scholarly journals Marburg virus disease outbreak in Kween District Uganda, 2017: Epidemiological and laboratory findings

2019 ◽  
Vol 13 (3) ◽  
pp. e0007257 ◽  
Author(s):  
Luke Nyakarahuka ◽  
Trevor R. Shoemaker ◽  
Stephen Balinandi ◽  
Godfrey Chemos ◽  
Benon Kwesiga ◽  
...  
2022 ◽  
Vol 13 ◽  
pp. 100920
Author(s):  
Osaretin Christabel Okonji ◽  
Emeka Francis Okonji ◽  
Parvathy Mohanan ◽  
Maryam Salma Babar ◽  
Amna Saleem ◽  
...  

2016 ◽  
Vol 65 (12) ◽  
Author(s):  
Naomi K. Tepper ◽  
Howard I. Goldberg ◽  
Manuel I. Vargas Bernal ◽  
Brenda Rivera ◽  
Meghan T. Frey ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Robert W. Cross ◽  
Zachary A. Bornholdt ◽  
Abhishek N. Prasad ◽  
Viktoriya Borisevich ◽  
Krystle N. Agans ◽  
...  

AbstractMonoclonal antibodies (mAbs) and remdesivir, a small-molecule antiviral, are promising monotherapies for many viruses, including members of the genera Marburgvirus and Ebolavirus (family Filoviridae), and more recently, SARS-CoV-2. One of the major challenges of acute viral infections is the treatment of advanced disease. Thus, extending the window of therapeutic intervention is critical. Here, we explore the benefit of combination therapy with a mAb and remdesivir in a non-human primate model of Marburg virus (MARV) disease. While rhesus monkeys are protected against lethal infection when treatment with either a human mAb (MR186-YTE; 100%), or remdesivir (80%), is initiated 5 days post-inoculation (dpi) with MARV, no animals survive when either treatment is initiated alone beginning 6 dpi. However, by combining MR186-YTE with remdesivir beginning 6 dpi, significant protection (80%) is achieved, thereby extending the therapeutic window. These results suggest value in exploring combination therapy in patients presenting with advanced filovirus disease.


2018 ◽  
Vol 4 (1) ◽  
pp. 79-82 ◽  
Author(s):  
Andreas Rausch ◽  
Thomas Schanze

AbstractThe development of new medicines against virus infections like the Marburg virus disease requires an accurate knowledge of the respective pathogens. Conventionally, this process is very time expensive. In cooperation with the Virology of the Philipps-University in Marburg an automatic tracking algorithm for subviral particles in fluorescence image sequences was developed and programmed. To expand the benefit for the pharmaceutical researchers, also the trackevaluations need to be widely automated. In this work, a new parameterizing-method facing the fractal dimensions of spline interpolated subviral particle tracks is presented and tested with simulated and real data. The results reveal a good potential to classify tracks and, thus, types of subviral particles in infected cells.


Author(s):  
Timothy K Cooper ◽  
Jennifer Sword ◽  
Joshua C Johnson ◽  
Amanda Bonilla ◽  
Randy Hart ◽  
...  

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