Comprehensive Response Research Articles

Trends in HIV/AIDS-Related Mortality and the Impact of Antiretroviral Treatment Strategies in Lu'an City: A Comprehensive Analysis.

BACKGROUND There are many factors that affect human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS)-related deaths, and different antiretroviral therapy (ART) strategies may affect HIV/AIDS-related fatality rates. However, studies on this area are very limited. This study aimed to evaluate the factors associated with HIV/AIDS-related mortality and the impact of different ART strategies in Lu'an City, Anhui Province, China, 1999-2023. MATERIAL AND METHODS Data of HIV/AIDS cases were downloaded from the China HIV/AIDS Comprehensive Response Information Management System, and were assessed to evaluate the impact of different ART strategies on the related fatality rate using interrupted time series (ITS). RESULTS We found that age at diagnosis of 15 years, 25 years, 40 years, and 60 years, as well as receiving ART, were protective factors against death (with P below 0.05), while lower CD4 count at the last CD4 count and the year of diagnosis before 2007 and between 2007 and 2016 were risk factors (with P below 0.05). ITS analysis revealed that in the year of the introduction of free ART in 2006, the fatality rate decreased by 38.60% (P=0.015). The fatality rate trend from 2006 to 2015 was -1.1%, which was not statistically significant (P=0.434). The fatality rate trend from 2016 to 2023 was -0.33%, indicating a decreasing trend (P=0.000). CONCLUSIONS Children under 15 years old and elderly patients had a higher risk of death. The main reasons for the decrease in HIV/AIDS-related fatality rate were ART, especially the "early treatment" strategy.

Demand Response Power-Gas Interconnection Energy System and Power Metering Based on SOGA

Under the double background of global energy crisis and environmental pollution, China vigorously develops renewable energy while accelerating the construction of energy Internet. Taking demand response into account, this paper proposes the optimal design of power-gas interconnection energy system and power metering, and establishes the optimization research model of IEGES (integrated electricity-gas energy system) with demand response. Firstly, the structure model of the electric-gas interconnection energy system with CHP (Cogeneration, combined heat and power) as the core is constructed, and the energy conversion relationship and different energy flow directions of the coupling equipment are expounded from three aspects. The natural gas source point, pipeline equation, power side branch equation, voltage and current equation are modeled and sorted out, and the square term in the equation is linearized by second-order cone programming method, and the mixed integer nonlinear programming problem is transformed into mixed integer linear programming problem. A single objective genetic algorithm with “elite strategy” was selected to solve the equipment capacity optimization problem of IEGES system with system economy as the optimization objective. After a long time of parameter combination attempts, the current population size is 30, the number of iterations is 600, the crossover rate is 0.8, and the heritability is 0.3. The above parameters can obtain better convergence results on the basis of considering the operation time. Finally, a stochastic optimization method of energy Internet considering integrated demand response and uncertainty of wind power is proposed, which aims to meet the energy demand of end users while minimizing the operating cost of the system. The comprehensive demand response strategy including internal and external demand response is considered in the model. Internal demand response is realized by adjusting the internal operation mode of EH, while external demand response is implemented by the end user’s active response, and the load is time-shifted or interrupted under the guidance of external signals.

Analyzing single-action bias in dynamic climate change environments: insights from feedback and probability

“Single action bias” (SAB) characterizes individuals’ inclination to undertake only one preventive measure against climate change, disregarding potentially more effective alternatives. This bias poses a significant obstacle to comprehensive responses to climate change. While dynamic climate simulators have been developed to raise awareness of climate change and encourage pro-environmental behaviors, the prevalence of SAB within these tools remains unexplored. This study introduces the “Single Action Bias-Interactive Climate Change Simulator” (SAB-ICCS) to investigate SAB’s manifestation in dynamic scenarios. Utilizing the framework of the Interactive Climate Change Simulator (ICCS), known for its efficacy in fostering pro-environmental actions, the SAB-ICCS explores how feedback, probability, and their interplay influence SAB prevalence during climate mitigation and adaptation decision-making. A total of 160 participants were randomly assigned to four conditions in the SAB-ICCS, varying feedback presence and climate change probability. Participants engaged in climate mitigation and adaptation actions, simulating the repercussions of climate change through investment choices in climate mitigation and adaptation (consisting of three insurance plans). The study’s dependent variables were the participants’ actions towards climate mitigation and adaptation. Results revealed a substantial prevalence of single action proportion (42%) compared to other action proportions. Furthermore, the total monetary investment was significantly higher when taking optimal actions than when exhibiting SAB. Moreover, a higher probability of climate change resulted in a higher prevalence of SAB (49%) than a lower probability (35%). Interestingly, feedback availability did not significantly impact SAB prevalence. Though both feedback and the probability of climate change influenced how participants exhibited SAB, and the absolute monetary investment was also significantly affected. This research enhances our comprehension of SAB within educational climate simulations, which is vital for informing climate education and policymaking. It offers insights for policymakers and educators to develop interventions addressing SAB, enhancing climate action strategies by understanding probability and feedback influences.

