Response Plan Research Articles

Was priority setting considered in COVID-19 response planning? A global comparative analysis

BackgroundThe COVID-19 pandemic forced governments across the world to consider how to prioritize resource allocation. Most countries produced pandemic preparedness plans that guide and coordinate healthcare, including how to allocate scarce resources such as ventilators, human resources, and therapeutics. The objective of this study was to compare and contrast the extent to which established parameters for effective priority setting (PS) were incorporated into COVID-19 pandemic response planning in several countries around the world. MethodsWe used the Kapriri and Martin framework for effective priority setting and performed a quantitative descriptive analysis to explore whether and how countries’ type of health system, political, and economic contexts impacted the inclusion of those parameters in their COVID-19 pandemic plans. We analyzed 86 country plans across six regions of the World Health Organization. ResultsThe countries sampled represent 40% of nations in AFRO, 54.5% of EMRO, 45% of EURO, 46% of PAHO, 64% of SEARO, and 41% of WPRO. They also represent 39% of all HICs in the world, 39% of Upper-Middle, 54% of Lower-Middle, and 48% of LICs. No pattern in attention to parameters of PS emerged by WHO region or country income levels. The parameters: evidence of political will, stakeholder participation, and use of scientific evidence/ adoption of WHO recommendations were each found in over 80% of plans. We identified a description of a specific PS process in 7% of the plans; explicit criteria for PS in 36.5%; inclusion of publicity strategies in 65%; mention of mechanisms for appealing decisions or implementing procedures to improve internal accountability and reduce corruption in 20%; explicit reference to public values in 15%; and a description of means for enhancing compliance with the decisions in 5%. ConclusionThe findings provide a basis for policymakers to reflect on their prioritization plans and identify areas that need to be strengthened. Overall, there is little consideration for explicit prioritization processes and tools and restricted attention to equity considerations; this may be a starting point for policymakers interested in improving future preparedness and response planning. Although the study focused on the COVID-19 pandemic, priority setting remains one of the policymakers’ most prominent challenges. Policymakers should consider integrating systematic priority setting in their routine decision-making processes.

Healthcare workers’ knowledge, attitude and practices on infection prevention and control in the context of the COVID-19 pandemic at the Faranah regional hospital and associated healthcare centers, Guinea

BackgroundIn response to the COVID-19 pandemic, WHO launched a strategic preparedness and response plan, outlining public health measures to support countries worldwide. Healthcare workers have an increased risk of becoming infected and their behaviour regarding infection prevention and control (IPC) influences infection dynamics. IPC strategies are important across the globe, but even more in low-resource settings where capacities for testing and treatment are limited. Our study aimed to assess and implement COVID-19 pandemic preparedness and response measures in Faranah, Guinea, primarily focusing on healthcare workers’ IPC knowledge, attitude and practice (KAP).MethodsThe study was conducted between April 2020 and April 2021 assessing IPC pandemic preparedness and response measures such as healthcare workers’ KAP, alcohol-based handrub (ABHR) consumption and COVID-19 triaging in the Faranah Regional Hospital and two associated healthcare centres. The assessment was accompanied by IPC training and visual workplace reminders and done in pre- and post- phases to evaluate possible impact of these IPC activities.ResultsThe overall knowledge score in the Faranah Regional Hospital was 32.0 out of 44 at baseline, and did not change in the first, but increased significantly by 3.0 points in the second follow-up. The healthcare workers felt closer proximity to SARS-CoV-2 overtime in addition to higher stress levels in all study sites. There was significant improvement across the observed triaging practices. Hand hygiene compliance showed a significant increase across study sites leading to 80% in Faranah Regional Hospital and 63% in healthcare centers. The average consumption of ABHR per consultation was 3.29 mL with a peak in February 2020 of 23 mL.ConclusionDespite increased stress levels among HCWs, the ongoing IPC partnership well prepared the FRH in terms of triaging processes with a stronger impact on IPC practice than on theoretical knowledge. Throughout the pandemic, global shortages and surges in consumption did not affect the continuous ABHR provision of the FRH. This highlights local ABHR production as a key pandemic preparedness strategy.

