Response Measures Research Articles

Investigating the Management of COVID-19 Pandemic Risks in Primary Schools: A Case of Public Primary Schools in Lindi Region, Southern Tanzania

The spread of COVID-19 in the year 2020 put various nations at risk, especially in social, economic, and educational aspects. School closure was employed as one of the response measures against the spread of this virus. However, the measure imposed high social and educational risks with consequences of a massive drop academically. This study investigated the management of the COVID-19 pandemic risks in primary schools in the Lindi region in Tanzania intending to suggest the essence of having a risk management plan for indeterminate outbreaks and other uncertainties to avoid the recurrence of the risks. The study adopted a qualitative case study design which allowed an in-depth data collection through one-on-one interviews and observation methods. Thematic analysis was adopted to analyze the data for this inquiry. Findings revealed that the targeted schools were able to manage the COVID-19 pandemic risks even though the management was done locally due to the lack of risk management plans in the schools. Furthermore, it was discovered that there was no budget set to deal with the emerging risks. Headteachers from the investigated schools went as far as using part of their salaries to tackle the emerging risks as a result of school closure. Additionally, findings also revealed that during school closure teachers were unprepared on how to conduct the teaching and learning processes amongst the pupils through distance mode. Despite several endeavors to try to ensure pupils continue to learn in their homes, the strategies were not successful due to inadequate Information and Communication Technology (ICT) knowledge and skills among the teachers, parents, and pupils as well as insufficient supportive distance learning infrastructures such as ICT equipment and the internet. Consequently, proper implementation of distance teaching and learning during school closure was impaired due to the lack of risk management plans in schools. It is recommended that the risk management plan be developed to ensure that teaching and learning processes are never hampered by emergencies.

Evaluating environmental legislation on disaster resilience: Data insights from Nigeria and the USA

This review provides a succinct overview of the research conducted to evaluate the effectiveness of environmental legislation in enhancing disaster resilience, drawing insights from case studies in Nigeria and the United States. Environmental legislation plays a pivotal role in mitigating the impacts of natural disasters, yet its effectiveness in fostering resilience remains a subject of debate. This study employs a comparative analysis approach, examining the legislative frameworks and their implementation in two diverse contexts: Nigeria, representing a developing nation with significant environmental challenges, and the USA, a developed nation with robust regulatory mechanisms. Through comprehensive data collection and analysis, this research scrutinizes the extent to which environmental legislation contributes to disaster resilience in both countries. Key factors such as regulatory compliance, enforcement mechanisms, stakeholder engagement, and institutional capacity are evaluated to gauge the efficacy of the legislative frameworks. Findings reveal disparities in the implementation and effectiveness of environmental legislation between Nigeria and the USA. In Nigeria, despite the existence of relevant laws, challenges persist in enforcement due to institutional weaknesses, corruption, and inadequate resources. Consequently, communities remain vulnerable to recurrent disasters, exacerbating socio-economic disparities and environmental degradation. Conversely, the USA demonstrates a more structured approach to environmental legislation, with robust regulatory mechanisms, efficient enforcement, and proactive risk management strategies. This has led to greater resilience and adaptive capacity, evidenced by effective disaster preparedness, response, and recovery measures. However, despite these disparities, the study identifies common areas for improvement in both contexts. Strengthening institutional capacity, enhancing public awareness and participation, promoting sustainable practices, and fostering international cooperation emerge as crucial strategies to bolster disaster resilience through environmental legislation. This research underscores the significance of evaluating environmental legislation in enhancing disaster resilience, providing valuable insights for policymakers, practitioners, and stakeholders in Nigeria, the USA, and beyond. By addressing the identified challenges and leveraging best practices, nations can foster a more resilient future in the face of escalating environmental risks and uncertainties.

