Comprehensive Measures Research Articles

International Experience in the Use of Transboundary Water Resources and Issues of its Regulation

The article analyzes the ecological problems of regulating the use of transboundary waters and its protection. The contents of the documents accepted by the international community were studied. At the same time, the state environmental policy of the Republic of Uzbekistan regarding transboundary waters and the tasks it has set for itself have been studied, and suggestions for their improvement have been given. The methods used in this research were interviews and surveys where interviews were conducted with key stakeholders, including government officials, local activists, and the general public in Uzbekistan. Use surveys to collect quantitative data about public perception and awareness regarding changing views about the value of water. In summary, effective international cooperation, clear legal regulations, the establishment of a monitoring commission, and comprehensive protection measures are essential for the sustainable management of transboundary water resources in Central Asia.

Price discovery and long‐memory property: Simulation and empirical evidence from the bitcoin market

AbstractPrice discovery studies of a single asset traded in multiple markets have traditionally focused on assessing the relative price discovery contribution of each market. However, in this paper, we demonstrate that the overall price discovery across all markets can undergo changes even when the relative price discovery of each market remains constant. We propose that this overall change in price discovery can be effectively captured by the fractional parameter in the fractionally cointegrated vector autoregressive (FCVAR) model. In contrast, the widely used cointegrated vector autoregressive (CVAR) model fails to account for this dynamic in overall price discovery. Through a combination of simulation exercises and empirical applications, we show that the FCVAR approach outperforms the CVAR model not only in evaluating the relative price discovery contributions but also, more importantly, in providing a comprehensive measurement of overall price discovery.

Comprehensive measurement of muscle maximal oxygen uptake determinants: insights and application.

Comprehensive measurement of muscle maximal oxygen uptake determinants: insights and application.

Uterine Balloon Tamponade: An Effective Tool for Managing Postpartum Haemorrhage

This article explores the crucial subject of Uterine Balloon Tamponade (UBT) as a very efficient method for controlling postpartum haemorrhage (PPH). Maternal mortality continues to be a pressing issue in global health, with postpartum haemorrhage playing a prominent role in this troubling pattern. This study investigates the versatile operational processes of UBT devices, with a particular focus on their capacity to stimulate uterine receptors, initiate contractions, and exert hydrostatic pressure to halt bleeding sinuses. The research highlights the crucial importance of healthcare workers, namely nurses, in promptly identifying and skillfully implementing UBT to achieve hemostasis. This resource offers a comprehensive examination of the many factors that contribute to postpartum haemorrhage (PPH), including uterine atony and retained placental fragments. It emphasises the need of implementing focused therapies to address these causes. The article highlights the worldwide inequalities in maternal healthcare and proposes comprehensive measures to tackle shortcomings in healthcare facilities, improve accessibility, and invest in highly qualified healthcare professionals. Evidence-based procedures, including UBT, are promoted for wider application, needing intensive instructional programs for healthcare practitioners. It is recommended that policymakers give high importance to maternal health on the international agenda, promoting cooperation across different fields of study and involving the community. In conclusion, the abstract highlights the need of taking proactive steps and working together to include UBT as a primary intervention in the management of PPH, with the main objective of decreasing global maternal death rates.

Flexural and split tensile strength of concrete with basalt fiber: An experimental and computational analysis

