Control Measures Research Articles

Assessing the Efficacy of Gene-Drive Technology in Reducing Malaria Transmission in Sub-Saharan Africa: Current Progress and Future Prospects

Malaria continues to pose a significant public health challenge in Sub-Saharan Africa, necessitating innovative solutions to combat its transmission. This review examined the efficacy of gene-drive technology as a novel approach to reducing malaria transmission through genetic modifications of Anopheles mosquitoes. Utilizing a comprehensive literature review and analysis of experimental studies and pilot projects, we assessed the mechanisms of gene drives, including population suppression and replacement strategies. The findings indicated that gene-drive technology has the potential to significantly alter mosquito populations, thereby diminishing the burden of malaria. However, challenges such as ecological concerns, regulatory complexities, and public acceptance must be addressed for successful implementation. The integration of gene drives with existing malaria control measures, collaborative research efforts, and robust ethical governance is crucial for maximizing effectiveness and ensuring sustainable outcomes. Furthermore, monitoring and evaluation systems are essential for assessing the safety and efficacy of gene-drive initiatives. This review underscored the transformative potential of gene-drive technology in malaria prevention, advocating for continued dialogue among stakeholders to navigate the complexities associated with its application in Sub-Saharan Africa. Keywords: Gene-drive technology, Malaria transmission, Anopheles mosquitoes, Public health, Sub-Saharan Africa.

High rates of violence and low police reporting amongst sex workers in the Netherlands during the COVID-19 pandemic

IntroductionDuring the COVID-19 pandemic, sex work in the Netherlands was forbidden for many months, yet most sex workers were not eligible for governmental financial support. Therefore, many were forced to continue working illegally, likely leading to unsafe work conditions. We determined sex workers’ experienced violence and police reporting during the COVID-19 pandemic.MethodsData were collected through an online, anonymous survey (N = 173) covering background characteristics, the financial impact of the COVID-19 control measures, experienced sexual and/or physical violence, and police reporting in relation to experienced violence in 2021. We analyzed the data through descriptive statistics and multiple logistic regression analysis. Contextualization was achieved through online focus group discussions (FGDs; N = 3 covering a total of 14 sex workers and 4 social/health workers).ResultsIn total, 41% (n/N = 71/173) of sex workers reported at least one form of violence, and those facing severe financial problems due to the COVID-19 containment measures were significantly more likely to report violence (adjusted OR: 2.7, CI 1.0–7.2, p = 0.049) compared to those without financial problems. Only 9% of those having reason to file charges officially did so. FGDs explained that violence was high due to the unsafe working conditions, and police reporting was low because police were more concerned with enforcing COVID-19 sex work restrictions rather than with prioritizing the safety and well-being of sex workers.DiscussionWe found high rates of reported violence and low police reporting among sex workers in The Netherlands during the COVID-19 pandemic, and COVID-19 control measures and enforcement likely contributed to these unsafe conditions. Safeguarding the safety of sex workers during future crises demands legislation grounded in human rights principles. This includes measures such as mitigating income loss during prohibition of sex work, and shifting police focus towards protecting rather than prosecuting sex workers engaged in illegal sex work.

First evidence of circulation of multiple arboviruses in Algeria.

Algeria like other North African countries is experiencing recurrent episodes of West Nile Virus (WNV) emergences and new health threats associated with the introduction of Aedes albopictus in 2010 are to be feared. To improve the surveillance of mosquito-borne pathogens, we performed a study using innovative tools based on multiplex molecular methods. We combined two approaches: a high-throughput chip based on the BioMark Dynamic array system to detect arboviruses in mosquitoes, and a set of immunologic methods (ELISA, microsphere immunoassays (MIA) and virus microneutralization tests (MNT)) for serological surveys in animal hosts. We investigated two distinct regions: a first zone located in the coastal humid region and a second one in the Saharan desert region. We collected a total of 1,658 mosquitoes belonging to nine different species and found predominantly Culex pipienss. l. (56.5%) and Cx. perexiguus (27.5%). From 180 pools of 10 mosquitoes, we detected four arboviruses: Banna virus (BAV), chikungunya virus (CHIKV), Sindbis virus (SINV), and Usutu virus (USUV). Moreover, we examined 389 blood samples from equids and poultry and found that 52.4% were positive for flavivirus antibodies in ELISA, while 30.8% were positive for WNV and two chickens and two equids were positive for USUV by MNT and MIA respectively. To our knowledge, this is the first report of five arboviruses circulating in Algeria, with three reported for the first time (CHIKV, BAV, and USUV). Our study brings evidence that reinforcing surveillance using more discriminant tools may help in anticipating future emergences and propose adapted control measures.