인공지능 활용에 따른 차별에 대한 법적 고찰

As AI has a significant impact on daily life, the economy, and industry, various problems are raised. Among them, special attention should be paid to the problem of unreasonable discrimination. If big data continues to expand and AI technology develops further in the future, and AI is used in all areas of life, the problem of discrimination will become a very serious social problem. As there is a high possibility that the problem of unreasonable discrimination due to the use of AI will surface, legal countermeasures must be carefully considered. So this paper examines legal measures to prevent and respond to the problem of unfair discrimination caused by the use of AI. We briefly summarize the meaning and types of discrimination, examine the causes of discrimination due to the use of AI, the risks of such discrimination, and the necessity and difficulty of legal regulation regarding this, and then based on this discussion, present legal measures to prevent and regulate discrimination.
 There is a high risk that AI will not only reflect the biases inherent in our society, but also strengthen and perpetuate them. On the other hand, due to the opacity and complexity unique to AI, it is difficult to recognize and correct discrimination and resolve disputes. Accordingly, we must recognize the seriousness of the risk that AI will further solidify prejudice and discrimination in our society, and prepare normative response measures that meet the characteristics of such risk.
 First of all, standards for equality and fairness that should be reflected in legal regulations must be established. Reasonable conclusions must be made about the meaning and content of discrimination, the values of non-discrimination and fairness that must be observed, standards for evaluating the legitimacy of discriminatory treatment, and proper indicators. Next, it is important to conduct impact assessment and inspect the risks of AI systems in advance and ensure transparency to prevent unreasonable discrimination. In addition, the entity responsible for unreasonable discrimination that occurs in various contexts must be clearly identified, and procedural rules regarding dispute resolution must be clarified. Basically, it is necessary to hold the user who adopts the AI system accountable and appoint a person responsible for preventing bias. Above this, the fact that AI is being used must be notified to the person being evaluated, and the input and output data of the algorithm must be disclosed afterwards. Also, expansion of public data disclosure and relaxation and transition of the burden of proof for unreasonable discrimination should also be considered.

소방공무원 현장순직사고의 발생실태 및 대응방안에 관한 연구

This study analyses the on-site fatal accidents of firefighters from 2002 to 2021 and proposes response measures to reduce fatal accidents. For this purpose, detailed analyses were conducted by type of work, cause, region, day of the week, rank, age, and years of service. The most common type of fatal accident was engaged in firefighting, followed by drowning and traffic accidents. There were more fatal accidents in Gyeonggi and Gangwon province on Thursdays. There was a disproportionately high rate of fatal accidents among those in leading positions(fire sergeant and senior firefighter) in the field and those in their late 30s. Firefighters with less than five years of experience had a high rate of fatalities. Based on these analyses, this study makes the following recommendations for reducing fatal accidents. First, a strategy for responding to fatal accidents that considers various causes and factors is needed. Second, response strategies should be tailored to each region and location. Third, a response strategy for early problem-solving is needed. Lastly, we need safety education based on the life cycle.

Effects of point-source discharges on shortfin eels (Anguilla australis) along the Waikato River, New Zealand

ABSTRACT The Waikato River is the longest river in New Zealand and is exposed to range of anthropogenic stressors. This study investigated the effects of three major point-source discharges on resident shortfin eels Anguilla australis along the river. Shortfin eels were caught from sites upstream and downstream of discharges of bleached kraft mill effluent (BKME) from pulp and paper manufacture, sewage, and a thermal power plant. At each site, population parameters (relative abundance and age structure) and individual metrics of health such as condition factor and organ (gonad, liver, and spleen) to somatic weight ratios were measured. Blood, biochemical (hepatic 7-ethoxyresorufin-O-deethylase or EROD) and chemical markers (bile chemistry and trace elements in flesh) were also measured. Measures of exposure and response to discharges confirmed that the shortfin eels were resident at the sites sampled. The discharges had few negative impacts on individual eel health and positive responses were seen to warm water discharge. However, resident shortfin eels were immature so reproductive responses could not be determined. In conclusion, shortfin eels in this study showed few responses to the effects of the discharges except for increased resin acids, bile polycyclic aromatic hydrocarbons, and EROD at the BKME site.

