Tool For Prevention Research Articles

Therapeutic Potential of Natural Compounds Acting through Epigenetic Mechanisms in Cardiovascular Diseases: Current Findings and Future Directions.

Cardiovascular diseases (CVDs) remain a leading global cause of morbidity and mortality. These diseases have a multifaceted nature being influenced by a multitude of biochemical, genetic, environmental, and behavioral factors. Epigenetic modifications have a crucial role in the onset and progression of CVD. Epigenetics, which regulates gene activity without altering the DNA's primary structure, can modulate cardiovascular homeostasis through DNA methylation, histone modification, and non-coding RNA regulation. The effects of environmental stimuli on CVD are mediated by epigenetic changes, which can be reversible and, hence, are susceptible to pharmacological interventions. This represents an opportunity to prevent diseases by targeting harmful epigenetic modifications. Factors such as high-fat diets or nutrient deficiencies can influence epigenetic enzymes, affecting fetal growth, metabolism, oxidative stress, inflammation, and atherosclerosis. Recent studies have shown that plant-derived bioactive compounds can modulate epigenetic regulators and inflammatory responses, contributing to the cardioprotective effects of diets. Understanding these nutriepigenetic effects and their reversibility is crucial for developing effective interventions to combat CVD. This review delves into the general mechanisms of epigenetics, its regulatory roles in CVD, and the potential of epigenetics as a CVD therapeutic strategy. It also examines the role of epigenetic natural compounds (ENCs) in CVD and their potential as intervention tools for prevention and therapy.

Advancements in treatment strategies for periprosthetic joint infections: A comprehensive review

Periprosthetic joint infection (PJI) presents a critical challenge in orthopedic care, contributing to significant patient morbidity and healthcare costs. This burden is expected to increase secondary to growing demand for total joint arthroplasty (TJA). Despite the profound significance of PJI, there is currently no universally accepted “gold standard” diagnostic criteria using serum biomarker thresholds; latest criteria fail to differentiate acute infections from chronic or consider time since initial surgery. Furthermore, contemporary PJI treatment, which conventionally requires 2-stage revision surgery in conjunction with rigorous antibiotic treatment, can be particularly taxing on patients. Fortunately, recent years have seen marked evolution in both PJI diagnosis and treatment methods. Contemporary research supports time-dependent serum biomarker thresholds with greater sensitivity and specificity than previously reported, as well as alternative surgical options which may be more suitable for certain patients.The following narrative review aims to describe the significance and pathogenesis of PJI before characterizing current challenges, novel innovations, and the future landscape of PJI diagnosis and management. Here, we spotlight the emerging utility of novel biomarkers and metagenomic next-generation sequencing for diagnosis, advancements in patient-centered surgical outcome prediction tools for PJI risk assessment and prevention, and evolving surgical techniques including 1-stage and a “hybrid” 1.5-stage revision surgeries. Additionally, we explore cutting-edge therapeutic modalities including peptide and bacteriophage-based treatments, intraoperative anti-biofilm gel, the VT-X7 antibiotic pump, and promising immune-based interventions. Ultimately, these advancements hold the potential to revolutionize PJI management, offering hope for improved outcomes and reduced burdens on healthcare systems.

Synergic Effect of the Antimicrobial Peptide ToAP2 and Fluconazole on Candida albicans Biofilms.

