bluuebunny/crossref_metadata_2025_split huggingface dataset:
Self-collected versus medic-collected sampling for human papillomavirus testing among women in Lagos, Nigeria: a comparative study
Authors: Feng Ning , Ezechi Oliver , Uwandu Mabel , Abimbola Bowofoluwa Sharon , Vincent Grace Deborah , Idigbe Ifeoma , Okoli Leona Chika , Adesina Mary , Okwuzu Jane , Ahmed Rahaman Ademolu , Sokei Judith , Shaibu Joseph Ojonugwa , Momoh Abidemi Esther , Sowunmi Omowunmi , Labo-Popoola Olaoniye Habeebat ,   POPGEC Team, Sunday Mfon Victoria , Fayemi Janet , Udoh Hannah Mfon , Omidiji Mayokun , Ogundepo Oluwatobi , Ogbolu Victor , Ohihoin Greg , David Agatha , Nzeribe Emily , Olaleye Olufemi , Dong Xiao-ping , Onwuamah Chika Kingsley 
Published: October 2022

Abstract
Objective
To evaluate the feasibility and performance of self-collected vaginal swab samples for HPV screening among women in Lagos, Nigeria.

Methods
A cross-sectional study was implemented from March to August 2020 among sexually active women. Study participants provided same-day paired vaginal swab samples. Medic-sampling and poster-directed self-sampling methods were used to collect the two samples per participant. A real-time PCR assay detected HPV 16, HPV 18, other-high-risk (OHR) HPV, and the human β-globin gene. The self-collected samples’ sensitivity, specificity, and accuracy were determined against the medic-collected samples using the MedCalc Online Diagnostic Calculator.

Results
Of the 213 women aged 16 ~ 63-year-old recruited, 187 (88%) participants had concordant results, while 26 (12%) participants had discordant results. Among the 187 concordant results, 35 (19%) were HPV positive, 150 (80%) participants were HPV negative, and two (1%) were invalid. 18 (69%) out of the 26 discordant samples were invalid. The self-collected sample was invalid for 14 (54%) participants. Two (8%) medic-collected samples were invalid. Compared to the medic-collected sample, the self-collected sample was 89.80% (95% CI: 77.77 ~ 96.60%) sensitive and 98.21% (95% CI: 94.87 ~ 99.63%) specific, with an accuracy of 96.31% (95% CI: 92.87 ~ 98.40%). The mean age for HPV positive and negative participants were 39 and 40, respectively, with an ANOVA p-value of 0.3932. The stratification of HPV infection by the age group was not statistically significant (P > 0.05).

Conclusions
With high accuracy of 96%, self-collected sampling is adequate when tested with real-time PCR and may increase the uptake of HPV testing. Though more self-collected samples were invalid than medic-collected samples, most likely due to poor collection, they could be identified for repeat testing. Future implementation can avoid this error with improved guidance and awareness.
COVID-19 surveillance in the Flemish school system: development of systematic data collection within the public health school system and descriptive analysis of cases reported between October 2020 and June 2021
Authors: Merckx Joanna , Crèvecoeur Jonas , Proesmans Kristiaan , Hammami Naïma , Denys Hilde , Hens Niel 
Published: October 2022