Digital shadows: confronting the rise of technology-facilitated sexual violence and the quest for systemic solutions

ABSTRACT This article explores Technology Facilitated Sexual Violence (TFSV), a rising issue in the digital era. TFSV encompasses online harassment, cyberstalking, and image-based exploitation via digital technologies. Unlike previous studies focusing on youth, this one includes adults. Surveys in Australia and the U.S. show TFSV’s high occurrence in adults. Using a qualitative method, the study involves legal and mental health experts to discuss TFSV’s effects, challenges, and solutions. Findings indicate frequent use of social media for abuse, causing victims significant mental distress like fear and trauma. The study points out the gap between fast-paced technological growth and the slower response of legal systems, resulting in ill-prepared professionals for handling digital abuse. It urges immediate, multi-pronged action against TFSV, including training for legal and law enforcement, education for practitioners and victims, and cross-sector collaboration. The article emphasizes the necessity of a better, comprehensive response to TFSV, advocating for an informed and inclusive approach in addressing digital sexual violence.

Exploring Child Grooming Sexual Abuse through Differential Association Theory: A Criminological and Legal Examination with Constitutional Implications

The rapid evolution of technology, particularly the ubiquitous presence of the internet, has brought about significant societal changes. While technological advancements have brought numerous benefits, they have also introduced new challenges and risks. Among these challenges is the alarming rise of child grooming, a form of sexual harassment perpetrated against minors, facilitated by the online environment. In Indonesia, the incidence of child grooming is increasingly prevalent, with several reported cases highlighting its emergence as a pressing societal issue. However, the absence of specific legal frameworks addressing this crime has posed significant challenges for law enforcement authorities tasked with its prevention and prosecution. The lack of dedicated legislation targeting child grooming underscores the need for a comprehensive legal response to effectively combat this form of exploitation. Currently, law enforcement officials rely on discretion in the absence of specific legal provisions, resulting in ad-hoc approaches to addressing these cases. This paper employs a normative juridical approach, utilizing The Statute Approach, to examine the legal landscape surrounding child grooming in Indonesia. By synthesizing existing literature and statutory regulations, this study aims to shed light on the legal complexities inherent in combating this emerging crime. In conclusion, while child grooming remains a relatively new phenomenon in Indonesia, its detrimental impact on minors necessitates urgent legislative action. By enacting dedicated laws and policies, the Indonesian government can provide law enforcement agencies with the necessary tools to effectively address and mitigate the prevalence of child grooming, ensuring the protection and well-being of the nation's youth.

Tracing Shifting Host Country Problematization(s) of Transnational Repression: The Evolution of Swedish Efforts to Counter “Refugee Espionage”

ABSTRACT Not least since the brutal killing of Saudi journalist and regime-critic Jamal Khashoggi in the Saudi embassy in Istanbul in late 2018 has the question of transnational repression emerged on the agendas of human rights activists, policy makers, and scholars of migration and authoritarianism. Such practices are commonly conceptualized as a dyadic interaction between repressor and repressed. However, on closer inspection, the dyad is, in fact, a triad. Relatively few studies account for or explore the context in which such acts of transnational repression occur: the countries of residence in which targets and victims reside. Taking inspiration from the problematization framework, this article deepens our understanding of the complex and multifaceted ways in which Sweden, a country often lauded for its comprehensive approach and response to transnational repression, has constructed “refugee espionage” as a challenge not only for law enforcement and intelligence agencies but also, Swedish bilateral relations and sovereignty. Through an in-depth analysis of 21 annual reports published by the Swedish Security Service (SÄPO), the article shows how the conceptualization and problematization of the issue has – often in response to particular incidents – become both broader and wider over time.