Validation of sampling points for airborne radioactivity in particulate-generating operations

This study introduces an approach to validate sampling points for air monitoring in environments where operations generate significant airborne particulate radioactivity. A case study of repair works in a nuclear spent fuel reprocessing facility is used to synthesis and demonstrate the methodology. We use the probability distribution of air activity measurements and the correlation between two sampling points near high particulate generating operations and the ventilation ducts. The methodology developed in this paper can be applied in task-related air monitoring scenarios for validation of sampling points. This will augment internal exposure control measures during works involving physical entries in areas with high potential of escalation of air activity (e.g., during major repairs, during decommissioning of nuclear facilities etc.) and to evaluate the sufficiency of respiratory protection.

Candida auris fungaemia outbreak in a tertiary care academic hospital and emergence of a pan-echinocandin resistant isolate, Greece, 2021 to 2023.

After the start of the COVID-19 pandemic, a rapid rise in reported numbers and wide geographic spread of Candida auris-related invasive infections has been observed globally. However, the contemporary epidemiology of C. auris fungaemias in Greece remains unknown. An outbreak of C. auris bloodstream infections has been ongoing for almost 3 years in a Greek tertiary care academic hospital, with 89 C. auris-driven episodes appearing in five waves every 6-7 months following peaks in colonisation rates by 3-4 months. All isolates clustered in clade I and were genetically related, 84% were fluconazole-resistant and all were non-resistant to amphotericin B and echinocandins, except one pan-echinocandin-resistant isolate (FKS1S639F mutant) recovered from a patient on empiric therapy with anidulafungin. Notably, C. auris was in 2023 the most prevalent (34%) cause of candidaemia in our hospital. The accelerated and long-term transmission dynamics of C. auris fungaemia underscore the need for rigorous infection control measures, while antifungal stewardship is warranted to contain the selection of echinocandin-resistant isolates.

Integrated control of Fusarium wilt in banana by Bacillus velezensis EB1 and potassium sorbate

Fusarium wilt of banana, caused by Fusarium oxysporum f. sp. cubense tropical race 4 (Foc TR4), is a widely distributed soilborne disease that poses a serious threat to banana production. Many control measures have been implemented but have not been effective. Here, we evaluated a combined strategy for Fusarium wilt control that involves a biological agent (Bacillus velezensis strain EB1) and a bioactive compound (potassium sorbate). Our results showed that potassium sorbate inhibited Foc TR4 in a dose-dependent manner. Potassium sorbate did not limit the growth of EB1 in vitro; instead, it promoted the growth and antagonistic ability of EB1 by upregulating the expression of antagonism-related genes. In greenhouse experiments, the combined application of EB1 and potassium sorbate significantly reduced the disease index of Fusarium wilt by suppressing fungal growth in the roots and promoting plant growth. Overall, our results demonstrated that potassium sorbate and B. velezensis EB1 can be used together for the sustainable management of banana Fusarium wilt.

Effect of Glycated Haemoglobin (HBA1c) on Cardiorespiratory Fitness (CRF) in a Population with Type 2 Diabetes Mellitus (T2DM): A Cross-Sectional Study

Background and Objective: The aim of this study was to evaluate cardiorespiratory fitness (CRF) measures, maximal oxygen consumption (VO2 max), and minute ventilation/carbon dioxide production (VE/VCO2 slope and others) among the T2DM population based on glycated haemoglobin (HBA1c). Material and Methods: The present study comprised a cross-sectional design, with two groups, based on HbA1c values (≤7 and ≥7.1). Laboratory samples were taken to evaluate glycated haemoglobin and fasting blood glucose (FBS). Cardiopulmonary exercise testing was performed to calculate various fitness-related parameters. Data analysis: An independent t-test was used to analyse the outcomes in the two groups. p < 0.05 was considered significant. Linear regression was used to examine the influence of predictor variables on dependent variables. Results: A total of 70 patients agreed to participate in the study, with 19 females and 51 males. The mean (standard deviation) BMI (body mass index) of all participants was 29.7(5.2), the mean (SD) weight was 84.4 (18.9) kg, and the mean height was 167.4 (23) cm. The average age of the individuals was 52 ± 8 years. The independent t-test revealed a significant difference between the two groups in terms of CRF measures. Conclusions: The current research identified the presence of poor glycaemic control and cardiorespiratory fitness measures among the Brazilian population with T2DM. HBA1c, duration of diabetes, age, and BMI can be employed to predict the ventilatory threshold (VT) and VO2 max.