Multispecialty resident physicians’ perceived preparedness for mass casualty events (MCEs) at an urban level I trauma center prior to the coronavirus disease 2019 (COVID-19) era

PurposeCoronavirus disease 2019 (COVID-19) has underscored how ill-prepared healthcare systems are for mass casualty events (MCEs,) especially as MCEs increase worldwide. We hypothesized that resident physicians (RPs) across multiple specialties are underprepared for MCE.MethodsTwo similar surveys were conducted to assess awareness of disaster plans (DPs) and individual’s roles and responsibilities therein. Initially, we surveyed exclusively trainees who are trauma team members (TTMs,) including physician assistants (PAs), residents from emergency medicine (EMRs) and general surgery (GSRs.) Subsequently, we surveyed multi-specialty RPs, except GSRs and EMRs, and their program directors/associate program directors (PDs/APDs.) RPs’ awareness, knowledge of, and confidence in hospital MCE response plans were assessed, and barriers encountered were queried. Data were consolidated except with respect to PDs/APDs, who were queried only in the second survey. The Fisher exact test for multiple-group comparisons was used. Alpha = 0.05.ResultsFor the first survey, the response rate was 74% (123/166), whereas 34% (129/380) responded to the second survey. Combined, the response rate was 46% (252/546.) Considering the RPs only for the two surveys combined, 103 (53%) respondents reported no awareness of institutional MCE response plans, 73% (n = 143) did not know/were unsure whether they were expected to contact someone, and 68% (n = 134) reported no formal MCE/disaster management (DM) training over the prior year. Additionally, the median response reported for level of knowledge of the MCE response plan among all RPs was “not at all,” with a significant difference observed between those aware of the plan and those who were not (p < 0.001). The median response reported for confidence level of RPs in MCE/DM training, excluding GSRs and EMRs (TTMs,) was “not at all,” with significant differences between surgical and non-surgical specialty RPs (p = 0.031), and between junior and senior RPs (p = 0.027). PDs/APDs (n = 12) reported “time” as the main barrier to implementation.ConclusionsRPs across all surveyed specialties reported low levels of knowledge and minimal training regarding MCE/DM. Incorporation of MCE/DM preparedness into residency training in all specialties involving direct patient care is essential. Curricular restructuring will be required for meaningful participation of RPs in MCEs.

Prioritizing Indicators for Rapid Response in Global Health Security: A Bayesian Network Approach

This study explored a Bayesian belief networks (BBNs) approach, developing two distinct models for prioritizing the seven indicators related to the “rapid response to and mitigation of the spread of an epidemic” category within the context of both the specific category and the Global Health Security Index (GHS index). Utilizing data from the 2021 GHS index, the methodology involves rigorous preprocessing, the application of the augmented naive Bayes algorithm for structural learning, and k-fold cross-validation. Key findings show unique perspectives in both BBN models. In the mutual value of information analysis, “linking public health and security authorities” emerged as the key predictor for the “rapid response to and mitigation of the spread of an epidemic” category, while “emergency preparedness and response planning” assumed precedence for the GHS index. Sensitivity analysis highlighted the critical role of “emergency preparedness and response planning” and “linking public health and security authorities” in extreme performance states, with “access to communications infrastructure” and “trade and travel restrictions” exhibiting varied significance. The BBN models exhibit high predictive accuracy, achieving 83.3% and 82.3% accuracy for extreme states in “rapid response to and mitigation of the spread of an epidemic” and the GHS index, respectively. This study contributes to the literature on GHS by modeling the dependencies among various indicators of the rapid response dimension of the GHS index and highlighting their relative importance based on the mutual value of information and sensitivity analyses.

Dynamic flood mapping by a normalized probabilistic classification method using satellite radar amplitude time series

ABSTRACT Owing to the vast development of Synthetic Aperture Radar (SAR), especially the improvement of spatio-temporal resolution, observing and quantifying the complex and dynamic flood process becomes increasingly feasible. Utilizing the Sentinel-1 Ground Range Detected (GRD) dataset, we proposed an improved probabilistic flood mapping method combining image Pareto Scaling (PS) normalization and Bayesian probability estimation. We validated our method during a flood event in Xinjiang County, Shaanxi Province of China in October 2021 using a high spatial resolution (0.1 m) Unmanned Aerial Vehicle (UAV) image. The overall reliability of the new method agrees 95% to the UAV measurements and achieves the highest accuracy (85.2%) when compared to the Sentinel-1 dual-polarized water index (SDWI) threshold method and the Z-score method. Our results distinguished four flood stages: flood emergence, peak, receding, and disappearance, which provide valuable insights into the dynamic change process of floods. Notably, we observed that pixels with different flood probabilities exhibited distinct temporal characteristics. The extremely high probability pixel experienced rapid fluctuations, while the medium probability pixel showed more gradual changes over time. We believe our proposed method can enhance our understanding of flood-prone areas and their dynamics so that decision-makers can develop targeted mitigation measures and response plans.

