Global Issue Research Articles

The DIKWP (Data, Information, Knowledge, Wisdom, Purpose) Revolution: A New Horizon in Medical Dispute Resolution

The doctor–patient relationship has received widespread attention as a significant global issue affecting people’s livelihoods. In clinical practice within the medical field, applying existing artificial intelligence (AI) technology presents issues such as uncontrollability, inconsistency, and lack of self-explanation capabilities, even raising concerns about ethics and morality. To address the problem of doctor–patient interaction differences arising from the doctor–patient diagnosis and treatment, we collected the textual content of doctor–patient dialogues in outpatient clinics of local first-class hospitals. We utilized case scenario analysis, starting from two specific cases: multi-patient visits with the same doctor and multi-doctor interaction differences with the same patient. By capturing the external interactions and the internal thought processes, we unify the external expressions and internal subjective cognition in doctor–patient interactions into interactions between data, information, knowledge, wisdom, and purpose (DIKWP) models. We propose a DIKWP semantic model for the doctor–patient interactions on both sides, including a DIKWP content model and a DIKWP cognitive model, to achieve transparency throughout the entire doctor–patient interaction process. We semantically–bidirectionally map the diagnostic discrepancy space to DIKWP uncertainty and utilize a purpose-driven DIKWP semantic fusion transformation technique to disambiguate the uncertainty problem. Finally, we select four traditional methods for qualitative and quantitative comparison with our proposed method. The results show that our method performs better in content and uncertainty handling. Overall, our proposed DIKWP semantic model for doctor–patient interaction processing breaks through the uncertainty limitations of natural language semantics in terms of interpretability, enhancing the transparency and interpretability of the medical process. It will help bridge the cognitive gap between doctors and patients, easing medical disputes.

Accelerating Critical Thinking to Industrial Pace and Scale Through AI: Addressing the Global Issue of Food Sustainability

Accelerating Critical Thinking to Industrial Pace and Scale Through AI: Addressing the Global Issue of Food Sustainability

Rapid Investigation of Oil Pollution in Water-Combined Induced Fluorescence and Random Sample Consensus Algorithm

The global issue of oil spreading in water poses a significant environmental challenge, emphasizing the critical need for the accurate determination and monitoring of oil content in aquatic environments to ensure sustainable development of the environment. However, the complexity arises from challenges such as oil dispersion, clustering, and non-uniform distribution, making it difficult to obtain real-time oil concentration data. This paper introduces a sophisticated system for acquiring induced fluorescence spectra specifically designed for the quantitative analysis of oil pollutants. The paper involved measuring the fluorescence spectra across 20 concentration gradients (ranging from 0 to 1000 mg/L) for four distinct oil samples: 92# Gasoline, Mobil Motor Oil 20w-40, Shell 10w-40 engine oil, and Soybean Oil. The research focused on establishing a relationship model between relative fluorescence intensity and concentration, determined at the optimal excitation wavelength, utilizing the segmented Random Sample Consensus (RANSAC) algorithm. Evaluation metrics, including standard addition recovery, average recovery, relative error, and average relative error, were employed to assess the accuracy of the proposed model. The experimental findings suggest that the average recovery rates for the four samples ranged between 99.61% and 101.15%, with the average relative errors falling within the range of 2.04% to 3.14%. These results underscore the accuracy and efficacy of the detection methodology presented in this paper. Importantly, this accuracy extends to scenarios involving heavier oil pollution. This paper exhibits exceptional sensitivity, enabling precise detection of diverse oil spills within the concentration range of 0~1000 mg/L in water bodies, offering valuable insights for water quality monitoring and sustainable development of the environment.

Sources, fate, distribution, impact, and treatment of endocrine disrupting compounds (EDCs) in drinking water

AbstractThis review examined the global issue of endocrine disrupting compounds (EDCs) in drinking water, including their sources, health effects, and the efficacy of advanced treatment technologies like biodegradation and photocatalytic degradation, using case studies. Recently, endocrine disrupting substances or disruptors in drinking water have become a global issue. Emerging pollutants including endocrine disrupting chemicals can enter the body through water drinking. Endocrine disruptors affect gene expression and damage the endocrine system, harming humans, wildlife, and the environment. Pesticides, detergents and surfactants, plasticizers, industrial compounds, medicines, natural plant derivatives, and heavy metals are endocrine disruptive compounds in water. These endocrine disrupting substances enter raw water bodies by untreated and treated wastewater discharges, runoff, and leachate. However, the convectional drinking water treatment facility cannot cleanse and process endocrine disruptive substances from raw water intakes, resulting in inefficient eliminations and health risks. Mechanisms, benefits, and drawbacks of new water treatment technologies such biodegradation, photocatalytic degradation, and oxidation for endocrine disruptive chemicals are reviewed. Thus, many case studies from the Philippines, Mexico, and Egypt will be examined to highlight the health dangers of EDC exposure.

