Implementation Of Control Measures Research Articles

Identifying highly connected sites for risk-based surveillance and control of cucurbit downy mildew in the eastern United States.

Surveillance is critical for the rapid implementation of control measures for diseases caused by aerially dispersed plant pathogens, but such programs can be resource-intensive, especially for epidemics caused by long-distance dispersed pathogens. The current cucurbit downy mildew platform for monitoring, predicting and communicating the risk of disease spread in the United States is expensive to maintain. In this study, we focused on identifying sites critical for surveillance and treatment in an attempt to reduce disease monitoring costs and determine where control may be applied to mitigate the risk of disease spread. Static networks were constructed based on the distance between fields, while dynamic networks were constructed based on the distance between fields and wind speed and direction, using disease data collected from 2008 to 2016. Three strategies were used to identify highly connected field sites. First, the probability of pathogen transmission between nodes and the probability of node infection were modeled over a discrete weekly time step within an epidemic year. Second, nodes identified as important were selectively removed from networks and the probability of node infection was recalculated in each epidemic year. Third, the recurring patterns of node infection were analyzed across epidemic years. Static networks exhibited scale-free properties where the node degree followed a power-law distribution. Betweenness centrality was the most useful metric for identifying important nodes within the networks that were associated with disease transmission and prediction. Based on betweenness centrality, field sites in Maryland, North Carolina, Ohio, South Carolina and Virginia were the most central in the disease network across epidemic years. Removing field sites identified as important limited the predicted risk of disease spread based on the dynamic network model. Combining the dynamic network model and centrality metrics facilitated the identification of highly connected fields in the southeastern United States and the mid-Atlantic region. These highly connected sites may be used to inform surveillance and strategies for controlling cucurbit downy mildew in the eastern United States.

Detection of Enteric Viruses in Children under Five Years of Age before and after Rotavirus Vaccine Introduction in Manhiça District, Southern Mozambique, 2008-2019.

Enteric viruses are the leading cause of diarrhoea in children <5 years. Despite existing studies describing rotavirus diarrhoea in Mozambique, data on other enteric viruses remains scarce, especially after rotavirus vaccine introduction. We explored the prevalence of norovirus GI and GII, adenovirus 40/41, astrovirus, and sapovirus in children <5 years with moderate-to-severe (MSD), less severe (LSD) diarrhoea and community healthy controls, before (2008-2012) and after (2016-2019) rotavirus vaccine introduction in Manhiça District, Mozambique. The viruses were detected using ELISA and conventional reverse transcription PCR from stool samples. Overall, all of the viruses except norovirus GI were significantly more detected after rotavirus vaccine introduction compared to the period before vaccine introduction: norovirus GII in MSD (13/195, 6.7% vs. 24/886, 2.7%, respectively; p = 0.006) and LSD (25/268, 9.3% vs. 9/430, 2.1%, p < 0.001); adenovirus 40/41 in MSD (7.2% vs. 1.8%, p < 0.001); astrovirus in LSD (7.5% vs. 2.6%, p = 0.002); and sapovirus in MSD (7.1% vs. 1.4%, p = 0.047) and controls (21/475, 4.4% vs. 51/2380, 2.1%, p = 0.004). Norovirus GII, adenovirus 40/41, astrovirus, and sapovirus detection increased in MSD and LSD cases after rotavirus vaccine introduction, supporting the need for continued molecular surveillance for the implementation of appropriate control and prevention measures.

Genomic evolution of ST228 SCCmec-I MRSA 10 years after a major nosocomial outbreak.

In this study, we investigated the genomic changes in a major methicillin-resistant Staphylococcus aureus (MRSA) clone following a significant outbreak at a hospital. Whole-genome sequencing of MRSA isolates was utilized to explore the genomic evolution of post-outbreak MRSA strains. The epidemicity of the clone declined over time, coinciding with the introduction of multimodal infection control measures. A genome-wide association study (GWAS) identified multiple genes significantly associated with either high or low epidemic success, indicating alterations in mobilome, virulence, and defense mechanisms. Random Forest models pinpointed a gene related to fibrinogen binding as the most influential predictor of epidemicity. The decline of the MRSA clone may be attributed to various factors, including the implementation of new infection control measures, single nucleotide polymorphisms accumulation, and the genetic drift of a given clone. This research underscores the complex dynamics of MRSA clones, emphasizing the multifactorial nature of their evolution. The decline in epidemicity seems linked to alterations in the clone's genetic profile, with a probable shift towards decreased virulence and adaptation to long-term carriage. Understanding the genomic basis for the decline of epidemic clones is crucial to develop effective strategies for their surveillance and management, as well as to gain insights into the evolutionary dynamics of pathogen genomes.