Patterns and Influencing Factors of Organisms and Sensitivity in Sputum at Sylhet

Background: Respiratory tract infections, especially pneumonia and tuberculosis, remain significant public health problems in Bangladesh. This information alone is critical to manage local pathogen distributions, antibiotic susceptibility, and response plans. Objectives: To evaluate the frequency of bacterial pathogens in sputum samples, test their antibacterial sensitivity, and relate them to various demographic factors among patients in Sylhet, Bangladesh. Methods: This cross-sectional study was carried out in the Chest Disease Clinic, Sylhet from January to June 2024.Sputum samples were taken from 120 patients diagnosed with lower respiratory tract infections. Colony and bacterial identification was done microbiologically, and antibiotic susceptibility was determined by using the Kirby-Bauer disk diffusion method. Results: The cocci were the most prevalent, with gram-positive bacteria constituting 75% of all isolates: Staphylococcus aureus 29. Co-amoxiclav had the highest sensitivity of 23 percent, while the highest resistance was recorded for linezolid at 50 percent. Tobacco use was described in 79. Overall, there was a significant association between TB-positive status and the isolation of Klebsiella pneumoniae (p = 0.032). Most participants were of lower SES, and this was observed in 59.32% of the study’s participants. Conclusions: This research found that gram-positive organisms are the most frequent cause of respiratory infections in Sylhet, with S. aureus being the most dominant isolate. The high tobacco use and the link to S. aureus colonization indicate that interventions could and should be targeted. Concerning antibiotic susceptibility patterns, the need to exercise reasonable use of antibiotics and constant monitoring of antimicrobial resistance cannot be overemphasized. These findings may help the local clinicians, help set up empirical antibacterial therapy, and facilitate the design of some targeted health interventions. Scholars Middle East Publishers Browse Journals Payments Publication Ethics SUBMIT ARTICLE

Human Resource Management in the Transformative Digital Era

Digitalization in human resource management helps companies to modernize HR functions and gives them a competitive edge. At the same time, it requires a change in work style and require changes in demand for HR competencies. Study this aims to introduce the phenomenon of digitalization in literature, explore its current benefits and key risks, and analyze the competencies and role of HR professionals. Innovative strategies that can be applied in human resource management (HRM) to enhance organizational performance in the digital era. With rapid changes in technology and the business environment, organizations need to develop innovative approaches in managing their human resources. This research method is a qualitative research method with a descriptive approach. This research operationally examines various sources of literature relevant to the context of the above research. The data taken, identified in the following order: (1) data collection (2) data sorting (3) data analysis (4) conclusion making. As for data analysis, there is a predetermined sequence in accordance with the empirical steps taken, namely as follows: (1) Examination of data (2) suspected data findings, (3) Data confirmation (4) Diagnosis, (5) Action. The results obtained show that HR professionals tend to be a little reluctant to adopt technology the. The results of this research confirm the importance of digitalization in recent years for human resources and increasing demand for digital skills. Every organization should develop its digital strategy to improve productivity. In the present scenario, DHRM is considered a more significant and growing research topic as well as an important topic for a business organization. With the use of DHR practice and through social media, the internet, AI, and other technology organization can maintain their performance and employees' quality standard for the smooth running of the organization. In exploring "Strategic Human Resource Planning in the Era of Digital Transformation" through the Systematic Literature Review method, this research reveals important findings. Technology integration, especially through artificial intelligence, big data analysis and technology platforms, is proven to be a deep foundation in responsive and adaptive HR planning in the era of digital transformation. The success of this planning also depends heavily on the involvement of key stakeholders, particularly upper management and business units, who contribute to the identification of skills relevant to technological change.