Candida albicans is one of the agents of invasive candidiasis, a life-threatening disease strongly associated with hospitalization, particularly among patients in intensive care units with central venous catheters. This study aimed to evaluate the synergistic activity of the antifungal peptide ToAP2 combined with fluconazole against C. albicans biofilms grown on various materials. We tested combinations of different concentrations of the peptide ToAP2 with fluconazole on C. albicans biofilms. These biofilms were generated on 96-well plates, intravenous catheters, and infusion tubes in RPMI medium at two maturation stages. Scanning electron microscopy and atomic force microscopy were employed to assess the biofilm structure. We also evaluated the expression of genes previously proven to be involved in C. albicans biofilm formation in planktonic and biofilm cells after treatment with the peptide ToAP2 using qPCR. ToAP2 demonstrated a synergistic effect with fluconazole at concentrations up to 25 µM during both the early and mature stages of biofilm formation in 96-well plates and on medical devices. Combinations of 50, 25, and 12.5 µM of ToAP2 with 52 µM of fluconazole significantly reduced the biofilm viability compared to individual treatments and untreated controls. These results were supported by substantial structural changes in the biofilms observed through both scanning and atomic force microscopy. The gene expression analysis of C. albicans cells treated with 25 µM of ToAP2 revealed a decrease in the expression of genes associated with membrane synthesis, along with an increase in the expression of genes involved in efflux pumps, adhesins, and filamentation. Our results highlight the efficacy of the combined ToAP2 and fluconazole treatment against C. albicans biofilms. This combination not only shows therapeutic potential but also suggests its utility in developing preventive biofilm tools for intravenous catheters.

Asymptomatic malaria and predictors among migrant farmworkers East Shewa zone Oromia Ethiopia

Asymptomatic malaria can impact existing malaria control and elimination efforts around the world, particularly in Africa, where the majority of malaria cases and death occurs. This is a cross-sectional study aimed to determine the prevalence and predictors of asymptomatic malaria among migrant farmworkers from June to July 2020 in the Upper Awash Agro-industry, East Shewa zone, Oromia Regional State, Ethiopia. A total of 254 migrant farmworkers without signs and symptoms of malaria were enrolled. Data on socio-demographic characteristics and malaria prevention practices were obtained through a structured questionnaire. Venous blood samples were collected and diagnosed using microscopy, rapid diagnostic tests, and polymerase chain reaction (PCR). Data were coded, entered, and analyzed using SPSS version-21 statistical software. Multivariable logistic regression was used to assess associated factors. A p < 0.05 was considered statistically significant. The overall prevalence of asymptomatic malaria among farmworkers in this study was 5.1% [95% CI 1.6, 6.7]. The proportions of Plasmodium falciparum was 90.0% (9/10) while it was 10.0% (1/10) for Plasmodium vivax. Out of the microscopy and/or RDT-confirmed malaria cases, (n = 9; 100%) were confirmed to be P. falciparum by nested PCR, while (n = 3/122; 2.46%) were found to be P. falciparum among 50% negative cases with the microscopy and/or RDT. The gametocyte stage was detected in 40% of microscopically positive cases out of which 44.4% belongs to P. falciparum. Home area/origin of migrant laborers [AOR = 6.08, (95% CI 1.08, 34.66)], family history of malaria [AOR = 8.15, (95% CI 1.43, 46.44)], and outdoor sleeping [AOR = 10.14, (95% CI 1.15, 89.14)] were significantly associated with asymptomatic malaria. In conclusion, asymptomatic malaria was detected among farmworkers in the study area and it was significantly associated with outdoor sleeping, home area, and family history of malaria. Prevention tools and control strategies, particularly focusing on migrant farmworkers, should be considered to support the ongoing malaria control and elimination effort in Ethiopia.

Процедура медиации как проявление юридической превенции

The article is devoted to the consideration of the mediation procedure from the standpoint of legal prevention. The necessity of expanding the use of the mediation procedure in order to prevent negative phenomena, such as the workload of the judiciary, the escalation of disputes, the breakdown of partnerships and socially useful ties, is substantiated. A constructive dialogue is considered as the main preventive tool of the mediation procedure, attention is paid to the basics of a constructive dialogue in resolving a legal dispute. The preventive potential of the mediation procedure is revealed in resolving legal disputes arising in certain areas of public relations.