Free radical scavenging, α-amylase, α-glucosidase, and lipase inhibitory activities of metabolites from strawberry kombucha: Molecular docking and in vitro studies

Obesity, a global issue, is linked to cardiometabolic syndrome. Dietary modification is one of the recommended modes for managing cardiometabolic syndrome. Strawberries, a functional food, and kombucha, a fermented tea beverage, have gained attention for their health benefits. This study investigated the bioactive components of strawberry kombucha drink (SKD) and their effects on antioxidant activities and improving metabolic disorder markers. An in vitro experiment was performed to determine the effect of SKD on enzymatic parameters: lipase, α-glucosidase, and α-amylase activities. In addition, antioxidant activity using the DPPH method and quantification of the radical scavenging activity were also measured. Furthermore, untargeted metabolomic profiling of SKD and molecular docking simulation were conducted. The findings suggest that SKD, rich in secondary metabolites, can inhibit lipase, α-glucosidase, and α-amylase activities. It demonstrated in vitro anti-obesity, anti-diabetic, and antioxidant properties, potentially reducing metabolic and inflammatory issues. Thus, SKD could be a therapeutic beverage to alter metabolic issues associated with obesity. Nevertheless, further preclinical study is warranted to determine SKD’s potential in vivo.

Zinc Oxide Nanoparticles Alleviate Salt Stress in Cotton (Gossypium hirsutum L.) by Adjusting Na+/K+ Ratio and Antioxidative Ability.

Soil salinization poses a threat to the sustainability of agricultural production and has become a global issue. Cotton is an important cash crop and plays an important role in economic development. Salt stress has been harming the yield and quality of many crops, including cotton, for many years. In recent years, soil salinization has been increasing. It is crucial to study the mechanism of cotton salt tolerance and explore diversified materials and methods to alleviate the salt stress of cotton for the development of the cotton industry. Nanoparticles (NPs) are an effective means to alleviate salt stress. In this study, zinc oxide NPs (ZnO NPs) were sprayed on cotton leaves with the aim of investigating the intrinsic mechanism of NPs to alleviate salt stress in cotton. The results show that the foliar spraying of ZnO NPs significantly alleviated the negative effects of salt stress on hydroponic cotton seedlings, including the improvement of above-ground and root dry and fresh weight, leaf area, seedling height, and stem diameter. In addition, ZnO NPs can significantly improve the salt-induced oxidative stress by reducing the levels of MDA, H2O2, and O2- and increasing the activities of major antioxidant enzymes, such as superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT). Furthermore, RNA-seq showed that the foliar spraying of ZnO NPs could induce the expressions of CNGC, NHX2, AHA3, HAK17, and other genes, and reduce the expression of SKOR, combined with the CBL-CIPK pathway, which alleviated the toxic effect of excessive Na+ and reduced the loss of excessive K+ so that the Na+/K+ ratio was stabilized. In summary, our results indicate that the foliar application of ZnO NPs can alleviate high salt stress in cotton by adjusting the Na+/K+ ratio and regulating antioxidative ability. This provides a new strategy for alleviating the salt stress of cotton and other crops, which is conducive to the development of agriculture.

Cosmopolitanism Represented in Ocean's Eleven Movie Script

Globalization has become a primary concern today, leading to significant shifts in social relations and making various global issues more visible. It is characterized by conditions where one can move easily from one place to another. Thus, it blurs the meaning of one's identity and citizenship. Hence, this research uses a structuralist approach and cosmopolitanism. The object of this research is Ocean's Eleven movie script which contains similar issues. The aim is to discover how cosmopolitanism is represented in Ocean's Eleven movie script and to find what kinds of cosmopolitanism are experienced by Ocean's Eleven characters. The researcher used the structuralism approach, Stuart Hall's concept of representation, cosmopolitan identity, and imaginative cosmopolitanism. Then by applying literary criticism, the researcher found that the representation of cosmopolitanism in Ocean's Eleven movie script is shown through character, dialogue, and narration. In addition, the cosmopolitanism shown by the characters of Ocean's Eleven is included in cultural cosmopolitanism. Based on the results, this research can be used as a model for further researchers in finding cosmopolitanism issues in literary works.