Land-Use-Change-Driven Erosion and Sediment Transport in the Yaqui River Sub-Basin (Mexico): Insights from Satellite Imagery and Hydraulic Simulations

Soil erosion and sediment transport are significant concerns in the Yaqui River sub-basin in northwest Mexico, driven by land use changes and environmental degradation. This study aims to evaluate erosion processes between 2000 and 2020 using a combination of satellite imagery and numerical simulations with Iber software (Version 2.5.2). The primary objective is to assess the impacts of land use changes, particularly the conversion of forest to grassland, on erosion rates and sediment transport. Satellite images from 2000 and 2020 were analyzed to detect land cover changes, while Iber’s sediment transport module was used to simulate erosion patterns based on the Meyer–Peter and Müller equation for bedload transport. Hydrological and topographical data were incorporated to provide accurate simulations of flow velocity, depth, and erosion potential. The results reveal a 35.3% reduction in forest cover, leading to increased erosion and sediment transport in steep areas. Simulation predictions highlighted areas with high future erosion potential, which are at risk of further soil loss if current trends continue. Flow velocity increased, contributing to riverbank destabilization and higher sediment yield, posing a risk to infrastructure such as the Álvaro Obregón Dam. This study underscores the need for targeted erosion control measures and sustainable land management practices to mitigate future risks and protect vital infrastructure in the Yaqui River Basin.

Effects of fine particulate matter bound heavy metals on intentional self-harm deaths in Guangzhou, China, insight from core chemical constituents.

Fine particulate matter (PM2.5) is one of the major threats to human health, and may partly responsible for intentional self-harm deaths, while the limited results seemed contradictory. Further analysis on PM2.5 constituents may provide more reliable evidence. Heavy metals are crucial toxic components of PM2.5 that may induce suicide behavior. What role do PM2.5-bound heavy metals play in a threat to intentional self-harm death is still unclear. Two-year data of daily PM2.5-bound heavy metals (including metalloids) and daily intentional self-harm deaths were collected in Guangzhou. Bayesian kernel machine regression, weighted quantile sum, and quantile-based g-computation models were employed to depict the relationships between heavy metals and intentional self-harm deaths. The number of intentional self-harm deaths was 217 and 283 for 2015 and 2016, respectively. A positive correlation was found between the combined effect of the 13 heavy metals and intentional self-harm deaths. Nickel, cadmium, and iron were the primary contributors to this positive correlation. Heavy metal components play significant roles in PM2.5-related intentional self-harm deaths, and targeted source control measures are warranted to protect residents from suicide.

Detection of biliary trematodes in sheep and goats from northern and central Portugal

Fasciolosis and dicrocoeliosis are severe parasitic infections that result in substantial economic damages to livestock farming globally as a consequence of reduced productivity and viscera condemnation. Molecular tests such as polymerase chain reaction (PCR) can detect Fasciola hepatica and Dicrocoelium dendriticum DNA with high sensitivity and specificity. In this study, we aimed to assess the presence of F. hepatica and D. dendriticum by PCR-based techniques in 400 small ruminant bile samples retrieved from central Portugal. Additionally, we conducted genetic characterisation of F. hepatica and D. dendriticum in these samples. Only one of the 400 bile samples (0.25%; 95% confidence interval [CI]: 0.01–1.39) examined by PCR tested positive for F. hepatica, and two samples (0.50%, 95% CI: 0.06–1.79) tested positive for D. dendriticum. Our findings indicate a low prevalence of F. hepatica and D. dendriticum in Portuguese small ruminants, underscoring the need to investigatefactors leading to meat rejection in slaughterhouses. Implementing effective parasite control measures is crucial to minimise economic losses and improve food safety. Addressing these infections and deploying targeted control strategies can enhance livestock production sustainability and ensure safe, high-quality meat products for consumers.

