Control Of Infectious Diseases Research Articles

Modeling and predicting individual variation in COVID-19 vaccine-elicited antibody response in the general population.

As we learned during the COVID-19 pandemic, vaccines are one of the most important tools in infectious disease control. To date, an unprecedentedly large volume of high-quality data on COVID-19 vaccinations have been accumulated. For preparedness in future pandemics beyond COVID-19, these valuable datasets should be analyzed to best shape an effective vaccination strategy. We are collecting longitudinal data from a community-based cohort in Fukushima, Japan, that consists of 2,407 individuals who underwent serum sampling two or three times after a two-dose vaccination with either BNT162b2 or mRNA-1273. Using the individually reconstructed time courses of the vaccine-elicited antibody response based on mathematical modeling, we first identified basic demographic and health information that contributed to the main features of the antibody dynamics, i.e., the peak, the duration, and the area under the curve. We showed that these three features of antibody dynamics were partially explained by underlying medical conditions, adverse reactions to vaccinations, and medications, consistent with the findings of previous studies. We then applied to these factors a recently proposed computational method to optimally fit an "antibody score", which resulted in an integer-based score that can be used as a basis for identifying individuals with higher or lower antibody titers from basic demographic and health information. The score can be easily calculated by individuals themselves or by medical practitioners. Although the sensitivity of this score is currently not very high, in the future, as more data become available, it has the potential to identify vulnerable populations and encourage them to get booster vaccinations. Our mathematical model can be extended to any kind of vaccination and therefore can form a basis for policy decisions regarding the distribution of booster vaccines to strengthen immunity in future pandemics.

A switching state-space transmission model for tracking epidemics and assessing interventions

The effective control of infectious diseases relies on accurate assessment of the impact of interventions, which is often hindered by the complex dynamics of the spread of disease. A Beta-Dirichlet switching state-space transmission model is proposed to track underlying dynamics of disease and evaluate the effectiveness of interventions simultaneously. As time evolves, the switching mechanism introduced in the susceptible-exposed-infected-recovered (SEIR) model is able to capture the timing and magnitude of changes in the transmission rate due to the effectiveness of control measures. The implementation of this model is based on a particle Markov Chain Monte Carlo algorithm, which can estimate the time evolution of SEIR states, switching states, and high-dimensional parameters efficiently. The efficacy of the proposed model and estimation procedure are demonstrated through simulation studies. With a real-world application to British Columbia's COVID-19 outbreak, the proposed switching state-space transmission model quantifies the reduction of transmission rate following interventions. The proposed model provides a promising tool to inform public health policies aimed at studying the underlying dynamics and evaluating the effectiveness of interventions during the spread of the disease.

Spatial Identification and Distribution Pattern of the Complexity of Rural Poverty in China Using Multisource Spatial Data

Regional poverty is one of the most serious challenges facing the world today. Poverty, antipoverty, and poverty alleviation are the focus of the attention of scholars and the public. This paper takes China’s counties as the research unit, selects the influencing factors of poverty from natural and socio-economic factors, establishes an evaluation index system, simulates the natural poverty index and socio-economic poverty eradication index of each county, and clarifies the distribution characteristics of spatial poverty using GIS spatial analysis and BP artificial neural network. The results indicate that natural factors are the main cause of poverty in Chinese counties, with 710 counties having a high natural poverty index, accounting for nearly 30% of the total number of counties in the country. The national county-level natural poverty index shows a clear strip distribution pattern along latitude and longitude, with a strip distribution from north to south and from west to east; socio-economic factors have played a certain role in poverty alleviation, with as many as 1521 counties with low socio-economic poverty alleviation indices, accounting for approximately 64% of the total number of counties in the country. The spatial distribution of the county-level socio-economic poverty alleviation index is relatively fragmented. Through spatial scanning statistics, a total of 44 county poverty pressure index risk clusters reached a statistical significance level, involving 243 counties and districts. In poverty reduction practice, the internal counties and districts of contiguous poverty-stricken areas should strengthen cooperation and exchange. In the process of poverty alleviation and development, targeted poverty alleviation and economic development should be carried out based on the poverty-dominant type and self-development ability of the county, in order to improve efficiency. Regions that are relatively prosperous and have taken the lead in poverty reduction should play a leading and exemplary role in strengthening the radiation power of regional central cities. The prominent feature of this study is the comprehensive utilization of multisource data and the use of new spatial analysis methods (flexible spatial scanning method is widely used in the field of infectious disease prevention and control research). By constructing a multidimensional poverty measurement system that includes natural and social factors, it distinguishes the differences between the factors that cause poverty and the factors that eliminate poverty in regional poverty. At the same time, the flexible spatial scanning detection method was used to detect the differentiation mechanism of poverty spatial patterns.

