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http://dx.doi.org/10.1126/science.346.6208.433-aDOI Listing

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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.

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Reticulophagy and viral infection.

Autophagy

January 2025

Department of Microbiology & Immunology, Dalhousie University, Halifax, Nova Scotia, Canada.

Article Synopsis
  • All viruses rely on the host's cellular machinery to produce their proteins, specifically utilizing the endoplasmic reticulum (ER) in eukaryotic cells for this process.
  • Viruses can manipulate the ER to create structures for viral production while avoiding detection by the host's immune system.
  • Reticulophagy, a process that degrades ER components, acts as an antiviral defense mechanism (termed "xERophagy"), but viruses have also evolved ways to counteract this defense to enhance their replication.
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A three-way interface of the Nipah virus phosphoprotein X-domain coordinates polymerase movement along the viral genome.

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).

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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.

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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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