Active Surveillance of Patients Colonized with CRE: A Single-Center Study Based on a Combined Molecular/Culture Protocol

Background/Objectives: Carbapenem-resistant Enterobacteriaceae (CRE) are types of bacteria that need urgent attention globally. Active surveillance programs at hospitals are essential for the early identification of CRE carriers and the timely adoption of infection control measures. We aimed to analyze the epidemiology of CRE identified by multiplex RT-PCR in rectal swabs of patients upon admission to high-risk wards and to compare data obtained from both molecular and culture CRE screening. Methods: A total of 2861 rectal swabs, prospectively collected within 12–24 h of admission, underwent molecular screening for identification of K. pneumoniae carbapenemase (KPC), New Delhi metallo-β-lactamase (NDM), Verona integron-mediated metallo-β-lactamase (VIM), imipenemase (IMP), and OXA-48 (AllplexTM Entero-DR Assay). Only samples that tested positive or invalid underwent culture testing (Agar MacConkey and CHROMID® CARBA plates, bioMérieux, Craponne, France). Results: A total of 118 out of 2861 (about 4%) were positive for at least one carbapenem-resistant gene by a molecular approach (MA), with KPC, NDM, and VIM having the highest prevalence. Culture testing confirmed the presence of carbapenemase in 89 samples (75.4%), showing a disagreement rate of about 25% between the two methods, which, unfortunately, rises up to 60% for VIM. The dominant bacterial species were K. pneumoniae and E. coli (MALDI-TOF mass spectrometry). Conclusions: Our data underlined the need for the molecular screening of CRE carriers in order to implement active surveillance protocol in critical care settings and to improve infection control measures.

Pork as a Source of Diverse Viral Foodborne Infections: An Escalating Issue

This review synthesizes current knowledge on the risks posed by viral foodborne infections associated with pork, emphasizing their global prevalence and the complexity of managing such pathogens. It covers a range of significant viruses, including hepatitis A and E, norovirus, rotavirus, sapovirus, enterovirus, astrovirus, and enteric adenovirus. The role of pigs as reservoirs for diverse pathogens with zoonotic potential further complicates safety challenges, extending risks to individuals involved in pork production and processing. Various factors influencing viral contamination throughout the meat production chain are explored, from farm-level practices to processing and handling procedures. Emphasis is placed on the critical importance of implementing effective control measures at each stage, including enhanced biosecurity, rigorous hygiene practices, and appropriate thermal processing techniques. Additionally, the need for improved surveillance and detection methods to effectively identify and monitor viral presence in meat products is highlighted. In conclusion, the necessity of adopting a One Health approach that integrates efforts in animal health, food safety, and public health to mitigate the risks of viral foodborne infections associated with meat consumption is underscored. This holistic strategy is essential for safeguarding consumer health and ensuring the safety of the global food supply.

Deep Learning for Stomatal Opening Recognition in Gynura formosana Kitam Leaves

Gynura formosana Kitam possesses beneficial properties such as heat-clearing, detoxification, and cough suppression, making it a highly nutritious plant with significant economic value. During its growth, the plant’s leaves are prone to infections that can impair stomatal function and hinder growth. Effective identification of stomatal openings and timely application of appropriate chemicals or hormones or indirect environmental adjustments (such as light, temperature, and humidity) to regulate stomatal openings are essential for maintaining the plant’s healthy growth. Currently, manual observation is the predominant method for monitoring stomatal openings of Gynura formosana Kitam, which is complex, labor-intensive, and unsuitable for automated detection. To address this, the study improves upon YOLOv8s by proposing a real-time, high-precision stomatal detection model, Refined GIoU. This model substitutes the original IoU evaluation methods in YOLOv8s with GIoU, DIoU, and EIoU while incorporating the SE (Squeeze-and-Excitation) and SA (Self-Attention) attention mechanisms to enhance understanding of feature representation and spatial relationships. Additionally, enhancements to the P2 layer improve the feature extraction and scale adaptation. The effectiveness of the Refined GIoU is demonstrated through training and validation on a dataset of 1500 images of Gynura formosana Kitam stomata. The results show that the Refined GIoU achieved an average precision (mAP) of 0.935, a recall of 0.98, and an F1-score of 0.88, reflecting an excellent overall performance. The GIoU loss function is better suited to detecting stomatal openings of Gynura formosana Kitam, significantly enhancing the detection accuracy. This model facilitates the automated, real-time monitoring of stomatal openings, allowing for timely control measures and improved economic benefits of Gynura formosana Kitam cultivation.

