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Biocontaminants represent higher risks to occupants' health in shared spaces. Natural ventilation is an effective strategy against indoor air biocontamination. However, the relationship between natural ventilation and indoor air contamination requires an in-depth investigation of the behavior of airborne infectious diseases, particularly concerning the contaminant's viral and aerodynamic characteristics. This research investigates the effectiveness of natural ventilation in preventing infection risks for coronavirus disease (COVID-19) through indoor air contamination of a free-running, naturally-ventilated room (where no space conditioning is used) that contains a person having COVID-19 through building-related parameters.

This research adopts a case study strategy involving a simulation-based approach. A simulation pipeline is implemented through a number of design scenarios for an open office. The simulation pipeline performs integrated contamination analysis, coupling a parametric 3D design environment, computational fluid dynamics (CFD) and energy simulations. The results of the implemented pipeline for COVID-19 are evaluated for building and environment-related parameters. Study metrics are identified as indoor air contamination levels, discharge period and the time of infection.

According to the simulation results, higher indoor air temperatures help to reduce the infection risk. Free-running spring and fall seasons can pose higher infection risk as compared to summer. Higher opening-to-wall ratios have higher potential to reduce infection risk. Adjacent window configuration has an advantage over opposite window configuration. As a design strategy, increasing opening-to-wall ratio has a higher impact on reducing the infection risk as compared to changing the opening configuration from opposite to adjacent. However, each building setup is a unique case that requires a systematic investigation to reliably understand the complex airflow and contaminant dispersion behavior. Metrics, strategies and actions to minimize indoor contamination risks should be addressed in future building standards. The simulation pipeline developed in this study has the potential to support decision-making during the adaptation of existing buildings to pandemic conditions and the design of new buildings.

The addressed need of investigation is especially crucial for the COVID-19 that is contagious and hazardous in shared indoors due to its aerodynamic behavior, faster transmission rates and high viral replicability. This research contributes to the current literature by presenting the simulation-based results for COVID-19 as investigated through building-related and environment-related parameters against contaminant concentration levels, the discharge period and the time of infection. Accordingly, this research presents results to provide a basis for a broader understanding of the correlation between the built environment and the aerodynamic behavior of COVID-19.

The purpose of this study was to examine how data from the World Health Organization, United States Environmental Protection Agency and Center for Disease Control have evolved with relation to engineering controls for heating, ventilation and air-conditioning (HVAC) systems to mitigate the spread of spread of aerosols (specifically related to the COVID-19 pandemic) in occupied buildings.

A document analysis of the pandemic-focused position documents from the aforementioned public health agencies and national HVAC authorities was performed. This review targeted a range of evidence from recommendations, best practices, codes and regulations and peer-reviewed publications and evaluated how they cumulatively evolved over time. Data was compared between 2020 and 2021.

This research found that core information provided early in the pandemic (i.e. early 2020) for engineering controls in building HVAC systems did not vary greatly as knowledge of the pandemic evolved (i.e. in June of 2021). This indicates that regulating agencies had a good, early understanding of how airborne viruses spread through building ventilation systems. The largest evolution in knowledge came from the broader acceptance of building ventilation as a transmission route and the increase in publications and ease of access to the information for the general public over time.

The promotion of the proposed controls for ventilation in buildings, as outlined in this paper, is another step toward reducing the spread of COVID-19 and future aerosol spread viruses by means of ventilation.

The purpose of this study is to conduct a rigorous systematic literature review and present a summary of building systems and technologies that can be used to mitigate the spread of airborne viruses. With the recent outbreak of COVID-19, occupants’ health and indoor air quality (IAQ) have become a critical issue for facility managers to maintain the full functionality of the buildings. An improved understanding of these available systems will help facility managers and building owners to protect the health and safety of building occupants.

The PRISMA protocol was used for defining the literature search methodology. The concept mapping technique was used for determining the keywords. The keywords were then used to search for relevant articles using the Scopus database and Google Scholar. A thorough bibliometric analysis and qualitative analysis were conducted for the selected publications.

It was found that sensor technologies, botanical air-filtration systems and artificial intelligence could be used to effectively monitor and improve IAQ. In addition, natural ventilation is one of the low-cost and effective methods of reducing contaminants from the indoor air. Computational fluid dynamic modeling can be used to understand the flow of virus particles within the building through the heating, ventilation and air-conditioning (HVAC) system. Several changes to the HVAC system are also discussed.

This study contains a diversity of methods from the existing literature that were systematically selected to present the state-of-the-art building systems and technologies that can effectively improve IAQ. The researchers plan to follow up on the findings of this research and will conduct an empirical study to assess its impact on IAQ.

Personal Protective Equipment plays an inevitable part in the current scenario of pandemics in the world. A novel coronavirus, Severe Acute Respiratory Syndrome-Corona Virus-2 (SARS-Cov 2), began as an outbreak of pneumonia in Wuhan, China, in late December 2019, and quickly spread worldwide. It quickly escalated into an international public health crisis. This opened up the high demand for the innovation and research of new materials in the Personal Protective Equipment industry.

