Control Efforts Research Articles

MosquitoSong+: A noise-robust deep learning model for mosquito classification from wingbeat sounds.

In order to assess risk of mosquito-vector borne disease and to effectively target and monitor vector control efforts, accurate information about mosquito vector population densities is needed. The traditional and still most common approach to this involves the use of traps along with manual counting and classification of mosquito species, but the costly and labor-intensive nature of this approach limits its widespread use. Numerous previous studies have sought to address this problem by developing machine learning models to automatically identify species and sex of mosquitoes based on their wingbeat sounds. Yet little work has addressed the issue of robust classification in the presence of environmental background noise, which is essential to making the approach practical. In this paper, we propose a new deep learning model, MosquitoSong+, to identify the species and sex of mosquitoes from raw wingbeat sounds so that it is robust to the environmental noise and the relative volume of the mosquito's flight tone. The proposed model extends the existing 1D-CNN model by adjusting its architecture and introducing two data augmentation techniques during model training: noise augmentation and wingbeat volume variation. Experiments show that the new model has very good generalizability, with species classification accuracy above 80% on several wingbeat datasets with various background noise. It also has an accuracy of 93.3% for species and sex classification on wingbeat sounds overlaid with various background noises. These results suggest that the proposed approach may be a practical means to develop classification models that can perform well in the field.

Can Benzimidazole Resistance Undermine the Philippines’ Success in Controlling and Eliminating Soil-Transmitted Helminth Infections? A Mini-Review

Abstract Soil-transmitted helminth (STH) infections remain a significant global health burden, affecting over 1.5 billion people worldwide. In the Philippines, STH infections continue to be prevalent, despite ongoing control efforts. The Integrated Helminth Control Program (IHCP), whose cornerstone is mass drug administration (MDA) with benzimidazole drugs, has shown some success in reducing STH prevalence in the country. However, the persistence of infection prevalence being above the national and global targets and the potential for benzimidazole resistance have raised concerns about the long-term sustainability of current control strategies. This review examines the development of benzimidazole resistance in STH, focusing on the role of single nucleotide polymorphisms (SNPs) in the β-tubulin isotype that alter the protein’s amino acid constitution, thereby negatively affecting benzimidazole drug binding efficiency. This review discusses the epidemiology of STH infections in the Philippines, the implementation of IHCP and the potential challenges posed by benzimidazole resistance. This review highlights the need for further research to assess the occurrence of benzimidazole resistance in Philippine STH populations and to explore alternative control strategies. Understanding the mechanisms of benzimidazole resistance and developing effective countermeasures is crucial for achieving sustainable STH control and elimination in the Philippines.

Factors Influencing the Incident of Acute Respiratory Tract Infections in Children Aged 12-59 Months in Wallandimu East Nusa Tenggara

Background: Acute Respiratory Infection Disease is one of the highest causes of morbidity and mortality in children under five in Indonesia, especially in East Nusa Tenggara. The implementation of the ISPA disease control program focuses on finding and treating sufferers as early as possible by involving the active role of cadres, integrated health service support and referrals to related health facilities, however, these control efforts have not shown significant results. Purpose: The aim of this study was to determine the factors that influence the incidence of Acute Respiratory Infection Disease in children aged 12-59 months in the Wallandimu Community Health Center working area. Method: This research uses an analytical research design with a cross sectional approach. The population in this study were toddlers aged 12-59 months in the Wallandimu health center working area and the sample in this study was 30 toddlers. The sampling technique in this research was simple random sampling. The Chi-Square statistical test was used to determine the relationship between variables. Results: The results of the research from 18 respondents showed complete immunization status (76.7%), poor nutritional status (60.0%), and insufficient knowledge (56,7%) regarding the incidence of ISPA in the Wallandimu Health Center working area. The results of bivariate analysis showed no influence between immunization status and the incidence of ISPA (p= 0.896 > 0.05), there was an influence between nutritional status and the incidence of ISPA (p= 0.007 < 0.05), there was an influence between maternal knowledge and the incidence of ISPA (p = 0.010 < 0.05). Conclusion: It is hoped that the Wallandimu Community Health Center will further improve its health programs, especially the Acute Respiratory Infection Disease control program for toddlers and provide education regarding maternal knowledge and the dangers of malnutrition for toddlers, so that the incidence of Acute Respiratory Infection Disease in children aged 12-59 months will decrease.

