bluuebunny/crossref_metadata_2025_split huggingface dataset:
Societal uses of the main water bodies inhabited by malaria vectors and implications for larval source management
Authors: Kahamba Najat F. , Tarimo Felista S. , Kifungo Khamisi , Mponzi Winifrida , Kinunda Siaba A. , Simfukwe Alfred , Mapua Salum , Msugupakulya Betwel , Baldini Francesco , Ferguson Heather M. , Okumu Fredros O. , Finda Marceline F. 
Published: November 2024

Abstract
Background
Larval source management (LSM) effectively reduces mosquito populations at their breeding sites, addressing issues like insecticide resistance that limit the effectiveness of primary interventions such as insecticide-treated nets (ITNs). Although traditionally used in urban and dry areas, recent research suggests it might also be effective in rural settings in eastern and southern Africa, where Anopheles funestus thrives in permanent water bodies that sustain year-round transmission. Targeting these habitats could enhance LSM, but it requires understanding local community practices, as mosquito breeding sites often overlap with community water resources. This study examined how communities use aquatic habitats and how these practices may impact LSM strategies, with a focus on habitats used by An. funestus.

Methods
This study was conducted in three villages in the Ulanga and Malinyi districts of southeastern Tanzania using a mixed-methods approach. Quantitative data were collected through cross-sectional surveillance, and qualitative data through unstructured interviews, focus group discussions, and field observations. Data analysis integrated both quantitative and qualitative findings to develop a comprehensive understanding of community perspectives.

Results
A survey of 931 aquatic habitats found mosquito larvae in 73% of them, with late instar An. funestus present in 23%. River streams made up 41% of the habitats, while ground pools accounted for 4%. Most habitats (90%) were used by communities, including 95% of those with An. funestus larvae, for activities such as domestic chores, agriculture, livestock rearing, brickmaking, and fishing. Focus group discussions revealed a willingness to adopt LSM, with a preference for larviciding and habitat modification over habitat removal, as the water sources were vital for daily use. Community concerns centered on the safety of larvicides for humans and animals, the environmental impact, and the need for better awareness of how LSM affects health and livelihoods.

Conclusion
This study highlights community perspectives on LSM, focusing on the dual function of aquatic habitats as mosquito breeding sites and essential community water sources. This dual role presents both challenges and opportunities, suggesting that LSM strategies must balance public health needs with socio-economic realities. There was a clear preference for larviciding and habitat modification over removal, with a strong emphasis on health and environmental safety. The study emphasizes the importance of educating communities on the safety and effectiveness of LSM, and tailoring LSM strategies to fit the needs and preferences of local communities.
Examining malaria treatment and prevention spending efficiency in malaria-endemic countries, 2000–2020
Authors: Apeagyei Angela E. , Cogswell Ian , Patel Nishali K. , O’Rourke Kevin , Tsakalos Golsum , Dieleman Joseph L. 
Published: November 2024

Abstract
Background
In 2021, an estimated 750,000 people died from malaria. Despite this significant burden, globally, malaria incidence and mortality rates have substantially dropped over the last 30 years. However, growth in spending on malaria and improved outcomes have recently stagnated. This development has made it more important than ever to understand what constitutes efficient spending on malaria.

Methods
Data from various sources, including disaggregated data on malaria spending from the WHO Global Malaria Programme, National Health Accounts, and the Global Burden of Disease 2021 study was used in this study. The National Health Account report is produced at the end of a national accounting exercise that aims to map the flow of financial resources from all perspectives—incl. sources, agencies—in the health sector. Malaria spending estimates for all malaria-endemic countries from 2000 to 2020, with government and donor spending disaggregated into 11 key programme areas were generated in this study. Then, these spending estimates were combined with outcome data and estimated country efficiency using robust non-parametric stochastic frontier analysis and linear regression to examine the types of malaria spending associated with better malaria outcomes.