AbstractBackgroundThe age-specific distribution of SARS-CoV-2 cases in schools is not well described. Reported statistics reflect the intensity of community transmission while being shaped by biases from age-dependent testing regimes, as well as effective age-specific interventions. A case surveillance system was introduced within the Flemish school and health-prevention network during the 2020–2021 school year. We present epidemiological data of in-school reported cases in pre-, primary and secondary schools identified by the case surveillance system, in conjunction with test data and community cases from October 2020 to June 2021.MethodsWe describe the development of the surveillance system and provide the number of reported cases and standardized rates per grade over time. We calculated absolute and relative differences in case incidence according to school grade (primary: grades 1–6, and secondary: grades 7–12) using grades 7–8 as a comparator, relating them to non-pharmaceutical infection prevention interventions. Cumulative population incidences (IP) stratified by age, province and socioeconomic status (SES) of the school population are presented with their 95% confidence intervals (CI).ResultsA total of 59,996 COVID-19 cases were reported in the school surveillance system, with the highest population adjusted IP in grade 11–12 of 7.39% (95%CI 7.24–7.53) and ranging from 2.23% to 6.25% from pre-school through grade 10. Age-specific reductions in mask introduction and in-person teaching were temporally associated with decreased case incidence, while lower pupil SES was associated with an increase in cumulative cases (excess 2,739/100,000 pupils compared to highest SES tertile). Community testing volumes varied more for children compared to adults, with overall higher child test-positivity. Holidays influence capturing of cases by the system, however efficiency increased to above 75% after further automation and integration in existing structures.ConclusionWe demonstrate that effective integration of case surveillance within an electronic school health system is feasible, provides valuable data regarding the evolution of an epidemic among schoolchildren, and is an integral component of public health surveillance and pandemic preparedness. The relationship towards community transmission needs careful evaluation because of age-different testing regimens. In the Flemish region, case incidence within schools exhibited an age gradient that was mitigated through grade-specific interventions, though differences by SES remain.
Use of mobile data collection systems within large-scale epidemiological field trials: findings and lessons-learned from a vector control trial in Iquitos, Peru
Authors: Elson William H. , Kawiecki Anna B. , Donnelly Marisa A. P. , Noriega Arnold O. , Simpson Jody K. , Syafruddin Din , Rozi Ismail Ekoprayitno , Lobo Neil F. , Barker Christopher M. , Scott Thomas W. , Achee Nicole L. , Morrison Amy C. 
Published: October 2022

AbstractVector-borne diseases are among the most burdensome infectious diseases worldwide with high burden to health systems in developing regions in the tropics. For many of these diseases, vector control to reduce human biting rates or arthropod populations remains the primary strategy for prevention. New vector control interventions intended to be marketed through public health channels must be assessed by the World Health Organization for public health value using data generated from large-scale trials integrating epidemiological endpoints of human health impact. Such phase III trials typically follow large numbers of study subjects to meet necessary power requirements for detecting significant differences between treatment arms, thereby generating substantive and complex datasets. Data is often gathered directly in the field, in resource-poor settings, leading to challenges in efficient data reporting and/or quality assurance. With advancing technology, mobile data collection (MDC) systems have been implemented in many studies to overcome these challenges. Here we describe the development and implementation of a MDC system during a randomized-cluster, placebo-controlled clinical trial evaluating the protective efficacy of a spatial repellent intervention in reducing human infection with Aedes-borne viruses (ABV) in the urban setting of Iquitos, Peru, as well as the data management system that supported it. We discuss the benefits, remaining capacity gaps and the key lessons learned from using a MDC system in this context in detail.
Perspectives on cancer screening participation in a highly urbanized region: a Q-methodology study in The Hague, the Netherlands
Authors: Bongaerts Thomas H. G. , Büchner Frederike L. , Crone Matty R. , van Exel Job , Guicherit Onno R. , Numans Mattijs E. , Nierkens Vera 
Published: October 2022

Abstract
Background
The Netherlands hosts, as many other European countries, three population-based cancer screening programmes (CSPs). The overall uptake among these CSPs is high, but has decreased over recent years. Especially in highly urbanized regions the uptake rates tend to fall below the minimal effective rate of 70% set by the World Health Organization. Understanding the reasons underlying the decision of citizens to partake in a CPS are essential in order to optimize the current screening participation rates. The aim of this study was to explore the various perspectives concerning cancer screening among inhabitants of The Hague, a highly urbanized region of the Netherlands.

Methods
A Q-methodology study was conducted to provide insight in the prevailing perspectives on partaking in CSPs. All respondents were inhabitants of the city of The Hague, the Netherlands. In an online application they ranked a set of 31 statements, based on the current available literature and clustered by the Integrated Change model, into a 9-column forced ranking grid according to level of agreement, followed by a short survey. Respondents were asked to participate in a subsequent interview to explain their ranking. By-person factor analysis was used to identify distinct perspectives, which were interpreted using data from the rankings and interviews.