Hepatitis B: Model Systems and Therapeutic Approaches.

Hepatitis B virus (HBV) infection is a major global health issue and ranks among the top causes of liver cirrhosis and hepatocellular carcinoma. Although current antiviral medications, including nucleot(s)ide analogs and interferons, could inhibit the replication of HBV and alleviate the disease, HBV cannot be fully eradicated. The development of cellular and animal models for HBV infection plays an important role in exploring effective anti-HBV medicine. During the past decades, advancements in several cell culture systems, such as HepG2.2.15, HepAD38, HepaRG, hepatocyte-like cells, and primary human hepatocytes, have propelled the research in inhibiting HBV replication and expression and thus enriched our comprehension of the viral life cycle and enhancing antiviral drug evaluation efficacy. Mouse models, in particular, have emerged as the most extensively studied HBV animal models. Additionally, the present landscape of HBV therapeutics research now encompasses a comprehensive assessment of the virus's life cycle, targeting numerous facets and employing a variety of immunomodulatory approaches, including entry inhibitors, strategies aimed at cccDNA, RNA interference technologies, toll-like receptor agonists, and, notably, traditional Chinese medicine (TCM). This review describes the attributes and limitations of existing HBV model systems and surveys novel advancements in HBV treatment modalities, which will offer deeper insights toward discovering potentially efficacious pharmaceutical interventions.

Impact of Heavy Metal Pollution on the Environment

Pollution of the environment by the toxic heavy metals is a global issue of concern and affects the natural quality of the air, water, and soil. Anthropogenic activities are largely responsible for the widespread pollution of heavy metals in the environment, which is having a harmful impact on human health. Rapid urbanization, industrialization, population explosion, and use of advanced technology in developing countries have resulted in huge rise in waste production. Waste generation and disposal along with landfills is a serious global environmental threat resulting in heavy metal contamination of the soils, water, and plants. Heavy metals reaching in the atmosphere result to the deterioration of the quality, and contamination of the soil and groundwater along with damage to the living organisms. The present review describes the analysis of heavy metal pollution of the environment with respect to air, animals, aquatic ecosystem, plants, and soil. Special emphasis is provided on sources of heavy metals in the environment, harmful impacts of heavy metals on the environment and strategies to control heavy metal pollution of the environment. Present study is based on critical review and analysis of scientific information published by academic and professional researchers who studied the impact of heavy metal pollution on the environment. Research articles on impact of heavy metal pollution on the environment published in high impact factor journals were referred for collection of databases. This study notices that there is an urgent need for continuous monitoring of various environmental elements for heavy metals in different open dumpsites. It also recommends that nanomaterials, such as metal oxide nanoparticles, graphene and its derivatives, magnetic nanoparticles, and carbon nanotubes should be used to remove the toxic heavy metals from the air, water and soil.

Optimizing the use of intangible assets in industry to overcome poverty: a cross-country analysis

The article focuses on the description and utilization of intangible assets (IA), particularly in industry, as a means of alleviating poverty. The authors examine the experiences of European countries, as well as Ukraine and Kyrgyzstan, and evaluates existing approaches to granting access to intangible assets following international law. Given that only 40% of the global population has access to the Internet and participates in the digital economy, addressing inequality in this realm is a pressing global issue recognized by the G20. Economic inequality, defined in economic theory as the gap between the rich and the poor in terms of income, wealth, education, employment, and living standards within and across countries and regions, will be considered in this article as a disparity in economic well-being indicators. Generally, it is noteworthy that intangible assets (hereinafter referred to as the IA) are crucial, enabling enterprises to develop. They serve as primary indicators of technological progress and enterprise development, reflecting its innovative direction. Consequently, the accounting and auditing of IA play a vital role in industrial enterprises in Ukraine. However, insufficient legislative frameworks in post-Soviet countries, notably Kyrgyzstan, hinder the ability of intangible assets to contribute to poverty alleviation. The income distribution in these countries, which is closely linked to the issue of inequality, is viewed in a positivist theoretical framework from a functional perspective, specifically as the allocation of income among the principal factors of production. Changes in poverty levels in post-Soviet countries can also be attributed to investments in intangible assets that benefit households. Possessing social capital in the form of quality education, health, or land can lead to more favorable earning prospects and can function as intangible capital. One notable characteristic of industry in post-Soviet countries is its urban concentration, which can be attributed to the presence of individuals with more valuable intangible assets in urban areas.

