The impact of the 2014-2016 Ebola epidemic in West Africa on human immunodeficiency virus (HIV) treatment in Sierra Leone is unknown, especially for groups with higher HIV prevalence such as the military. Using a retrospective study design, clinical outcomes were evaluated prior to and during the epidemic for 264 HIV-infected soldiers of the Republic of Sierra Leone Armed Forces (RSLAF) and their dependents receiving HIV treatment at the primary RSLAF HIV clinic. Medical records were abstracted for baseline clinical data and clinic attendance. Estimated risk of lost to follow-up (LTFU), default, and number of days without antiretroviral therapy (DWA) were calculated using repeated measures general estimating equations adjusted for age and gender. Due to missing data, 262 patients were included in the final analyses. There was higher risk of LTFU throughout the Ebola epidemic in Sierra Leone compared to the pre-Ebola baseline, with the largest increase in LTFU risk occurring at the peak of the epidemic (relative risk: 3.22, 95% CI: 2.22-4.67). There was an increased risk of default and DWA during the Ebola epidemic for soldiers but not for their dependents. The risk of LTFU, default, and DWA stabilized once the epidemic was largely resolved but remained elevated compared to the pre-Ebola baseline. Our findings demonstrate the negative and potentially lasting impact of the Ebola epidemic on HIV care in Sierra Leone and highlight the need to develop strategies to minimize disruptions in HIV care with future disease outbreaks.
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http://dx.doi.org/10.1177/0956462418797843 | DOI Listing |
PLOS Glob Public Health
January 2025
Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC, United States of America.
During the Covid-19 pandemic, the World Health Organization (WHO) was an important public source of information - not only about the pandemic, but also thousands of other potential health emergencies. Here, we examine the 242 reports published in the WHO Disease Outbreak News (DON) during the first four years of the Covid-19 pandemic (2020 to 2023), and document the diseases and regions that were reported. We find that multinational epidemics of diseases like Ebola virus and MERS-CoV continue to dominate the DON.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Midwifery, College of Medicine and Health Sciences, Mizan-Tepi University, Mizan Aman, Ethiopia.
Objective: To synthesise the role of digital technologies in epidemic control and prevention, focussing on Ebola and COVID-19.
Design: A scoping review.
Data Sources: A systematic search was done on PubMed, HINARI, Web of Science, Google Scholar and a direct Google search until 10 September 2024.
BMC Public Health
January 2025
Shandong Second Medical University, Weifang, China.
Background: In recent years, public health emergencies, such as the COVID-19 pandemic and Ebola outbreaks, have occurred with increasing frequency worldwide, posing significant threats to global public health security. Policies serve as the foundation and institutional framework for effective emergency responses. Consequently, evaluating and optimizing the formulation and implementation of Public Health Emergency Response Policies (PHERPs) to enhance emergency response capacities has become an urgent and important research priority.
View Article and Find Full Text PDFJ Immunol Methods
January 2025
Institute of Biomedical Systems and Biotechnology, Peter the Great Saint Petersburg Polytechnic University, 29 Ulitsa Polytechnicheskaya, St. Petersburg 194064, Russia; Smorodintsev Research Institute of Influenza, Russian Ministry of Health, 15/17 Ulitsa Prof. Popova, St. Petersburg 197376, Russia; Biological Faculty, Saint-Petersburg State University, 7-9 Universitetskaya Embankment, St. Petersburg 199034, Russia.
Background: Rapid vaccine platforms development is crucial for responding to epidemics and pandemics of emerging infectious diseases, such as Ebola. This study explores the potential of peptide vaccines that self-organize into amyloid-like fibrils, aiming to enhance immunogenicity while considering safety and cross-reactivity.
Methods: We synthesized two peptides, G33 and G31, corresponding to a segment of the Ebola virus GP2 protein, with G33 known to form amyloid-like fibrils.
Comput Biol Chem
January 2025
Department of Mathematics, College of Science, Qassim University, Buraydah 51452, Saudi Arabia.
This study develops an Artificial Neural Network (ANN)-based framework to model the transmission dynamics and long-term disability outcomes of Ebola Virus Disease (EVD). Building on existing deterministic SEIR models, we extend the framework by introducing a disability compartment, capturing the progression of Ebola survivors to chronic health complications, such as post-Ebola syndrome. The proposed model stratifies the population into various epidemiological states, incorporating delays to better reflect the natural progression and intervention strategies associated with EVD.
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