QAPI 113 - A Comprehensive infection control response to a norovirus outbreak on an adult inpatient hematologic oncology and clinical trials unit

QAPI 113 - A Comprehensive infection control response to a norovirus outbreak on an adult inpatient hematologic oncology and clinical trials unit

Robust optimization scheduling of microgrid considering a tiered carbon trading mechanism and flexible loads

Abstract Considering the comprehensive demand response, stepwise carbon trading, and uncertainty of wind power output for cogeneration microgrids, relevant optimization scheduling research will be carried out. The electric heating load is divided into non-dispatchable electric heating load and dispatchable electric heating load. By introducing electric heating demand and tiered carbon trading, the economic and low-carbon operation of microgrids can be achieved. The fluctuation of the output of new energy units is reflected using probability scenario sets in statistics, and a robust optimization model with related distributions is constructed using the C&CG algorithm to calculate and solve the established model. The simulation and comparison of numerical examples show that the microgrid energy management scheme formulated by the model established in this paper has good economic and environmental friendliness, and it also simultaneously validated the superiority of distributed robust optimization methods over traditional optimization methods

Intrusion Detection System Using Probabilistic Adaptive Learning

Abstract: Machine learning and deep learning techniques are widely used to evaluate intrusion detection systems (IDS) capable of rapidly and automatically recognizing and classifying cyber-attacks on networks and hosts. However, when destructive attacks are becoming more extensive, more challenges develop, needing a comprehensive response. Numerous intrusion detection datasets are publicly accessible for further analysis by the cybersecurity research community. The Intrusion Detection System (IDS) is an effective tool utilized in cybersecurity systems to detect and identify intrusion attacks. With the increasing volume of data generation, the possibility of various forms of intrusion attacks also increases. Feature selection is crucial and often necessary enhance performance. The structure of the dataset can impact the efficiency of the machine learning model. Furthermore, data imbalance can pose a problem, but sampling approaches can help mitigate it. With technological advancements, machine learning-based methods have emerged as the cornerstone of modern intrusion detection, enabling more precise identification of abnormal behaviors and potential intrusions by learning the patterns of normal network traffic. In response to these challenges, this paper introduces an innovative intrusion detection model that amalgamates the Probabilistic Adaptiv eLearning Network architecture.

Using Google web search to analyze and evaluate the application of ChatGPT in femoroacetabular impingement syndrome.

Chat Generative Pre-trained Transformer (ChatGPT) is a new machine learning tool that allows patients to access health information online, specifically compared to Google, the most commonly used search engine in the United States. Patients can use ChatGPT to better understand medical issues. This study compared the two search engines based on: (i) frequently asked questions (FAQs) about Femoroacetabular Impingement Syndrome (FAI), (ii) the corresponding answers to these FAQs, and (iii) the most FAQs yielding a numerical response. To assess the suitability of ChatGPT as an online health information resource for patients by replicating their internet searches. Cross-sectional study. The same keywords were used to search the 10 most common questions about FAI on both Google and ChatGPT. The responses from both search engines were recorded and analyzed. Of the 20 questions, 8 (40%) were similar. Among the 10 questions searched on Google, 7 were provided by a medical practice. For numerical questions, there was a notable difference in answers between Google and ChatGPT for 3 out of the top 5 most common questions (60%). Expert evaluation indicated that 67.5% of experts were satisfied or highly satisfied with the accuracy of ChatGPT's descriptions of both conservative and surgical treatment options for FAI. Additionally, 62.5% of experts were satisfied or highly satisfied with the safety of the information provided. Regarding the etiology of FAI, including cam and pincer impingements, 52.5% of experts expressed satisfaction or high satisfaction with ChatGPT's explanations. Overall, 62.5% of experts affirmed that ChatGPT could serve effectively as a reliable medical resource for initial information retrieval. This study confirms that ChatGPT, despite being a new tool, shows significant potential as a supplementary resource for health information on FAI. Expert evaluations commend its capacity to provide accurate and comprehensive responses, valued by medical professionals for relevance and safety. Nonetheless, continuous improvements in its medical content's depth and precision are recommended for ongoing reliability. While ChatGPT offers a promising alternative to traditional search engines, meticulous validation is imperative before it can be fully embraced as a trusted medical resource.