Real-time genomic surveillance for enhanced control of infectious diseases and antimicrobial resistance

This article advocates for mobilizing pathogen genomic surveillance to contain and mitigate health threats from infectious diseases and antimicrobial resistance (AMR), building upon successes achieved by large-scale genome sequencing analysis of SARS-CoV-2 variants in guiding COVID-19 monitoring and public health responses and adopting a One Health approach. Capabilities of laboratory-based surveillance and epidemic alert systems should be enhanced by fostering (i) universal access to real-time whole genome sequence (WGS) data of pathogens to inform clinical practice, infection control, public health policies, and vaccine and antimicrobial drug research and development; (ii) integration of diagnostic microbiology data, data from testing asymptomatic individuals, pathogen sequence data, clinical data, and epidemiological data into surveillance programs; (iii) stronger cross-sectorial collaborations between healthcare, public health, animal health, and environmental surveillance and research using One Health approaches, toward understanding the ecology and transmission pathways of pathogens and AMR across ecosystems; (iv) international collaboration and interconnection of surveillance networks, harmonization of laboratory methods, and standardization of surveillance methods for global reporting, including on pathogen genomic variant or strain nomenclature; (v) responsible data sharing between surveillance networks, databases, and platforms according to FAIR (findability, accessibility, interoperability, and reusability) principles; and (vi) research on genomic surveillance system implementation and its cost-effectiveness for different pathogens and AMR threats across different settings. Regional and global One Health policies and governance initiatives should foster the concerted development and efficient utilization of pathogen genomic surveillance to protect the health of humans, animals, and the environment.

Legal Issues Concerning Compulsory COVID-19 Vaccination: Nigeria as a Case Study

It is no news that COVID-19 has rendered severe havoc in the global environment. Although, various medical scientists and scholars were able to find a possible curtailment (Through vaccination) of the deadly COVID-19, however, there seems to be fear of the negative medical outcome of being vaccinated with the COVID-19 vaccine, given several claims of the potential danger. Furthermore, it suffices to state that Nigeria has also had its fair share of the COVID-19 pandemic. In this regard, to curtail the spread of COVID-19 in Nigeria, the Nigerian government sorts to make vaccination compulsory, despite the legal and medical rights of its citizens as enshrined in the constitution and judicial precedent. It is in this regard, that this study sort to adopt a hybrid method of study concerning the legal issues of compulsory vaccination in Nigeria. Concerning this, 310 questionnaires were sent to respondents residing in Nigeria. The study therefore found that there were incidences of COVID-19 in Nigeria and there are laws concerning the control of infectious disease in Nigeria. However, the study further found that it is a legal misnomer to compel an individual forcefully against his/her wishes to be vaccinated. Therefore, the study concludes and recommends that for effective vaccination against COVID-19, the Nigerian government needs to avoid forceful vaccination, but rather a wide sensitization concerning the vaccine's potency as against the negative claim concerning the COVID-19 vaccine. 

Review of participatory epidemiology application in human health and nutrition and future directions

Participatory Epidemiology (PE) developed as a branch of veterinary epidemiology and has been widely used in infectious disease control and early warning in resource-limited settings. In the beginning, Participatory Epidemiology was focused on linking the researcher’s communication skills with participatory methods to enable the participation of livestock owners and herders in the identification and assessment of livestock diseases as well as in the development, monitoring, and evaluation of the disease control strategies. In this respect, the use of participatory techniques gradually developed into Participatory Epidemiology with increased recognition by epidemiologists who have developed several tools which are being adapted in human health and nutrition. Relative to veterinary uses and human nutrition, Participatory Epidemiology has not been used in public health in Kenya or for studies on important human diseases, such as Kala-azar. However, in the recent past there have been growing interests from epidemiologists to extend the testing and piloting of the Participatory Epidemiology approach in the arid and semi-arid settings of Kenya geared at empowering communities to identify and solve their health needs. Additionally, there is ongoing debate about the ability of epidemiology to give results that can be better applied in public health practice besides its ability to identify disease risk factors. Scientific research has recommended that participatory research be applied in epidemiology to bridge this descriptive gap and action. This review describes the implementation experiences and lessons learnt in the use of Participatory Epidemiology in understanding human diseases, both communicable and non-communicable as well as human nutrition, a key factor in health and wellness. The reviewed articles provide an understanding into the application of PE approaches which have been limited in pastoralist areas, where zoonotic diseases are prone. The article establishes that as opposed to more conventional methods, using Participatory Epidemiology can generate precise and scientifically credible information within a relatively short period. Data generated from Participatory Epidemiology can be sustainably used to effectively find solutions to the common community health problems based on local preferences for control options.