Analysis of Risk Factors and The Impact of Nitric Oxide (NO) and Carbon Monoxide (CO) Levels on Lung Function: A Comparative Study of Palm Oil Factory Workers and the Community in Kuantan Mudik District, Riau, Indonesia

Background: Air pollution, particularly from industrial sources like palm oil factories, poses a significant risk to respiratory health. This study aimed to investigate the impact of nitric oxide (NO) and carbon monoxide (CO) exposure on lung function in palm oil factory workers and compare it to the lung function of individuals in the surrounding community. Methods: A cross-sectional study was conducted in Kuantan Mudik District, Riau, Indonesia. One hundred palm oil factory workers with a minimum of two years of employment and 100 community members not occupationally exposed to NO and CO were recruited. Lung function was assessed using spirometry, and NO and CO levels were measured using specialized analyzers. Participants completed the European Community Respiratory Health Survey (ECRHS) questionnaire, and demographic and clinical data were collected. Statistical analyses included univariate, bivariate, and multivariate logistic regression. Results: Factory workers exhibited significantly higher levels of NO (p=0.000) and a higher prevalence of restrictive lung function (17%) compared to the community members (3%). Multivariate analysis identified NO exposure as the most significant risk factor for restrictive lung function (p=0.005). Each unit increase in NO was associated with a 1.12-fold increased risk of restrictive lung function. CO exposure, age, gender, smoking history, and the use of personal protective equipment (PPE) were not significantly associated with lung function impairment in this study. Conclusion: Occupational exposure to NO in palm oil factories is a significant risk factor for restrictive lung function impairment. Regular monitoring of NO levels and the implementation of effective control measures are crucial to protect the respiratory health of palm oil factory workers.

Increased adherence to influenza vaccination among Palermo family pediatricians: a study on safety and compliance of qLAIV vaccination

BackgroundInfluenza represents a serious public health threat, especially for the management of severe cases and complications of the disease, requiring the implementation of control measures. We aimed to assess the acceptance and impact of qLAIV vaccination among a representative sample of family paediatricians (FPs) operating in Palermo Local Health Authority (LHA). To this end we evaluated vaccination coverage rates, comparing it with that observed in Sicilian context, while actively monitoring possible adverse reactions and their severity.MethodsAn observational descriptive non-controlled study was conducted in two phases, from September 2022 to June 2023. The first phase involved a formative and educational intervention with a pre-intervention questionnaire to assess the knowledge and attitudes of FPs on paediatric influenza vaccination. The second phase consisted of an active surveillance on qLAIV safety and acceptance among the paediatric population assisted by the participating FPs, from October 2022 to April 2023. Frequencies, chi-squared tests, and comparisons statistics were performed using Stata/MP 14.1.ResultsThe overall coverage rate among the paediatric population involved in the intervention was 13.2%, with an I.M./qLAIV ratio of vaccine administered of 1/4.25. This coverage rate was significantly higher (p-value <0.001) when compared to the average values reported in the population under the Palermo Local Health Authority (LHA) (6.7%) and in the entire Sicily (5.9%). Adverse events in the qLAIV group were mild, with only 3.3% experiencing them, primarily presenting as a feverish rise (3.2%). No severe adverse reaction was reported.ConclusionsThe educational intervention significantly raised paediatric influenza vaccination rates among the participating FPs, and in general improved influenza vaccination coverage rates in the Palermo’s LHU. Minimal, non-serious adverse events underscored the vaccine’s safety. Training sessions ensured paediatricians stayed informed, enabling them to provide comprehensive information to parents for secure and informed vaccination decisions in their practices.

Molecular characterization and zoonotic potential of Entamoeba spp., Enterocytozoon bieneusi and Blastocystis from captive wild animals in northwest China