Gender dynamics in humanitarian leadership: navigating COVID-19 and beyond

This paper explores the intersection of the impacts of COVID-19 on women and girls in humanitarian settings with the necessity of incorporating female perspectives in decision-making roles within multilateral institutions delivering humanitarian aid. Women remain underrepresented in leadership positions in these multilateral institutions. However, increased female participation in leadership roles is linked to greater consideration of women’s needs in humanitarian response plans, thereby promoting gender-sensitive recovery efforts. Given COVID-19’s exacerbation of preexisting gender disparities in fragile settings, gender-responsive relief measures are crucial in humanitarian contexts. With the rising demand for humanitarian aid, prioritizing gender-sensitive and inclusive responses is essential for fostering an equitable and resilient post-COVID-19 future.

Analysis of problems and countermeasures in computer network engineering security

This paper analyzes the existing security issues in computer network engineering and proposes a series of countermeasures. To address the problems of hacker attacks and information leakage, it is recommended to strengthen network monitoring and the application of encryption technology. For the issues of malware and virus dissemination, it is advised to regularly update antivirus software and enhance employee security awareness training. Regarding network data leakage and privacy breaches, the use of secure transmission protocols and multi-factor authentication technology is advocated. For network security management and maintenance issues, establishing a sound security management system and emergency response plans is recommended to ensure the stable operation of network systems. Through the implementation of the above measures, the security level of computer network engineering can be effectively improved, ensuring the normal operation of network systems and the security of information.

Employee and Management Preparedness in Facing Fire Disasters at Public Fuel Filling Stations in Pinrang District

Objective: The purpose of this study was to determine the preparedness of employees and management in dealing with fires at Public Fuel Filling Stations in Pinrang District. Theoretical Framework: In this topic, the main concepts and theories that underpin the research are presented. Disaster experiences influence a person's preparedness according to the theory of Havwina (2016) and Sadeka (2020), Experience in the past will have an influence on behavior in the future, so that it becomes a learning. Method: The method used is mixed methods, which is a research step by combining two pre-existing forms of research, namely qualitative research and quantitative research. This study involved 121 respondents using purposive sampling techniques, of which 112 respondents filled out the employee preparedness questionnaire and 9 respondents as informants to assess management preparedness. Variables were measured using a questionnaire and indept interview. Results and Discussion: The results showed that there was a significant relationship between disaster experience and emergency response plan, early warning system, resource mobilization and employee preparedness. The results also showed that there was no significant relationship between disaster experience and knowledge. In addition, disaster experience also affects management preparedness. The findings of this study support that disaster experience affects employee and management preparedness.. Research Implications: The practical and theoretical implications of this research are discussed, providing insight into how the results may be applied or influence practice in the field of occupational safety and health. These implications may include public fuel station workers who have highly fire-prone workplaces. Originality/Value: This research can contribute to improving occupational health and safety which can have an impact on preparedness of employees and management. The results of this study can help employees and management by educating them about the elements that can cause a decrease in performance elements that can improve preparedness in the face of fire hazards that may occur in the future.

Learning from an experience, challenges and approaches in the workplace during COVID-19 pandemic: a content analysis of international documents

BackgroundThis study aims to investigate international measures for pandemic control in the workplace based on guidelines from international organizations to learn from their experiences.MethodsWe conducted a qualitative study using content analysis. The search method involved reviewing published guidelines on preventing and responding to the COVID-19 pandemic in workplaces. After the screening process, ten guidelines were included in the content analysis. During the analysis, 200 meaning codes, 49 subcategories, and eleven categories were identified. Trustworthiness criteria were utilized to ensure the accuracy and strength of the findings.ResultsEleven categories of international content during the COVID-19 pandemic were legal requirements and duties of employees and employers, structural and program changes, risk assessment, risk communication, information and training, internal and external consultation and cooperation, provision of facilities and tools for workplace hygiene, special conditions, special groups, closing and reopening workplaces, reducing contact and exposure and mental health.ConclusionsProtecting employees during a pandemic requires a multifaceted approach and strong advocacy. The operational plan for pandemic control should be developed based on the level of risk, with support tailored to employees’ conditions and needs. Cooperation among international organizations is essential to develop a standardized plan and issue comprehensive guidelines in response to health emergencies with a global perspective and local implementation, drawing from the lessons learned during the COVID-19 pandemic.