Vaccination in children living with HIV – review of Polish recommendations

Vaccines are an extremely effective primary prevention tool recommended for routine use in children worldwide. Vaccination is crucial for patients with underlying diseases, including children living with HIV, because of their increased risk of morbidity and mortality from various vaccine-preventable diseases. Complex care for patients living with HIV includes antiretroviral therapy (which has dramatically improved survival), prophylaxis and treatment of common infections, prophylaxis and treatment of opportunistic infections, and vaccination. Immunisation is generally safe and beneficial for children living with HIV, although HIV-induced immune suppression reduces the benefits. All inactivated vaccines, whether killed whole organism or subunit, recombinant, toxoid, polysaccharide or conjugate (which includes diphtheria, tetanus, pertussis, poliomyelitis, Haemophilus influenzae type b, hepatitis B, hepatitis A, Streptococcus pneumoniae vaccines, Neisseria meningitidis, influenza, HPV), can be administered safely. Live attenuated measles–mumps–rubella and varicella vaccines are indicated in children without severe immunodeficiency. The Bacillus Calmette–Guérin vaccine is contraindicated due to the risk of disseminated BCG infection. Although a live attenuated influenza vaccine is available, it is contraindicated for people living with HIV because of the paucity of safety data and the availability of alternative vaccines. The study reviews the current paediatric immunisation recommendations in HIV infection in Poland. Additionally, we focus on vaccine effectiveness, especially HBV protection based on anti-Hbs antibodies.

An Efficient Deep Learning Framework for Feature Selection in IoT-Based Heart Disease Prediction

Heart disease remains a leading cause of morbidity and mortality worldwide, necessitating the development of efficient diagnostic tools for early detection and prevention. With the rise of large-scale medical data, leveraging advanced computational techniques such as deep learning has become critical for accurate heart disease classification. This paper proposes an efficient framework for feature extraction and feature selection techniques, utilizing deep learning models to improve classification accuracy for heart disease using Internet of Things (IoT). The framework integrates convolutional neural networks (CNNs) for feature extraction and employs a hybrid method combining Recursive Feature Elimination (RFE) with Principal Component Analysis (PCA) for feature selection. The proposed framework is evaluated on the UCI Heart Disease dataset, achieving a classification accuracy of 91.3%, precision of 90.8%, recall of 89.9%, and an F1-score of 90.3%. The model outperforms traditional methods such as SVM and random forests, which achieved accuracies of 85.2% and 86.5%, respectively. These findings demonstrate the efficacy of the proposed framework in heart disease classification and its potential for real-time clinical applications.

Understanding the awareness of health and safety signs amongst health care workers in Pakistan - A cross-sectional study.

Safety signs are very important communication tools for accident prevention, fire safety, health hazard information, and emergency evacuation. However, they are helpful only when properly designed and understood by employees. The purpose of the present study was to assess the awareness of health and safety signs amongst health care workers including doctors, dentists and paramedics in different health care sectors across Pakistan. Data was collected via Google forms circulated through WhatsApp social media to predetermined groups of health care professionals to assess their understanding of safety signs across different health sectors. The survey included questions pertaining to awareness of 19 different health and safety signs complied with International Organization for Standardization 1710 and the Safety Signs and Signal Regulations 1996 chosen randomly. A total of 987 people participated in our study and were asked to comprehend the meaning of nineteen health and safety signs. The mean comprehension score for 19 signs was 42.2%. The mean score for warning signs was the lowest and fire safety signs was highest. The lowest comprehension scores were for oxygen cylinder sign (W029) 7.5% and highest for first aid sign (E003) 75.9%. Only two signs, that are first aid (E003) and mandatory gloves (M009) had acceptable comprehensive score of 75.9% and 73.7% respectively as per ISO 7010 i.e. >67%. Statistically significant differences were found only for trip hazard sign (W007) with respect to education and for risks of bomb explosion (W002), ionising radiation (W009), evacuation assembly point (E007), location of automated external heart defibrillator (E010) and mandatory gloves (M009) with work experience. Based on our results, we conclude that there is dire need of special and frequent training to better recognize the safety signs amongst health care employees since these kinds of interventions promote early detection of hazards and their associated risks. Thus, we propose that health care safety sign training must be included in every health care profession curriculum.

