This paper sets itself in a context of examining how IoT technology is disrupting and revolutionizing the monitoring and control of relative humidity in different spheres of smart cities with special reference to the enhancement of well-being in the information society. The authors discuss the current emergent research topics in IoT-based humidity sensors, wireless communication systems, and big data analytics for monitoring and controlling the humidity in real time. The paper also presents an outlook into various fields such as agriculture, healthcare, intelligent houses, industries, as well as the environment, and presents an indication of how managing humidity accurately enhances crop productivity, disease prevention, internal air quality, and the general wellbeing of the public. This also covers on the use of artificial intelligence and machine learning for IoT on analysis in terms of prediction and control. Admittedly, there are limitations associated with IoT including data security, compatibility, and power supply issues of the devices, etc. The future development of IoT as described in the paper includes improved sensors, edge computing, and the use of block-chain technology. Therefore, the authors find that IoT techniques for humidity measurement and management are effectively used in the development of healthier, comfortable, and sustainable environments in smart cities to enhance the quality of life.

A literature review of proposed scientific field in occupational safety, public health policy and management in public health organizations and services. Evidence of occupational safety, public health policy and management that are encountered by Greek public health organizations and services, also limited global literature. Connection and contribution of occupational health and safety with policy and management. Provided evidence of the exact risks that are perceived by occupational safety in public health services policy and management. Comprehensive relative to possible occupational safety in policy and management, with established and new evidence of only study include Greek public health organizations and services. New information’s and knowledge produced, was verified scientifically. During the COVID-19 pandemic, global financial crisis, job insecurity, decreased salaries and social instability where working conditions changed, risk factors were affected, risk increased and interpersonal working relationships had a particular impact under the period of the pandemic, especially for health professionals who were in the frontline. This study can bear a significant impact and with the help of various reviews we give the global occupational safety, public health policy and management in public health organizations and services. Study conducted on the recent period for the last decade, published papers along in Scopus, Web of Science, Direct Science, and Elsevier Journals. There are very few papers published based on the very contemporary title considered for the article; hence, this identified several articles in the scientific literature, but only few articles were classified as eligible according to the previously established criteria.

The COVID-19 outbreak has shown how urgently good models are needed to understand and project the dissemination of infectious diseases. Graph theory's excellent basis for presenting and analyzing complex networks helps one to grasp COVID-19 transmission dynamics. This work investigates the simulation and evaluation of the COVID-19 spread using multiple graph theory approaches. We utilize algorithms, including centrality assessments, community detection, and epidemic spreading models, to identify significant transmission channels and viable intervention sites; we also study the usage of network-building strategies to show relationships between individuals and communities. By incorporating real-world data with graph-based models, we demonstrate how these approaches could increase the accuracy of infection estimates and direct public health strategies. Moreover, the paper discusses the advantages and limitations of graph theory approaches within the framework of pandemic modeling, therefore leading the next direction of investigation to improve disease outbreak reactions. This work highlights the important contribution of graph theory to increase our understanding of COVID-19 dissemination and offers a scientific foundation for handling associated problems in upcoming public health-catastrophes.

Background: Digital health literacy and quality of life association with perceptions about the disease COVID-19 in public health services may have been little studied to date to examine socio-demographic parameters. Materials & methods: This research was conducted using self-report about digital health literacy, and quality of life questionnaires to participants attending in the Hippocrates Hospital Athens Greece (n=167). Initially, participants were asked to answer questions regarding the impact of the COVID-19 pandemic. The data of the study were analyzed using SPSS 26 IBM. Results: Study’s findings from has to do with the role of age. People who are younger in age seem to be more likely to think that quality of life is just a flu-like illness and generally harmless. In addition, the stronger the perceived impact of the pandemic, the higher the digital health literacy of the participants. Conclusions: The findings of this study regarding the relationship between socio-demographic variables and the examined parameters are in line with previous literature. Moreover, this study highlights the central role of digital health literacy in relation to the perception of the severity of the situation during quality of life associated with pandemic.

This study examines the necessary changes in Ghana’s medical negligence law which governs artificial intelligence (AI) pilots in hospitals to preserve the doctor-patient relationship and address the liability gap by reviewing Law 575, examination of case law. Combined with lessons from Nigerian hospitals and the global literature, practical recommendations result in acceptable changes, provider responsibilities are renewed, patient advocacy in automation Contributions include modeling legal language for maintaining standards of care, limiting algorithmic harm, and advising emerging AIs on diagnosis or treatment. The need for transparency of equipment and current pilots calls for an update to Rule 575 sooner rather than waiting for crimes to occur. Emphasis is placed on the potential of clinical leaders and policymakers.

Background: Perceptions of COVID-19 and vaccination can be affected by individual opinions, experiences, and trust in the facts given by Public Health Authorities. Attitudes are additionally affected by cultural and social influences. Effective government messaging can help decrease vaccine challenges. Methodology: In the last quarter of 2022, this cross-sectional research project analyzes socio-demographic aspects connected with risk factors using questionnaires at the vaccination center of Hippocrates General Hospital in Athens, Greece. Participants (N = 167) were tasked to answer concerns regarding the consequences of the COVID-19 pandemic, in addition to WHO measurement instruments for determining good health status. The study's data was analyzed with IBM SPSS v26. Results: The research revealed that women thought vaccines caused more damage than men, while young individuals believed that the disease was harmless. The quantity of education additionally impacts vaccine adverse reactions and long-term harm. COVID-19 perceptions vary concerning vaccination status. Conclusions: This research confirms the link between socioeconomic variables and pandemic severity perception, highlighting the significance of cooperating with Public Health Management Services to enhance communication tactics and develop effective vaccination campaigns.