Natasha Y. Rickett

TL;DR: This paper presents sequence data and analysis of 142 EBOV samples collected during the period March to October 2015 and shows that real-time genomic surveillance is possible in resource-limited settings and can be established rapidly to monitor outbreaks.

TL;DR: Deep sequencing of 179 patient samples processed by the European Mobile Laboratory, the first diagnostics unit to be deployed to the epicentre of the outbreak in Guinea, reveals an epidemiological and evolutionary history of the epidemic from March 2014 to January 2015, providing an unprecedented window into the evolution of an ongoing viral haemorrhagic fever outbreak.

TL;DR: This paper used transcriptome data for peripheral blood taken from infected and convalescent recovering patients to identify early stage host factors that are associated with acute illness and those that differentiate patient survival from fatality.

TL;DR: Using the biostatistical model, it is predicted that 50% and 90% of male survivors clear Ebola virus RNA from seminal fluid at 115 days (90% prediction interval 72-160) and 294 days (212-399) after disease onset, respectively, and the number of men positive for Ebola virusRNA in affected countries would decrease from about 50 in January 2016, to fewer than 1 person by July, 2016.

TL;DR: A trend toward improved survival in favipiravir-treated patients is revealed, however, the effect of treatment was not statistically significant, except for its influence on survival time.