Quantitative Assessment and Validation of Groundwater Pollution Risk in Southwest Karst Area

AbstractGroundwater pollution risk assessment is a useful tool for groundwater pollution prevention and control. However, it is difficult to accurately quantify groundwater flow and contaminant fluxes in karst areas and different types of karst areas have different hydrogeological characteristics. Therefore, the assessment of groundwater pollution risk in karst areas must use different assessment indicator systems. This study developed a new methodology that modified the vulnerability assessment model PLEIK, determined pollutant fluxes considering hydrogeological conditions, and revised parameter weights using the random forest method. The resulting PLEIKD-RF model was used to assess the risk of groundwater contamination in the southwestern karst region and its validity was verified. The results showed that the groundwater pollution risk in the region was low, with 65.64% of the low and relatively low risk areas located in the middle and high mountainous regions. 11.81% of the high and relatively high risk areas were sporadically located in the western and central regions, which were mainly controlled by the distribution of the pollution sources and the karst development. The accuracy of the results of groundwater pollution risk assessment in the study area was 71.87% as verified by the horizontal difference method. The results of the sensitivity analysis indicated that accurate, detailed, and representative data on the protective layer, surface water-groundwater interactions, and pollution source loads would improve the accuracy of groundwater pollution risk zoning. This assessment method provided a reference for similar assessments and the results provide a basis for the protection and management of groundwater resources in the region.

Role of Dapagliflozin in Prevention of Contrast Induced Nephropathy in Diabetic Patients Undergoing Primary Percutaneous Coronary Intervention

Abstract Background Contrast induced nephropathy (CIN), is a known complication of any coronary intervention regardless the amount of contrast. Studies have shown that patients who develop CIN have a greater risk for death or prolonged hospitalization, as well as for other adverse outcomes, including early or late cardiovascular events especially if after percutaneous coronary intervention (PCI). Research is continuous to find pharmacological interventions to prevent CIN. While many therapies in prevention of CIN have been studied, only good hydration has been proven to be of benefit. This Abstractattempt to provide the role of dapagliflozin in prevention of CIN. Aim and objectives The aim of the study was to study the efficacy of dapagliflozin administration as a preventive tool for Contrast induced nephropathy (CIN), in diabetic patients undergoing primary percutaneous coronary intervention (PCI). Patients and Methods This study included 250 diabetic patients presented to emergency departments of Ain shams university hospitals from July 2021 till June 2022 and diagnosed with STEMI as being defined as Patients with ST elevation myocardial infarction defined as having symptoms of ischemia and ST-segment elevation of at least two contiguous leads with ST-segment elevation ≥ 2.5 mm in men &amp;lt; 40 years, ≥2 mm in men ≥ 40 years, or ≥ 1.5 mm in women in leads V2 – V3 and/or ≥ 1 mm in the other leads 1, that had been revascularized by primary PCI as per the recommendations of The European society of cardiology guidelines for diagnosis and management of ST elevation myocardial infarction published in 2017. CIN was defined by renal function impairment after IV contrast as mirrored by an absolute increase by 0.5mg/dL (or greater) or relative increase by 25% (or greater) of baseline serum creatinine over 48 hours or, better, by a decrease by 25% in the estimated glomerular filtration rate (eGFR(. The patients were randomized using dedicated software programme into two groups. Study group including 125 patients was the dapagliflozin group. Control group including 125 patients was the standard control group. Results Our study had demonstrated that a higher proportion of patients developed CIN in the control group (21 (16.8%)) vs (13 (10.4%)) in the study group (dapagliflozin group) but it didn’t reach a statistically significant difference with P-value =0.139. Conclusion Dapagliflozin failed to prove any statistically significant prevention against CIN.

Application of remote sensing to understand the role of Galician feral horses in the biomass reduction of a shrub-grassland-dominated landscape