Results
Across malaria-endemic countries, there is wide variation in malaria spending, with spending associated with the malaria burden within the country. Argentina, Paraguay, and Turkmenistan stood out as examples of low spending relative to their respective malaria incident per person at risk rates, while the Philippines, Guatemala, and Sri Lanka stood out as countries with case fatality ratios that were low relative to their malaria spending. Having a greater proportion of malaria spending sourced from donors or on prevention was associated with increases in incidence efficiency, while having a greater proportion of spending on anti-malarial medicines was associated with increases in case fatality efficiency.

Conclusions
Prioritization of spending on prevention, anti-malarial medicines, and health systems strengthening can fight incident cases and fatalities simultaneously, especially in resource-scarce, malaria-endemic countries. Furthermore, improving the availability, frequency of collection, and quality of detailed disaggregated spending data is essential to support work that strengthens the evidence base on spending efficiency and work that improves understanding of how spending on malaria could be leveraged to bridge gaps in equity across population groups.
Cost of treating severe malaria in children in Africa: a systematic literature review
Authors: Mori Amani Thomas , Mallange Grace , Kühl Melf-Jakob , Okell Lucy 
Published: November 2024

Abstract
Background
Malaria is a major cause of ill health and death in children in Africa. The disease also imposes a severe social and economic burden on households and health systems and is strongly associated with poverty. This study summarizes the most up-to-date cost of treating severe malaria in children in Africa.

Methods
A systematic search was conducted in PubMed, Embase, Cinahl, and Web of Science databases. Google and Google Scholar were searched for grey literature followed by scanning of the reference lists of the previous systematic reviews. The search was limited to children < 12 years, malaria-endemic countries in Africa, and the English language. All costs were adjusted to the year 2023.

Results
19 studies conducted in 12 countries were identified: 14 reported provider costs, and 11 household costs. Out of the 19 studies found, 11 were published before 2018 while 11 reported data that are currently more than ten years old. Studies varied methodologically and in the scope of resources included to estimate the cost. The provider costs ranged from USD 27 in Uganda to USD 165 per patient in Kenya (median value USD 90), while household costs ranged from USD 13 in Kenya to USD 245 per patient in Gabon (median value USD 50). All identified household malaria treatment costs except one represented catastrophic health expenditure, making out more than 10% of the monthly Gross National Income per capita in the respective countries.

Conclusion
Evidence on the cost of treating severe malaria in children in Africa is scarce. However, the few existing studies show that severe malaria in children imposes a significant economic burden on the providers and households. More studies are needed, particularly in high-burden high-impact countries, to inform resource allocation decisions.
Problematizing content moderation by social media platforms and its impact on digital harm reduction
Authors: Gomes André Belchior , Sultan Aysel 
Published: November 2024

AbstractRecent years have marked a shift in selling and buying illicit psychoactive drugs from darknet cryptomarkets to publicly accessible social media and messaging platforms. As more users turn to procuring drugs this way, the role of digital harm reduction has become particularly urgent. However, one of the main obstacles complicating the implementation of digital harm reduction is the increasingly automated content moderation by the social media platforms. While some platforms are less restrictive about harm reduction content (e.g., TikTok), others implement higher degrees of moderation, including the removal of individual content and banning of entire profile pages (e.g., Instagram). This article discusses community guidelines of five popular social media and messaging platforms and their content moderation tools. It aims to highlight how these guidelines may be inadvertently curbing the dissemination of harm reduction and health promotion materials, and erroneously interpreting it as a promotion of drug use and sales. The discussion concludes that digital harm reduction requires transdisciplinary collaboration of professional organizations, researchers, and social media platforms to ensure reliable implementation of digital harm reduction, and help build safer digital communities.
Factors associated with under-5 mortality in the south-south region of Nigeria
Authors: Airemen Iziengbe , Danat Isaac M. 
Published: November 2024

Abstract
Purpose
Under-5 mortality rates (U5MR) have declined drastically globally. However, it remains high in Nigeria, with variations across the Country’s six geo-political zones. Understanding the factors associated with under-5 mortality (U5M) among lesser-explored subpopulations will inform strategies to curtail U5M. We investigated the factors associated with U5M in the south-south geopolitical zone (SSGZ) of Nigeria and population attributable risk percent (PAR%).