The association of circulating systemic inflammation with premature death and the protective role of the Mediterranean diet: a large prospective cohort study of UK biobank

BackgroundAlthough previous studies have identified specific circulating inflammatory markers associated with the risk of mortality, they have often overlooked the broader impact of a comprehensive inflammatory response on health outcomes. This study aims to assess the association between circulating systemic inflammation and age-related hospitalization and premature death, as well as explore the potential mediating effects of various dietary patterns on these associations.MethodsA total of 448,574 participants enrolled in the UK Biobank study were included. Circulating C-reactive protein(CRP), white blood cell count(WBC), platelet count(Plt), and neutrophil/lymphocyte ratio(NLR) were measured, which were used to establish a weighted systemic inflammatory index of inflammation index(INFLA-Score). Dietary intake information was documented through 24-hour dietary recalls, and dietary pattern scores including Dietary Approaches to Stop Hypertension(DASH), Mediterranean(MED), and Healthy Eating Index-2020(HEI-2020) were calculated. Cox proportional hazards regression models were performed to assess the associations between INFLA-Score and age-related disease hospitalization, cause-specific and all-cause premature death.ResultsDuring a median follow-up of 12.65 years, 23,784 premature deaths were documented. After adjusting for multiple covariates, higher levels of CRP, WBC, NLR, and INFLA-Score were significantly associated with increased risks of age-related disease hospitalization(HRCRP=1.19; 95%:1.17–1.21; HRWBC=1.17; 95%:1.15–1.19; HRNLR=1.18; 95%:1.16–1.20; HRINFLA−Score=1.19; 95%:1.17–1.21) and premature death(HRCRP=1.68; 95%:1.61–1.75; HRWBC=1.23; 95%:1.18–1.27; HRNLR=1.45; 95%:1.40–1.50; HRINFLA−Score=1.58; 95%:1.52–1.64). Compared to the lowest INFLA-Score group, the highest INFLA-Score group was associated with increased values of whole-body and organ-specific biological age, and had a shortened life expectancy of 2.96 (95% CI 2.53–3.41) and 4.14 (95% CI 3.75–4.56) years at the age of 60 years in women and men, respectively. Additionally, we observed no significant association of the INFLA-Score with aging-related hospitalization and premature death among participants who were more adhering to the Mediterranean (MED) dietary pattern(HRAging−related hospitalization=1.07; 95%:0.99–1.16;HRPremature death=1.19; 95%:0.96–1.47).ConclusionA higher INFLA-Score was correlated with an increased risk of age-related hospitalization and premature death. Nevertheless, adherence to a Mediterranean (MED) diet may mitigate these associations.

INTERNATIONAL ANTI-CORRUPTION STANDARDS IN THE PRIVATE SPHERE

The article examines the international legal basis for combating corruption of a universal and regional nature, which is recognized by standards and contains norms for preventing this offense in the private sphere. In particular, attention is paid to the provisions of the only universal international treaty - the UN Convention against Corruption (UNCAC), in which the norms for combating corruption in the private sector were established. It is noted that the provisions of the UNCAC became the basis for the development of a comprehensive response to the global problem. The provisions of the treaties (The Criminal Law Convention on Corruption (ETS 173), Additional Protocol to the Convention (ETS 191), Council of Europe Criminal Law Convention on Corruption (ETS 174)) and advisory norms adopted within the framework of the Council of Europe on countering corruption. It is emphasized that the approach of this organization to the fight against corruption has three interrelated aspects: development of pan-European norms and standards, monitoring of their compliance, as well as provision of technical assistance to states and regions. The focus is on the anti-corruption norms of the European Union (Treaty on the Functioning of the European Union, directives, sectoral norms, etc.) and the policy of the Union regarding the reform of existing legal prescriptions and relevant measures in this area. It is noted that a feature of EU acts is the emphasis on the role of the private sector as a partner in the fight against corruption. An analysis of the legal instruments of the Organization for Economic Cooperation and Development (OECD) on combating corruption, bribery and promoting integrity in the public and private sectors was carried out, and it was emphasized that the OECD is the main source of recommendations and guidelines in the field of business integrity. Practical materials, the purpose of which is to provide assistance to member states of the organization in implementing the provisions of treaty norms in the field of responsible business behavior of business entities, are also significant. Appropriate conclusions have been made.

The Contrasts between Traditional and Modern Diplomacy

Throughout history, diplomacy has been served as a means of creating and managing connections between nations, addressing requirements, and resolving a range of political, economic, social, and cultural issues. It is an axiom that the organization and establishment of states in ancient times differed from the structure of contemporary states. Hence, the nature of their interactions, diplomatic strategies and the appointment of representatives and their roles in foreign countries are entirely distinct from those of the past time. In the past, state diplomacy was temporary, confidential, conducted between two parties, and solely aimed at resolving political issues. Following the Treaty of Westphalia and the subsequent formation of the nation-state system, diplomacy has evolved into its contemporary form. This transformation has been influenced by the advent of modern technology and the proliferation of information and communication tools, which have significantly impacted various facets of human life at both national and international levels. Consequently, there has been a fundamental shift in the nature, scope, participants, objectives, influential factors, and operational mechanisms of diplomacy and diplomatic interactions among nations. This study aims to examine the topic of political science, with a specific focus on international relations professionals. It seeks to explore the distinctions between historical and contemporary diplomacy and to provide a comprehensive and effective response to this inquiry.