BackgroundParasites Entamoeba spp., Enterocytozoon bieneusi and Blastocystis are prevalent pathogens causing gastrointestinal illnesses in animals and humans. Consequently, researches on their occurrence, distribution and hosts are crucial for the well-being of both animals and humans. Due to the confined spaces and frequent interaction between animals and humans, animal sanctuaries have emerged as potential reservoirs for these parasites. In this study, the wildlife sanctuary near the Huang Gorge of the Qinling Mountains in northwest China is chosen as an ideal site for parasite distribution research, considering its expansive stocking area and high biodiversity.ResultsWe collected 191 fecal specimens from 37 distinct wildlife species and extracted genomic DNA. We identified these three parasites by amplifying specific gene regions and analyzed their characteristics and evolutionary relationships. All the parasites exhibited a high overall infection rate, reaching 90.05%. Among them, seven Entamoeba species were identified, accounting for a prevalence of 54.97%, with the highest infection observed in Entamoeba bovis. In total, 11 Enterocytozoon bieneusi genotypes were discovered, representing a prevalence of 35.08%, including three genotypes of human-pathogenic Group 1 and two novel genotypes (SXWZ and SXLG). Additionally, 13 Blastocystis subtypes were detected, showing a prevalence of 74.87% and encompassing eight zoonotic subtypes. All of the above suggests significant possibilities of parasite transmission between animals and humans.ConclusionsThis study investigated the occurrence and prevalence of three intestinal parasites, enhancing our understanding of their genetic diversity and host ranges in northwest China. Furthermore, the distribution of these parasites implies significant potential of zoonotic transmission, underscoring the imperative for ongoing surveillance and implementation of control measures. These efforts are essential to mitigate the risk of zoonotic disease outbreaks originating from wildlife sanctuary.

Associations of insulin sensitivity and immune inflammatory responses with child blood lead (Pb) and PM2.5 exposure at an e-waste recycling area during the COVID-19 lockdown.

Fine particular matter (PM2.5) and lead (Pb) exposure can induce insulin resistance, elevating the likelihood of diabetes onset. Nonetheless, the underlying mechanism remains ambiguous. Consequently, we assessed the association of PM2.5 and Pb exposure with insulin resistance and inflammation biomarkers in children. A total of 235 children aged 3-7years in a kindergarten in e-waste recycling areas were enrolled before and during the Corona Virus Disease 2019 (COVID-19) lockdown. Daily PM2.5 data was collected and used to calculate the individual PM2.5 daily exposure dose (DED-PM2.5). Concentrations of whole blood Pb, fasting blood glucose, serum insulin, and high mobility group box 1 (HMGB1) in serum were measured. Compared with that before COVID-19, the COVID-19 lockdown group had lower DED-PM2.5 and blood Pb, higher serum HMGB1, and lower blood glucose and homeostasis model assessment of insulin resistance (HOMA-IR) index. Decreased DED-PM2.5 and blood Pb levels were linked to decreased levels of fasting blood glucose and increased serum HMGB1 in all children. Increased serum HMGB1 levels were linked to reduced levels of blood glucose and HOMA-IR. Due to the implementation of COVID-19 prevention and control measures, e-waste dismantling activities and exposure levels of PM2.5 and Pb declined, which probably reduced the association of PM2.5 and Pb on insulin sensitivity and diabetes risk, but a high level of risk of chronic low-grade inflammation remained. Our findings add new evidence for the associations among PM2.5 and Pb exposure, systemic inflammation and insulin resistance, which could be a possible explanation for diabetes related to environmental exposure.

Impacts of daily household activities on indoor particulate and NO2 concentrations; a case study from oxford UK

This study explores indoor air pollutant (PM1, PM2.5 and NO2) concentrations over a 15-week period during the COVID-19 pandemic in a typical suburban household in Oxford, UK. A multi-room intensive monitoring study was conducted in a single dwelling using 10 air quality sensors measuring real-time pollutant concentrations at 10 second intervals to assess temporal and spatial variability in PM1, PM2.5 and NO2 concentrations, identify pollution-prone areas, and investigate the impact of residents' activities on indoor air quality. Significant spatial variations in PM concentrations were observed within the study dwelling, with highest hourly concentrations (769.0 & 300.9 μg m−3 for PM2.5, and PM1, respectively) observed in the upstairs study room, which had poor ventilation. Cooking activities were identified as a major contributor to indoor particulate pollution, with peak concentrations aligning with cooking events. Indoor NO2 levels were typically higher than outdoor levels, particularly in the kitchen where a gas-cooking appliance was used. There was no significant association observed between outdoor and indoor PM concentrations; however, a clear correlation was evident between kitchen PM emissions and indoor levels. Similarly, outdoor NO2 had a limited influence on indoor air quality compared to kitchen activities. Indoor sources were found to dominate for both PM and NO2, with higher Indoor/Outdoor (I/O) ratios observed in the upstairs bedroom and the kitchen. Overall, our findings highlight the contribution of indoor air pollutant sources and domestic activities to indoor air pollution exposure, notably during the COVID-19 pandemic when people were typically spending more time in domestic settings. Our novel findings, which suggest high levels of pollutant concentrations in upstairs (first floor) rooms, underscore the necessity for targeted interventions. These interventions include the implementation of source control measures, effective ventilation strategies and occupant education for behaviour change, all aimed at improving indoor air quality and promoting healthier living environments.