Optimal Control of Microcephaly Under Vertical Transmission of Zika

The Zika virus, known for its potential to induce neurological conditions such as microcephaly when transmitted vertically from infected mothers to infants, has sparked widespread concerns globally. Motivated by this, we propose an optimal control problem for the prevention of vertical Zika transmission. The novelty of this study lies in its consideration of time-dependent control functions, namely, insecticide spraying and personal protective measures taken to safeguard pregnant women from infected mosquitoes. New results provide a way to minimize the number of infected pregnant women through the implementation of control strategies while simultaneously reducing both the associated costs of control measures and the mosquito population, resulting in a decline in microcephaly cases.

Combating infections under siege: Healthcare challenges amidst the military assault in Gaza

AbstractThe ongoing Israeli military assault on Gaza has caused a devastating collapse of healthcare infrastructure, resulting in an unprecedented surge in infectious diseases. The destruction of sanitation systems, restrictions on medical supplies, and displacement of civilians have created an environment conducive to the rapid spread of waterborne, vector‐borne, and antibiotic‐resistant infections. This paper draws from the insights of local Palestinian healthcare workers and recent medical missions conducted by FAJR Scientific, the Palestine American Medical Association, and Doctors Without Borders, examining infection control efforts under extreme constraints. The missions encountered major challenges, such as the absence of sterile equipment, inadequate access to clean water, and disrupted healthcare services. These conditions have exacerbated the spread of diseases such as hepatitis, meningitis, and polio, with severe impacts on Gaza's pediatric population. Efforts to implement infection control measures, such as telemedicine consultations, wound care protocols, and antibiotic stewardship, were heavily impeded by the ongoing blockade. The paper underscores the critical importance of lifting the siege to allow humanitarian access and to address the root causes of the infectious disease crisis in Gaza. It also highlights the resilience of Palestinian healthcare workers who continue to provide care under these dire circumstances. The recommendations outlined aim to support future medical teams working in conflict zones by providing practical strategies for infection prevention and control amidst such sustained violence. These efforts are contingent on international intervention and an end to the systematic blockade that has weaponized healthcare access.

Paper‐based sensors for real‐time cure monitoring in the production of glass fiber‐reinforced phenol‐formaldehyde composites for aerospace interiors

AbstractThe aerospace industries demand for advanced materials necessitates stringent quality control measures, particularly for composite structures to ensure optimal curing and structural integrity. Traditional methods like differential scanning calorimetry (DSC) and dynamic mechanical analysis, while useful, are limited to laboratory settings. This study explores the use of a printed paper‐based sensor for real‐time cure monitoring of glass fiber‐reinforced phenol‐formaldehyde (PF/GF) prepregs. The sensor, composed of a cellulose paper substrate with screen‐printed electrodes, offers flexibility, ease of integration, and cost‐effectiveness compared to commercial polymer‐based dielectric sensors. Real‐time monitoring with the printed paper‐based sensor was conducted at temperatures ranging from 130 to 180°C, both with and without pressure, and validated against DSC and Fourier‐transform infrared (FTIR) spectroscopy. The results showed a strong correlation between real‐time monitoring and the DSC prediction model, as well as FTIR spectroscopy. Notably, the real‐time monitoring revealed a shorter curing cycle on the production line than the predicted cure kinetic model, which is crucial for large‐scale production, such as fabricating honeycomb panels for aircraft interiors. This research underscores the importance of innovative sensor technologies in improving quality control and manufacturing efficiency in aerospace composites.Highlights Cure Monitoring of PF‐based prepregs was carried out using paper‐based sensor. Sensor offered reproducibility and seamless integration in composites. Sensor data showed a strong correlation with DSC and FTIR spectroscopy results. Paper sensors enable online monitoring of composite in aerospace manufacturing.