Exploring Extended-Spectrum Beta-Lactamase (ESBL)-Producing Escherichia coli in Food-Producing Animals and Animal-Derived Foods.

Antimicrobials serve as crucial treatments in both veterinary and human medicine, aiding in the control and prevention of infectious diseases. However, their misuse or overuse has led to the emergence of antimicrobial resistance, posing a significant threat to public health. This review focuses on extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli in animals and their associated food products, which contribute to the proliferation of antimicrobial-resistant strains. Recent research has highlighted the presence of ESBL-producing E. coli in animals and animal-derived foods, with some studies indicating genetic similarities between these isolates and those found in human infections. This underscores the urgent need to address antimicrobial resistance as a pressing public health issue. More comprehensive studies are required to understand the evolving landscape of ESBLs and to develop strategic public health policies grounded in the One Health approach, aiming to control and mitigate their prevalence effectively.

Antimicrobial Activity of Methylene Blue Associated with Photodynamic Therapy: In Vitro Study in Multi-Species Oral Biofilm.

The control of infectious diseases caused by biofilms is a continuing challenge for researchers due to the complexity of their microbial structures and therapeutic implications. Photodynamic therapy as an adjunctive anti-infective treatment has been described as a possible valid approach but has not been tested in polymicrobial biofilm models. This study evaluated the effect of photodynamic therapy in vitro with methylene blue (MB) 0.01% and red LEDs (λ = 660 nm, power density ≈ 330 mW/cm2, 2 mm distance from culture) on the metabolic activity and composition of a multispecies subgingival biofilm. Test Groups LED and MB + LED showed a more significant reduction in metabolic activity than the non-LED application group (~50 and 55%, respectively). Groups LED and MB equally affected (more than 80%) the total bacterial count in biofilms. No differences were noted in the bacterial biofilm composition between the groups. In vitro LED alone or the MB + LED combination reduced the metabolic activity of bacteria in polymicrobial biofilms and the total subgingival biofilm count.

Nutritional Value, Therapeutic Effects, Phytochemistry, and Toxicology of Lepisanthes fruticosa: A Review.

The multifaceted benefits of Lepisanthes fruticosa position it is not only as a promising agricultural commodity but also as a versatile resource with implications for health, biodiversity, and economic growth. Lepisanthes fruticosa has a rich history of traditional use for treating various ailments such as fever and diarrhea. Beyond its traditional uses, the plant's antioxidant properties suggest potential applications in combating oxidative stress-related conditions. Its antihyperglycemic properties indicate promise in managing elevated blood sugar levels, while its antibacterial and antiviral attributes hint at potential applications in infectious disease control. Furthermore, the plant's anticancer properties add to its appeal as a valuable resource in the realm of medical research. The plant also exhibits considerable potential in addressing a range of health concerns, including non-communicable diseases and infections, antidiarrheal, and antiviral properties. In essence, Lepisanthes fruticose emerges as more than just an agricultural asset. Its unique combination of nutritional richness, health benefits, and economic viability underscores its potential to become a valuable asset both locally and on the global stage. In this current review, we are discussed about the ethnopharmacology, nutritional value, therapeutic effects, phytochemistry, and toxicology of Lepisanthes fruticose.

Design of Bio-Optical Transceiver for In Vivo Biomedical Sensor Applications.