The Influence of Extended Reality on Climate Change Education

AbstractClimate change is a nuanced global issue with a scope that is often difficult to fully appreciate. This study examined an undergraduate course focused on the impacts and responses to climate change on the Outer Banks of North Carolina, USA. The course utilized a socioscientific issues (SSI) approach to examine global climate change in a local context that allowed for a deeper understanding of the inequitable impacts on humans and the environment. As part of the class, students were immersed in a 6-day field experience in the Outer Banks to investigate the challenges facing the barrier islands where they visited five sites and used augmented reality (AR) to learn about the impact of climate change at those respected locations. After each experience, the course instructors debriefed with the students to help make sense of the experiences and promote deeper understanding of the issue. Four weeks later, the class immersed in virtual reality (VR) to revisit the same five sites using the same information provided in the AR. Using a constant comparative and inductive analyzes using keywords in context, results suggest both AR and VR enhanced learning experiences. Findings indicated that the students generally felt that the VR experience was a suitable alternative, with the caveat that it cannot replace being immersed in the location, that both technologies increased their engagement, and increased their learning. Conversely, some students reported that the technology impeded their learning.

Why you shouldn’t serve meat at your next catered event

Much has been written about the ethics of eating meat. Far less has been said about the ethics of serving meat. In this paper I argue that we often shouldn’t serve meat, even if it is morally permissible for individuals to purchase and eat meat. Historically, the ethical conversation surrounding meat has been limited to individual diets, meat producers, and government actors. I argue that if we stop the conversation there, then the urgent moral problems associated with industrial animal agriculture will go unsolved. Instead, we must also consider the important but overlooked role that midsized institutions play in addressing major collective problems. I focus mostly on the harms that industrial animal agriculture inflicts on humans, animals, and the environment, but the discussion bears on other global issues like climate change. Institutional choices are an underexplored avenue for driving social change—their power and influence outstrip individual actions, and they can shape behavior in modest ways that promote social goods. Here I highlight the paradigmatic case of catered events and suggest three ways that institutional actors can reduce meat consumption and shape cultural attitudes surrounding meat: large impact decisions, subtly shaping incentives, and consolidating burdens.

Impact of earthworms on antibiotic resistance genes removal in ampicillin-contaminated soil through bacterial community alteration.

The emergence of antibiotic resistance genes (ARGs) as contaminants in soil poses a significant threat to public health. Earthworms (Eisenia foetida), which are common inhabitants of soil, have been extensively studied for their influence on ARGs. However, the specific impact of earthworms on penicillin-related ARGs remains unclear. In this study, we investigate the role of earthworms in mitigating ARGs, specifically penicillin-related ARGs, in ampicillin-contaminated soil. Utilizing high-throughput quantitative PCR (HT-qPCR), we quantified a significant reduction in the relative abundance of penicillin-related ARGs in soil treated with earthworms, showing a decrease with a p-value of <0.01. Furthermore, high-throughput 16S rRNA gene sequencing revealed that earthworm intervention markedly alters the microbial community structure, notably enhancing the prevalence of specific bacterial phyla such as Proteobacteria, Firmicutes, Chloroflexi, and Tenericutes. Our findings not only demonstrate the effectiveness of earthworms in reducing the environmental load of penicillin-related ARGs but also provide insight into the alteration of microbial communities as a potential mechanism. This research contributes to our understanding of the role of earthworms in mitigating the spread of antibiotic resistance and provides valuable insights for the development of strategies to combat this global health issue.

Magnetized bentonite modified rice straw biochar: Qualitative and quantitative analysis of Cd(II) adsorption mechanism

Industrialization has caused a significant global issue with cadmium (Cd) pollution. In this study, Biochar (Bc), generated through initial pyrolysis of rice straw, underwent thorough mixing with magnetized bentonite clay, followed by activation with KOH and subsequent pyrolysis. Consequently, a magnetized bentonite modified rice straw biochar (Fe3O4@B-Bc) was successfully synthesized for effective treatment and remediation of this problem. Fe3O4@B-Bc not only overcomes the challenges associated with the difficult separation of individual bentonite or biochar from water, but also exhibited a maximum adsorption capacity of Cd(II) up to 241.52 mg g−1. The characterization of Fe3O4@B-Bc revealed that its surface was rich in C, O and Fe functional groups, which enable efficient adsorption. The quantitative calculation of the contribution to the adsorption mechanism indicates that cation exchange and physical adsorption accounted for 65.87% of the total adsorption capacity. In conclusion, Fe3O4@B-Bc can be considered a low-cost and recyclable green adsorbent, with broad potential for treating cadmium-polluted water.