Results
Three distinct perspectives were identified: 1). “Positive about participation”, 2). “Thoughtful about participation”, and 3). “Fear drives participation”. These perspectives provide insight into how potential respondents, living in an urbanized region in the Netherlands, decide upon partaking in CSPs.

Conclusions
Since CSPs will only be effective when participation rates are sufficiently high, it is essential to have insight into the different perspectives among potential respondents concerning partaking in a CSP. This study adds new insights concerning these perspectives and suggests several ideas for future optimization of the CSPs.
Mapping of lumbar multifidus stiffness Quantification in ankylosing spondylitis with shear-wave elastography
Authors: Wang Mengyu , Liu Jia , Meng Lingcui , Fu Wen , Gao Jing , Ma Ruixia , Luo Yuxuan , Peng Yingjun , Wu Lihua , Li Ziping 
Published: October 2022

Abstract
Background
Lower back pain and stiffness are the typical symptoms of ankylosing spondylitis (AS). In this study, muscle mass was assessed by muscle density, mechanical elasticity, and area. We investigated the characteristics of lumbar paraspinal-muscle (PSM) mass using muscle ultrasound shear-wave elastography (SWE), as well as the validity of this method for identifying patients with AS.

Methods
We recruited a representative cohort of 30 AS patients, and 27 healthy volunteers who were age- and sex-matched to the patient study group, investigated the Young’s modulus (YM), cross-sectional area (CSA) and thickness of lumbar multifidus (LM) muscle using SWE. This study did not need to be randomized. Data were collected at the department of ultrasonography of Guangdong Provincial Hospital of Chinese Medicine. We analyzed the data using SPSS version 18.0 (IBM Corp, Armonk, NY, USA). Normal distribution was evaluated by the Shapiro–Wilk test and Q–Q plots. Demographic and baseline data will be analyzed with standard descriptive statistics. Data will be presented as the mean ± standard deviation (SD). Non-normally distributed data are presented as medians with interquartile ranges (IQR).

Results
Young’s modulus (YM) of SWE in AS patients was significantly higher than that in volunteers. Percentage change in lumbar multifidus (LM) muscle cross-sectional area (CSA) and thickness were significantly lower in AS patients than in healthy volunteers on the left side of the body. Correlation analysis showed a positive correlation between percentage change in CSA and thickness in both volunteers and AS patients. In AS patients, YM was negatively correlated with percentage change of CSA and thickness on the right side, while increased disease duration in AS was associated with increased YM on the left.

Conclusion
AS patients showed reductions in LM muscle mass and function as the disease progressed, SWE could reflect these changes well.
Trial registration.
Chinese Clinical Trial Registry, ChiCTR2000031476. Registered 02/04/2020. http://www.chictr.org.cn/index.aspx.
Association of lipid profile and reported edentulism in the elder population: data from the China Health and Retirement Longitudinal Study
Authors: Wang Shuping , Wang Yutao , Yu Riyue , Yuan Dingxiang , Ni Yaofeng , Wang Lixin , Sun Man , Wang Xin 
Published: October 2022

AbstractObjectivesRelationship between lipid profile and periodontitis has been reported. However, the association between lipid parameters and edentulism is unclear. This study aimed to investigate the association between lipid profile and reported edentulism in the elder population using a national cohort.MethodsA total of 3 100 participants aged 65 or above were enrolled in 2011 from China Health and Retirement Longitudinal Study, which was a national population-based survey. We used adjusted logistics models to investigate the relationship between lipid profile and reported edentulism before and after propensity score matching.ResultsThe mean (SD) age was 71.96 (5.63) years, and 1 581 (51.0%) were men. There were 254 (8.2%) individuals reporting edentulism, and the low-density lipoprotein cholesterol (LDL-C) was significantly higher in the reported edentulism group, compared with the non-edentulism (122.48 vs. 116.91 mg/dl, P = 0.015). In the multivariable model, LDL-C was significantly associated with a higher odds of reported edentulism (adjusted OR [95% CI], 1.004 [1.001–1.008]). In the matched population, LDL-C, non high-density lipoprotein cholesterol, remnant cholesterol, total cholesterol and triglycerides were positively associated with reported edentulism, while HDL-C was negatively associated.ConclusionsLipid profiles are probably associated with edentulism, indicating the interaction between oral health and metabolic status in the elder population.
Assessing the added value of context during stress detection from wearable data
Authors: Stojchevska Marija , Steenwinckel Bram , Van Der Donckt Jonas , De Brouwer Mathias , Goris Annelies , De Turck Filip , Van Hoecke Sofie , Ongenae Femke 
Published: October 2022