Sustainable-resilient-responsive supply chain with demand prediction: An interval type-2 robust programming approach

This study configures a novus multi-objective three-stage supply chain network that aims at optimizing sustainability, resilient and responsive measures, simultaneously. At first, a novel prediction model based on Markov chain, Dempster-Safer evidence theory and Shapely value is developed under trapezoidal interval type-2 fuzzy ambience to predict the demand of future scenarios. The prediction model prevents undesired loss occurred due to illogical demand consideration. To encounter interval type-2 fuzziness as well as risk in decision making, an unprecedented trapezoidal interval type-2 fuzzy robust possibilistic programming approach is introduced. The DEcision MAking Trial and Evaluation Laboratory method is suggested in the framework of trapezoidal interval type-2 fuzzy to prioritize the objective function by scrutinizing the interrelationship among different objective function components. As a result, the subjectiveness in the decision making framework is reduced. The generated configuration is then analysed using a blended approach that merges multi-choice reference goal programming with utility functions and particle swarm optimization. The integrated approach produces high-quality solution in lesser computational time. The insightful explorations are delivered based on a case study of hydrogen fuel supply chain in India. The outcomes show how resilient tactics are quite effective and can significantly enhance social, environmental, and economic aspects. It is determined that the best results for supply chain are obtained when the suggested sustainable, resilience and responsiveness tactics are used jointly. Moreover, the sensitivity analysis results suggest that the objective functions are substantially affected by the responsive level; therefore, managers ought to envisage the trade-off between responsiveness and other objective functions.

Age-Related Deficits in Binaural Hearing: Contribution of Peripheral and Central Effects.

Pure-tone audiograms often poorly predict elderly humans' ability to communicate in everyday complex acoustic scenes. Binaural processing is crucial for discriminating sound sources in such complex acoustic scenes. The compromised perception of communication signals presented above hearing threshold has been linked to both peripheral and central age-related changes in the auditory system. Investigating young and old Mongolian gerbils of both sexes, an established model for human hearing, we demonstrate age-related supra-threshold deficits in binaural hearing using behavioral, electrophysiological, anatomical, and imaging methods. Binaural processing ability was measured as the binaural masking level difference (BMLD), an established measure in human psychophysics. We tested gerbils behaviorally with "virtual headphones," recorded single-unit responses in the auditory midbrain and evaluated gross midbrain and cortical responses using positron emission tomography (PET) imaging. Furthermore, we obtained additional measures of auditory function based on auditory brainstem responses, auditory-nerve synapse counts, and evidence for central inhibitory processing revealed by PET. BMLD deteriorates already in middle-aged animals having normal audiometric thresholds and is even worse in old animals with hearing loss. The magnitude of auditory brainstem response measures related to auditory-nerve function and binaural processing in the auditory brainstem also deteriorate. Furthermore, central GABAergic inhibition is affected by age. Because the number of synapses in the apical turn of the inner ear was not reduced in middle-aged animals, we conclude that peripheral synaptopathy contributes little to binaural processing deficits. Exploratory analyses suggest increased hearing thresholds, altered binaural processing in the brainstem and changed central GABAergic inhibition as potential contributors.

EVALUATION OF COVID-19 PANDEMIC POLICY IN SOUTH SULAWESI

Objectives: The aim of this research is to determine the evaluation of the COVID-19 pandemic policy in South Sulawesi.
 
 Methods: The method used is a qualitative research method with a type of field research. The location of this research is South Sulawesi, while the participants in this research are two people each, policymakers related to COVID-19 in South Sulawesi and the general public.
 
 Results: The results of this research conclude that the level of coordination between agencies is a key factor in the success of policy implementation. The involvement of local governments, health institutions, the private sector, and the community greatly influences the efficiency and effectiveness of pandemic response measures. Limited resources, especially budget and health facilities, are challenges that must be overcome. There is a need to optimize resource allocation to meet diverse needs, including economic support and strengthening the health system. The economic impact of the pandemic varies across various sectors and levels of society. There needs to be a focused strategy to help the most affected groups, such as MSMEs, as well as long-term solutions to mitigate the long-term economic impact.
 