The objective of this study is to create comprehensive multiscale models for predicting the split tensile strength (STS) and flexural strength (FS) of basalt fiber-reinforced concrete, with the intention of its use in the construction industry. To meet this objective, STS and FS data were collected from various academic research investigations. The collected data was further expanded by experimentally analyzing the FS and STS of basalt fiber (0.1 %, 0.2 %, 0.3 %, and 0.4 % by volume)-loaded concrete. The experimental investigation shows FS and STS increased with basalt fiber loading. The highest FS was 5.11 MPa (0.4 % basalt fiber), and the highest STS was 2.24 MPa (0.3 % basalt fiber). The collected STS (114 data) and FS (103 data) datasets were statistically examined and modelled using soft computing techniques. Seven soft computing techniques, namely Random Forest (RF), Stochastic Random Forest (Stochastic-RF), Random Tree (RT), Stochastic Random Tree (Stochastic-RT), Bagging Random Forest (Bagging-RF), Bagging Random Tree (Bagging-RT) and Artificial Neural Network (ANN) were used to predict the FS and STS of basalt fiber-reinforced concrete using nine inputs and two outputs. The accuracy of the models was evaluated using comprehensive measure (COM), correlation coefficient (CC), mean absolute error (MAE), root relative squared error (RRSE), relative absolute error (RAE), Nash-Sutcliffe efficiency (NSE), and root mean square error (RMSE). The Stochastic-RT model had better predictive ability for FS, as seen by its lowest COM value of 0.121, and optimal values for CC, MAE, RRSE, NSE, RAE, and RMSE. Conversely, with a minimal COM value of 0.0279, the Bagging-RT model showed better accuracy in predicting the STS of concrete. Furthermore, sensitivity analysis revealed that basalt fiber length has the most significant effect on FS prediction, whereas curing time is the most crucial element influencing the STS of the concrete.

Using electrical impedance spectroscopy to identify equivalent circuit models of lubricated contacts with complex geometry: In-situ application to mini traction machine

Electrical contact resistance or capacitance as measured between a lubricated contact has been used in tribometers, partially reflecting the lubrication condition. In contrast, the electrical impedance provides rich information of magnitude and phase, which can be interpreted using equivalent circuit models, enabling more comprehensive measurements, including the variation of lubricant film thickness and the asperity (metal-to-metal) contact area. An accurate circuit model of the lubricated contact is critical as needed for the electrical impedance analysis. However, existing circuit models are hand derived and suited to interfaces with simple geometry, such as parallel plates, concentric and eccentric cylinders. Circuit model identification of lubricated contacts with complex geometry is challenging. This work takes the ball-on-disc lubricated contact in a Mini Traction Machine (MTM) as an example, where screws on the ball, grooves on the disc, and contact close to the disc edge make the overall interface geometry complicated. The electrical impedance spectroscopy (EIS) is used to capture its frequency response, with a group of load, speed, and temperature varied and tested separately. The results enable an identification of equivalent circuit models by fitting parallel resistor-capacitor models, the dependence on the oil film thickness is further calibrated using a high-accuracy optical interferometry, which is operated under the same lubrication condition as in the MTM. Overall, the proposed method is applicable to general lubricated interfaces for the identification of equivalent circuit models, which in turn facilitates in-situ tribo-contacts with electric impedance measurement of oil film thickness – it does not need transparent materials as optical techniques do, or structural modifications for piezoelectric sensor mounting as ultrasound techniques do.

An L-shaped association between composite dietary antioxidant index and stroke: Evidence from NHANES 2011-2020

ObjectivesAntioxidant diets are considered to be protective factors against stroke. However, comprehensive measurement and evaluation of antioxidant diets are lacking. This study aimed to investigate the correlation between the Composite Dietary Antioxidant Index (CDAI) and stroke in adults. Materials and methodsIn this study, based on the National Health and Nutrition Examination Survey (NHANES) 2011-2020 data, multivariate logistic regression, smoothing curve fitting, and threshold effect analysis were used to explore the relationship between CDAI and stroke. Subgroup analyses and interaction tests were conducted to assess the stability of this association within the population. ResultsAmong 12,922 U.S. adults, there was a significant negative correlation between CDAI and the prevalence of stroke. In the fully adjusted model, the risk of stroke was reduced by 4 % for each 1-unit increase in CDAI (OR [95% CI] = 0.96 [0.93, 0.99]). Participants in the highest quartile of the CDAI had a 37 % lower risk of stroke than those in the lowest quartile (OR [95% CI] = 0.63 [0.47, 0.84]). This negative correlation remained stable across subgroups. Furthermore, the study revealed an L-shaped association between CDAI and stroke through smoothing curve fitting. The threshold effect analysis further identified the inflection point as -1.55. ConclusionsThis study revealed an L-shaped relationship between CDAI and stroke. Keeping CDAI in the proper range may help prevent stroke in the general population.