Adaptive control scheme for cooperative transport systems navigation under uncertainty

An adaptive robust control scheme for a cooperative transport system is proposed to tackle the challenges arising from parameter uncertainty, external interference, measurement errors, and other factors. The cooperative transport system consists of a leader automated ground vehicle, a baggage carrier, and a follower automated ground vehicle. Firstly, a mechanics-based independent dynamic model without constraints is established for each component within the system, and the coupling relationship between components is analyzed to design the constraint function. Secondly, to address inaccuracies in initial conditions, the trajectory errors in both their zero- and first-order forms are introduced. A closed-form dynamic model that is subject to constraints is then developed for the entire cooperative system, incorporating both structural and performance constraints. Thirdly, an innovative adaptive robust control scheme is introduced for mechanical systems facing uncertainty. An adaptive law is devised to estimate the bounds of uncertainty. The control is deterministic and can be mathematically expressed in a closed-form. Fourthly, a constrained optimization problem is formulated using the fuzzy information of uncertainty to choose an appropriate optimal gain kopt of the adaptive law. This is achieved by minimizing the combination of average fuzzy system performance and control effort. Finally, numerical simulations are conducted to verify the effectiveness and adaptability of the proposed control method. The performance of controlled cooperative transport system is both deterministically guaranteed and fuzzily optimized.

From emergence to endemicity of highly pathogenic H5 avian influenza viruses in Taiwan

A/goose/Guangdong/1/96-like (GsGd) highly pathogenic avian influenza (HPAI) H5 viruses cause severe outbreaks in poultry when introduced. Since emergence in 1996, control measures in most countries have suppressed local GsGd transmission following introductions, making persistent transmission in domestic birds rare. However, geographical expansion of clade 2.3.4.4 sublineages has raised concern about establishment of endemic circulation, while mechanistic drivers leading to endemicity remain unknown. We reconstructed the evolutionary history of GsGd sublineage, clade 2.3.4.4c, in Taiwan using a time-heterogeneous rate phylogeographic model. During Taiwan’s initial epidemic wave (January 2015 - August 2016), we inferred that localised outbreaks had multiple origins from rapid spread between counties/cities nationwide. Subsequently, outbreaks predominantly originated from a single county, Yunlin, where persistent transmission harbours the trunk viruses of the sublineage. Endemic hotspots determined by phylogeographic reconstruction largely predicted the locations of re-emerging outbreaks in Yunlin. The transition to endemicity involved a shift to chicken-dominant circulation, following the initial bidirectional spread between chicken and domestic waterfowl. Our results suggest that following their emergence in Taiwan, source-sink dynamics from a single county have maintained GsGd endemicity up until 2023, pointing to where control efforts should be targeted to eliminate the disease.

Prevalence and patterns of tobacco use among young adults in India - does perceived stress play a role?