 Conclusion: In conclusion, the evaluation of the COVID-19 pandemic policy in South Sulawesi underscores the importance of coordination among agencies, resource optimization, and targeted strategies to address the diverse impacts of the pandemic. This research highlights the need for proactive measures to support affected sectors and strengthen the overall resilience of the health and economic systems in the region.

VISITOR SATISFACTION WITH MUSEUM MANAGEMENT DURING THE COVID-19 PANDEMIC: A CASE STUDY OF THE NATIONAL MUSEUM OF MALAYSIA

During the 2019 global pandemic, widespread museum closures ensued, exacerbated by Malaysia's heightened distancing measures in response to emerging Covid Omicron variants. This research addresses the scarcity of studies on visitor perception during COVID-19, explicitly focusing on evaluating satisfaction by scrutinising visitation patterns, visitor satisfaction, and initiatives by the National Museum Malaysia. Employing mixed methods, a quantitative survey involving 260 museum visitors was conducted using random sampling and analysed using SPSS. The study also incorporated qualitative interviews with two museum personnel to complement the quantitative aspect, and these were thematically analysed. The findings reveal a decline in physical visits, and noteworthy efforts by management in online engagement and collaborations with broadcasters were observed. While overall satisfaction prevails, there is room for improvement in communicating online activities. The data indicates a readiness for a virtual museum in the future.

Local Antimicrobial Resistance Trends in Pediatric Urinary Tract Infection: The Importance of Local Surveillance of a Global Problem.

Introduction Urinary tract infections (UTIs) are one of the most common pediatric bacterial infections and consequently a major reason for antibiotic treatment. Despite being a global problem, antimicrobial resistance is often geographically heterogeneous. Thus, it is fundamental to know local epidemiology and practice frequent surveillance of each hospital's antibiograms. The aims of this study areto determine the local antimicrobial resistance profile in pediatric UTIs, to understand its evolution over 14 years, and finally, to infer if the currently instituted antibiotic empirical therapy remains effective. Materials and methods A retrospective observational study was performed through the analysis of urine cultures and respective antibiograms of children diagnosed with UTIfrom 2017 to 2019 in Centro Hospitalar Universitário do Algarve (Faro's unit, Portugal), followed by a comparison of the obtained datawith the results of a similar study performed between 2003 and 2005. Results A total of 784 urine cultures were selected. Escherichia coli was the most frequent microorganism (n = 561; 71.56%), followed by Proteus mirabilis (n = 117; 14.92%) and Klebsiella pneumoniae (n = 40; 5.10%). The most commonly prescribed antibiotic was cefuroxime axetil (66.28%). Escherichia coli had an increase in resistance to amoxicillin-clavulanate of 6.16% to 34.76% and cefuroxime axetil of 0.73% to 4.46%. Proteus mirabilis had an increase in resistance to amoxicillin-clavulanate of 1.64% to 11.11%. Klebsiella pneumoniae had an increase in resistance to cefuroxime axetil (0%-27.50%) and nitrofurantoin (0%-47.50%). The three microorganisms showed a decrease in trimethoprim-sulfamethoxazole resistance profiles, as well as low resistance profiles to fosfomycin. In fifty cases in which antibiotic empirical therapy was instituted, the isolated microorganism revealed in vitro resistance; 37 of these cases had a good evolution, maintaining the antibiotic empirical therapy. Discussion Local surveillance of antimicrobial resistanceallows monitoring of the resistance trends and adequacy of empirical antibiotic therapy. This study's local resistance profile was distinct from other regions of the country and the world. Continuous local surveillance also potentiates the dissemination of the results to the concerned healthcare providers and the initiation of timely responsive measures, containing the increase in antimicrobial resistance. As Escherichia coli was the commonest isolated microorganism, its antimicrobial profile should dictate antibiotic empirical therapy. This study supports that in vitro is not equivalent to in vivo resistance. Conclusion There was a significant increase in antimicrobial resistance profiles, especially to amoxicillin-clavulanate. Cefuroxime axetil remains the recommended antibiotic for empirical therapy in this hospital, although fosfomycin should be considered as an alternative in non-complicated cystitis in adolescent females. This study reinforces the importance of continuous local resistance surveillance as a preventive measure against the global increase in antimicrobial resistance.