Method
We analyzed population-based data from the Nigeria Demographic and Health Survey (NDHS) for 2013 and 2018. Logistic regression analysis was used in SPSS version 26.0 to calculate the Odds Ratios (OR) with 95% Confidence Intervals (CI) for U5M associated with various factors, while the PAR% was computed using Levine's formula.

Results
The adjusted logistic regression analysis model showed maternal overweight (OR = 1.39, 95% CI 1.12–1.72, p < 0.05), primary education (OR = 2.18, 95%CI 1.18–4.04 p < 0.05) and secondary education (2.05, 95%CI 1.13–3.72, p < 0.05) levels, male gender (OR=1.22, 95%CI 1.01–1.47, p < 0.05), birth interval of less than two years (OR = 2.93, 95%CI 2.10–4.10, p < 0.001), and small birth size (OR = 2.54, 95% CI 1.94–3.31, P < 0.001) significantly increased U5M risk, while having seven or more household members (OR = 0.73, 95%CI 0.59–0.89, p < 0.05) and 2 under-five children in the household (OR = 0.66, 95% CI 0.52–0.83, p < 0.001) were protective factors, with PAR% for the factor significantly associated with U5M ranging from 4.5% to 47.1%.

Conclusion
Increased interventions on maternal weight, maternal education, low birth size, and child spacing could reduce U5M in the SSGZ of Nigeria.
Corporate activities that influence population health: a scoping review and qualitative synthesis to develop the HEALTH-CORP typology
Authors: Burgess Raquel , Nyhan Kate , Freudenberg Nicholas , Ransome Yusuf 
Published: November 2024

Abstract
Introduction
The concept of the commercial determinants of health (CDH) is used to study the actions of commercial entities and the political and economic systems, structures, and norms that enable these actions and ultimately influence population health and health inequity. The aim of this study was to develop a typology that describes the diverse set of activities through which commercial entities influence population health and health equity across industries.

Methods
We conducted a scoping review to identify articles using CDH terms (n = 116) published prior to September 13, 2022 that discuss corporate activities that can influence population health and health equity across 16 industries. We used the qualitative constant comparative method to inductively code descriptions and examples of corporate activities within these articles, arrange the activities into descriptive domains, and generate an overarching typology.

Results
The resulting Corporate Influences on Population Health (HEALTH-CORP) typology identifies 70 corporate activities that can influence health across industries, which are categorized into seven domains of corporate influence (i.e., political practices, preference and perception shaping practices, corporate social responsibility practices, economic practices, products & services, employment practices, and environmental practices). We present a model that situates these domains based on their proximity to health outcomes and identify five population groups (i.e., consumers, workers, disadvantaged groups, vulnerable groups, and local communities) to consider when evaluating corporate health impacts.

Discussion
The HEALTH-CORP typology facilitates an understanding of the diverse set of corporate activities that can influence population health and the population groups affected by these activities. We discuss how the HEALTH-CORP model and typology could be used to support the work of policy makers and civil society actors, as well as provide the conceptual infrastructure for future surveillance efforts to monitor corporate practices that affect health across industries. Finally, we discuss two gaps in the CDH literature that we identified based on our findings: the lack of research on environmental and employment practices and a dearth of scholarship dedicated to investigating corporate practices in low- and middle-income countries. We propose potential avenues to address these gaps (e.g., aligning CDH monitoring with other occupational health monitoring initiatives).
Clinical efficacy of DSA-based features in predicting outcomes of acupuncture intervention on upper limb dysfunction following ischemic stroke
Authors: Tang Yuqi , Hu Sixian , Xu Yipeng , Wang Linjia , Fang Yu , Yu Pei , Liu Yaning , Shi Jiangwei , Guan Junwen , Zhao Ling 
Published: November 2024

Abstract
Background and objectives
This study aimed to employ machine learning techniques to predict the clinical efficacy of acupuncture as an intervention for patients with upper limb motor dysfunction following ischemic stroke, as well as to assess its potential utility in clinical practice.