A hierarchical optimization approach to maximize hosting capacity for electric vehicles and renewable energy sources through demand response and transmission expansion planning

Within the scope of sustainable development, integrating electric vehicles (EVs) and renewable energy sources (RESs) into power grids offers a number of benefits. These include reducing greenhouse gas emissions, diversifying energy sources, and promoting the use of green energy. Although the literature on hosting capacity (HC) models has grown, there is still a noticeable gap in the discussion of models that successfully handle transmission expansion planning (TEP), demand response (DR), and HC objectives simultaneously. Combining TEP, DR, and HC objectives in one model optimizes resource use, enhances grid stability, supports renewable and EV integration, and aligns with regulatory and market demands, resulting in a more efficient, reliable, and sustainable power system. This research presents an innovative two-layer HC model, including considerations for TEP and DR. The model determines the highest degree of load shifting appropriate for incorporation into power networks in the first layer. Meanwhile, the second layer focuses on augmenting the RES and EVs’ hosting capability and modernizing the network infrastructure. System operators can choose the best scenario to increase the penetration level of EVs and RESs with the aid of the proposed model. The proposed model, which is formulated as a multi-objective mixed-integer nonlinear optimization problem, uses a hierarchical optimization technique to identify effective solutions by combining the particle swarm optimization algorithm and the crayfish optimizer. When compared to traditional methods, the results obtained from implementing the proposed hierarchical optimization algorithm on the Garver network and the IEEE 24-bus system indicated how effective it is at solving the presented HC model. The case studies demonstrated that integrating DR into the HC problem reduced peak load by 10.4–23.25%. The findings also highlighted that DR did not impact the total energy consumed by EVs throughout the day, but it did reshape the timing of EV charging, creating more opportunities for integration during periods of high demand. Implementing DR reduced the number of projects needed and, in some cases, led to cost savings of up to 12.3%.

Canada's approach to SARS-CoV-2 sero-surveillance: Lessons learned for routine surveillance and future pandemics.

In Canada's federated healthcare system, 13 provincial and territorial jurisdictions have independent responsibility to collect data to inform health policies. During the COVID-19 pandemic (2020-2023), national and regional sero-surveys mostly drew upon existing infrastructure to quickly test specimens and collect data but required cross-jurisdiction coordination and communication. There were 4 national and 7 regional general population SARS-CoV-2 sero-surveys. Survey methodologies varied by participant selection approaches, assay choices, and reporting structures. We analyzed Canadian pandemic sero-surveillance initiatives to identify key learnings to inform future pandemic planning. Over a million samples were tested for SARS-CoV-2 antibodies from 2020 to 2023 but siloed in 11 distinct datasets. Most national sero-surveys had insufficient sample size to estimate regional prevalence; differences in methodology hampered cross-regional comparisons of regional sero-surveys. Only four sero-surveys included questionnaires. Sero-surveys were not directly comparable due to different assays, sampling methodologies, and time-frames. Linkage to health records occurred in three provinces only. Dried blood spots permitted sample collection in remote populations and during stay-at-home orders. To provide timely, high-quality information for public health decision-making, routine sero-surveillance systems must be adaptable, flexible, and scalable. National capability planning should include consortiums for assay design and validation, defined mechanisms to improve test capacity, base documents for data linkage and material transfer across jurisdictions, and mechanisms for real-time communication of data. Lessons learned will inform incorporation of a robust sero-survey program into routine surveillance with strategic sampling and capacity to adapt and scale rapidly as a part of a comprehensive national pandemic response plan.

Estimation of the Hazardous Chemical Leakage Scale Inside Buildings Using CFD

Increased industrialization and aging infrastructure have resulted in leaks of hazardous chemicals, such as CO. Leak modeling is crucial to developing emergency response strategies. Therefore, we simulated the time to criticality (TTC), which is the time to reach the threshold limit for occupational exposure, of a CO leak. The basis of the study is a fire dynamics simulator, a computational fluid dynamics model that was used to investigate the movement of CO in various scenarios, including using different building layouts and areas, temperatures, and leak diameters. Multiple regression analysis was performed to obtain regression equations for the TTC as a function of the independent variables. Ultimately, we found that the type of dispersion varies with respect to the temperature-dependent density of CO, and, among the independent variables, the leak diameter had the strongest effect on the TTC. The regression equations with logarithmic conversion were validated and found to have higher accuracy than those without logarithmic conversion. The findings provide useful information for developing emergency response plans regarding leak size in the case of hazardous chemical leakage. However, empirical studies of different gas types and leakage scenarios are required.