Outcomes of control and monitoring of a widespread riparian invader (Tamarix spp.): a comparison of synthesis approaches

Effective ecological restoration requires empirical assessment to determine outcomes of projects, but conclusions regarding the effects of restoration treatments on the whole ecosystem remain rare. Control of invasive shrubs and trees in the genus Tamarix and associated riparian restoration in the American Southwest has been of interest to scientists and resource managers for decades; dozens of studies have reported highly variable outcomes of Tamarix control efforts, as measured by a range of response variables, temporal and spatial scales and monitoring strategies. We conducted a literature search and review, meta-analysis and vote count (comparison of numerical outcomes lacking reported variances and/or sample sizes) on published papers that quantitatively measured a variety of responses to control of Tamarix. From 96 publications obtained through a global search on terms related to Tamarix control, we found 52 publications suitable for a meta-analysis (n = 777 comparisons) and 63 publications suitable for two vote counts (n = 1,460 comparisons total; 622 comparisons reported as statistically significant) of response to Tamarix control. We estimated responses to control by treatment type (e.g. cut-stump treatment, burning, biocontrol) and ecosystem component (e.g. vegetation, fauna, fluvial processes). Finally, we compared results of the various synthesis methods to determine whether the increasingly stringent requirements for inclusion led to biased outcomes. Vegetation metrics, especially measures of Tamarix response, were the most commonly assessed. Ecosystem components other than vegetation, such as fauna, soils and hydrogeomorphic dynamics, were under-represented. The meta-analysis showed significantly positive responses by vegetation overall to biocontrol, herbicide and cut-stump treatments. This was primarily due to reduction of Tamarix cover; impacts on replacement vegetation were highly variable. We found concordance amongst our varied synthesis approaches, indicating that increased granularity from stricter quantitative techniques does not come at the cost of a biased sample. Overall, our results indicate that common control methods are generally effective for reducing Tamarix, but the indirect effects on other aspects of the ecosystem are variable and remain understudied. Given that this is a relatively well-studied invasive plant species, our results also illustrate the limitations of not only individual studies, but also of reviews for measuring the impact of invasive species control. We call on researchers to investigate the less commonly studied responses to Tamarix control and riparian restoration including the effects on fauna, soil and hydrogeomorphic characteristics.

Acoustic emission of kidney stones: a medical adaptation of statistical breakdown mechanisms

Kidney stones have a prevalence rate of > 10% in some countries. There has been a significant increase in surgery to treat kidney stones over the last 10 years, and it is crucial that such techniques are as effective as possible, while limiting complications. A selection of kidney stones with different chemical and structural properties were subjected to compression. Under compression, they emit acoustic signals called crackling noise. The variability of the crackling noise was surprisingly great comparing weddellite, cystine and uric acid stones. Two types of signals were found in all stones. At high energies of the emitted sound waves, we found avalanche behaviour, while all stones also showed signals of local, uncorrelated collapse. These two types of events are called ‘wild’ for avalanches and ‘mild’ for uncorrelated events. The key observation is that the crossover from mild to wild collapse events differs greatly between different stones. Weddellite showed brittle collapse, extremely low crossover energies (< 5 aJ) and wild avalanches over 6 orders of magnitude. In cystine and uric acid stones, the collapse was more complicated with a dominance of local “mild” breakings, although they all contained some stress-induced collective avalanches. Cystine stones had high crossover energies, typically ∼\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\sim$$\\end{document} 750 aJ, and a narrow window over which they showed wild avalanches. Uric acid stones gave moderate values of crossover energies, ∼\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\sim$$\\end{document} 200 aJ, and wild avalanche behaviour for ∼\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\sim$$\\end{document} 3 orders of magnitude. Further research extended to all stone types, and measurement of stone responses to different lithotripsy strategies, will assist in optimisation of settings of the laser and other lithotripsy devices to insight fragmentation by targeting the ‘wild’ avalanche regime.