Human error identification and risk assessment in loading and unloading of petroleum products by road trucks using the SHERPA and fuzzy inference system method

Human error constitutes one of the primary causes of accidents, particularly in the context of loading and unloading operations involving road trucks, especially those carrying petroleum products. The process of identifying and evaluating human errors within these operations involves several key steps. Initially, all sub-tasks associated with loading and unloading are meticulously identified and analyzed utilizing Hierarchical Task Analysis (HTA), achieved through direct observation, document examination, and interviews. Subsequently, potential human error modes within each task are delineated using the Systematic Human Error Reduction and Prediction Approach (SHERPA). Finally, essential data for determining the criticality, probability, and severity of each error are gathered through expert elicitation and the application of Fuzzy Inference Systems (FIS).Through the analysis of SHERPA worksheets, a total of 37 errors during loading operations and 14 errors during unloading operations of petroleum products were identified. Among these errors, the predominant category during loading operations was action errors, comprising 31 instances, while communication errors were the least frequent, occurring only twice. Similarly, action errors were most prevalent during unloading operations, constituting 13 instances. These errors were further categorized and ranked based on their risk levels, resulting in 27 levels for loading operations and 12 levels for unloading operations.The consistent occurrence of action errors underscores the need for implementing control measures to mitigate their frequency and severity. Such strategies may include periodic training sessions to reinforce proper work procedures and the development of monitoring checklists, among other interventions.

O-182 To err is human, also for those working in ART

Abstract Medically assisted reproduction (MAR) centers combine clinical and technical expertise with a very high complexity. Over the years, MAR centers have undergone increased intricacy due to incorporating laboratory techniques, such as cryopreservation of oocytes and embryos and micromanipulation, embryo culture, and pre-implantation genetic testing. Not only the technicality of the MAR laboratory profession is challenging, but the complexity of each phase has increased over the years; the patient population undergoing treatment has expanded, where not only the intended parents’ gametes are involved but also the utilization of gametes from egg and sperm donors, as well as including a gestational carrier receiving the embryo. These complexities have led to the implementation of rigorous control measures to mitigate the risk of errors. Nevertheless, a zero-risk fertility clinic is an illusion, given the many necessary interventions and manipulations in each treatment cycle. Errors in fertility practice involving gametes or embryos can be devastating to patients and clinical personnel, often raising psychological, legal, ethical, economic, and practical concerns. The most critical cases of risk of harm in MAR procedures involve misidentifying a patient, gamete, or embryo, called ‘mix-up,’ which could lead to dramatic consequences. Although the frequency is low, mix-up cases have been described worldwide. Other adverse events derive from preventable human actions, e.g., overlooking an embryo when carrying out assessments, dropping a dish, incorrect labeling, improper pipetting technique, unusually poor thawing, and inadvertent discard of the sample. Human error cannot be eradicated. In the old view, human error was perceived as the root cause of problems, with individuals being viewed as variables requiring control. Conversely, contemporary perspectives consider human error a symptom of deeper systemic issues. As suggested by the Institute of Medicine in 2000, which published the report “To Err Is Human,” the core of the problem lies not with the fallibility of healthcare personnel but the flawed systems within which they operate. Preventing errors is possible by incorporating safety into system processes and hospital structures. Latent errors are errors that arise due to system inefficiencies. In the context of MAR, these latent conditions can, amongst others, be work-related pressure, high workload, lack of communication between team members, distraction, a suboptimal setup of the lab, a lack of clarity in the procedures, and insufficient time for thorough communication. In the famous Reason’s Swiss cheese theory of error, these latent conditions are weaknesses (or gaps/ holes) in the system’s defense layers. When all the holes from each layer (i.e., policy, planning, design, communication) align, they will permit an error to cause harm. Understanding the theory of human errors and building safety into various layers of care processes in MAR are effective ways of reducing errors rather than blaming sentinel individuals. Errors within MAR centers can be prevented by designing the healthcare system at all levels to make it safer, making it hard for people to do the wrong thing and easy for people to do the right thing.

Prevalence and molecular detection of Babesia microti in rodents in Southeastern Shanxi, China.