This paper presents an enhanced version of our previously developed bio-optical transceiver, presenting a significant advancement in nanosensor technology. Using self-assembled polymers, this nanodevice is capable of electron detection while maintaining biocompatibility, an essential feature for in vivo medical biosensors. This enhancement finds significance in the field of infectious disease control, particularly in the early detection of respiratory viruses, including high-threat pathogens such as SARS-CoV-2. The proposed system harnesses bioluminescence by converting electric signaling to visible blue light, effectively opening the path of linking nano-sized mechanisms to larger-scale systems, thereby pushing the boundaries of in vivo biomedical sensing. The performance evaluation of our technology is analytical and is based on the use of Markov chains, through which we assess the bit error probability. The calculated improvements indicate that this technology qualifies as a forerunner in terms of supporting the communication needs of smaller, safer, and more efficient manufactured sensor technologies for in vivo medical applications.

Live-attenuated virus vaccine defective in RNAi suppression induces rapid protection in neonatal and adult mice lacking mature B and T cells

Global control of infectious diseases depends on the continuous development and deployment of diverse vaccination strategies. Currently available live-attenuated and killed virus vaccines typically take a week or longer to activate specific protection by the adaptive immunity. The mosquito-transmitted Nodamura virus (NoV) is attenuated in mice by mutations that prevent expression of the B2 viral suppressor of RNA interference (VSR) and consequently, drastically enhance in vivo production of the virus-targeting small-interfering RNAs. We reported recently that 2 d after immunization with live-attenuated VSR-disabled NoV (NoVΔB2), neonatal mice become fully protected against lethal NoV challenge and develop no detectable infection. Using Rag1-/- mice that produce no mature B and T lymphocytes as a model, here we examined the hypothesis that adaptive immunity is dispensable for the RNAi-based protective immunity activated by NoVΔB2 immunization. We show that immunization of both neonatal and adult Rag1-/- mice with live but not killed NoVΔB2 induces full protection against NoV challenge at 2 or 14 d postimmunization. Moreover, NoVΔB2-induced protective antiviral immunity is virus-specific and remains effective in adult Rag1-/- mice 42 and 90 d after a single-shot immunization. We conclude that immunization with the live-attenuated VSR-disabled RNA virus vaccine activates rapid and long-lasting protective immunity against lethal challenges by a distinct mechanism independent of the adaptive immunity mediated by B and T cells. Future studies are warranted to determine whether additional animal and human viruses attenuated by VSR inactivation induce similar protective immunity in healthy and adaptive immunity-compromised individuals.

[Guidelines for diagnosis and management and prevention of pertussis of China (2024 edition)].

Pertussis re-emergence is a global public health concern. The reported incidence of pertussis in China from 2018 to 2022 was comparable to that in the late 1980s. In fact, the incidence of pertussis is still significantly underestimated in China, owing to a lack of comprehensive active pertussis surveillance, missed diagnosis of atypical pertussis cases, and the fact that many medical institutions do not perform pertussis laboratory diagnosis. Meanwhile, China is also faced with the clinical issue that Bordetella pertussis is highly resistant to first-line macrolide treatment. To better guide and standardize the clinical diagnosis, treatment, monitoring, prevention and control of pertussis cases in China, a multidisciplinary guideline development group comprised of experts in infectious diseases, epidemiology, immunization planning and guideline methodology proposed 12 clinical issues related to the diagnosis, treatment and prevention, especially vaccine immunization strategies from a practical perspective. Through research question construction, evidence retrieval and synthesis, evidence appraisal and evidence-to-decision discussion, recommendations and implementation suggestions were formulated to provide references for clinical physicians engaged in the diagnosis and management of pertussis, microbiological laboratory professionals, hospital infection control professionals, and public health professionals involved in infectious disease prevention, control and immunization planning.

The Politics of Contagion: States, Societies, and the Control and Consequences of Infectious Diseases

The study of contagion offers important but underexplored opportunities to rethink and advance our understanding of key concepts in political science. These include notably state capacity; social policy; state–society relations, especially the role of trust; nationalism and social solidarity; exclusionary dynamics, such as xenophobia, prejudice, and discrimination; and within political psychology, the role of emotions, including disgust. This article reviews studies on contagion and health within and adjacent to political science. While taking note of the surge of studies around COVID-19, this article focuses on work on infectious disease before and beyond the pandemic. It analyzes the scholarship as it sheds light on the control of infectious diseases, on the one hand, and on the consequences of that control, on the other, while also pointing to connections and feedback loops, especially as they open avenues for future research.