Highly dispersed active sites and strong metal-support interaction for boosting CO2 hydrogenation to methanol

As global energy demand continues to increase and global climate change issues caused by greenhouse gas emissions gradually heat up, the effective conversion of carbon dioxide into high value-added methanol has become a key challenge in the energy and environmental fields. However, due to the chemical inertness of CO2 molecules, it is difficult to activate CO2 at low temperatures, resulting in extremely low conversion rates. Although increasing the reaction temperature is beneficial for the conversion of CO2, there is also competition in the reverse water gas reaction, resulting in lower methanol selectivity. Therefore, developing efficient catalysts is the key to improving CO2 conversion rate and methanol selectivity. In this work, we used zirconium-based UIO-66 metal-organic framework as a precursor, replaced the original terephthalic acid ligand with thermally unstable aminoterephthalic acid, and supported Cu on the MOF precursor by equal volume impregnation method. After heat treatment, the Cu/ZrO2-DM catalyst was prepared. The catalyst was compared with Cu/ZrO2 catalyst prepared by co-precipitation method, hydrothermal method and unmodified Cu/ZrO2-D catalyst. The Cu/ZrO2-DM catalyst exhibited the highest CO2 conversion and methanol selectivity in the hydrogenation reaction, reaching 13.95% and 90.78%, respectively. The main reason is attributed to the large specific surface area of the copper-based catalyst derived from MOF materials, the good dispersion of the active center and the strong interaction between Cu and the precursor. This work may provide a new perspective for the design and synthesis of related catalytic materials for efficient CO2 hydrogenation to methanol.

Study the Physiological and Biochemical Effects of Berberine Extract on Nonalcoholic Fatty Liver Disease (NAFLD) in Male Rabbits

Nonalcoholic fatty liver disease (NAFLD) is a prevalent global health issue, characterized by hepatic steatosis and associated with metabolic comorbidities such as obesity, diabetes, and dyslipidemia. Berberine (BBR), an isoquinoline alkaloid, has emerged as a potential therapeutic agent for NAFLD. In this research, we evaluated the effects of BBR on NAFLD management and its associated complications. Our analysis included three groups involving 10 rabbits induced NAFLD by administration cholesterol rich diet, 10 rabbits administrated high rich diet with fats and cholesterol, and 10 rabbits with normal fed as control group. BBR demonstrated significant improvements in liver function biochemical markers (ALT, AST, GGT), lipid indices (TC, TG, LDL-C, HDL-C), and physiological parameters such as insulin sensitivity (HOMA-IR) and body mass index (BMI). Importantly, BBR exhibited a favorable safety profile, with minimal gastrointestinal adverse events reported. These findings highlight BBR potential as an adjunct therapy for NAFLD. However, further well-designed clinical trials involving human subjects are warranted to validate its efficacy and safety.

Applying metabolic modeling and multi-omics to elucidate the biotransformation mechanisms of marine algal toxin domoic acid (DA) in sediments

Domoic acid (DA)-producing algal blooms are a global marine environmental issue. However, there has been no previous research addressing the question regarding the fate of DA in marine benthic environments. In this work, we investigated the DA fate in the water-sediment microcosm via the integrative analysis of a top-down metabolic model, metagenome, and metabolome. Results demonstrated that biodegradation is the leading mechanism for the nonconservative attenuation of DA. Specifically, DA degradation was prominently completed by the sediment aerobic community, with a degradation rate of 0.0681 ± 0.00954 d−1. The DA degradation pathway included hydration, dehydrogenation, hydrolysis, decarboxylation, automatic ring opening of hydration, and β oxidation reactions. Moreover, the reverse ecological analysis demonstrated that the microbial community transitioned from nutrient competition to metabolic cross-feeding during DA degradation, further enhancing the cooperation between DA degraders and other taxa. Finally, we reconstructed the metabolic process of microbial communities during DA degradation and confirmed that the metabolism of amino acid and organic acid drove the degradation of DA. Overall, our work not only elucidated the fate of DA in marine environments but also provided crucial insights for applying metabolic models and multi-omics to investigate the biotransformation of other contaminants.