Methods
Medical records and digital subtraction angiography (DSA) imaging data were collected from 735 ischemic stroke patients with upper limb motor dysfunction who were treated with standardized acupuncture at two hospitals. Following the initial screening, 314 patient datasets that met the inclusion criteria were selected. We applied three deep-learning algorithms (YOLOX, FasterRCNN, and TOOD) to develop the object detection model. Object detection results pertaining to the cerebral vessels were integrated into a clinical efficacy prediction model (random forest). This model aimed to classify patient responses to acupuncture treatment. Finally, the accuracies and discriminative capabilities of the prediction models were assessed.

Results
The object detection model achieved an optimal recognition rate, The mean average precisions of YOLOX, TOOD, and FasterRCNN were 0.61, 0.7, and 0.68, respectively. The prediction accuracy of the clinical efficacy model reached 93.6%, with all three-treatment response classification area under the curves (AUCs) exceeding 0.95. Feature extraction using the prediction model highlighted the significant influence of various cerebral vascular stenosis sites within the internal carotid artery (ICA) on prediction outcomes. Specifically, the initial and C1 segments of the ICA had the highest predictive weights among all stenosis sites. Additionally, stenosis of the middle cerebral, anterior cerebral, and posterior cerebral arteries exerted a notable influence on the predictions. In contrast, the stenosis sites within the vertebral artery exhibited minimal impact on the model's predictive abilities.

Conclusions
Results underscore the substantial predictive influence of each cerebral vascular stenosis site within the ICA, with the initial and C1 segments being pivotal predictors.
Brain and lung arteriovenous malformation rescreening practices for children and adults with hereditary hemorrhagic telangiectasia
Authors: Beslow Lauren A. , Kim Helen , Hetts Steven W. , Ratjen Felix , Clancy Marianne S. , Gossage James R. , Faughnan Marie E. 
Published: November 2024

Abstract
Background
Patients with hereditary hemorrhagic telangiectasia (HHT) are at risk for organ vascular malformations including arteriovenous malformations (AVMs) in the brain and lungs. North American HHT Centers of Excellence (CoEs) routinely screen for brain and lung AVMs, with the primary goal of detecting AVMs which can be treated before complications arise. Current international HHT guidelines provide recommendations for initial screening for brain and lung AVMs among children and adults with the disease, but rescreening recommendations are not comprehensively addressed and have not been reported. We determined current rescreening practices for brain and lung AVMs for children and adults with HHT among North American HHT CoEs.

Methods
We surveyed North American HHT CoEs regarding rescreening practices for new brain and lung AVMs in children and adults with initial negative screening.

Results
All thirty CoEs responded; 28 regarding pediatric (93.3%) and 30 (100%) regarding adult HHT care. The median duration of practice experience in HHT was 11.5 (range 3–30) years for providers of pediatric HHT care and 11.5 (range 3–35) years for providers of adult HHT care. The median number of patients followed at each CoE was 60 for children (range 8–500) and 375 for adults (range 30–1500). 25/28 CoEs (89.3%) reported rescreening children for brain AVMs, most commonly with enhanced MRI (21/25, 84%). 25 CoEs rescreen children for lung AVMs, most commonly every 5 years (15/25). Only 4/30 CoEs (13.3%) rescreen adults for brain AVMs. 26/30 CoEs (86.7%) reported rescreening adults for lung AVMs, most commonly every 5 years (18/26, 69.2%).

Conclusions
Most HHT CoEs routinely rescreen children for brain and lung AVMs and adults for lung AVMs when initial screening is negative, but adults are infrequently rescreened for brain AVMs. Long-term data regarding risk for new brain and lung AVMs are required to establish practice guidelines for rescreening.
Protocol for a randomized comparative effectiveness trial comparing a very low-carbohydrate diet to DASH diet for polycystic ovary syndrome: the SUPER (Supporting Understanding of PCOS Education and Research) trial
Authors: Greenwell Sarah , Jones Aubree , Smith Yolanda R. , Marriott Deanna , Aikens James E. , Padmanabhan Vasantha , Saslow Laura R. 
Published: November 2024

Abstract

Background

Polycystic ovary syndrome (PCOS), the most common endocrine disorder for women of reproductive age, is associated with increased risk for insulin resistance and type 2 diabetes. Current PCOS treatments insufficiently address the spectrum and severity of the disorder, and there is little evidence-based guidance available for lifestyle management of PCOS, especially through nutritional approaches. Some evidence shows that a very low-carbohydrate diet can improve glucose control compared to low-fat or moderate-carbohydrate diets, leading to improved glucose control and insulin levels that may help to treat symptoms of PCOS. This research investigates whether a very low-carbohydrate diet is more effective in improving glucose control and decreasing symptoms of PCOS in comparison to a DASH diet.