Abstract
Background
Insomnia, eating disorders, heart problems and even strokes are just some of the illnesses that reveal the negative impact of stress overload on health and well-being. Early detection of stress is therefore of utmost importance. Whereas the gold-standard for detecting stress is by means of questionnaires, more recent work uses wearable sensors to find continuous and qualitative physical markers of stress. As some physiological stress responses, e.g. increased heart rate or sweating and chills, might also occur when doing sports, a more profound approach is needed for stress detection than purely considering physiological data.

Methods
In this paper, we analyse the added value of context information during stress detection from wearable data. We do so by comparing the performance of models trained purely on physiological data and models trained on physiological and context data. We consider the user’s activity and hours of sleep as context information, where we compare the influence of user-given context versus machine learning derived context.

Results
Context-aware models reach higher accuracy and lower standard deviations in comparison to the baseline (physiological) models. We also observe higher accuracy and improved weighted F1 score when incorporating machine learning predicted, instead of user-given, activities as context information.

Conclusions
In this paper we show that considering context information when performing stress detection from wearables leads to better performance. We also show that it is possible to move away from human labeling and rely only on the wearables for both physiology and context.
Trust-based service innovation of municipal home care: a longitudinal mixed methods study
Authors: Eide Tom , Gullslett Monika K. , Eide Hilde , Dugstad Janne H. , McCormack Brendan , Nilsen Etty R. 
Published: October 2022

AbstractBackgroundIn Scandinavia, various public reforms are initiated to enhance trust in the healthcare services and the public sector in general. This study explores experiences from a two-step service innovation project in municipal home care in Norway, coined as the Trust Model (TM), aiming at developing an alternative to the purchaser-provider split (PPS) and enhancing employee motivation, user satisfaction, and citizen trust. The PPS has been the prevalent model in Norway since the 1990s. There is little empirical research on trust-based alternatives to the PPS in healthcare. The overall objectives of this study were to explore facilitators and barriers to trust-based service innovation of municipal homecare and to develop a framework for how to support the implementation of the TM.MethodsThe TM elements were developed through a comprehensive participatory process, resulting in the decision to organize the home care service in small, self-managed and multidisciplinary teams, and trusting the teams with full responsibility for care decisions and delivery within a limited area. Through a longitudinal mixed methods case study design a) patients’ expressed values and b) factors facilitating or preventing the service innovation process were explored through two iterations. The first included three city districts, three teams and 80 patients. The second included four districts, eight teams and 160 patients.ResultsThe patient survey showed patients valued and trusted the service. The team member survey showed increased motivation for work aligned with TM principles. Both quantitative and qualitative methods revealed a series of facilitators and barriers to the innovation process on different organizational levels (teams, team leaders, system). The key message arising from the two iterations is to keep patients’ values in the centre and recognize the multilevelled organizational complexity of successful trust-based innovation in homecare. Synthesizing the results, a framework for how to support trust-based service innovation was constructed.ConclusionsTrust-based innovation of municipal homecare is feasible. The proposed framework may serve as a tool when planning trust-based innovation, and as a checklist for implementation and improvement strategies. Further research is needed to explore the validity of the framework and its replicability in other areas of healthcare.
Deep learning-based behavioral profiling of rodent stroke recovery
Authors: Weber Rebecca Z. , Mulders Geertje , Kaiser Julia , Tackenberg Christian , Rust Ruslan 
Published: October 2022

Abstract
Background
Stroke research heavily relies on rodent behavior when assessing underlying disease mechanisms and treatment efficacy. Although functional motor recovery is considered the primary targeted outcome, tests in rodents are still poorly reproducible and often unsuitable for unraveling the complex behavior after injury.

