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http://dx.doi.org/10.1126/science.346.6208.433-a | DOI Listing |
BMJ 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.
Autophagy
January 2025
Department of Microbiology & Immunology, Dalhousie University, Halifax, Nova Scotia, Canada.
J Virol
October 2024
Center for Translational Antiviral Research, Institute for Biomedical Sciences, Georgia State University, Atlanta, Georgia, USA.
Unlabelled: Nipah virus (NiV) is a highly pathogenic paramyxovirus causing frequently lethal encephalitis in humans. The NiV genome is encapsidated by the nucleocapsid (N) protein. RNA synthesis is mediated by the viral RNA-dependent RNA polymerase (RdRP), consisting of the polymerase (L) protein complexed with the homo-tetrameric phosphoprotein (P).
View Article and Find Full Text PDFMath Med Biol
September 2024
ANION Environmental Ltd, 26 Lykoudi Str., Athens, Ano Patissia, 11141, Greece.
Epidemic models of susceptibles, exposed, infected, recovered and deceased (SΕIRD) presume homogeneity, constant rates and fixed, bilinear structure. They produce short-range, single-peak responses, hardly attained under restrictive measures. Tuned via uncertain I,R,D data, they cannot faithfully represent long-range evolution.
View Article and Find Full Text PDFFront Public Health
July 2024
Associated Laboratory TERRA, Institute of Geography and Spatial Planning, University of Lisbon, Lisbon, Portugal.
Nowadays, epidemiological modeling is applied to a wide range of diseases, communicable and non-communicable, namely AIDS, Ebola, influenza, Dengue, Malaria, Zika. More recently, in the context of the last pandemic declared by the World Health Organization (WHO), several studies applied these models to SARS-CoV-2. Despite the increasing number of researches using spatial analysis, some constraints persist that prevent more complex modeling such as capturing local epidemiological dynamics or capturing the real patterns and dynamics.
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