Background: Tobacco use among young people is a public health concern. Perceived stress among young adults as a determinant for tobacco use has not been extensively explored previously in India. Methods: A cross-sectional study was conducted among young adults aged 18-30 years across India. Data was collected using a self-administered, web-based, online questionnaire, on sociodemographic characteristics, tobacco use and its pattern, and the levels of perceived stress using the Perceived Stress Scale (PSS-10). Results: The prevalence of tobacco use in our study sample was 25.7% and the mean age at initiation of tobacco use was 20.71 years. Though tobacco use was significantly associated with male gender [aOR=2.26 (1.16-4.38), p=0.01], current alcohol consumption [aOR=13.73 (6.72-28.04), p=0.00] and having known smokers among family and friends [aOR=3.13 (1.39-7.04), p=0.01], there was no association between levels of perceived stress and tobacco use. Cigarettes/beedis were the most commonly used tobacco product, 27.58% of respondents reported using tobacco products daily or for more than half the days of the week and 48.27% of respondents started using tobacco out of curiosity. Seventy percent of users used tobacco during specific events like social gatherings and vacations while 57.47% used tobacco while meeting specific colleagues/ friends. Conclusions: We found no association between perceived stress and tobacco use. However, current use of alcohol and having knowledge about smokers among family and friends significantly determined tobacco use among our study population. This necessitates more holistic approaches towards behaviour change efforts for tobacco control.

COMPREHENSIVE INJURY PREVENTION STRATEGIES FOR FOOTBALL PLAYERS

Injury prevention in football is a critical issue for athletes, coaches, and health professionals, given the sport's dynamic movements that elevate the risk of muscle and joint injuries. Effective strategies should incorporate specialized physical training and physiotherapeutic interventions to optimize player protection and performance. Preventive training programs, emphasizing muscle strengthening and proprioception, are essential for reducing injury risks. Specific exercises targeting the hamstrings, quadriceps, calves, and core enhance joint stability and mitigate overload injuries. Neuromuscular training, which includes balance exercises and plyometrics, improves proprioception and helps prevent falls and twists. Flexibility through regular stretching and dynamic warm-ups, such as the FIFA 11+, is crucial for preparing players physically and lowering injury incidence. Additionally, physiotherapists play a vital role in injury prevention through functional assessments to identify muscle imbalances and develop corrective exercise programs. Manual therapy techniques, joint stabilization exercises, and preventive rehabilitation further contribute to maintaining soft tissue quality and preventing muscle strains. Monitoring training load is another fundamental aspect of injury prevention, as abrupt changes in training intensity can lead to injuries. Using tracking technologies allows for better control of players' physical efforts. Studies indicate that implementing structured injury prevention programs significantly reduces injury rates and enhances athletic performance. Research highlights the importance of a multicomponent approach, individualized training, and load management to lower hamstring injuries. Collaboration among athletes, coaches, and health professionals is crucial to create a safe training environment. As football evolves, prioritizing injury prevention is essential for players' health, success, and career longevity.

Cost-effective chemiresistive biosensor with MWCNT-ZnO nanofibers for early detection of tuberculosis (TB) lipoarabinomannan (LAM) antigen.

Thedevelopment of an affordable chemiresistive biosensor enhanced with a multi-walled carbon nanotube-zinc oxide (MWCNT-ZnO) nanofiber compositeis presented. The sensor leverages the precise interaction between lipoarabinomannan (LAM) tuberculosis (TB) antigens and antibodies to achieve high sensitivity and specificity. The MWCNT-ZnO nanofibers have a larger surface area and better electrical conductivity, which makes it easier for TB antibodies to stick to them. The binding of LAM TB antigens to the fixed Monoclonal Antibody-MBS320597 induces significant resistance changes in the chemiresistive sensor, enabling accurate TB detection. Performance evaluation reveals a linear detection range from 1.0 to 100.0pg/mL in the lower concentration range and up to 6.0ng/mL in the higher concentration range, with a sensitivity of 79.750mApgmL-1cm-2 and a lower limit of detection of 40.54fg/mL. The sensor exhibits a response time of 102s. Featuring rapid response time and high sensitivity, this biosensor is ideally suited for point-of-care (PoC) applications. The incorporation of MWCNT-ZnO nanofibers shows great potential for enhancing the development of sensitive and cost-effective TB diagnostic tools, which could play a crucial role in advancing global TB control and management efforts.

A dynamical optimal control theory and cost-effectiveness analyses of the HBV and HIV/AIDS co-infection model.