Babesia is a tick-transmitted parasite that infects wild and domestic animals, causes babesiosis in humans, and is an increasing public health concern. Here, we investigated the prevalence and molecular characteristics of Babesia infections in the rodents in Southeastern Shanxi, China. Small rodents were captured, and the liver and spleen tissues were used for Babesia detection using traditional PCR and sequencing of the partial 18S rRNA gene. The analysis revealed that 27 of 252 small rodents were positive for Babesia, with an infection rate of 10.71%. The infection rates in different sexes and rodent tissues were not statistically different, but those in different rodent species, habitats, and sampling sites were statistically different. The highest risk of Babesia infection was observed in Niviventer confucianus captured from the forests in Huguan County. Forty-three sequences from 27 small rodents positive for Babesia infection were identified as Babesia microti, including 42 sequences from 26 N. confucianus, and one sequence from Apodemus agrarius. Phylogenetic analysis showed that all sequences were clustered together and had the closest genetic relationship with Babesia microti strains isolated from Rattus losea and N. confucianus in China, and belonged to the Kobe-type, which is pathogenic to humans. Compared to other Kobe-type strains based on the nearly complete 18S rRNA gene, the sequences obtained in this study showed the difference by 1-3 bp. Overall, a high prevalence of Babesia microti infection was observed in small rodents in Southeastern Shanxi, China, which could benefit us to take the implementation of relevant prevention and control measures in this area.

Distribution of Carbapenemase Genes among Carbapenem-Resistant Klebsiella pneumoniae Isolates from the Patients in Najaf, Iraq

Abstract Background: Carbapenem-resistant Klebsiella pneumoniae (CRKP) is a global threat, causing serious community- and hospital-acquired infections with limited treatment options. Understanding the local epidemiology of CRKP is crucial for guiding antimicrobial stewardship and infection control measures. This study aimed to investigate the phenotypic characteristics, antimicrobial resistance profiles, and carbapenemase genes among CRKP isolates from the patients in Najaf, Iraq. Methods: This cross-sectional research was performed at diverse hospitals and centers in Najaf, Iraq, from September 2023 to March 2024. The study was approved by the Ethics Committee of Kufa University. CRKP isolates were collected from various health-care facilities and tested for hypermucoviscosity, antimicrobial susceptibility, and carbapenemase production using phenotypic methods. The presence of carbapenemase genes (blaNDM, blaVIM, blaKPC, blaOXA-48, blaOXA-23, and blaOXA-51) was examined by polymerase chain reaction. Results: Of the 27 CRKP isolates, 9 (33.3%) exhibited a hypermucoviscous phenotype. Regarding antimicrobial resistance, 12 (44.4%) were multidrug resistant, 14 (51.9%) were extensively drug resistant, and 1 (3.7%) was pandrug resistant. Phenotypic carbapenemase production was detected in 5 (18.5%) and 11 (40.7%) isolates by the modified Hodge test and E-test metallo-β-lactamase strips, respectively. Molecular analysis revealed that all CRKP harbored the blaOXA-51 gene, whereas blaNDM, blaOXA-23, and blaVIM were detected in 70.4%, 40.7%, and 11.1% of the isolates, respectively. Neither blaKPC nor blaOXA-48 genes were found. In addition, 22 (81.5%) isolates carried multiple carbapenemase genes. Conclusions: The high prevalence of blaOXA-51 and blaNDM carbapenemases, along with the high rates of multidrug resistance among CRKP isolates in Najaf, Iraq, are alarming. This necessitates the immediate implementation of effective antimicrobial stewardship and infection control measures to prevent the further spread of these difficult-to-treat pathogens.

