices ◽  
Privacy Protection ◽  
Turning Point ◽  
Personal Information ◽  
Legal Regulation ◽  
Technical Innovation ◽  
Smart Devices ◽  
Ict Revolution ◽  
The Impact

The ICT revolution triggered by the emergence of smart devices, typically represented by the iPhone and the iPad, is migrating into the new domain of ‘big data’ after passing the turning point of ‘SNS Life,’ which is represented by Twitter and FaceBook among others. These developments have brought significant changes in all areas of politics, economy and culture. The stock prices of Apple, Samsung Electronics, FaceBook and Google fluctuate depending on who takes the hegemony in the changes. Meanwhile, such a reform of the ICT sector has generated some new undesirable sideeffects, including online disclosure of personal information, malicious comments, Smishing or other forms of financial scams. As we cannot abandon either big data or privacy protection, it is critical to find a compromise. It seems both evident and selfexplanatory that the use of big data, which is attributable to technical innovation, conflicts with privacy protection based on the idea that individuals should be allowed to determine the disclosure or not of their personal information. Yet, the problem here is that the discussion of countermeasures remains at the level of catching the wind with a net. Therefore, this paper intends to present a framework that can objectively verify what impact the enhanced legal regulation concerning privacy protection has on the use of big data as the first step in exploring a compromise between the use of big data and privacy protection.

scholarly journals IoT-Fog A Communication Framework using Blockchain in the Internet of Things

2020 ◽  
Author(s):  
Tanweer Alam
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Fog Computing ◽  
Emerging Technology ◽  
Smart Devices ◽  
The Internet ◽  
Next Generation ◽  
Communication Framework ◽  
Generation Computing ◽  
The Internet Of Things

<p>The fog computing is the emerging technology to compute, store, control and connecting smart devices with each other using cloud computing. The Internet of Things (IoT) is an architecture of uniquely identified interrelated physical things, these physical things are able to communicate with each other and can transmit and receive information. <a>This research presents a framework of the combination of the Internet of Things (IoT) and Fog computing. The blockchain is also the emerging technology that provides a hyper, distributed, public, authentic ledger to record the transactions. Blockchains technology is a secured technology that can be a boon for the next generation computing. The combination of fog, blockchains, and IoT creates a new opportunity in this area. In this research, the author presents a middleware framework based on the blockchain, fog, and IoT. The framework is implemented and tested. The results are found positive. </a></p>

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