Galician forests in northwestern Spain are subject to frequent wildfires with high environmental and economic costs. In addition, due to the consequences of climate change, these fires are becoming more virulent, occurring throughout the year, and taking place in populated areas, in some cases involving the loss of human life. Therefore, forest fire prevention is even more relevant than mitigating its consequences. Given the costs involved in forestry work, alternative measures to reduce fuel load and create vegetation gaps are needed. One involves grazing by an endemic species of feral horses (Equus ferus atlanticus) that feed on thicket-forming gorse (Ulex europaeus). In a 100-ha forest fenced study area stocked with 11 horses, four 50 m2 enclosed plots prevented the access of these wild animals to the vegetation, with the aim of manipulating their impact on the reduction of forest biomass. The measurement of biomass volumes is an important method that can describe the assessment of wildfire risks, unfortunately, high-resolution data collection at the regional scale is very time-consuming. The best result can be using drones (unmanned aerial vehicles - UAVs) as a method of collecting remotely sensed data at low cost. From September 2018 to November 2020, we collected information about aboveground biomass from these four enclosed plots and their surrounding areas available for horses to forage, via UAV. These data, together with environmental variables from the study site, were used as input for a fire model to assess the differences in the surface rate of spread (SROS) among grazed and ungrazed areas. Our results indicated a consistent but small reduction in the SROS between 0.55 and 3.10 m/min in the ungrazed enclosured plots in comparison to their grazed surrounding areas (which have an SROS between 15 and 25 m/min). The research showed that radar remote sensing (UAV) can be used to map forest aboveground biomass, and emphasized the importance and role of feral horses in Galicia as a prevention tool against wildfires in gorse-dominated landscapes.

From Swiffers to Solutions: The Impact of Environmental Sampling in the Veterinary Medical Center at OSU

Background: In 2018, the Ohio State University College of Veterinary Medicine (OSU CVM) implemented an Antimicrobial Stewardship Program, central to which was the integration of an environmental surveillance (ES) program. The ES focuses on pathogens recognized as urgent threats to public health by the Centers for Disease Control and Prevention. The pathogens currently targeted include carbapenemase-producing Enterobacterales (CPE), Salmonella spp., methicillin-resistant Staphylococcus spp. (MRSs), vancomycin resistant Enterococcus spp., and enrofloxacin resistant Pseudomonas aeruginosa. Identification of these pathogens allows the hospital to be aware of the local environmental microflora which can act as a sentinel for disease in the hospital, potentially causing healthcare associated infections. Therefore, the objective of this program is to identify resistant bacterial pathogens, characterize their resistance profiles, analyze prevalence patterns, and initiate infection control interventions where needed in the OSU VMC. Method: From January 2018 through December 2023, a total of 5449 samples were collected from approximately 86 locations across the OSU VMC encompassing the small animal, equine, and farm animal sections. A majority (64%, n=3561) of samples were collected from the small animal hospital, with the farm animal section contributing 1055 samples and the equine section 899. Areas sampled were frequented by both humans and animals, as well as surfaces exclusively touched by humans. Samples were collected using Swiffers® and processed through selective culture media. Result: Approximately half (52%, n=2890) of the samples collected represented human-touch only surfaces. A total of 3794 bacterial isolates were recovered, with an overall low prevalence for all targeted pathogens. Prevalence of CPE was 2% (n=103), with Enterobacter species being the most common. Recovery of MRSs was 8.5% (n=464) and Salmonella species was 1% (n=47). Conclusion: Through this initiative, the equine division of the OSU VMC collaborated with the antimicrobial stewardship team to enhance their Salmonella fecal and ES practices. In 2019, ES was critical in identifying persistent CPE and extended-spectrum cephalosporin-resistant Enterobacteriaceae in the ICU and surrounding areas of the small animal hospital. Effective measures were taken to halt the spread of ESC among patients and eliminate CPE in the environment. With the discovery of a new CPE in early 2023 in the small animal ICU and nearby areas, the program initiated targeted ES and cleaning and disinfection protocols, to identify contaminated areas and control disease transmission. These efforts have increased patient safety, health, and well-being, demonstrating how ES can be an important tool for infection control and prevention in veterinary settings.

Changes in risk behaviour following a network peer education intervention for HIV prevention among male Tajik migrants who inject drugs in Moscow: a cluster-randomized controlled trial.