Studies have shown that the co-infection of Human Immunodeficiency Virus (HIV) and Hepatitis B Virus (HBV) poses a major threat to the public health due to their combined negative impacts on health and increased risk of complications. Even though, some scholars formulated and analyzed the HBV and HIV co-infection model they did not consider the compartment that contains protected individuals against both HBV and HIV infections. They incorporated the optimal control theory and cost-effectiveness analysis simultaneously. With this in mind, we are motivated to formulate and analyze the HBV and HIV co-infection model, considering the protected group and incorporating optimal control theory and cost-effectiveness. In this study, we have theoretically computed all of the models disease-free equilibrium points, all the models effective reproduction numbers and unique endemic equilibrium points. The two sub-models disease-free equilibrium points are locally as well as globally asymptotically stable whenever their associated effective reproduction numbers are less than one. We reformulated the optimal control problem by incorporating five time-dependent control measures and conducted its theoretical analysis by utilizing the Pontryagin's maximum principle. Using the fourth order Runge-Kutta numerical method and MATLAB ODE45, we performed the numerical simulations with various combinations of control efforts to verify the theoretical results and investigate the impacts of the suggested protection and treatment control strategies for both the HBV and HIV diseases. Also, we carried out a cost-effectiveness analysis of the proposed control strategies. Eventually, we compared our model results with other researcher similar model results whenever cost-effectiveness analysis is not carried out the findings of this particular study suggest that implementing each of the proposed control strategies simultaneously has a high potential to reduce and control the spread of HBV and HIV co-infections in the community. According to the cost-effectiveness analysis, implementing the HBV treatment and the HIV and HBV co-infection treatment measures has a high potential effect on reducing and controlling the HBV and HIV co-infection transmission problem in the community.

Bovine tuberculosis reactor cattle in Southwest Ethiopia: Risk factors for bovine tuberculosis

Bovine tuberculosis, caused by Mycobacterium bovis, is a chronic zoonotic disease that persists in Ethiopia despite global control efforts, impacting public health and the economy. However, little is known about the epidemiology of bovine tuberculosis in Southwest Ethiopia. This study aims to assess the prevalence of bovine tuberculosis and identify associated risk factors in dairy cattle. A cross-sectional study was conducted from October 2022 to October 2023 in four districts in the Sheka, Bench-Sheko, and Keffa zones. A multistage sampling approach was employed, resulting in the selection of 1,152 cattle from various herds. Tuberculin skin testing was performed to detect bovine tuberculosis, and data on potential risk factors were collected through questionnaires. Logistic regression models were used to analyze the association between bovine tuberculosis and various risk factors. The overall prevalence of bovine tuberculosis was 4.95% at the cow level and 22.19% at the herd level in the study areas. Significant herd-level risk factors for bovine tuberculosis included lowland areas, larger herd sizes, and the introducing new animals. At the cow level, risk factors included age, breed, body condition, herd size, introduction of new animals, and management system. The study reveals a high prevalence of bovine tuberculosis in dairy cattle in Southwest Ethiopia, identifying key risk factors. Effective control requires targeted interventions, such as improved management practices, enhanced farmer awareness, and a better understanding of and guidance on bovine tuberculosis strategies in Ethiopia. Future research should isolate and characterize M. bovis in the study areas.

Model-based and model-free position control of a servo pneumatic system in the presence of uncertainties and disturbances

Trajectory tracking in electro-pneumatic systems poses a significant challenge due to the nonlinearity of their dynamics. This research aims to analyze the performance of various types of controllers for a laboratory-scale pneumatic system in terms of energy consumption and control efforts. By considering the mathematical relationships among system components, a precise gray-box mathematical model is developed based on experimental data. Subsequently, different linear model-free and nonlinear model-based controllers, is designed and their performances are compared by measuring tracking error, control effort, maximum overshoot, settling time, robustness against disturbances, and energy efficiency in the presence of severe disturbances. The effectiveness of these control methods is assessed through experimental tests and compared.