PubMed, Embase and Google Scholar were searched for relevant literature regarding personal protective equipment and the information was organized in a systematic way.

There are no adequate number of studies taken up in the field of use of textiles in medical applications especially with PPEs.

This structured review will generate a sense of the significance of using PPE for controlling pandemics and also awaken need for additional research and innovations in this area.

The authorities of the management should take timely intervention in choosing the right material for their PPE in their hospitals. Hence health care professionals teams have an inevitable role in preventing the adverse environmental impact due to the inadvertent disposal of PPEs.

There is a lack of systematic way of disposing contaminated single-use face masks in a safe, environmentally acceptable manner. The dumping of single-use PPE in domestic garbage has had an adverse effect on the environment. Mismanaged plastic waste endangers the health of ecosystems by polluting marine and terrestrial environments, posing a significant risk of ingestion or injury to animals and contaminating habitats.

This review article provides an in-depth review of the use of different materials in PPE and challenges regarding its long-term use and implications on the environment.

The purpose of this paper is to devise a tool based on computational fluid dynamics (CFD) and machine learning (ML), for the assessment of potential airborne microbial transmission in enclosed spaces. A gated recurrent units neural network (GRU-NN) is presented to learn and predict the behaviour of droplets expelled through breaths via particle tracking data sets.

A computational methodology is used for investigating how infectious particles that originated in one location are transported by air and spread throughout a room. High-fidelity prediction of indoor airflow is obtained by means of an in-house parallel CFD solver, which uses a one equation Spalart–Allmaras turbulence model. Several flow scenarios are considered by varying different ventilation conditions and source locations. The CFD model is used for computing the trajectories of the particles emitted by human breath. The numerical results are used for the ML training.

In this work, it is shown that the developed ML model, based on the GRU-NN, can accurately predict the airborne particle movement across an indoor environment for different vent operation conditions and source locations. The numerical results in this paper prove that the presented methodology is able to provide accurate predictions of the time evolution of particle distribution at different locations of the enclosed space.

This study paves the way for the development of efficient and reliable tools for predicting virus airborne movement under different ventilation conditions and different human positions within an indoor environment, potentially leading to the new design. A parametric study is carried out to evaluate the impact of system settings on time variation particles emitted by human breath within the space considered.

Due to the ongoing Covid-19 pandemic, ventilation in a small cabin where social distancing cannot be guaranteed is extremely important. This study aims to find out the best configuration of open and closed windows in a moving car at varying speeds to improve the ventilation efficiency. The effectiveness of other mitigation measures including face masks, taxi screens and air conditioning (AC) systems are also evaluated.

Each window is given three opening levels: fully open, half open and fully closed. For a car with four windows, this yields 81 different configurations. The location of virus source is also considered, either emitting from the driver or from the rear seat passenger. Then three different travelling speeds, 5 m/s, 10 m/s and 15 m/s, are examined for the window opening/closing configurations that provide the best ventilation effect. A study into the effectiveness of face masks is realised by adjusting virus injection amounts; and the simulation of taxi screens and AC system simply requires a small modification to the car model.

The numerical studies identify the top window opening/closing configurations that provide the most efficient ventilation at different moving speeds, along with a comprehensive ranking list. The results show that fully opening all windows is not always the best choice. Simulations evaluating other mitigation measures confirm good effect of face masks and poor performance of taxi screens and AC systems.

This work is the first large-scale numerical simulation and parametric study about different window opening/closing configurations of a moving car. The results provide useful guides for travellers in shared cars to mitigate Covid-19 transmission risks. The findings are helpful to both individuals' health and society's recovery in the Covid-19 era and they also provide useful information to protect people from other respiratory infectious diseases such as influenza.

This study examined public knowledge and compliance with infectious disease preventive measures using COVID-19 as a case study. Exploratory research design was employed to collect primary qualitative data from 23 market-involved individuals through the use of in-depth interviews. Responses from the interviewees were audio-recorded, transcribed and categorised into themes before content analysis was used to decrypt fundamental cognitive processes and patterns. Results showed good public knowledge of the infectious disease signs and symptoms, mode of transmission as well as prevention. However, knowledge of how and why some of these preventive measures should be engaged was inadequate or lacking. Findings further showed knowledge-praxis gaps as expressed in the non-observance of face mask directives, disregarding social distancing requirements, and non-compliance to handwashing obligations. Lastly, results showed that observed preventive inactions were reportedly rooted in scarcity of proximate infectious disease cases, public distrust in government, leadership exemplar deficit, individual's poor responsibility mentality, and difficulties in adapting to preventive and control guidelines. Knowledge of this study is most beneficial to market-involved individuals affected by infectious disease policies. This empirical study has helped to unveil the need to bridge knowledge-praxis gap in order to curtail the spread of any infectious disease especially in market areas. The study concluded that unless health communication of infectious disease is adequately and properly disseminated, knowledge-praxis gaps remains inevitable. The need for detailed dissemination of health information, cum intervention strategies that bridge the observed knowledge-compliance gaps is highly imperative in a progressive and dynamic society.