Developing the Minimum Data Set for a Disaster Mental Health Registry System

Introduction: There is a close relationship between mental health and psychosocial problems in disaster settings, as well as overlap in the support provided for these problems. Therefore, public health officials need to understand the burden of behavioral health conditions among survivors and the needs of the affected community. This study aimed to develop a mental health minimum data set for an electronic disaster registry system to provide timely, essential, and accurate information to personnel on the ground and policymakers to design a disaster response and develop an action plan rapidly.Material and Methods: The present study is a mixed‑method (sequential exploratory) study. In the qualitative phase, a literature review and semi‑structured interviews with experts were conducted to generate an item pool for the mental health response in disasters. In the quantitative phase the quantitative content validity, content validity ratio and content validity index were used.Results: proposed data elements, 85 data elements were confirmed according to the opinion of experts and categorized into two main parts, pre-disaster part with three sections; including region profile, mental health local background, regional mental health committee affairs, and post-disaster parts with five sections including disaster information, information of mental health teams, mental health status, mental health interventions, and mental health need assessment.Conclusion: Collecting this minimum data set is critical for helping policymakers and healthcare providers prevent, control, and manage the mental health impacts of disasters during the response phase. Besides facilitating and promoting disaster prevention and response programs and measures.

Neuroscience tools to study the effect of the presentation form on food-evoked emotion for senior population

The elderly population holds significance among consumers because many of them experience alterations in taste and smell or suffer from physical disorders. These factors can lead to reduced food intake, malnutrition, and, consequently, serious health problems. Therefore, there is a need to develop tailored products for seniors, offering both nutrition and appealing foods with easily consumable textures. Among the various characteristics of food, appearance stands out as one of the most critical aspects influencing food preferences and choices. Surprisingly, there is limited knowledge about how food shape affects the holistic emotional responses of seniors. The objective of this study was to investigate the impact of food shape on the emotional responses of seniors. This exploration involved the use of explicit methods, such as self-reported questionnaires, and implicit methods, including the measurement of skin conductance responses and facial expressions, as well as their combination. To achieve this goal, we enlisted the participation of 50 individuals (54 % women) from the senior population aged between 55 and 75 years. These participants evaluated two food products with identical sensory characteristics in terms of taste, texture, and flavor. However, these products differed in terms of their shape. We measured their degree of liking and emotional responses using a 7-point hedonic scale, EsSense25, in conjunction with galvanic skin response, and facial expressions, which served as representatives of behavioural and physiological responses. The multivariate analysis allowed to examine sample configurations by gender and establish associations between variables. The combination of implicit and explicit methods led to better discrimination of samples of the same category than the use of each of the methods independently. Although both samples elicited equivalent liking perceptions, they evoked distinct emotional responses, measured at cognitive, physiological, and behavioural levels. In general, men and women experienced different emotions while observing, smelling, handling, or consuming both samples, both consciously and unconsciously. This newfound knowledge could be valuable when designing food products for this demographic. The ultimate goal is to engage consumers and enhance their enjoyment of the food experience by offering more visually appealing food options.

Mental health during the COVID-19 pandemic and first lockdown in Lebanon: Risk factors and daily life difficulties in a multiple-crises setting.