The role and needs of teachers/schools in infection, prevention and control post covid-19

Abstract Introduction COVID-19 highlighted the importance of infection prevention and control (IPC) across all settings. As children are important transmitters of infection, teachers and schools play an important role in infection prevention. The aim of this study is to understand attitudes towards, and knowledge of IPC in schools post-Covid, and highlight any gaps in the training and resources needed. Methods An online survey of 1000 primary and secondary school teachers was carried out across England. Pearson’s chi-squared test, corrected for survey design, was used to test for differences in proportions across levels of categorical variables. Two qualitative workshops with eight head teachers were carried out to gather more in-depth information. Results 1000 teachers completed the survey across a range of teaching roles. Respondents reported that IPC measures are now less frequently implemented than during the pandemic. 71% of respondents say their role has changed since the pandemic, now having more responsibility for pupil health and hygiene; higher in primary versus secondary school teachers (31% v 25%; p < 0.05). 1/3 felt this change was permanent; 84% had no IPC training. Knowledge gaps were identified in the areas of IPC roles within schools, and IPC measures. 72% teachers claim they feel better prepared to deal with a public health outbreak compared to pre-pandemic, although 22% do not have an updated IPC policy; 35% had unmet needs. Conclusions Schools and teachers play a pivotal role in preventing the spread of communicable disease, highlighted during the COVID-19 pandemic. Teachers need, and more importantly want, more IPC training. Training and updated policies would support the educational workforce who feel their needs are not being met. Providing more streamlined, consistent, clear and concise information from trusted sources is required. Key messages • It is imperative to understand educators’ role in IPC in schools as they are key players in supporting local and national efforts to reduce the spread of infections. • Teachers desire further training with comprehensive information, and up-to-date policies to support their infection prevention and control efforts in educational settings.

Fuel Efficiency Optimization in Adaptive Cruise Control: A Comparative Study of Model Predictive Control-Based Approaches

This work investigates the fuel efficiency potential of Adaptive Cruise Control (ACC) systems, focusing on two optimization-based control approaches for internal combustion engine (ICE) vehicles. In particular, this study compares two model predictive control (MPC) designs. In the first approach, a strictly quadratic cost is adopted, and fuel consumption is indirectly minimized by adjusting the weights assigned to state tracking and control effort. In the second approach, a fuel consumption map is explicitly included in the MPC cost function, aiming to directly minimize it. Both approaches are compared to a globally optimal benchmark obtained with dynamic programming. Although these methods have been discussed in the literature, no systematic comparison of their relative performance has been conducted, which is the primary contribution of this article. The results demonstrate that, with proper tuning, the simpler quadratic approach can achieve comparable fuel savings to the approach with explicit fuel consumption minimization, with a maximum variation of 0.5%. These results imply that the first alternative is more suitable for online implementation, due to the more favorable characteristics of the associated optimization problem.

Impact of artificial intelligence on healthcare-associated infection control: a systematic review

Abstract Background Healthcare-associated infections (HAIs) represent a significant public health concern, correlating with increased morbidity, mortality rates and healthcare expenditures. While artificial intelligence (AI) systems offer transformative potential in enhancing HAIs detection and control practices, the actual performance effectiveness of these systems remains uncertain. This systematic review updates a previously published study from 2020 and evaluates the performance of AI-based tools for surveillance, detection, and control of HAIs. Methods PRISMA 2020 guidelines were applied. The study protocol has been registered in PROSPERO (ID: CRD42024513145). PubMed, Embase, Scopus and Web of Science were searched for experimental and observational studies assessing the performance of AI-based tools to detect and control HAIs, published in English. Results From 8,701 articles initially identified, 4,212 records were removed due to duplication. Out of 4,489 papers screened, 147 were included. Studies reported performance measures including sensitivity, specificity, positive and negative predictive values, area under the receiver operating characteristic curve, accuracy, precision, F1 score. Significant heterogeneity was found in the types of technology, infections targeted, health care settings and data sources between studies. Conclusions The increase in published evidence since the previous review reflects the growing interest and use of new technologies such as Large Language Models, showing promising performance in surveillance, early diagnosis and prediction of HAIs. However, the observed heterogeneity in study designs, targeted infections, healthcare settings, and data sources underscores the need for standardised methodologies and robust validation processes to ensure the reliability and comparability of results across different studies. Key messages • The use of AI-based tools has the potential to enhance surveillance, detection, and control of healthcare-associated infections, offering a transformative impact on healthcare systems. • Standardised methodologies and validation processes are needed to ensure comparable results across studies and to maximise the real-world impact of AI tools in HAI surveillance and control efforts.