The "Migrants' Approached Self-Learning Intervention in HIV/AIDS for Tajiks" (MASLIHAT) recruits and trains Tajik labour migrants who inject drugs as peer educators (PEs) in delivering HIV prevention information and encouragement to adopt risk-reduction norms and practices within their diaspora social networks while reducing their own HIV risk. The MASLIHAT intervention was tested in Moscow in a cluster-randomized controlled trial with 12 recruitment sites assigned to either the MASLIHAT intervention or an equal-time peer-educator training focused on other health conditions (TANSIHAT). From October 2021 to April 2022, 140 male Tajik migrants who inject drugs were recruited as PEs to attend the 5-session MASLIHAT training or the TANSIHAT non-HIV comparison condition. Each participant in both groups recruited two network members (NMs) who inject drugs with the intent to share with them the information and positive strategies for change they had learned (n = 280). All PEs and NMs (n = 420) participated in baseline and follow-up interviews at 3-month intervals for 1 year. All received HIV counselling and testing. Modified mixed effects Poisson regressions tested for group differences in injection practices, sexual risk behaviours and heavy alcohol use over time. At baseline, across both groups, 75% of participants reported receptive syringe sharing (RSS), 42% reported condomless sex and 20% reported binge drinking at least once a month. In contrast to TANSIHAT where HIV risk behaviours remained the same, significant intervention effects that were sustained over the 12 months were observed for receptive syringe and ancillary equipment sharing among both MASLIHAT PEs and NMs (p < 0.0001). Significant declines in the prevalence of sexual risk behaviours were also associated with the MASLIHAT intervention (p < 0.01), but not the comparison condition. Binge alcohol use was not affected in either condition; the MASLIHAT intervention had a transitory effect on drinking frequency that dissipated after 9 months. The MASLIHAT peer-education intervention proved highly effective in reducing HIV-related injection risk behaviour, and moderately effective in reducing sexual risk behaviour among both PEs and NMs. Network-based peer education is an important tool for HIV prevention among people who inject drugs, especially in environments that are not amenable to community-based harm reduction.

Real-time Whole Genome Sequencing Surveillance as an Effective Outbreak Detection and Mitigation Tool

Background: Detection of outbreaks traditionally relies on passive surveillance, and often misidentify or miss outbreaks. Whole genome sequencing (WGS) surveillance has emerged as a proactive measure, enabling early detection of outbreaks and facilitating rapid intervention strategies. WGS surveillance has not been widely studied due to infrastructure, cost, and evidence barriers regarding its impact on reducing healthcare-associated infections (HAIs). This study represents findings from two years of a real-time WGS surveillance program called the Enhanced Detection System for Healthcare-associated Transmission (EDS-HAT). Methods: The study was conducted at UPMC Presbyterian hospital, a 694-bed tertiary care center. Patient isolates of select bacterial pathogens were collected and underwent WGS weekly from November 2021 to November 2023. Potential transmission was defined using single-nucleotide polymorphism thresholds (≤15 for all organisms except Clostridioides difficile). Genetically related clusters were reviewed weekly for epidemiological linkages (unit, personnel, or procedural commonalities) and appropriate interventions were initiated by the infection prevention and control team. We described the frequency of genetic relatedness and nature of epidemiological linkages. Results: Of 7,051 eligible unique patient organism isolates, 4,723 were deemed healthcare-associated and underwent WGS. EDS-HAT identified 478 (12.2%) isolates genetically related to ≥1 other isolate across 173 clusters. Epidemiological links were found in 278 (58.2%) isolates in 114 clusters, with the majority being unit-based (205 isolates, 71.9%); other epidemiological links included equipment or healthcare workers (32 isolates, 11.5%), external facilities (24 isolates, 8.6%), and shared endoscopes (17 isolates, 6.1%); all endoscope outbreaks were effectively contained at two patients. No epidemiological links could be identified for 200 (41.8%) isolates. Infection prevention initiated 134 interventions in 114 clusters, including 74 (55.2%) general staff notification and education, 25 (18.7%) enhanced cleaning efforts, 23 (17.2%) hand hygiene/personal-protective equipment compliance observations, 9 (6.7%) environmental cultures, and 3 (2.2%) enhanced microbiological surveillance. Following the detection of an epidemiological link and intervention, 94/101 (94.1%) outbreaks were effectively halted on the intervened route (Figure). Conclusion: This study demonstrates the feasibility and efficacy of EDS-HAT as an infection prevention tool. Early detection and intervention of outbreaks significantly enhance the capability of healthcare facilities to control and prevent the spread of HAIs. Investment in infrastructure and implementation costs will result in reducing pathogen transmission and improving patient safety in acute care settings.Disclosure: Alexander Sundermann: Honoraria - Opgen

Biosensors for Public Health and Environmental Monitoring: The Case for Sustainable Biosensing.