Research from around the world shows important differences in the impact of the COVID-19 pandemic and lockdowns on mental health. This study examined the extent of mental health challenges (depressive and anxiety symptoms and daily life difficulties) and their associations with pandemic- and response-related factors during the first lockdown in Lebanon, which happened amid a severe economic crisis and socio-political turmoil. Data come from a cross-sectional internet-based survey (May-June 2020). Association of depressive (Patient Health Questionnaire (PHQ-9)) and anxiety symptoms (Generalized Anxiety Disorder (GAD-7)) with outbreak-related worries and knowledge, information sources, and confidence and satisfaction in response measures were estimated using logistic regression adjusted for sociodemographic and socioeconomic indicators. Among 510 participants (mean age 36.1±11.3; 69.4% women), 32.3% had elevated depressive and 27.3% had elevated anxiety symptoms; younger age, unemployment, loss of employment, and lower income were related to more mental health symptoms. Most prevalent daily life challenges were feelings of uncertainty (74.5%) and financial (52.2%) and emotional (42.2%) difficulties; these and all other daily life difficulties (work-related, caregiving, and online learning) were significantly higher among participants with higher depressive and anxiety symptoms. Higher outbreak-related worries were associated with higher depressive (OR = 1.36, 95% CI = 1.20,1.53) and anxiety symptoms (OR = 1.47, 95% CI = 1.30,1.67). Higher pandemic-related knowledge, reliance on and trust in local health agencies and professionals' information, and satisfaction and confidence regarding governmental and health institutions' response were all related to lower mental health symptoms. Results show that mental health burden in Lebanon during the first lockdown (when the COVID-19 outbreak was still minimal) is among the highest reported worldwide and highlight elevated emotional and financial tolls and widespread impact on daily life. In this high-burden and multiple-challenges context, results suggest an important role for the healthcare body, knowledge, and trust in the institutions managing the response.

Scale dependency of anisotropic thermal conductivity of heterogeneous geomaterials

The precise determination of subsurface thermal properties is critical for ground-source heating systems. The geomaterials are inherently heterogeneous, and their thermal conductivity measured in laboratory and field tests often exhibits anisotropic behaviours. However, the accurate measurement of thermal responses in geomaterials presents a challenging task due to the anisotropy’s variation with the observed scale. Hence, a numerical method is developed in this work and illustrated by taking a typical anisotropic structure of geomaterials with the porosity of 0.5 as an example. The differences in data from laboratory measurements and field tests are discussed to explore the scale effect on anisotropic thermal properties. A series of simulation tests are conducted on specimens with varying dimensions using the finite element method. Results indicate that the thermal properties show a substantial sensitivity to the observation scale, the variation of which decreases with the sample dimensions. By comparing in situ data and laboratory results, the values of average thermal conductivity and corresponding anisotropy ratio are lower than those at small scales, indicating that careful consideration should be given to the thermal properties to account for heterogeneity and anisotropy. In addition, four upscaling schemes based on the averaging method are discussed. This study sheds light on the gap between the laboratory results and the field’s inherent properties and provides guidelines for upscaling small-scale results to field-scale applications.

Flood-Resilient Smart Cities: A Data-Driven Risk Assessment Approach Based on Geographical Risks and Emergency Response Infrastructure

Flooding in urban areas is expected to become even more common due to climatic changes, putting pressure on cities to implement effective response measures. Practical mechanisms for assessing flood risk have become highly desired, but existing solutions have been devoted to evaluating only specific cities and consider only limited risk perspectives, constraining their general applicability. This article presents an innovative approach for assessing the flood risk of delimited urban areas by exploiting geospatial information from publicly available databases, providing a method that is applicable to any city in the world and requiring minimum configurations. A set of mathematical equations is defined for numerically assessing risk levels based on elevation, slope, and proximity to rivers, while the existence of emergency-related urban infrastructure is considered as a risk reduction factor. Then, computed risk levels are used to classify areas, allowing easy visualisation of flood risk for a city. This smart city approach not only serves as a valuable tool for assessing the expected flood risk based on different parameters but also facilitates the implementation of cutting-edge strategies to effectively mitigate critical situations, ultimately enhancing urban resilience to flood-related disaster.