Expanding access to non-communicable disease screening in war-affected communities in Ukraine

Abstract Background Non-communicable diseases (NCDs) account for 91% of premature deaths in Ukraine. However, NCD screening lags among young people and across the entire population. The ongoing war has exacerbated barriers to NCD screening due to damaged infrastructure, understaffed medical facilities, and health system deterioration. Intervention/response To improve screening, diagnosis, and care, in March 2023 the PATH-led, USAID-funded Support TB Control Efforts in Ukraine (STBCEU) project established community level health access points (HAPs) in five conflict-affected communities. STBCEU procured screening tools (tannometers, glucometers, portable ECGs) for common NCDs, printed informational materials, trained 143 specialists, designed a reporting system, and facilitated monitoring visits to 77 HAPs. Results By the end of 2023, the project equipped 113 HAPs in the five communities, and 102 of them initiated NCD screening. From January-March 2024, 1,694 people under 40 years old were screened for NCDs. Among 1,488 blood pressure measurements, 143 cases had high readings (9.6 ±1.5%), 90 (62.9%) of which were first-time diagnoses, and 53 (37.1%) treatment monitoring. Glucose levels were measured 809 times, with elevated levels in 44 cases (5.4 ±1.5%), 30 (68.2%) of which were first-time diagnoses, and 14 (31.8%) treatment monitoring. Additionally, 1,144 mental health consultations were provided. Conclusions This initiative represented a first in Ukraine: per national requirements, young people have not historically been screened for NCDs. Expanding NCD screening in war-affected communities has demonstrated substantial early success, with significant detection of high blood pressure and elevated glucose levels among people under 40. This proactive, cost-effective intervention underscores the need for accessible, community-level health interventions in crisis settings and showcases a scalable model for integrating NCD screening into emergency health response frameworks. Key messages • The implementation of community-level NCD screening has shown early success in detecting high blood pressure and elevated glucose levels among people under 40. • Cost-effective NCD screening underscores the need for accessible, community health interventions, providing a scalable model for integrating NCD screening into emergency health response.

The role of communication in the successful implementation of the Slovenian NCCP

Abstract Issue Cancer remains a significant global public health challenge, necessitating comprehensive strategies for effective control and management. Slovenian National Cancer Control Programme (NCCP) addresses this challenge by prioritizing proactive communication with various stakeholders engaged in cancer care planning, delivery and advocacy. The communication strategy within this programme plays a pivotal role in its successful implementation. Description of the problem Active engagement and collaboration among stakeholders is crucial for achieving the programme’s objectives. NCCP seeks to address this challenge through various communication activities by fostering dialogue, sharing best practices, and facilitating networking opportunities among oncology professionals throughout Slovenia. Additionally, it seeks to strengthen partnerships with sectors beyond health and prioritizes engagement with cancer patient advocacy groups. Results The programme has devised a long-term communication strategy, guiding annual communication plans to engage stakeholders and foster support for its objectives. Notable communication activities in the period 2022-2024 include: organizing annual meetings for different oncology stakeholders including cancer patient associations, hosting impactful professional events, conducting visits to regional cancer hospitals, distributing e-newsletters and managing a NCCP website. Initial outcomes indicate strengthened communication and collaboration among professionals and institutions in the field of oncology nationwide. Engagement with patient advocacy groups has facilitated discussions on topics important to patients. Lessons Effective communication with diverse stakeholders is crucial for comprehensive cancer control. Collaborating across sectors enhances the impact of cancer control initiatives. Enhanced networking fosters innovation and synergy among oncology professionals, positioning Slovenia for greater success in cancer control. Key messages • Slovenia’s NCCP prioritizes proactive communication, fostering collaboration among stakeholders. Annual events, newsletter, and partnerships strengthen awareness and drive comprehensive cancer control. • Long-term communication strategy of Slovenia’s NCCP drives stakeholder engagement, and supports strategic objectives. This proactive approach strengthens comprehensive cancer control efforts.