Adaptive behavior assessed by Vineland-3 as comprehensive outcome measure in vanishing white matter.

Investigate the results and usability of the Vineland-3 as an outcome measure in vanishing white matter patients. A cross-sectional investigation of the Vineland-3 based on interviews with caregivers, the Health Utilities Index, and the modified Rankin Scale in 64 vanishing white matter patients. Adaptive behavior measured with the Vineland-3 is impaired in the vast majority of vanishing white matter patients and significantly impacts daily life. Typically, the daily living skills domain is most severely affected and the socialization domain is the least affected. Based on the metric properties and the clinical relevance, the standard scores for the daily living skills domain and Adaptive Behavior Composite have the best properties to be used as an outcome measure. The Vineland-3 appears to be a useful outcome measure to explore and quantify complex cognitive, behavioral, and psychiatric impairments affecting daily functioning in vanishing white matter. Further research should address the longitudinal evaluation of this tool and its additional value to standard neuropsychological and clinical examination.

Serum Proteomic Signatures of Common Health Outcomes among Older Adults

Introduction: In aging populations, the coexistence of multiple health comorbidities represents a significant challenge for clinicians and researchers. Leveraging advances in omics techniques to characterize these health conditions may provide insight into disease pathogenesis as well as reveal biomarkers for monitoring, prognostication, and diagnosis. Researchers have previously established the utility of big data approaches with respect to comprehensive health outcome measurements in younger populations, identifying protein markers that may provide significant health information with a single blood sample. Methods: Here, we employed a similar approach in two cohorts of older adults, the Baltimore Longitudinal Study of Aging (mean age = 76.12 years) and InCHIANTI Study (mean age = 66.05 years), examining the relationship between levels of serum proteins and 5 key health outcomes: kidney function, fasting glucose, physical activity, lean body mass, and percent body fat. Results: Correlations between proteins and health outcomes were primarily shared across both older adult cohorts. We further identified that most proteins associated with health outcomes in the older adult cohorts were not associated with the same outcomes in a prior study of a younger population. A subset of proteins, adiponectin, MIC-1, and NCAM-120, were associated with at least three health outcomes in both older adult cohorts but not in the previously published younger cohort, suggesting that they may represent plausible markers of general health in older adult populations. Conclusion: Taken together, these findings suggest that comprehensive protein health markers have utility in aging populations and are distinct from those identified in younger adults, indicating unique mechanisms of disease with aging.

Application of Electrolyzed Hydrogen Water for Management of Chronic Kidney Disease and Dialysis Treatment-Perspective View.

Chronic kidney disease (CKD), which is globally on the rise, has become an urgent challenge from the perspective of public health, given its risk factors such as end-stage renal failure, cardiovascular diseases, and infections. The pathophysiology of CKD, including dialysis patients, is deeply associated with enhanced oxidative stress in both the kidneys and the entire body. Therefore, the introduction of a safe and widely applicable antioxidant therapy is expected as a measure against CKD. Electrolyzed hydrogen water (EHW) generated through the electrolysis of water has been confirmed to possess chemical antioxidant capabilities. In Japan, devices producing this water have become popular for household drinking water. In CKD model experiments conducted to date, drinking EHW has been shown to suppress the progression of kidney damage related to hypertension. Furthermore, clinical studies have reported that systemic oxidative stress in patients undergoing dialysis treatment using EHW is suppressed, leading to a reduction in the incidence of cardiovascular complications. In the future, considering EHW as one of the comprehensive measures against CKD holds significant importance. The medical utility of EHW is believed to be substantial, and further investigation is warranted.