Methods
The SUPER study aims to address the gap in knowledge about nutritional advice for people with PCOS through a randomized, comparative effectiveness trial comparing two approaches to glucose control: the dietary approaches to stopping hypertension (DASH) diet, and a very low-carbohydrate (VLC) diet. We will randomize 184 women with PCOS with body mass indexes (BMIs) between 25 and 50 kg/m2 to a VLC or DASH diet. All participants will follow a 24-session, 12-month, online diet, and lifestyle intervention that teaches their assigned diet. Participants will receive nutritional education, support from diet coaches, and education about behavioral strategies to improve dietary adherence. The primary outcome measure is HbA1c, and secondary outcomes include glucose variance, lipid and hormone levels (including total and free testosterone), PCOS symptoms, inflammation (measured by high-sensitivity C-reactive protein), body composition and weight, psychological well-being, and intervention feasibility and acceptability.

Discussion
The SUPER study is a randomized comparative effectiveness trial that compares two promising approaches to glucose control in people with PCOS. The study also aims to assess the effects of each diet on PCOS symptoms. The research addresses an important gap in knowledge regarding nutritional advice for people with PCOS.

Trial registration
ClinicalTrials.gov NCT05452642. Registered 6 July 2022.
A new trial monitoring plan (TMP) template for clinical trials: output from a Delphi process
Authors: Taheri Shiva , Yorke-Edwards Victoria , Sydes Matthew R. , Isaacs Talia , Love Sharon B. 
Published: November 2024

Abstract
Background
Monitoring is a crucial part of trial conduct and ensures that participants’ data is fairly represented, and future healthcare information is enhanced. This project aims to improve trial monitoring by creating a trial monitoring plan (TMP) template with input from individuals experienced in monitoring clinical trials.

Methods
A review of monitoring plans received from UK Clinical Research Collaboration (UKCRC) registered clinical trials units (CTU)s created the basis for a preliminary TMP template and a Delphi survey. The TMP template was finalised after 2 rounds of a Delphi survey and a two-part consensus meeting including trialists with experience and expertise in monitoring clinical trials.

Results
We received 31 monitoring plans from UKCRC-registered CTUs and reviewed over 800 monitoring items for inclusion in a TMP template, selecting items based on guidelines such as Good Clinical Practice (GCP) and our monitoring experiences. For certain items, further expert input was required. A total of 66 items were chosen for a Delphi survey involving 47 participants from 25 UK CTUs and industry. After the first round, all 66 items were retained, and six additional items were suggested by Delphi participants. In the second round, 37 items reached consensus for inclusion in the TMP template. The Delphi process was followed by a consensus meeting with 9 participants from 9 UK CTUs and industry. Participants in the consensus meeting voted on the 32 further items that had not reached the definition of consensus within the Delphi, regarding each item’s inclusion in or exclusion from the TMP template. The voting resulted in 18 items being excluded, leaving 14 items to be included in the TMP template. The process overall resulted in a standardised TMP template with input from many individuals with interest, experience, or expertise in monitoring clinical trials.

Conclusion
A TMP template was developed building on the currently used monitoring plans and with input from those experienced in clinical trial monitoring. Using a centrally developed good quality TMP template should contribute towards maintaining consistency in monitoring standards across all CTUs, resulting in higher research quality and improved quality assurance. Its use should provide reassurance to participants that their participation is carefully monitored to ensure that their data or any samples provided are treated with confidentiality, integrity, and respect and that their rights and well-being are protected.