Leveraging digital adherence technologies to enhance public health: insights from TB care in Ukraine

Abstract Background Effective tuberculosis (TB) care is vital for public health, especially in war-affected Ukraine. In response to the complex healthcare delivery landscape, where traditional directly observation treatment methods became impractical, digital adherence technologies (DATs) emerged as a promising solution, offering more autonomy for people, and remote monitoring capabilities for healthcare providers. Intervention The PATH-led USAID-funded Support TB Control Efforts in Ukraine (STBCEU) project implemented smart pill boxes in eleven Ukrainian regions. These devices equipped with built-in reminders helped people adhere to their medication regimen, and signaled healthcare providers when the box was opened. Results Since April 2022, STBCEU has supported 2,022 people with TB who used smart pill boxes during their treatment, including 489 (24%) with drug-resistant TB (DR-TB). A total of 482 people continue utilizing boxes. Of 1,540 people with TB who completed the use of boxes, 1,207 people (78%) successfully completed TB treatment with an average of 84% treatment adherence rate digitally reported by the technology. Conclusions The integration of smart pill boxes in TB management has enhanced people-centered care, ensuring treatment continuity even in challenging circumstances and providing healthcare providers with real-time adherence data. The innovation contributed to TB control efforts and health equity through expanding opportunities for people to choose their treatment model based on their needs, available resources and community support programs. Leveraging digital solutions proved to be essential in strengthening healthcare systems. In the realm of TB management, DATs enhance differentiated care, embodying a harmonious integration of technology automation and provider interventions. Key messages • Integration of smart pill boxes enhanced patient-centered care, providing real-time adherence data and empowering individuals to choose personalized treatment models. • Digital technologies like smart pill boxes transformed TB care, offering tailored support for patients and remote monitoring capabilities for healthcare providers even in challenging circumstances.

Long-term disability following childhood injury: an imperative to monitor and address the continuum of trauma care

Abstract Background While injuries remain a leading cause of childhood death, increasing proportions of children survive life-threatening injuries. However, robust epidemiological data on their risks of long-term disability are scant, undermining comprehensive injury control efforts. This population-based prospective cohort study investigated the functional status and health-related quality of life of seriously injured Australian children over a 5-year period. Methods Patients aged <18 years hospitalised for major trauma (Injury Severity Score >12) in the State of Victoria over a 12-month period were followed-up at 6, 12, 24, 36, 48 and 60-months post-injury. Primary outcomes were assessed using the PedsQL, King’s Outcome Scale for Childhood Head Injury and the Glasgow Outcome Scale-Extended. Multivariable regression models investigated factors associated with outcomes. Results Of the 186 participants, 71% were retained to 60 months post-injury. At five years post-injury, only 39% had fully recovered while 39% experienced moderate to severe disability. Despite gains in functional status across the five years, psychosocial recovery lagged improvements in physical health. Factors associated with adverse outcomes included older age at injury, female sex, socio-economic disadvantage, remote/regional (versus urban) residence, pre-existing comorbidities, and injuries deemed compensable, intentional, or involving head trauma. Implications The high risks of long-term disability following serious childhood injury highlight the need for robust injury control efforts that monitor and address the inequitable burden of childhood injury, including the social determinants influencing the occurrence as well as sequelae following injury.