Knowledge and flood management behavior of the older people and their families at the selected flood-prone villages in East Jakarta

Older people are identified as a vulnerable group in disaster. There should be more focus on their capacities and needs. Yet, there are limited studies on flood knowledge, family support, and emergency response plans affecting older people's flood-management practices. The study aimed to examine the correlation between sociodemographic characteristics; knowledge of Disasters Resilience Family Program (KATANA), disasters, and floods; family support; and the emergency response plans in flood management. This study employed a quantitative approach and utilized a cross-sectional research design. It involved 105 participants selected using simple random sampling. The study found that (1) knowledge of KATANA, disasters, and floods remained relatively low; (2) older persons' practices before floods differed by age and gender, and practices after a flood varied by employment status; (3) family support for older people facing a flood was relatively poor; (4) emergency response plan vary based on education, gender, marital status, and family type; (5) older people with good knowledge of KATANA, disasters, and floods were 5.79 times more likely to be well-practiced in flood management than those who had not (OR = 5.79, p = 0.000). These findings suggest increasing older peoples' knowledge of KATANA, disasters, and floods through disaster-preparedness training and simulating government and civil society mitigation efforts to strengthen older individuals' disaster resilience. At the governmental level, detailed, comprehensive, and realistic actions in disaster management, especially targeted at older people, should be put in the New Disasters Rules for 2024 by the Indonesian National Disasters Management Agency.

Will the Olympic flame spark dengue outbreaks during the Paris 2024 summer Olympic and Paralympic games?

The risk of dengue emergence in France this summer is likely and must be considered in preparedness planning. The risk could arise from international visitors but also French travellers returning from epidemic areas. The French preparedness and response plan and the importance of international surveillance after the Olympics are highlighted.

Analysis of an Academic Medical Center’s Corrective Action Plan in Response to Fatal Medication Error Using the Institute for Safe Medication Practices’ Hierarchy of Effectiveness

Neuromuscular blocking agents (NMBAs) are high-alert medications that require special handling, necessitating a robust process that prevents medication error, identifies near misses, and ultimately protects patients from harm. One patient at a large academic medical center (AMC) was given vecuronium, a neuromuscular blocking agent, instead of midazolam, and died as a result. Thus, AMC was tasked by the Centers for Medicare &amp; Medicaid Services (CMS) to make a list of actions to prevent a subsequent incident. When assessing AMC’s corrective action plan in comparison to the Institute for Safe Medication Practices’ hierarchy of effectiveness of risk-reduction strategies, it was revealed that 76% of strategies were of low leverage, 16% were of medium leverage, and 8% were of high leverage. In this context, AMC’s corrective action plan should have integrated more system-based interventions, which include medium- or high-leverage strategies, rather than relying heavily on initiatives dependent on human action. Despite the lack of these systemic tools, CMS granted approval for the plan. Overlooking these systemic tools may amplify patient harm and negatively impact workforce satisfaction and efficiency. Moreover, the absence of a “just culture” also plays a role in patient harm. Therefore, recognizing that medication errors in healthcare are predominantly attributed to human error highlights the importance of fostering a just culture that advocates for system accountability to enhance patient safety.

COVID-19 trends across borders: Identifying correlations among countries.

To enhance the accuracy of forecasting future coronavirus disease 2019 (COVID-19) cases and trends by identifying and analyzing correlations between the daily case counts of different countries reported between January 2020 and January 2023, to uncover significant links in COVID-19 patterns between nations, allowing for real-time, precise predictions of disease spread based on observed trends in correlated countries. Daily COVID-19 cases for each country were tracked between January 2020 and January 2023 to identify correlations between nations. Current case data were obtained from reliable sources, such as Johns Hopkins University and the World Health Organization. Data were analyzed in Microsoft Excel using Pearson's correlation coefficient to assess the strength of connections. Strong correlations (r > 0.80) were revealed between the daily reported COVID-19 case counts of numerous countries across various continents. Specifically, 62 nations showed significant correlations with at least one correlated (connected) country per nation. These correlations indicate a similarity in COVID-19 trends over the past 3 or more years. This study addresses the gap in country-specific correlations within COVID-19 forecasting methodologies. The proposed method offers essential real-time insights to aid effective government and organizational planning in response to the pandemic.