Nosocomial Transmission of Mycobacterium tuberculosis in an Oncological Setting

Objective: Mycobacterium tuberculosis (MTB) is a contagious airborne disease that is spread from person to person via particles in the air which are expelled when speaking or coughing1. This retrospective observational study aims to assess the nosocomial transmission of pulmonary MTB among inpatient roommates in a high-risk oncological population over a 14-year period. With limited studies on the transmissibility of MTB in such environments, the investigation focuses on evaluating the risk of nosocomial transmission and implementation of appropriate infection control measures. Design: A retrospective analysis from 2010 – April 2023 was conducted in an acute care, 500-bed oncological center. Following exposure workups performed by the Department of Infection Prevention and Control, 17 of 57 identified patients with active pulmonary MTB had inpatient stays with roommates. Source infectivity showed 7 AFB smear positive results, 4 MTB PCR positive results, and 14 MTB culture positive results. Some index patients had a combination of AFB, PCR and/or culture positivity. A high-risk exposure is defined as any patient who shared a room with an index patient for &gt;4 cumulative hours during the infectious period. Infectious period was determined for each index patient based on the onset of symptoms and laboratory results. Workups identified 33 exposed roommates who were notified and advised to undergo testing, employing QuantifERON (QFT-GIT) serum test or Tuberculin skin (TST) PPD test at least 8 weeks following their last day of exposure. The overlap between inpatient roommates and index patients ranged from 1 to 4 days, averaging 1.5 days. Results: Of the 33 high-risk roommates, 14 (42%) patients were unable to provide follow-up testing for various reasons including: patient expiration prior to testing, patient transfer to hospice, and being lost to follow up. Nineteen (58%) patients completed post-exposure testing. 12 patients underwent PPD testing (63%) and 7 patients underwent QuantifERON testing (37%). Zero (0%) were found to have a positive QuantifERON or PPD following their exposure. 15.8% (N=3) of exposed patients had hematologic malignancies, and 84.2% (N=16) of exposed patients had solid tumor malignancies. Conclusion: The risk of active pulmonary MTB transmission in an oncological, inpatient setting was determined to be low. The absence of positive conversions among roommates of confirmed MTB patients underscores the effectiveness of infection control measures, emphasizing the importance of isolating confirmed or suspected cases promptly. Ongoing efforts should continue to focus on these preventive measures to mitigate the risk of MTB transmission in similar high-risk settings.

Prevalence of Candida auris Among High-Risk Patients at a Comprehensive Cancer Center

Background: Candida auris (C. auris) is a multidrug-resistant fungus that is increasingly implicated in outbreaks in healthcare facilities worldwide. The Centers for Disease Control and Prevention (CDC) and the Texas Department of State Health Services recommend healthcare facilities screen patients who are considered high-risk for C. auris, including patients with an overnight stay in a healthcare facility outside the United States (U.S.) in the previous year, or recently stayed in a rehabilitation (rehab) facility, long-term acute care (LTAC), or skilled nursing facility (SNF). Screening patients for C. auris colonization allows for early implementation of infection control measures, preventing transmission to healthcare workers and other patients. According to the CDC, most cases of C. auris result from local spread within and among healthcare facilities in the same city or state. In Texas, 160 clinical cases have been reported during the past 12 months. At present, the necessity of screening high-risk patients at our center for C. auris is not known. We aimed to determine the prevalence of C. auris colonization among our patient population. Method: During a 4-week period, we performed targeted screening of patients meeting the CDC’s high-risk definition for C. auris. Admitted patients were screened by an Infection Preventionist (IP) using the electronic health record to identify patients who were either international or admitted from a rehab or care facility. A composite swab of bilateral axilla and groin creases was collected using an eSwab™ (Becton Dickinson) and sent to a reference lab (Mayo Clinic Laboratories) for polymerase chain reaction (PCR)-based detection of C. auris. Additionally, we reviewed historic cases of C. auris diagnosed at our institution to better define our at-risk patients. Results: Between July 14 – August 8, 2023, we consecutively screened 25 high-risk patients, including 18 (72%) international and 7 (28%) patients from rehabs, LTAC, or SNF. None were positive for C. auris. Since 2019, we identified six patients with C. auris positive cultures, including five clinical cases and one colonization case. Five patients were international and one was local with no history of international travel or stay in a care facility. Interestingly, all six were known to be colonized with extended-spectrum beta-lactamase (ESBL) E. coli. Conclusion: We have a very low prevalence of C. auris among CDC-defined high-risk patients. A review of historic C. auris cases indicated an association with colonization by other multidrug-resistant organisms, specifically ESBL E. coli, which will inform future screening protocols at our institution.Disclosure: Roy Chemaly: Contracted Research paid for my institution: Merck, Karius, AiCuris, Ansun Pharmaceuticals, Takeda, Genentech, Oxford Immunotec, and Eurofins-Viracor; Honorarium/Ad Board/Consultant: ADMA Biologics, Janssen, Merck/MSD, Partner Therapeutics, Takeda, Shinogi, AiCuris, Roche/Genentech, Astellas, Tether, Oxford Immunotec, Karius, Moderna, and Ansun Pharmaceuticals; Stock Options: Xenex

Dengue dynamics in Nepal: A Caputo fractional model with optimal control strategies