Molecular characterisation of human rabies in Tanzania and Kenya: a case series report and phylogenetic investigation

BackgroundRabies remains a major public health problem in low- and middle-income countries. However, human rabies deaths are rarely laboratory-confirmed or sequenced, especially in Africa. Five human rabies deaths from Tanzania and Kenya were investigated and the causative rabies viruses sequenced, with the aim of identifying implications for rabies control at individual, healthcare and societal levels.Case presentationThe epidemiological context and care of these cases was contrasting. Four had a clear history of being bitten by dogs, while one had an unclear biting history. Two individuals sought medical attention within a day of being bitten, whereas three sought care only after developing rabies symptoms. Despite seeking medical care, none of the cases received complete post-exposure prophylaxis: one patient received only tetanus vaccination, one did not complete the post-exposure vaccination regimen, one followed an off-label vaccination schedule, and two did not receive any post-exposure vaccinations before the onset of symptoms. These cases highlight serious gaps in health-seeking behaviour, and in health systems providing appropriate care following risky exposures, including in the accessibility and effectiveness of post-exposure prophylaxis as it is administered in the region.ConclusionsThe viral genomic and epidemiological data confirms dog-mediated rabies as the cause of each of these deaths. The phylogenetic investigation highlights the transboundary circulation of rabies within domestic dog populations, revealing distinct rabies virus clades with evidence of regional spread. These findings underscore the importance of coordinated cross-border control efforts between the two countries. Urgent action is needed to improve awareness around the need for emergency post-exposure vaccines that should be accessible in local communities and administered appropriately, as well as investment in coordinated dog vaccination to control dog-mediated rabies, the underlying cause of these deaths.Graphical

Introduction of wastewater surveillance of SARS-CoV-2 in Ukraine

Abstract Since the Russian invasion, Ukraine has faced humanitarian crises and challenges in diseases surveillance. The primary healthcare (PHC) system struggled with growing numbers of internally displaced and wounded people. In October 2022, the PATH-led, USAID-funded Support TB Control Efforts in Ukraine (STBCEU) project, supported implementation of wastewater surveillance (WWS) for SARS-CoV-2 in four oblasts on request of the Ministry of Health (MoH), expanding to 18 oblasts by October 2023. Samples were collected from 64 sites twice per week and tested for SARS-CoV-2 and influenza A/B using BioExtract® Premium Mag test kits in regional laboratories. From October 2022 to April 2024, 4,784 samples were collected at municipal aqueducts, with SARS-CoV-2 delta and omicron variants detected across all regions. WWS sample results were compared with routine surveillance to assess trends in concentrations and reported cases among population. Gradual decrease in SARS-CoV-2 concentration to zero by May 29, 2023, coincided with a decrease in morbidity. In the last week of August 2023, the concentration of the SARS-CoV-2 in wastewater began its gradual increase with the beginning of new cases registration among the population within 2 weeks, by mid-September. From October 2023, SARS-CoV-2 dominated in 96.6% of positive WWS testing results; in other specimens, influenza and respiratory viruses have been identified. The implementation of WWS in Ukraine highlighted its effectiveness as a public health tool in settings where traditional surveillance methods are disrupted, providing timely data on the viral pathogens for outbreaks prediction and responses, underscoring its role in preventive health measures. The MOH of Ukraine recommended extending the method nationwide for routine surveillance of SARS-CoV-2 and other pathogens, enhancing Ukraine’s capacity to manage public health threats and strengthen the resilience of its health system against future crises. Key messages • WWS in Ukraine underscores its effectiveness as a public health tool, providing timely data on viral pathogens for outbreak prediction and response in disrupted settings. • Notable decline in SARS-CoV-2 concentration in wastewater correlates with reduced morbidity, highlighting WWS’s predictive value.