Adolescent Reproductive Health Counseling in The Framework of Stunting Prevention

Adolescents/teenagers are the age group from 10 years to before the age of 18 years. Efforts to maintain adolescent health aim to prepare adolescents to become healthy, intelligent, qualified, and productive adults and to participate in maintaining, maintaining, and improving their health. Adolescent health is very important to pay attention to because, during this period, teenagers experience significant physical, psychological, and social changes. Adolescent health efforts include positive development, accident prevention, violence prevention, reproductive health, prevention and control of infectious diseases and prevention of non-communicable diseases, nutrition and physical activity, mental health, and adolescent health in crises. This community service takes the topic of reproductive health to increase participants' knowledge about reproductive health. This community service method uses an educational approach through counselling with a total of 136 participants who are students of SMPN 2 Jatigede, Ciranggem Village, Sumedang Regency, West Java. Counselling is carried out by involving resource persons who are experts in their fields. The results of the counselling showed that there was a significant increase in participants' knowledge, as indicated by the results of the post-test. Participants in the "good" category increased in number from 3 people (2.2%) at the pre-test to 98 people (72.1%) at the time. Post-test, as well as participants who had sufficient knowledge, experienced a reduction in numbers from 73 (53.7%) to the remaining 37 people (27.2%).

Assessing the impact of different contact patterns on disease transmission: Taking COVID-19 as a case.

Human-to-human contact plays a leading role in the transmission of infectious diseases, and the contact pattern between individuals has an important influence on the intensity and trend of disease transmission. In this paper, we define regular contacts and random contacts. Then, taking the COVID-19 outbreak in Yangzhou City, China as an example, we consider age heterogeneity, household structure and two contact patterns to establish discrete dynamic models with switching between daytime and nighttime to depict the transmission mechanism of COVID-19 in population. We studied the changes in the reproduction number with different age groups and household sizes at different stages. The effects of the proportion of two contacts patterns on reproduction number were also studied. Furthermore, taking the final size, the peak value of infected individuals in community and the peak value of quarantine infected individuals and nucleic acid test positive individuals as indicators, we evaluate the impact of the number of random contacts, the duration of the free transmission stage and summer vacation on the spread of the disease. The results show that a series of prevention and control measures taken by the Chinese government in response to the epidemic situation are reasonable and effective, and the young and middle-aged adults (aged 18-59) with household size of 6 have the strongest transmission ability. In addition, the results also indicate that increasing the proportion of random contact is beneficial to the control of the infectious disease in the phase with interventions. This work enriches the content of infectious disease modeling and provides theoretical guidance for the prevention and control of follow-up major infectious diseases.

'Border Country': health law in a devolved UK.

How are we to understand and research health law under devolution in the UK? Building on work in law and geography, we argue that the figure of the border is key to the production and implementation of devolved health law and the variety of forms that this takes. The utility of border thinking in this context is shown through a review of thematic areas, including infectious disease control, access to health care, and abortion, each instantiating a distinct bordering process. In each, we consider recent developments in policy and legislation, framed with reference to constitutional change, and the politics of devolution in the UK. Taking Wales as an exemplary site, we argue that health law produces borders in traditional and non-traditional places. It creates and blurs territories. It is equally constituted by pluralistic bordering practices. On the basis of this theoretically informed review, we conclude by proposing a cross-disciplinary legal, ethical, and socio-legal research agenda for future research.

Identification of Early Warning Signals of Infectious Diseases in Hospitals by Integrating Clinical Treatment and Disease Prevention.

The global incidence of infectious diseases has increased in recent years, posing a significant threat to human health. Hospitals typically serve as frontline institutions for detecting infectious diseases. However, accurately identifying warning signals of infectious diseases in a timely manner, especially emerging infectious diseases, can be challenging. Consequently, there is a pressing need to integrate treatment and disease prevention data to conduct comprehensive analyses aimed at preventing and controlling infectious diseases within hospitals. This paper examines the role of medical data in the early identification of infectious diseases, explores early warning technologies for infectious disease recognition, and assesses monitoring and early warning mechanisms for infectious diseases. We propose that hospitals adopt novel multidimensional early warning technologies to mine and analyze medical data from various systems, in compliance with national strategies to integrate clinical treatment and disease prevention. Furthermore, hospitals should establish institution-specific, clinical-based early warning models for infectious diseases to actively monitor early signals and enhance preparedness for infectious disease prevention and control.