This case study paper aims to explore the complexities and challenges of epidemic response and public health surveillance in Native American and Indigenous American communities in the United States and find viable solutions. This paper explores these topics through the emergence and impact of the hantavirus pulmonary syndrome (HPS) within the Navajo Nation in the United States using critical incident analysis and best practices.

This project is a case study paper based on a topical review of the literature. A topical review of the literature is a comprehensive exploration of the current body of knowledge within a particular research field. It is an important tool used by scholars and practitioners to further the development of existing knowledge as well as to identify potential directions for future research (Fourie, 2020). Such a paper can provide a useful insight into the various aspects of the process that the researcher may have overlooked, as well as highlighting potential areas of improvement (Gall et al., 2020). It can also provide a useful source of ideas and inspiration for the researcher as it can provide an overview of the various approaches used by other researchers in the field (Göpferich, 2009). Case study papers using a topical review of the literature have been used to help frame and inform research topics, problems and best practices for some time. They are typically used to explore a topic in greater depth and to provide an overview of the literature to improve the world of practice to provide a foundation for future comprehensive empirical research. Case study papers can provide research value by helping to identify gaps in the literature and by providing a general direction for further research. They can also be used to provide a starting point for research questions and hypotheses and to help identify potential areas of inquiry.

This study explores best practices in public health surveillance and epidemic response that can help strengthen public health infrastructure by informing the development of effective surveillance systems and emergency response plans, as well as improving data collection and analysis capabilities within Native American and Indigenous American communities in the United States that also have the option to include new technologies like artificial intelligence (AI) with similar outbreaks in the future.

The literature review did not include any primary data collection, so the existing available research may have limited the findings. The scope of the study was limited to published literature, which may not have reported all relevant findings. For example, unpublished studies, field studies and industry reports may have provided additional insights not included in the literature review. This research has significant value based on the limited amount of studies on how infectious diseases can severely impact Native American communities in the United States, leading to unnecessary and preventable suffering and death. As a result, research on viable best practices is needed on the best practices in public health surveillance and epidemic response in Native American and Indigenous American communities through historical events and critical incident analysis.

Research on public health surveillance and epidemic response in Native American communities can provide insights into the challenges faced by these communities and help identify potential solutions to improve their capacity to detect, respond to and prevent infectious diseases using innovative approaches and new technologies like AI.

More research on public health surveillance and epidemic response can inform policies and interventions to improve access to healthcare for Native American populations, such as increasing availability of healthcare services, providing culturally appropriate health education and improving communication between providers and patients. By providing better public health surveillance and response capacity, research can help reduce the burden of infectious diseases in Native American communities and ultimately lead to improved public health outcomes.

Purpose – This chapter considers the social politics of H5N1 (“avian influenza”), the 2009 H1N1 pandemic, and the response to it within the context of the history of pandemic influenzas and the continuing need for robust preventative public health systems more generally. In particular, the author considers how the borders between nations, species, and individuals are thrown into relief and called into question by influenza outbreaks and their management.

Methodology/approach – This work relies on literature review, media research, and critical and interpretative sociological methods.

Findings – While panic surrounding new and potentially highly virulent influenza strains is reasonable, such panic is not sustainable and belies the fact that every year presents the danger of a pandemic. This chapter argues that, if public health systems only respond to immediate panic and fail to consider how quickly airborne diseases can cross all sorts of borders, they do not attend to the real need for far-seeing, long-term, internationally collaborative disease prevention and disaster preparedness.

Contribution to the field – The author offers a critical and wellness- and prevention-oriented perspective on what priorities should be emphasized in the rapidly growing fields of disaster studies and disaster preparedness, which, by their nature, tend to be crisis oriented and focused on the micro-term, with planning done on a case-by-case basis. Such a narrow focus can render preventative health systems inflexible and unable to rise to the challenge of a disease that can spread easily through casual contact.

The purpose of this paper is to provide education on blood-borne viruses (BBVs) to prison staff to help reduce stigma within the prisons, improve the care prisoners receive and reduce the risk of occupational transmission.

An e-module was used to improve staff understanding of hepatitis B (HBV), hepatitis C (HCV) and HIV at a prison in Wales, UK. An assessment was used to gather data on prison staff understanding of BBVs prior to undertaking the e-module.

In total, 530/697 (76 per cent) prison staff completed the BBV e-module. Average pre- and post-course assessment scores were 8.6/11 and 10.85/11, respectively. Most staff understood the modes of hepatitis transmission, however, gaps in understanding were highlighted. In total, 22 per cent of staff believed HBV and HCV were airborne, 9 per cent believed transmission occurred through sharing cutlery. In total, 31 per cent of staff believed prisoners with hepatitis should declare their status to the prison.

The e-module significantly improved staff understanding of BBVs and should be incorporated into future prison training packages. Future education should include how BBVs are not transmitted with an emphasis on casual contact. Medical confidentiality in prisons should also be addressed. Improving understanding will help reduce the stigma of BBVs within prison and improve the multidisciplinary care the prisoner receives.

To the authors knowledge this is the first published evaluation of a BBV learning package for custodial staff. Evaluation of this educational package demonstrates a unique and valuable insight into the general understanding of BBVs by prison staff in Wales, UK.