Background: Armed conflict, food insecurity, epidemic cholera, economic decline and deterioration of essential public services present overwhelming challenges to population health and well-being in Yemen. Although the majority of the population is in need of humanitarian assistance and civil servants in many areas have not received salaries since 2016, many healthcare providers continue to work, and families continue to need and seek care.
Methods: This case study examines how reproductive, maternal, newborn, child and adolescent health and nutrition (RMNCAH+N) services have been delivered since 2015, and identifies factors influencing implementation of these services in three governorates of Yemen. Content analysis methods were used to analyze publicly available documents and datasets published since 2000 as well as 94 semi-structured individual and group interviews conducted with government officials, humanitarian agency staff and facility-based healthcare providers and six focus group discussions conducted with community health midwives and volunteers in September-October 2018.
Results: Humanitarian response efforts focus on maintaining basic services at functioning facilities, and deploying mobile clinics, outreach teams and community health volunteer networks to address urgent needs where access is possible. Attention to specific aspects of RMNCAH+N varies slightly by location, with differences driven by priorities of government authorities, levels of violence, humanitarian access and availability of qualified human resources. Health services for women and children are generally considered to be a priority; however, cholera control and treatment of acute malnutrition are given precedence over other services along the continuum of care. Although health workers display notable resilience working in difficult conditions, challenges resulting from insecurity, limited functionality of health facilities, and challenges in importation and distribution of supplies limit the availability and quality of services.
Conclusions: Challenges to providing quality RMNCAH+N services in Yemen are formidable, given the nature and scale of humanitarian needs, lack of access due to insecurity, politicization of aid, weak health system capacity, costs of care seeking, and an ongoing cholera epidemic. Greater attention to availability, quality and coordination of RMNCAH services, coupled with investments in health workforce development and supply management are needed to maintain access to life-saving services and mitigate longer term impacts on maternal and child health and development. Lessons learned from Yemen on how to address ongoing primary health care needs during massive epidemics in conflict settings, particularly for women and children, will be important to support other countries faced with similar crises in the future.
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http://dx.doi.org/10.1186/s13031-020-00269-x | DOI Listing |
J Reprod Immunol
January 2025
Chengdu Fifth People's Hospital, (School of Medical and Life Sciences/Affiliated Fifth People's Hospital, Chengdu University of Traditional Chinese Medicine), Chengdu, China. Electronic address:
The endometrial and vaginal microbiota have co-evolved with the reproductive tract and play a key role in both health and disease. However, the difference between endometrial and vaginal microbiota, as well as their association with reproductive outcomes in women undergoing frozen embryo transfer, remains unclear. 120 women who underwent in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) and whole embryo freezing were enrolled.
View Article and Find Full Text PDFComput Biol Med
January 2025
Laboratorio de Fisicoquímica Analítica, Unidad de Investigación Multidisciplinaria, Facultad de Estudios Superiores Cuautitlán, Universidad Nacional Autónoma de México, Cuautitlán Izcalli, Estado de México, 54714, Mexico. Electronic address:
Bacterial resistance is a global public health problem because of the ineffectiveness of conventional antibiotics against super pathogens. To counter this situation, the search for or design of new molecules is essential to inhibit the key proteins involved in several stages of bacterial infection. One of these key proteins is DNA gyrase, which is responsible for packaging and unfolding of DNA chains during replication.
View Article and Find Full Text PDFComput Biol Med
January 2025
Emerging Technologies Research Lab (ETRL), College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia. Electronic address:
- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmentation, yet misdiagnoses yield effective medical responses, impacting patient survival rates. Recent technological advancements have popularized deep learning-based medical image analysis, leveraging transfer learning to reuse pre-trained models for various applications.
View Article and Find Full Text PDFComput Biol Med
January 2025
Neurological Sciences and Cerebrovascular Research Laboratory, Department of Neurology and Stroke Centre, Neurology and Cerebrovascular Disease Group, Neuroscience Area La Paz Institute for Health Research (idiPAZ), (La Paz University Hospital- Universidad Autónoma de Madrid), Spain. Electronic address:
The quantitative evaluation of motor function in experimental stroke models is essential for the preclinical assessment of new therapeutic strategies that can be transferred to clinical research; however, conventional assessment tests are hampered by the evaluator's subjectivity. We present an artificial intelligence-based system for the automatic, accurate, and objective analysis of target parameters evaluated by the ledged beam walking test, which offers higher sensitivity than the current methodology based on manual and visual counting. This system employs a residual deep network model, trained with DeepLabCut (DLC) to extract target paretic hindlimb coordinates, which are categorized to provide a ratio measurement of the animal's neurological deficit.
View Article and Find Full Text PDFMult Scler Relat Disord
January 2025
Multiple Sclerosis Center of Excellence West, Veterans Affairs, USA; Rehabilitation Care Service, VA Puget Sound Health Care System, 1660 S Columbian Way, Seattle, Washington, 98108, USA; Department of Rehabilitation Medicine, University of Washington, 325 9th Avenue, Seattle, Washington, 98104, USA. Electronic address:
Background/objective: Identifying research priorities of Veterans, MS researchers, and key stakeholders is critical to advance high-quality, evidence-based, and Veteran-specific MS care.
Methods: We used a modified Delphi approach to identify research priorities for Veterans with MS. Electronic surveys were distributed to Veterans with MS (n = 50,975), MS researchers (n = 191), VA healthcare providers (1,337), and funding agency representatives (n = 6) asking about their 2-3 most important research questions that would benefit Veterans with MS for researchers to answer in the next 5-10 years.
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