A Complex Interplay: Navigating the Crossroads of Tobacco Use, Cardiovascular Disease, and the COVID-19 Pandemic: A WHF Policy Brief.

The Coronavirus Disease 2019, commonly referred to as COVID-19, is responsible for one of the deadliest pandemics in human history. The direct, indirect and lasting repercussions of the COVID-19 pandemic on individuals and public health, as well as health systems can still be observed, even today. In the midst of the initial chaos, the role of tobacco as a prognostic factor for unfavourable COVID-19 outcomes was largely neglected. As of 2023, numerous studies have confirmed that use of tobacco, a leading risk factor for cardiovascular and other diseases, is strongly associated with increased risks of severe COVID-19 complications (e.g., hospitalisation, ICU admission, need for mechanical ventilation, long COVID, etc.) and deaths from COVID-19. In addition, evidence suggests that COVID-19 directly affects multiple organs beyond the respiratory system, disproportionately impacting individuals with comorbidities. Notably, people living with cardiovascular disease are more prone to experiencing worse outcomes, as COVID-19 often inherently manifests as thrombotic cardiovascular complications. As such, the triad of tobacco, COVID-19 and cardiovascular disease constitutes a dangerous cocktail. The lockdowns and social distancing measures imposed by governments have also had adverse effects on our lifestyles (e.g., shifts in diets, physical activity, tobacco consumption patterns, etc.) and mental well-being, all of which affect cardiovascular health. In particular, vulnerable populations are especially susceptible to tobacco use, cardiovascular disease and the psychological fallout from the pandemic. Therefore, national pandemic responses need to consider health equity as well as the social determinants of health. The pandemic has also had catastrophic impacts on many health systems, bringing some to the brink of collapse. As a result, many health services, such as services for cardiovascular disease or tobacco cessation, were severely disrupted due to fears of transmission and redirection of resources for COVID-19 care. Unfortunately, the return to pre-pandemic levels of cardiovascular disease care activity has stagnated. Nevertheless, digital solutions, such as telemedicine and apps, have flourished, and may help reduce the gaps. Advancing tobacco control was especially challenging due to interference from the tobacco industry. The industry exploited lingering uncertainties to propagate misleading information on tobacco and COVID-19 in order to promote its products. Regrettably, the links between tobacco use and risk of SARS-CoV-2 infection remain inconclusive. However, a robust body of evidence has, since then, demonstrated that tobacco use is associated with more severe COVID-19 illness and complications. Additionally, the tobacco industry also repeatedly attempted to forge partnerships with governments under the guise of corporate social responsibility. The implementation of the WHO Framework Convention on Tobacco Control could address many of the aforementioned challenges and alleviate the burden of tobacco, COVID-19, and cardiovascular disease. In particular, the implementation of Article 5.3 could protect public health policies from the vested interests of the industry. The world can learn from the COVID-19 pandemic to better prepare for future health emergencies of international concern. In light of the impact of tobacco on the COVID-19 pandemic, it is imperative that tobacco control remains a central component in pandemic preparedness and response plans.

Comparison of Perimeter Delineation Methods for Remote Sensing Fire Spot Data in Near/Ultra-Real-Time Applications

Forest fires cause extensive damage to ecosystems, biodiversity, and human property, posing significant challenges for emergency response and resource management. The accurate and timely delineation of forest fire perimeters is crucial for mitigating these impacts. In this study, methods for delineating forest fire perimeters using near-real-time (NRT) remote sensing data are evaluated. Specifically, the performance of various algorithms—buffer, concave, convex, and combination methods—using VIIRS and MODIS datasets is assessed. It was found that increasing concave α values improves the matching percentage with reference areas but also increases the commission error (CE), indicating overestimation. The results demonstrate that combination methods generally achieve higher matching percentages, but also higher CEs. These findings highlight the trade-off between improved perimeter accuracy and the risk of overestimation. The insights gained are significant for optimizing sensor data alignment techniques, thereby enhancing rapid response, resource allocation, and evacuation planning in fire management. This research is the first to employ multiple algorithms in both individual and synergistic approaches with NRT or ultra-real-time (URT) active fire data, providing a critical foundation for future studies aimed at improving the accuracy and timeliness of forest fire perimeter assessments. Such advancements are essential for effective disaster management and mitigation strategies.