Interprofessional evaluation of "soft skills" of students in the practical year

The present study deals with the implementation of a questionnaire with 360° evaluation to assess the performance of students in the practical year (PJ). A special focus is put on the "soft skills" (self-competence, methodological competence, social competence), whose evaluation in medical studies has not yet taken place comprehensively. The study was conducted prospectively with 21 PJ students of the Medical Faculty of the TU Dresden. The assessment was performed by means of a self-designed questionnaire, which was divided into 4 sub-competencies (self-competence, methodological competence, social competence, clinical skills and abilities), which could be assessed by means of a 6-point Likert scale. Four professions were involved in the assessment: Medical Service, Nursing Service, Functional Service, and Administration. On average, the strongest deficits in terms of self-confidence, willingness to perform, and ability to deal with conflict were revealed by students in the PJ. Students showed a very good performance in performing a medical history and basic skills of clinical examination. The implementation of 360° feedback is possible and useful for students in the internship year across disciplines and professions. Such personal and interprofessional feedback has not been widely available. The questionnaire represents the first comprehensive measurement tool of soft skills for medical students and provides a good basis for comprehensive feedback.

The personal epistemology of parents predicts the development of scientific reasoning in children aged 6-10 years.

The influence of the epistemological beliefs of parents on the development of comprehensive scientific reasoning abilities was investigated in a five-wave longitudinal study from kindergarten to elementary school. The 161 German 5-10-year-olds (89 girls, 72 boys) were assessed yearly on their scientific reasoning abilities using comprehensive measures for experimentation and data-interpretation skills, as well as understanding of the nature of science. The children were also tested on their language abilities and intelligence. Their parents completed a sociodemographics questionnaire and answered ten questions about their epistemological beliefs regarding (1) the interpretive nature of science, (2) the tentative nature of knowledge, and (3) the role of scientific framework theories. The personal epistemology of the parents significantly predicted the scientific reasoning development of their children regardless of the parents' education level and the children's general cognitive abilities. However, the effect of the epistemology of parents on their children's scientific reasoning was limited to the intercepts, suggesting that the epistemic understanding of parents affects how scientific reasoning develops in their children, but not the development speed. Although parental epistemology exerts substantial effects on scientific reasoning of their children, it did not affect their reading ability, suggesting an involvement of science-specific mechanisms rather than generalized family-based influences. These findings highlight the importance of family as a variable in the development of scientific reasoning, which is an area lacking in research, and it suggests that early interventions targeted at the epistemic understanding of caregivers can provide useful ways for promoting the reasoning of children. RESEARCH HIGHLIGHTS: A five-year longitudinal study shows significant development of scientific reasoning from kindergarten to elementary school. Caregivers' personal epistemology predicted scientific reasoning development-independent of children's general cognitive abilities and caregivers' level of education. The effect was most-pronounced for caregivers' understanding that social framework theories determine which aspects of science are accepted and how they are conducted. Caregivers' personal epistemology did not predict children's reading abilities, suggesting that the effect of the caregivers' epistemology on children's scientific reasoning is domain-specific.

Prevalence of frailty and related factors in middle-aged and elderly people in island and mountainous areas of Taizhou, Zhejiang Province