Climate change is a profound crisis that affects every aspect of life, including public health. Changes in environmental conditions can promote the spread of pathogens and the development of new mutants and strains. Early detection is essential in managing and controlling this spread and improving overall health outcomes. This perspective article introduces basic biosensing concepts and various biosensors, including electrochemical, optical, mass-based, nano biosensors, and single-molecule biosensors, as important sustainability and public health preventive tools. The discussion also includes how the sustainability of a biosensor is crucial to minimizing environmental impacts and ensuring the long-term availability of vital technologies and resources for healthcare, environmental monitoring, and beyond. One promising avenue for pathogen screening could be the electrical detection of biomolecules at the single-molecule level, and some recent developments based on single-molecule bioelectronics using the Scanning Tunneling Microscopy-assisted break junctions (STM-BJ) technique are shown here. Using this technique, biomolecules can be detected with high sensitivity, eliminating the need for amplification and cell culture steps, thereby enhancing speed and efficiency. Furthermore, the STM-BJ technique demonstrates exceptional specificity, accurately detects single-base mismatches, and exhibits a detection limit essentially at the level of individual biomolecules. Finally, a case is made here for sustainable biosensors, how they can help, the paradigm shift needed to achieve them, and some potential applications.

Women's preferences for HIV prevention service delivery in pharmacies during pregnancy in Western Kenya: a discrete choice experiment.

Pharmacy-delivered HIV prevention services might create more options for pregnant women to use HIV prevention tools earlier and more consistently during pregnancy. We quantified preferences for attributes of potential HIV prevention services among women of childbearing age in Western Kenya. From June to November 2023, we administered a face-to-face discrete choice experiment survey to women aged 15-44 in Kenya's Homa Bay, Kisumu and Siaya counties. The survey evaluated preferences for HIV prevention services, described by seven attributes: service location, travel time, type of HIV test, sexually transmitted infection (STI) testing, partner HIV testing, pre-exposure prophylaxis (PrEP) and service fee. Participants answered a series of 12-choice questions. Each question asked them to select one of two service options or no services-an opt-out option. We used hierarchical Bayesian modelling levels to estimate each attribute level's coefficient and understand how attributes influenced service choice. Overall, 599 participants completed the survey, among whom the median age was 23 years (IQR: 18-27); 33% were married, 20% had a job and worked regularly, and 52% had been pregnant before. Participants, on average, strongly preferred having any HIV prevention service option over none (opt-out preference weight: -5.84 [95% CI: -5.97, -5.72]). The most important attributes were the availability of PrEP (relative importance 27.04% [95% CI: 25.98%, 28.11%]), followed by STI testing (relative importance 20.26% [95% CI: 19.52%, 21.01%]) and partner HIV testing (relative importance: 16.35% [95% CI: 15.79%, 16.90%]). While, on average, participants preferred obtaining services at the clinic more than pharmacies, women prioritized the availability of PrEP, STI testing and partner HIV testing more than the location or cost. These findings suggest the importance of providing comprehensive HIV prevention services and ensuring PrEP, STI testing and partner HIV testing are available. If pharmacies can offer these services, women are likely to access those services at pharmacies even if they prefer clinics.

Evaluating the Usability of mHealth Apps: An Evaluation Model Based on Task Analysis Methods and Eye Movement Data.