Uncovering the Anthropogenic Influences on Water Quality: A Case of Lake Victoria Shores, Entebbe, Uganda

Lakes serve as vital ecosystems, providing freshwater resources and habitats for diverse species. However, human activities, particularly around lakeshores, have led to significant environmental degradation, including heavy metal contamination. Lake Victoria, the second-largest freshwater lake globally, has been severely impacted by pollution from industrial, agricultural, and urban sources. This research aims at examining the influence of the anthropogenic activities on the water quality of Lake Victoria. Specifically, the study tried to determine the activities undertaken at the Lake shores of Lake Victoria; determined the physico-chemical parameters of the water from the shores and the heavy metal concentration in the water samples obtained from the shores of Lake Victoria. This study utilized a cross-sectional and experimental research designs to assess water quality and anthropogenic influences around Lake Victoria. A total of 150 residents from selected communities were surveyed using a semi-structured questionnaire to gather demographic information, perceptions of water quality and the activities carried out within the shores of Lake Victoria. Water samples were collected from multiple sites along the lake shores for analysis of heavy metals using the Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Water quality parameters were determined In-situ using a multi-parameter water testing kit and Hanna instrument. Results showed that the anthropogenic activities that could have contributed to water degradation include: fishing, transport, agriculture and construction among others. Apart from pH which was outside the permissible limits, all the other water parameters were within the WHO permissible limits. Considering the heavy metal concentration, all the sampled sites apart from one inlet, had the concentrations above the WHO permissible levels an indication of significant heavy metal contamination in the Lake Victoria shores. These findings highlight the urgent need for targeted pollution control measures and regular monitoring to mitigate further environmental degradation. Effective interventions, including stricter regulations and sustainable land use practices within the Victoria shores are essential for safeguarding the lake's ecosystem and the health of surrounding communities.

SMART DENGUE CONTROL

This research presents a novel approach to combating dengue by integrating Biological Control methods with Artificial Intelligence (AI). The objective of the study is to reduce the Aedes aegypti mosquito population and decrease dengue transmission through sustainable strategies. A comprehensive research methodology was used, involving extensive literature review, case studies, and data analysis to identify the main factors driving the high incidence of dengue in Brazil. The research applied AI tools to analyze epidemiological, meteorological, and environmental data, allowing for early outbreak predictions and targeted interventions. AI-enhanced surveillance systems were also employed to monitor mosquito populations and identify breeding sites more accurately. These strategies were combined with biological control methods, such as using natural predators and genetically modified mosquitoes, to manage mosquito populations effectively. The study demonstrate that the integration of AI and biological control can significantly improve the efficiency, accuracy, and sustainability of dengue control measures. The study concludes that this data-driven approach, when adapted to local contexts, can reduce reliance on chemical pesticides and offer a more resilient framework for long-term dengue management.

Post-Vaccination COVID-19 Transmission among Healthcare Workers in a Tertiary Level Hospital in Nepal

Background and Aims: Frontline healthcare workers have faced an increased risk of contracting COVID-19 since the beginning of the pandemic. Nurses, in particular, faced a substantial risk compared to doctors, possibly due to their prolonged exposure to patients. Despite the vaccine coverage to healthcare workers before the second wave of the pandemic, breakthrough infection was unavoidable. Methods: This observational study was conducted at Shahid Gangalal National Heart Center, Kathmandu, Nepal, during the second wave of the COVID-19 pandemic. The study aimed to investigate COVID-19 infections among nursing staff, focusing on the number of infections, severity, the relationship between infections and time spent in the COVID ward, the comparison of infections among vaccinated and unvaccinated staff, and the effectiveness of infection control measures. Results: Among the 132 nursing staff, the overall positive rate after vaccination was 15.15%, with a breakthrough infection rate of 4.34%. Significant differences were observed in age and prior infection. However, no significant differences were observed among the type of family, education level, work experience, wards, total duty hours, level of PPE used, mask type, or mask reuse. Conclusion: Vaccines reduce the severity of infections but do not eliminate the risk, especially in high-exposure settings like healthcare facilities.

Enhancing Infection Control Protocols Across Medical Teams: A Comprehensive Approach for Safer Healthcare

Healthcare-associated infections (HAIs) pose significant risks to patient safety and healthcare quality, impacting all levels of medical staff. This article examines the development and implementation of enhanced infection control protocols aimed at reducing infection rates through a unified, multidisciplinary approach. By engaging healthcare providers across roles—including physicians, nurses, support staff, and administrators—we identify key factors affecting protocol adherence and infection control effectiveness. Through a mixed-methods study, we assess quantitative reductions in infection rates alongside qualitative feedback on protocol practicality and ease of use. Results indicate that comprehensive, role-specific infection control measures, paired with continuous training and feedback mechanisms, significantly improve adherence and reduce HAIs. This study underscores the value of adaptable, universally applied protocols to establish safer healthcare environments, advocating for further research and sustained implementation efforts in diverse clinical settings.