Introduction: For three decades, the Democratic Republic of the Congo has faced recurrent wars. These have caused a significant burden of morbidity and mortality. In this context, the Katana Health Zone experienced several events that could have hampered the functioning of its health centers, which nevertheless continued to operate.Purpose of research: This study aims to identify specific determinants that have enabled health centers to adapt to a changing context. This is a cross-sectional study using mixed data, carried out in the Mugeri, Ihimbi and Ciranga health centers during the period 1990-2017 for qualitative data and from 2013 to 2017 for the quantitative data. It is based on observation, documentary review and individual interviews with 55 informants.
Results: The main events identified are the recurring rebellions, the massive arrival of refugees, the arrival of humanitarian aid, the earthquakes and the instability of human resources. The supply of services and care has continued thanks to the adaptation mechanisms developed, including the development and application of new directives and standards and dynamic community participation.
Conclusions: On the one hand, the study demonstrates the value of adapting the procedures for managing financial aid and the operation of a health center in the event of a change in context; the effectiveness of a more structured and regular collaboration between different actors and the appropriation of the activities of the health center by the community. On the other hand, the study identifies the limits of selective and ad hoc interventions, which do not favor the effective development of health centers.
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http://dx.doi.org/10.3917/spub.204.0359 | DOI Listing |
Seizure
January 2025
Division of Neurology, Saitama Children's Medical Center, Saitama, Japan.
Seizure
January 2025
Neurology department, Royal Brisbane and Women's Hospital, Brisbane, Australia.
Objectives: There have been conflicting reports about the frequency of neural autoantibodies in epilepsy cohorts, which is confounded by the lack of clear distinction of epilepsy from acute symptomatic seizures due to encephalitis. The aim of this study was to determine the frequency of neural autoantibodies in a well characterised population of refractory focal epilepsy of known and unknown cause.
Methods: Cases were recruited from epilepsy outpatient clinics at the Princess Alexandra, Mater, Royal Brisbane and Women's and Cairns Base Hospitals from 2021 - 2023.
Comput Biol Med
January 2025
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32610, United States; Department of Medicine, University of Florida, Gainesville, FL, 32610, United States; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, 32610, United States; Intelligent Clinical Care Center, University of Florida, Gainesville, FL, 32610, United States. Electronic address:
Retinal image registration is essential for monitoring eye diseases and planning treatments, yet it remains challenging due to large deformations, minimal overlap, and varying image quality. To address these challenges, we propose RetinaRegNet, a multi-stage image registration model with zero-shot generalizability across multiple retinal imaging modalities. RetinaRegNet begins by extracting image features using a pretrained latent diffusion model.
View Article and Find Full Text PDFMol Pharm
January 2025
Ningbo No.2 Hospital, Ningbo, Zhejiang 315010, P. R. China.
At the end of 2019, SARS-CoV-2 emerged and rapidly spread, having a profound negative impact on human health and socioeconomic conditions. In response to this unprecedented global health crisis, significant advancements were made in the mRNA vaccine technology. In this study, we have compared the difference between two SARS-CoV-2 receptor-binding domain (RBD) mRNA-Lipid nanoparticle (LNP) vaccines prepared from two different ionizable cationic lipids: ALC-0315 and MC3.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Hospital Administration, Ramaiah Memorial Hospital, Bengaluru, Karnataka, India.
Background: Monitoring vital signs in hospitalized patients is crucial for evaluating their clinical condition. While early warning scores like the modified early warning score (MEWS) are typically calculated 3 to 4 times daily through spot checks, they might not promptly identify early deterioration. Leveraging technologies that provide continuous monitoring of vital signs, combined with an early warning system, has the potential to identify clinical deterioration sooner.
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