Advancements in information technology have facilitated the emergence of mHealth apps as crucial tools for health management and chronic disease prevention. This research work focuses on mHealth apps for the management of diabetes by patients on their own. Given that China has the highest number of diabetes patients in the world, with 141 million people and a prevalence rate of 12.8% (mentioned in the Global Overview of Diabetes), the development of a usability research methodology to assess and validate the user-friendliness of apps is necessary. This study describes a usability evaluation model that combines task analysis methods and eye movement data. A blood glucose recording application was designed to be evaluated. The evaluation was designed based on the model, and the feasibility of the model was demonstrated by comparing the usability of the blood glucose logging application before and after a prototype modification based on the improvement suggestions derived from the evaluation. Tests showed that an improvement plan based on error logs and post-task questionnaires for task analysis improves interaction usability by about 24%, in addition to an improvement plan based on eye movement data analysis for hotspot movement acceleration that improves information access usability by about 15%. The results demonstrate that this study presents a usability evaluation model for mHealth apps that enables the effective evaluation of the usability of mHealth apps.

Pengembangan Aplikasi Mobile Android untuk Deteksi Otomatis Mata Katarak Menggunakan CNN dan Tensorflow

The development of an Android mobile application for automatic cataract detection using Convolutional Neural Network (CNN) and TensorFlow has been conducted. The aim of this research is to provide an easily accessible solution for the public to detect cataracts early, thereby reducing the negative impact of this eye condition. The CNN method is utilized to recognize cataract patterns through image data, with TensorFlow serving as the primary development platform. Preprocessing steps and data processing are implemented to enhance the detection accuracy and address variations in eye images. Evaluation indicates that the application is capable of detecting cataracts with satisfactory accuracy, making it a potential tool for cataract prevention and early management. In conclusion, this application enables rapid and efficient cataract detection, improving the accessibility of eye care and contributing to enhancing overall quality of life for communities by providing early intervention and treatment options.

Lung Infection Detection via CT Images and Transfer Learning Techniques in Deep Learning

Healthcare systems are battling the global coronavirus epidemic with limited resources, requiring early diagnosis and enhanced tools for pandemic prevention. The computer can aid in diagnosis via computed tomography images like PCR. Deep learning and machine learning are popular methods, and their main contributions are COVID-19 detection and prediction. This work aimed to develop an AI-based early detection strategy for COVID-19 based on computed tomography images. The model was trained and tested using a dataset that includes CT images. The SARS-COV-2 dataset contains 2482 CT images of 210 patients from publicly available sources. The modified model demonstrated encouraging outcomes by greatly enhancing the sensitivity measure (95.82±1.75), which is an essential criterion for accurately detecting instances of COVID-19 infection. In addition, the model generated higher values for the accuracy metric (91.67±1.68), the specificity (88.08±3.72), the precision metric (87.51±3.27), the F1_score (91.43±1.55), and the area under the curve (91.98±1.55). Deep learning techniques significantly facilitate the early detection of COVID-19. Its use has the potential to improve clinical doctors' readiness and the management of pandemics.

Scale of perceived exertion as injury prevention tool for young football players

Objective: evaluation of the feasibility of using the Borg CR10 perceived exertion scale in the training process of young football players and its role in injury prevention.Material and methods: 48 athletes aged 15–17 were examined by scale of perceived exertion during the 7 month every day within 20 minutes after the training. The coaches also assessed the degree of perceived exertion. A comparative retrospective analysis of injuries was done for the periods of the mycrocycle of the youth football league of the seasons 2020–2021 and 2021–2022 based on muscle injuries, ligament and joint capsular injuries.Results: Athletes’ scores on the Borg CR10 scale in the preparation, competition and transitional stages of the competitive macrocycle are 5.08 ± 1.28, 5.00 ± 1.16 and 4.67 ± 1.38, respectively. The coaches’ scores for the aforementioned periods are 4.78 ± 0.89, 5.09 ± 1.05 and 4.82 ± 0.99. The total scores of players and coaches is 5.20 ± 1.85 and 4.96 ± 1 respectively. Moreover, there is no statistically significant difference between the rate of perceived exertion between players and coaches for the whole season (p = 0.288).There is a decreased injury rate in young professional athletes group when the Borg CR10 scale of perceived exertion is measured in a season with the use of this scale compared to a season where the Borg CR 10 scale was not used (p = 0,028).Conclusion: the Borg СR10 scale is a useful methodology for assessing the level of perceived exertion of a young athlete and can be used for early training corrections in order to reduce injuries.