The Trajectory of International and National Anti‐Terrorism Laws: An Appraisal of Counter‐terrorism Legislation in Kurdistan, Iraq

ABSTRACTTerrorism is not a new phenomenon. Nevertheless, since September 11, 2001, it appears that there has been a global consensus on the need for a more uniform and comprehensive response to terrorism. Thus, countries develop their counter‐terrorism strategy that comprises different approaches, including using the criminal justice system. The criminal justice response to terrorism covers special legislation, strategies, policies, investigation, prosecution, and sentencing. To combat terrorism and improve the criminal justice system in response to existing threats of terrorism, KRI legislated a special anti‐terrorism law. This paper investigates the trajectory of international and national terrorism law in the Kurdistan Region of Iraq (KRI). Accordingly, this research was set to examine international and national terrorism law critically. The focus is placed on the Anti‐terrorism Act No. 3 of 2006, emphasizing the principle of legality. As such, this paper adopted the doctrinal legal methodology that utilized qualitative techniques in analyzing the secondary data. The gathered information and data were then analyzed thematically. Based on the legal analysis, this study found that local circumstances and international pressure influence the trajectory of the counter‐terrorism laws in KRI. The absence of uniformity in the definition indicates the complexity of conceptualizing the phenomenon. The KRI anti‐terrorism law did not define international terrorism and may affect the principle of legality in counter‐terrorism strategy. Consequently, the study will benefit law, security, and international relations researchers. It serves as a basis for future empirical research examining the effects of anti‐terrorism laws in KRI or other jurisdictions.

A meshless computational framework for a modified dynamic system of vehicle coupled with plate structure

In previous simulations of train–bridge interaction systems (TBIS), the supporting system for the train are commonly treated as beam structures, leading to less accurate results, particularly for small-span cases. To address this limitation, a modified vertical TBIS is proposed. In the presented TBIS, the supporting system is considered as a Reissner–Mindlin plate, and the displacement field is described by first-order shear deformation theory (FSDT). To establish the model, radial point interpolation method (RPIM), a meshless method, is employed. Finally, a coupled dynamic equation is established to calculate various responses of the system. Several numerical examples are presented to illustrate the disparities between the system based on plate model and traditional beam model. The results indicate that the beam model yields higher estimates of the mid-span vertical displacement of the bridge, while the peak of the mid-span vertical acceleration is smaller compared to the plate model; additionally, it is observed that the carbody is primarily influenced by rail irregularities. Consequently, the proposed plate model offers distinct advantages over the beam model in providing comprehensive structural response information, thereby offering novel insights into bridge design and analysis. Additionally, this marks the inaugural application of the meshless method in the field of TBIS, which further extends the application scope of meshless methods.

The Impact of Climate Change on Vegetable Crop Diseases and Their Management: The Value of Phytotron Studies for the Agricultural Industry and Associated Stakeholders.

Climate change is having a significant impact on global agriculture, particularly on vegetable crops, which play a critical role in global nutrition. Recently, increasing research has concentrated on the impact of climate change on vegetable crop diseases, with several studies being conducted in phytotrons, which have been used to explore the effects of increased temperatures and CO2 concentrations to simulate future scenarios. This review focuses on the combined effects of temperature and carbon dioxide increases on foliar and soilborne vegetable diseases, as evaluated under phytotron conditions. The influence of climate change on mycotoxin production and disease management strategies is also explored through case studies. The results offer valuable information that can be used to guide both seed and agrochemical industries, as well as to develop disease-resistant varieties and innovative control measures, including biocontrol agents, considering the diseases that are likely to become prevalent under future climatic scenarios. Recommendations on how to manage vegetable diseases under ongoing climate change are proposed to facilitate plants' adaptation to and enhanced against the changing conditions. A proactive and comprehensive response to climate-induced challenges in vegetable farming is imperative to ensure food security and sustainability.