Results
Here, we provide a comprehensive 3D gait analysis of mice after focal cerebral ischemia based on the new deep learning-based software (DeepLabCut, DLC) that only requires basic behavioral equipment. We demonstrate a high precision 3D tracking of 10 body parts (including all relevant joints and reference landmarks) in several mouse strains. Building on this rigor motion tracking, a comprehensive post-analysis (with >100 parameters) unveils biologically relevant differences in locomotor profiles after a stroke over a time course of 3 weeks. We further refine the widely used ladder rung test using deep learning and compare its performance to human annotators. The generated DLC-assisted tests were then benchmarked to five widely used conventional behavioral set-ups (neurological scoring, rotarod, ladder rung walk, cylinder test, and single-pellet grasping) regarding sensitivity, accuracy, time use, and costs.

Conclusions
We conclude that deep learning-based motion tracking with comprehensive post-analysis provides accurate and sensitive data to describe the complex recovery of rodents following a stroke. The experimental set-up and analysis can also benefit a range of other neurological injuries that affect locomotion.
A heterozygous missense variant in the YWHAG gene causing developmental and epileptic encephalopathy 56 in a Chinese family
Authors: Yi Zhi , Song Zhenfeng , Xue Jiao , Yang Chengqing , Li Fei , Pan Hua , Feng Xuan , Zhang Ying , Pan Hong 
Published: October 2022

AbstractBackgroundDevelopmental and epileptic encephalopathies (DEEs) are a heterogeneous group of severe disorders that are characterized by early-onset, refractory seizures and developmental slowing or regression. Genetic variations are significant causes of these changes. De novo variants in an increasing number of candidate genes have been found to be causal.The YWHAGgene is one such gene that has been reported to cause developmental and epileptic encephalopathy 56 (DEE56). Here, we report a heterozygous missense variant, c.170G > A (p.R57H), in theYWHAGgene that caused early-onset epilepsy and developmental delay in a Chinese family.MethodsWe described the clinical manifestations of the proband and his mother in detail. Then, we use trio-based whole-exome sequencing to search the etiology of this family.ResultsBoth the proband and his mother exhibited early-onset seizures, intellectual disability, and developmental delay. While the proband attained seizure control with sodium valproate, his mother's seizures were not well controlled. Trio-based whole-exome sequencing revealed a heterozygous missense variant, c.170G > A (p.R57H), in theYWHAGgene, which was considered as the cause of early-onset epilepsy and developmental delay in this family.ConclusionsOur report further confirmed thatYWHAGhaploinsufficiency results in developmental and epileptic encephalopathy 56.
COVID-19 vaccine update: vaccine effectiveness, SARS-CoV-2 variants, boosters, adverse effects, and immune correlates of protection
Authors: Chi Wei-Yu , Li Yen-Der , Huang Hsin-Che , Chan Timothy En Haw , Chow Sih-Yao , Su Jun-Han , Ferrall Louise , Hung Chien-Fu , Wu T.-C. 
Published: October 2022

AbstractCoronavirus Disease 2019 (COVID-19) has been the most severe public health challenge in this century. Two years after its emergence, the rapid development and deployment of effective COVID-19 vaccines have successfully controlled this pandemic and greatly reduced the risk of severe illness and death associated with COVID-19. However, due to its ability to rapidly evolve, the SARS-CoV-2 virus may never be eradicated, and there are many important new topics to work on if we need to live with this virus for a long time. To this end, we hope to provide essential knowledge for researchers who work on the improvement of future COVID-19 vaccines. In this review, we provided an up-to-date summary for current COVID-19 vaccines, discussed the biological basis and clinical impact of SARS-CoV-2 variants and subvariants, and analyzed the effectiveness of various vaccine booster regimens against different SARS-CoV-2 strains. Additionally, we reviewed potential mechanisms of vaccine-induced severe adverse events, summarized current studies regarding immune correlates of protection, and finally, discussed the development of next-generation vaccines.