An infectious disease called dengue is a significant health concern nowadays. The dengue outbreak occurred with a single serotype all over Nepal in 2023. In the tropical and subtropical regions, dengue fever is a leading cause of sickness and death. Currently, there is no specified treatment for dengue fever. Avoiding mosquito bites is strongly advised to reduce the likelihood of controlling this disease. In underdeveloped countries like Nepal, the implementation of appropriate control measures is the most important factor in preventing and controlling the spread of dengue illness. The Caputo fractional dengue model with optimum control variables, including mosquito repellent and insecticide use, investigates the impact of alternative control strategies to minimize dengue prevalence. Using the fixed point theorem, the existence and uniqueness of a solution will be demonstrated for the problem. Ulam-Hyers stability, disease-free equilibrium point stability, and basic reproduction number are studied for the proposed model. The model is simulated using a two-step Lagrange interpolation technique, and the least squares method is used to estimate parameter values using real monthly infected data. We then analyze the sensitivity analysis to determine influencing parameters and the control measure effects on the basic reproduction number. The Pontryagin Maximum Principle is used to determine the optimal control variable in the dengue model for control strategies. The present study suggests that the deployment of control measures is extremely successful in lowering infectious disease incidences. Which facilitates the decision-makers to practice rigorous evaluation of such an epidemiological scenario while implementing appropriate control measures to prevent dengue disease transmission in Nepal.

Managerial Influence on Infection Prevention and Control (IPC) Implementation in Israeli Hospitals: A Doctoral Research Study

Background: This research, part of a doctoral study, aims to examine the impact of managerial factors on the implementation of Infection Prevention and Control (IPC) measures in Israeli hospitals. The study focuses on identifying key facilitators and barriers from the perspectives of physician and nurse managers, with an emphasis on understanding the integration of managerial strategies and theoretical frameworks in IPC implementation. Objective: The objective is to explore specific managerial factors, both facilitators and barriers, influencing the effective implementation of IPC measures. The research investigates these influences through the lens of physicians and nurses managing IPC units in public hospital settings. Methodology: A mixed-method approach was adopted, involving in-depth interviews with ten IPC-Unit managers (five physicians and five nurses) and a comprehensive questionnaire distributed among IPC-Unit heads. The study’s demographic and professional profiles of participants are detailed in Table 1. The data collection process encompassed an Activity Assessment Questionnaire (2-AAQ) and an Organizational Change Implementation Questionnaire (3-OrgChangeImplQ), with the distribution of responses categorized by implementation stages and sociological theories (Tables 2-4). Result: Managerial autonomy emerged as a significant catalyst for IPC implementation, with supportive leadership and resource allocation being critical. Differences in approaches between physician and nurse managers were observed, reflecting diverse strategies in planning, execution, monitoring, and maintenance of IPC measures. The findings also revealed a natural alignment with sociological theories, particularly Normalization Process Theory (NPT) and Diffusion of Innovations (DOI), despite a lack of formal training in these areas. Conclusions: The study underscores the multifaceted nature of IPC implementation, highlighting the importance of managerial autonomy, supportive leadership, and a deep understanding of organizational culture. The inherent alignment of IPC strategies with NPT and DOI theories suggests the potential of these frameworks in guiding IPC implementation. The research advocates for the integration of these theoretical perspectives into formal training programs to enhance the effectiveness of IPC measures in healthcare settings.

Increase in candidemia cases and emergence of fluconazole-resistant Candida parapsilosis and C. auris isolates in a tertiary care academic hospital during the COVID-19 pandemic, Greece, 2020 to 2023.

BackgroundThe COVID-19 pandemic and the emergence of Candida auris have changed the epidemiological landscape of candidaemia worldwide.AimWe compared the epidemiological trends of candidaemia in a Greek tertiary academic hospital before (2009-2018) and during the early COVID-19 (2020-2021) and late COVID-19/early post-pandemic (2022-2023) era.MethodsIncidence rates, species distribution, antifungal susceptibility profile and antifungal consumption were recorded, and one-way ANOVA or Fisher's exact test performed. Species were identified by MALDI-ToF MS, and in vitro susceptibility determined with CLSI M27-Ed4 for C. auris and the EUCAST-E.DEF 7.3.2 for other Candida spp.ResultsIn total, 370 candidaemia episodes were recorded during the COVID-19 pandemic. Infection incidence (2.0 episodes/10,000 hospital bed days before, 3.9 during the early and 5.1 during the late COVID-19 era, p<0.0001), C. auris (0%, 9% and 33%, p<0.0001) and fluconazole-resistant C. parapsilosis species complex (SC) (20%, 24% and 33%, p=0.06) infections increased over time, with the latter not associated with increase in fluconazole/voriconazole consumption. A significant increase over time was observed in fluconazole-resistant isolates regardless of species (8%, 17% and 41%, p<0.0001). Resistance to amphotericin B or echinocandins was not recorded, with the exception of a single pan-echinocandin-resistant C. auris strain.ConclusionCandidaemia incidence nearly tripled during the COVID-19 era, with C. auris among the major causative agents and increasing fluconazole resistance in C. parapsilosis SC. Almost half of Candida isolates were fluconazole-resistant, underscoring the need for increased awareness and strict implementation of infection control measures.