Quantitative Comparison of Maximum Heat Release Rates of Thermoplastics in Open and Compartment Fire Environments

Consideration of appropriate fire scenarios in the simulations of the Fire Dynamics Simulator (FDS) for the fire-risk assessment of buildings is a critical factor in the development of prevention and response measures. The user dependence of the FDS input parameters can threaten the reliability of the fire-risk assessment. An experimental study was conducted to establish correlations for considering appropriate fire scenarios using polymethyl methacrylate. To examine the changes in the maximum-heat-release rates (HRRs) according to the combustion environment, nine burners varying in size at 25 mm intervals were burned in open and compartment environments. The results indicated that compared with the fire phenomenon in the open environment, the maximum HRR and fire growth rate of the compartment fire were increased by factors of 3–50. Additionally, the compartment fire phenomena could be classified into three stages according to the changes in the aforementioned two physical quantities. An analysis of the experimental results revealed a correlation for predicting the maximum HRR of a compartment fire with various ventilation conditions using only the experimental results for the open environment. The maximum HRR predicted through this correlation exhibited an error of &lt;15% relative to the values measured in the experiment.

Cause for coercion: cause for concern?

In his 2000 book, From Chaos to Coercion: Detention and the Control of Tuberculosis, Richard Coker makes a number of important observations and arguments regarding the use of coercive public health measures in response to infectious disease threats. In particular, Coker argues that we have a tendency to neglect public health threats and then demand immediate action, which can leave policymakers with fewer effective options and may require (or may be perceived as requiring) more aggressive, coercive measures to achieve public health goals. While Coker makes a convincing case as to why we should find it ethically problematic when governments find themselves in this position and resort to coercion, left outstanding is the question of whether this should preclude governments and health authorities from using coercion if and when they do find themselves in this position. In this paper, I argue that, while we should consider it ethically objectionable when governments resort to coercion because they have neglected a public health threat, its causes, and other possible responses to that threat, this should not then necessarily rule out the use of coercion in such circumstances; that there are ethically objectionable antecedents for why coercion is being considered should not necessarily or automatically cause us to think coercion in such cases cannot be justified. I address an objection to this argument and draw several conclusions about how governments' use of coercion in public health should be evaluated.

Six dilemmas for stakeholders inherently affecting data sharing during a zoonotic (re-)emerging infectious disease outbreak response

BackgroundTimely access to outbreak related data, particularly in the early events of a spillover, is important to support evidence based control measures in response to outbreaks of zoonotic Emerging Infectious Diseases (EID). Yet, this is impeded by several barriers that need to be understood to promote timely sharing of data. Using the MERS epidemic as a model for a zoonotic EID outbreak, this study sought to provide an in-depth understanding of data sharing practices.MethodsSemi-structured interviews with 25 experts were conducted, along with Focus Group Discussions with 15 additional experts. A root-cause analysis was performed to examine the causal relationships between barriers. Enablers were mapped to the root-cause analysis to understand their influence on the barriers. Finally, root causes were placed in context of core dilemmas identified from the qualitative analysis.FindingsEight barriers to data sharing were identified, related to collaboration, technical preparedness, regulations, and (conflict of) interests, and placed in the context of six dilemmas inherent to the multi-stakeholder collaboration required for a zoonotic outbreak response. Fourteen identified enablers showed the willingness of stakeholders to overcome or circumvent these barriers, but also indicated the inherent trial and error nature of implementing such enablers.InterpretationAddressing the barriers requires solutions that must consider the complexity and interconnectedness of the root causes underlying them, and should consider the distinct scopes and interests of the different stakeholders. Insights provided by this study can be used to encourage data sharing practices for future outbreaksFundingWellcome Trust and UK Aid; EU-H2020 Societal Challenges (grant agreement no. 643476), Nederlandse Organisatie voor Wetenschappelijk Onderzoek (VI.Veni.201S.044)