Objective: To compare the prevalence of frailty and related factors in middle-aged and elderly people aged ≥45 years in island and mountainous areas of Taizhou, Zhejiang Province. Methods: Based on cross-sectional design, stratified cluster sampling and quota sampling methods were adopted. One administrative district was randomly selected from each of six coastal and three inland administrative districts in Taizhou during July to August, representing two different geographical terrains. In the island area (Jiaojiang District), all residents aged ≥45 years were included by cluster sampling. In the mountainous area (Xianju County), participants were selected through quota sampling, with same gender and age distributions. Data about their demographic characteristics, lifestyle and health-related factors were collected through questionnaire surveys and laboratory examinations. The prevalence of frailty was assessed using the Fried frailty phenotype scale. Hierarchical analysis and multivariate logistic regression analysis were used to compare the influencing factors of frailty. Results: A total of 1 011 local residents were studied, in whom island and mountainous residents accounted for 48.1% (486/1 011) and 51.9% (525/1 011) respectively; men and women accounted for 45.9% (464/1 011) and 54.1% (547/1 011) respectively. Middle-aged (45-49 years), younger elderly (60-74 years), and older elderly (≥75 years) residents accounted for 38.6% (390/1 011), 44.6% (451/1 011), and 16.8% (170/1 011) respectively. The overall prevalence rate of frailty was 3.6% (36/1 011), the prevalence rate was 3.7% (17/464) in men and 3.5% (19/547) in women. The prevalence rates in age groups 45-59,60-74 years and ≥75 years were 0.3% (1/390), 2.2% (10/451), and 14.7% (25/170), respectively. The prevalence rates of frailty and pre-frailty in island area were 6.0% (29/486) and 39.1% (190/486), respectively, which was higher than those in mountainous area (1.3%, 7/525) and (30.9%, 162/525). After adjusting for potential confounding factors, the risk for frailty in island residents was significantly higher than that in mountainous residents (aOR=1.55,95%CI: 1.07-2.25,P=0.019). In island area, older age (60-74 years:aOR=2.52,95%CI: 1.56-4.13; ≥75 years:aOR=11.65,95%CI:5.38-26.70), being women (aOR=1.94,95%CI: 1.20-3.17), suffering from depression (aOR=1.09,95%CI:1.02-1.17) were associated with frailty symptoms. In mountainous area, older age was also associated with an increased risk of frailty symptoms, but the OR value was lower than those in island area (60-74 years: aOR=1.74,95%CI:1.04-2.94;≥75 years: aOR=4.78,95%CI:2.45-9.50). Polydrug use (aOR=2.08,95%CI: 1.14-3.80) and suffering from depression (aOR=1.10,95%CI: 1.02-1.18) had significant positive association with frailty symptoms. Higher education level had significant negative association with frailty symptoms (junior high school: aOR=0.40,95%CI: 0.21-0.75; senior high school and technical secondary school: aOR=0.29,95%CI: 0.15-0.53; college or above:aOR=0.22,95%CI: 0.11-0.42). Conclusions: The prevalence of frailty in middle-aged and elderly community residents was significantly higher in island area than in mountainous area in Taizhou. The frailty-related factors varied with area. The elderly people (≥75 years) and women in island area had higher risk for frailty. Older age and suffering from depression were the independent risk factors for frailty. It is necessary to pay attention to the health risk factors and special environment in island area, and take comprehensive intervention measures to delay the process of debilitation and improve the quality of life of middle-aged and elderly people.

New approach into human health risk assessment associated with heavy metals in surface water and groundwater using Monte Carlo Method

This study assessed the environmental and health risks associated with heavy metals in the water resources of Egypt's northwestern desert. The current approaches included the Spearman correlation matrix, principal component analysis, and cluster analysis to identify pollution sources and quality-controlling factors. Various indices (HPI, MI, HQ, HI, and CR) were applied to evaluate environmental and human health risks. Additionally, the Monte Carlo method was employed for probabilistic carcinogenic and non-carcinogenic risk assessment via oral and dermal exposure routes in adults and children. Notably, all water resources exhibited high pollution risks with HPI and MI values exceeding permissible limits (HPI > 100 and MI > 6), respectively. Furthermore, HI oral values indicated significant non-carcinogenic risks to both adults and children, while dermal contact posed a high risk to 19.4% of samples for adults and 77.6% of samples for children (HI > 1). Most water samples exhibited CR values exceeding 1 × 10–4 for Cd, Cr, and Pb, suggesting vulnerability to carcinogenic effects in both age groups. Monte Carlo simulations reinforced these findings, indicating a significant carcinogenic impact on children and adults. Consequently, comprehensive water treatment measures are urgently needed to mitigate carcinogenic and non-carcinogenic health risks in Siwa Oasis.