The relationship between event-related potential components and suicide risk in major depressive disorder

BackgroundSuicide is a serious global issue, with major depressive disorder (MDD) being a significant risk factor for suicidal thoughts and behaviors. There is an urgent need to determine whether event-related potential components (ERPs) could be used as an indicator to assess suicidal risk. MethodsFrom 2020 to 2023, 258 participants in total were recruited into the study. All participants were divided into four groups: MDD patients at high (n = 66), moderate (n = 66), and low risk (n = 56) of suicide, and healthy controls (HCs)(n = 70). Each participant provided socio-demographic information and underwent evaluations using clinical psychological scales such as 7-item Generalized Anxiety Disorder (GAD-7), Health Questionnaire-9 items (PHQ-9), and Nurses' Global Assessment of Suicide Risk (NGASR). The auditory brainstem response test and ERP examination were performed for all subjects. ResultsOur study found that the amplitude of P2–P3 and N2–P3 was significantly reduced in MDD patients at moderate and high risk of suicide, and these were negatively correlated with NGASR total score (all P < 0.05). Point B latency was positively correlated with NGASR total score (P < 0.05). Patients with MDD patients at low risk for suicide had a lower A-B amplitude compared to HCs (P < 0.05). No differences were found in MMN or P50 components between the four groups (all P > 0.05). ConclusionsMDD patients at higher risk of suicide exhibited severe impairment of cognitive function. ERP indices, such as the amplitude of P2–P3 and N2–P3, could be associated with the risk of suicide in MDD patients.

Impact of Drip Irrigation on Crop Growth, Yield, Water Productivity, and Weed Dynamics: A Review

The global water scenario indicates efficient water management practices are required to sustain agricultural productivity. The scarcity of groundwater resources is a global issue that is caused by increasing global population and climate change in the form of global warming. To alleviate the issue, the major water-consuming area implemented drip irrigation projects. It is recognized for its water-saving potential and gained prominence in crop cultivation. This study aimed to investigate the effect of drip irrigation on the growth, yield, water productivity, and weed dynamics of various crops. Results revealed that wheat under drip irrigation exhibited enhanced growth parameters, including increased plant height, leaf area index, and dry matter accumulation attributed to optimized soil moisture content. Drip irrigation significantly improved yield and yield attributes compared to traditional irrigation methods. Importantly, drip irrigation increased water productivity while reducing water use per unit of production. These findings highlight the potential of drip irrigation to reduce water shortages and increase crop output in the current global water context.

Development and utilization of a visual loop-mediated isothermal amplification coupled with a lateral flow dipstick (LAMP-LFD) assay for rapid detection of Echinostomatidae metacercaria in edible snail samples

Trematodes belonging to the family Echinostomatidae are food-borne parasites which cause echinostomiasis in animals and humans. This is a global public health issue, particularly in East and Southeast Asia. A method to detect the infective stage of Echinostomatidae species is required to prevent transmission to humans. In this study, a loop-mediated isothermal amplification coupled with a lateral flow dipstick (LAMP-LFD) assay was developed for visual detection of the metacercarial stage in edible snails of the genus Filopaludina from local markets in Thailand. The LAMP-LFD method can be performed within 70 min at a consistent temperature of 66 °C, and the results can be interpreted with the naked eye. The detection limits of the assay using Echinostoma mekongi, E. macrorchis, E. miyagawai and Hypoderaeum conoideum genomic DNA were equal between the four species at 50 pg/μL. A specificity evaluation demonstrated that the LAMP-LFD assay had no cross-reaction with another parasite (Thapariella species) or with the snail host species (Filopaludina martensi martensi, F. sumatrensis speciosa, and F. s. polygramma). Clinical test assessments were compared to microscopic examination in 110 edible snail samples. The clinical sensitivity and specificity of the tests were 84.62 % and 100 %, respectively, with a strong level of agreement based on the kappa statistic and the results of both methods were not significantly different (p > 0.05) per McNemar's test. The test successfully developed in this study may be useful for the detection of the metacercarial stage in edible snails for epidemiological investigations, control, surveillance, and to prevent future echinostomiasis health issues.