The Effects of a Direct Instruction Curriculum Sequence on the Reading Comprehension Responses of Early Readers

Reading comprehension is critical for early learners’ academic success. Derived relations are an important feature of reading comprehension within the science of behavior because reading comprehension involves experientially acquired derived stimulus relations (Helou-Care, 2008; Neves in Behavioral Interventions 38:376–400, 2023, Park, 2005; da Silva in Experimental Analysis of Human Behavior Bulletin 24:1–8, 2006). That is, derived relations pertain to a learner demonstrating comprehension by making untrained connections to previously trained stimuli (e.g., words). For example, a learner who is trained that “kitten” is a type of “cat” and that all “cats meow” should then be able to demonstrate the untrained connection that “kittens meow.” The purpose of this study was to investigate the effects of the Corrective Reading Comprehension (CR) curriculum, which employs an instructional sequence involving derived relations, on reading comprehension responses entailing derived relations. Four typically developing first-grade students were the participants in this study and the students were divided into two dyads. The principal researcher instructed each dyad on each of the five lessons of CR until mastery was obtained and then conducted postprobes on the dependent measures that were metaphors, derived relations from sentences, derived relations from letters/numbers, and implicit/explicit comprehension questions. The researchers used a delayed multiple probe design across 1st-grade dyads to assess the effect of five CR lessons on derived relations and reading comprehension responses of the participants. Posttest assessments showed gains for all four participants. The article concludes with a discussion of the main findings, implications for future research, and the limitations of this study.

Gender Discourses in Civil Engineering TVET College programs: Marginalized Female Voices in the Learning of Engineering Concepts

Collectively, the Engineering sector is still the most male-dominated field and most TVET College graduates are males. Why is this even a case when the fourth industrial revolution pushes all livelihood boundaries and ensures that males and females are exposed to similar opportunities in the sector? Of course, there can never be a comprehensive response to this patriarchal question. Hence, this study delved into this societal issue through classroom discourse in a Civil Engineering and Building Construction course at a TVET college in Limpopo Province. This study was premised on the fact that lecturers in the college use “male” examples more than those of women which affects how women perceived the Civil Engineering field. Moreover, this study laid bare the preferences of female students and how they want to be involved in discourses without making reference to gender roles. This study used a qualitative research approach for a case of eleven (11) female students. Data was collected through focused group interviews. The study employed the Social Identity Theory as its framework. The study found that indeed unconscious biases are happening during classroom discourses and that the lecturers seem to be unaware of this. As a recommendation, reskilling, and upskilling of TVET college lecturers is needed as a matter of urgency with a focus on their scholarship of teaching and learning. Universities as close partners to TVET colleges can facilitate these professional development programs. This study contributes to the global discourse on female inclusion in the engineering sector and the pedagogical practices of an engineering educator in a TVET college. Keywords: Classroom discourse, Civil Engineering, Female students, TVET colleges

Inducing Long Lasting B Cell and T Cell Immunity Against Multiple Variants of SARS-CoV-2 Through Mutant Bacteriophage Qβ-Receptor Binding Domain Conjugate.

More than 3 years into the global pandemic, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains a significant threat to public health. Immunities acquired from infection or current vaccines fail to provide long term protection against subsequent infections, mainly due to their fast-waning nature and the emergence of variants of concerns (VOCs) such as Omicron. To overcome these limitations, SARS-CoV-2 Spike protein receptor binding domain (RBD)-based epitopes are investigated as conjugates with a powerful carrier, the mutant bacteriophage Qβ (mQβ). The epitope design is critical to eliciting potent antibody responses with the full length RBD being superior to peptide and glycopeptide antigens. The full length RBD conjugated with mQβ activates both humoral and cellular immune systems in vivo, inducing broad spectrum, persistent, and comprehensive immune responses effective against multiple VOCs including Delta and Omicron variants, rendering it a promising vaccine candidate.

Preparing for pandemic response in the context of limited resources

AbstractPandemics are outbreaks of an infectious disease that increase morbidity and mortality over a wide geographic area. These events require large‐scale interventions from governments and health agencies to curtail transmission within a population. In assessing the impact of these interventions, policymakers avail themselves of simulations from compartmental models. However, it is commonplace that modellers employ fixed fractions to represent interventions, which implicitly assume that resources instantaneously and boundlessly adjust to the desired target and may predict overly optimistic outcomes. Here, we propose a model that integrates four crucial countermeasures subject to resource constraints. We present this structure utilising the concept of small models and frame the simulations in the context of a hypothetical spread of influenza in the Netherlands, drawing on empirical data. After incorporating resource constraints, we find that only a comprehensive response controls the disease. These findings highlight the need for improving strategic plans to support pandemic preparedness. © 2024 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society.