Outlier detection using conditional information entropy and rough set theory

Outlier detection is critically important in the field of data mining. Real-world data have the impreciseness and ambiguity which can be handled by means of rough set theory. Information entropy is an effective way to measure the uncertainty in an information system. Most outlier detection methods may be called unsupervised outlier detection because they are only dealt with unlabeled data. When sufficient labeled data are available, these methods are used in a decision information system, which means that the decision attribute is discarded. Thus, these methods maybe not right for outlier detection in a a decision information system. This paper proposes supervised outlier detection using conditional information entropy and rough set theory. Firstly, conditional information entropy in a decision information system based on rough set theory is calculated, which provides a more comprehensive measure of uncertainty. Then, the relative entropy and relative cardinality are put forward. Next, the degree of outlierness and weight function are presented to find outlier factors. Finally, a conditional information entropy-based outlier detection algorithm is given. The performance of the given algorithm is evaluated and compared with the existing outlier detection algorithms such as LOF, KNN, Forest, SVM, IE, and ECOD. Twelve data sets have been taken from UCI to prove its efficiency and performance. For example, the AUC value of CIE algorithm in the Hayes data set is 0.949, and the AUC values of LOF, KNN, SVM, Forest, IE and ECOD algorithms in the Hayes data set are 0.647, 0.572, 0.680, 0.676, 0.928 and 0.667, respectively. The advantage of the proposed outlier detection method is that it fully utilizes the decision information.

The Causal Effect of Early Marriage on Women's Bargaining Power: Evidence from Bangladesh

Abstract Early marriage restrains women's agency and bargaining strength in postmarital households, impairing their ability to make meaningful contributions to household decision making. This paper employs a comprehensive measure of women's empowerment in the domestic and productive spheres, and isolates the causal effect of age at marriage, instrumented by age at menarche, on their bargaining strength, using nationally representative data from Bangladesh. Results suggest that delayed marriages result in significantly higher empowerment scores and probability of being empowered for women, because of higher likelihood in achieving adequacy in their autonomy in agricultural production, control over income, ownership of assets and rights in those assets, and ability to speak in public. Favorable impacts of delayed marriage are also found on women's freedom of mobility, fertility choices, and their ability to decide on household expenses and investments, with the impacts likely coming via improvements in education and labor market outcomes when women married later.

Detection ranges of forest bird vocalisations: guidelines for passive acoustic monitoring

Passive acoustic monitoring has proven to have many advantages for monitoring efforts and research activities. However, there are considerations to be taken into account regarding the placement of autonomous sound recorders. Detection ranges differ among species and in response to variable conditions such as weather or the location of vocalising animals. It is thus important to the success of a research project to understand, with a certain degree of confidence, the distances at which birds might be detected. In two types of forests in Poland, we played back the vocalisations of 31 species of European forest birds exemplifying different singing characteristics. Based on recordings obtained along a 500-m transect, we estimated the probability of detection and maximum detection distance of each vocalisation. We broadcasted the recording at three heights of singing and repeated playbacks three times during the breeding season to evaluate the effect of vegetation growth. Our results revealed that environmental and meteorological factors had a significant influence on both detection probability and maximum detection distances. This work provides comprehensive measurements of detection distance for 31 bird species and can be used to plan passive acoustic monitoring research in Europe, taking into account species traits and individual characteristics of the study area.