Miniaturized MXene-based electrochemical biosensors for virus detection

The timely control of infectious diseases can prevent the spread of infections and mitigate the significant socio-economic damage witnessed during recent pandemics. Diagnostic methods play a significant role in detecting highly contagious agents, such as viruses, to prevent further transmission. The emergence of advanced point-of-care techniques offers several advantages over conventional approaches for detecting infectious agents. These techniques are highly sensitive, rapid, can be miniaturized, and are cost-effective. Recently, MXene-based 2D nanocomposites have proven beneficial for fabricating electrochemical biosensors due to their suitable electrical, optical, and mechanical properties. This article covers electrochemical biosensors based on MXene nanocomposite for the detection of viruses, along with the associated challenges and future possibilities. Additionally, we highlight various conventional techniques for the detection of infectious agents, discussing their pros and cons. We delve into the challenges faced during the fabrication of MXene-based biosensors and explore future endeavors. It is anticipated that the information presented in this work will pave the way for the development of Point-of-Care (POC) devices capable of sensitive and selective virus detection, enhancing preparedness for ongoing and future pandemics.

Seasonal syndromic surveillance by sentinel system of ILI, ARI, SARI and pneumonia in Romania – season 2023/2024

Syndromic surveillance was initially developed for early detection compared to traditional methods of an epidemiological event with an impact on public health, but as it was applied by more countries it was observed that it can provide information on the size, dynamics of the spread with an emphasis on the potential for national, regional and global evolution, the severity and the most affected population groups, but also to the development of a quick, specific response. Globalization, which involves the intensification of the movement of people (including sick or incubating infectious diseases), live animals, or products of animal origin in and from any part of the planet, but also climate change and pollution, amplifies the danger of the spread of communicable infectious diseases from areas so-called “specific” diseases in new areas, unknown to populations and healthcare systems. In this context, the One Health initiative needs efficient surveillance methods to help promote the health of people, animals, the environment, and ultimately the planet Earth. Recently, there have been substantial changes in the surveillance and control of infectious diseases with an impact on public health aimed at assessing the risks of the emergence of infectious agents with epidemic and pandemic potential by identifying and analyzing favorable factors related to the infectious agent (virulence, variability, transmissibility, etc.), the host organism (immunity, physiological factors, vaccination status, associated chronic diseases, nutritional status, living conditions, etc.), demographic factors (birth rate, mortality, population agglomerations), climatic factors and insect populations vectors, rodents and wild animals (including birds) and last but not least domestic animal populations (including birds). Among these methods, syndromic surveillance stands out, which in addition has the quality of using automatic data acquisition and generating statistical alerts, monitors disease indicators in real-time or near real-time to detect disease outbreaks earlier than would be possible with conventional methods traditional public health. In this context, we will present the Romanian experience regarding the syndromic surveillance of ILI, ARI and SARI in Romania through the national sentinel system season 2023/2024.

HEDV-Greedy: An Advanced Algorithm for Influence Maximization in Hypergraphs

Influence maximization (IM) has shown wide applicability in various fields over the past few decades, e.g., viral marketing, rumor control, and prevention of infectious diseases. Nevertheless, existing research on IM primarily focuses on ordinary networks with pairwise connections between nodes, which fall short in the representation of higher-order relations. Influence maximization on hypergraphs (HIM) has received limited research attention. A novel evaluation function, which aims to evaluate the spreading influence of selected nodes on hypergraphs, i.e., expected diffusion value on hypergraph (HEDV), is proposed in this work. Then, an advanced greedy-based algorithm, termed HEDV-greedy, is proposed to select seed nodes with maximum spreading influence on the hypergraph. We conduct extensive experiments on eight real-world hypergraph datasets, benchmarking HEDV-greedy against eight state-of-the-art methods for the HIM problem. Extensive experiments conducted on real-world datasets highlight the effectiveness and efficiency of our proposed methods. The HEDV-greedy algorithm demonstrates a marked reduction in time complexity by two orders of magnitude compared to the conventional greedy method. Moreover, HEDV-greedy outperforms other state-of-the-art algorithms across all datasets. Specifically, under conditions of lower propagation probability, HEDV-greedy exhibits an average improvement in solution accuracy of 25.76%.