Risk Factors Associated with an Influenza B Outbreak due to Inefficient Screening in a Prison in Thailand

On 3 Oct 2019, the Office of Disease Prevention and Control Region 12 Songkhla received notification of a suspected influenzacluster in a prison in Songkhla Province, Thailand. In cooperation with the local public health teams, we investigated the event to confirm the diagnosis, identify the source of infection, and implement control measures. A suspected influenza case was defined as an individual with fever and at least one of the following symptoms: cough, sore throat, runny nose, or dyspnea. Aconfirmed case was a suspected case who tested positive to influenza by the reverse transcription polymerase chain reaction technique. An environmental survey was conducted to assess risk behaviors and determine the occupancy rate. A case-control study was performed to identify associated factors of developing influenza. We identified 128 suspected cases, of which seven were confirmed to have type B influenza. All were male and their median (interquartile range) age was 29 years (24–35). The overall attack rate was5.2%. The first case developed symptoms in the new prisoner zone and moved to another zone without undergoing respiratory screening. The analytical study revealed that sleeping within one meter of a confirmed case (adjusted odds ratio (AOR) 1.77, 1.07–2.92), and sharing drinking glasses with others (AOR 1.83, 1.18–2.82)were significant risk factors. The overcrowded prison (165% occupancy) led to limited availability of vaccines, causing 83.5% of prisoners to be unvaccinated. Strict screening of new prisoners before moving to another area and early isolation of symptomatic prisoners are recommended.

A Mathematical Model Investigating the Impact of Campaign Program on the Pattern of Transmission of Anemia in Pregnant Women

Anemia, a pervasive global health issue, is on the rise across the globe, impacting both developing and wealthy nations. Anemia, a hematological condition, can manifest at any point in life and is prevalent among pregnant individuals. The worldwide incidence of anemia among women of reproductive age is around 29.4%, with over 40% of pregnant women being affected. Anemia is a widespread issue that significantly contributes to illness and death, particularly in regions where malaria is prevalent. Anemia during pregnancy has a substantial effect on both the health of the fetus and the mother. Anemia has been identified as the cause of 20% of maternal fatalities in Africa. Iron deficiency is the primary cause of anemia. This research presents a comprehensive model that describes the dynamics of anemia in pregnant women and their fetus. The population is categorized into three classes: susceptible, impacted, and treated. A control factor that varies or changes over time, namely a campaign program, is being investigated. The model exhibits an equilibrium point and the stability of such points is assessed. Furthermore, the sensitivity analysis of the equilibrium point is conducted to identify the crucial parameters. Numerical simulations are conducted to observe the dynamic behavior of the model. Evidence demonstrates that the marketing program is successful in reducing the advancement of diseases. The implementation of an early accelerated campaign program greatly reduces the number of pregnant patients, as well as the yearly miscarriages and fatalities. However, discontinuing the applied treatment may reverse this positive outcome and increase the burden. Findings also suggest that the implementation of control measures helps to minimize the prevalence of anemia but may not eliminate the condition.

Airborne Culturable Fungi in the Indoor and Outdoor Environments of Shrines in Chennai, India

The diversity and concentrations of airborne fungi in the environments of 58 temples across a metropolitan city (Chennai) in India were investigated. Air samples from indoors (within 2 m of the Sanctum sanctorum) and outdoors (at least 10 m away from the Sanctum sanctorum) were collected using the Reuter Centrifugal Sampler (RCS). Of the 90 species isolated, 7 belonged to Zygomycota, 5 to Ascomycota and the remaining 78 to Mitosporic fungi. A total of 3470 colonies were isolated from the indoor environment, which was 13.73% higher than the total recorded outdoors (3051 colonies). An average of 747.7 and 657.5 CFU/m3 of air was recorded in the indoor and outdoor environments, respectively. The predominant species identified in both environments were Aspergillus flavus, A. niger and Cladosporium cladosporioides. While most of the fungal species isolated are considered allergens and pathogens, they can also deteriorate the architecture of shrines. This study indicates the need to implement control measures to minimize the risks of exposure to bioaerosols in public spaces such as shrines.