Human health and ecology at risk: a case study of metal pollution in Lahore, Pakistan

BackgroundWith rapid industrial development, heavy metal contamination has become a major public health and ecological concern worldwide. Although knowledge about metal pollution in European water resources is increasing, monitoring data and assessments in developing countries are rare. In order to protect human health and aquatic ecosystems, it is necessary to investigate heavy metal content and its consequences to human health and ecology. Accordingly, we collected 200 water samples from different water resources including groundwater, canals, river and drains, and investigated metal contamination and its implications for human and ecological health. This is the first comprehensive study in the region that considered all the water resources for metal contamination and associated human health and ecological risks together.ResultsHere we show that the water resources of Lahore (Pakistan) are highly contaminated with metals, posing human and ecological health risks. Approximately 26% of the groundwater samples are unsuitable for drinking and carry the risk of cancer. Regarding dermal health risks, groundwater, canal, river, and drain water respectively showed 40%, 74%, 80%, and 90% of samples exceeding the threshold limit of the health risk index (HRI > 1). Regarding ecological risks, almost all the water samples exceeded the chronic and acute threshold limits for algae, fish, and crustaceans. Only 42% of groundwater samples were below the acute threshold limits. In the case of pollution index, 72%, 56%, and 100% of samples collected from canals, river Ravi, and drains were highly contaminated.ConclusionsIn conclusion, this comprehensive study shows high metal pollution in water resources and elucidates that human health and aquatic ecosystems are at high risk. Therefore, urgent and comprehensive measures are imperative to mitigate the escalating risks to human health and ecosystems.

The ethical implications of using generative chatbots in higher education

Incorporating artificial intelligence (AI) into education, specifically through generative chatbots, can transform teaching and learning for education professionals in both administrative and pedagogical ways. However, the ethical implications of using generative chatbots in education must be carefully considered. Ethical concerns about advanced chatbots have yet to be explored in the education sector. This short article introduces the ethical concerns associated with introducing platforms such as ChatGPT in education. The article outlines how handling sensitive student data by chatbots presents significant privacy challenges, thus requiring adherence to data protection regulations, which may not always be possible. It highlights the risk of algorithmic bias in chatbots, which could perpetuate societal biases, which can be problematic. The article also examines the balance between fostering student autonomy in learning and the potential impact on academic self-efficacy, noting the risk of over-reliance on AI for educational purposes. Plagiarism continues to emerge as a critical ethical concern, with AI-generated content threatening academic integrity. The article advocates for comprehensive measures to address these ethical issues, including clear policies, advanced plagiarism detection techniques, and innovative assessment methods. By addressing these ethical challenges, the article argues that educators, AI developers, policymakers, and students can fully harness the potential of chatbots in education, creating a more inclusive, empowering, and ethically sound educational future.

A systematic overview of bovine brucellosis and its implications for public health

Comprehensive study reveals the complex nature of bovine brucellosis, with special emphasis on its potential for transmission to humans. By adopting a systemic methodology thorough literature search was done, including publications published during 1897 to 2022, form academic databases, research repositories, and scholarly credible literature sources. The criteria for being included in this study ensured an in-depth investigation of the previous and current facets of the disease. The methodological extraction and processing of data enabled for the categorising of pertinent findings into particular groups, which enhanced the comprehension of characteristics, transmission trends, clinical aspects, diagnostic tools, treatment options, prevention strategies, vaccination, and public health concerns. This study highlights the importance of this zoonotic threat indicating the compelling need of effective solutions of this problem by keeping in view the zoonotic variables and epidemiological views. Understanding disease origins and transmission patterns help design effective control strategies that are tailored to each mode of transmission. A detailed evaluation of symptoms shows that humans and animals need appropriate diagnosis. Comprehensive treatment and preventative measures are supported by the review. The study of vaccination as a preventive measure underlines its importance in eliminating bovine brucellosis. Public health issues require knowledge, surveillance, and economic concerns. In conclusion, this comprehensive study not only explores uncharted research grounds but also serves as a beacon for researchers and policy makers. Through an in-depth analysis of the interaction between bovine brucellosis and public health, findings in this study provide crucial information that is useful to a wide range of stakeholders. This systemic review provides a clear and comprehensive perspective of the public health implication of bovine brucellosis by emphasising the need of specific interventions and preventive measures.