scholarly journals Anti–Ebola Virus Antibody Levels in Convalescent Plasma and Viral Load After Plasma Infusion in Patients With Ebola Virus Disease

2018 ◽  
Vol 218 (4) ◽  
pp. 555-562 ◽  
Author(s):  
Jerry F Brown ◽  
John M Dye ◽  
Sam Tozay ◽  
Gertrude Jeh-Mulbah ◽  
David A Wohl ◽  
...  
Keyword(s):  
Viral Load ◽  
Ebola Virus ◽  
Neutralization Test ◽  
Virus Disease ◽  
Ebola Virus Disease ◽  
Virus Antibody ◽  
Plaque Reduction Neutralization Test ◽  
Plasma Infusion ◽  
Antibody Levels

Enzyme-linked immunosorbent and microneutralization assays of 180 Ebola convalescent plasma specimens were highly concordant and predictive for detection of antibody by 50% plaque reduction neutralization test. Viral load decreased following infusion of antibody-containing plasma in 2 Ebola virus disease patients.

scholarly journals Age and Ebola viral load correlate with mortality and survival time in 288 Ebola virus disease patients

2016 ◽  
Vol 42 ◽  
pp. 34-39 ◽  
Author(s):  
Jin Li ◽  
Hui-Juan Duan ◽  
Hao-Yang Chen ◽  
Ying-Jie Ji ◽  
Xin Zhang ◽  
...  
Keyword(s):  
Viral Load ◽  
Survival Time ◽  
Ebola Virus ◽  
Virus Disease ◽  
Ebola Virus Disease

scholarly journals Variation around the dominant viral genome sequence contributes to viral load and outcome in patients with Ebola virus disease

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaofeng Dong ◽  
Jordana Munoz-Basagoiti ◽  
Natasha Y. Rickett ◽  
Georgios Pollakis ◽  
William A. Paxton ◽  
...  
Keyword(s):  
Viral Load ◽  
Genome Sequence ◽  
Protein Function ◽  
Viral Protein ◽  
Viral Genome ◽  
Rna Synthesis ◽  
Ebola Virus ◽  
Virus Disease ◽  
Viral Rna ◽  
Ebola Virus Disease

Abstract Background Viral load is a major contributor to outcome in patients with Ebola virus disease (EVD), with high values leading to a fatal outcome. Evidence from the 2013–2016 Ebola virus (EBOV) outbreak indicated that different genotypes of the virus can have different phenotypes in patients. Additionally, due to the error-prone nature of viral RNA synthesis in an individual patient, the EBOV genome exists around a dominant viral genome sequence. The minor variants within a patient may contribute to the overall phenotype in terms of viral protein function. To investigate the effects of these minor variants, blood samples from patients with acute EVD were deeply sequenced. Results We examine the minor variant frequency between patients with acute EVD who survived infection with those who died. Non-synonymous differences in viral proteins were identified that have implications for viral protein function. The greatest frequency of substitution was identified at three codon sites in the L gene—which encodes the viral RNA-dependent RNA polymerase (RdRp). Recapitulating this in an assay for virus replication, these substitutions result in aberrant viral RNA synthesis and correlate with patient outcome. Conclusions Together, these findings support the notion that in patients who survived EVD, in some cases, the genetic variability of the virus resulted in deleterious mutations that affected viral protein function, leading to reduced viral load. Such mutations may also lead to persistent strains of the virus and be associated with recrudescent infections.

JOINT ESTIMATION OF THE TRANSMISSIBILITY AND SEVERITY OF EBOLA VIRUS DISEASE IN REAL TIME

2017 ◽  
Vol 25 (04) ◽  
pp. 587-603 ◽  
Author(s):  
YUSUKE ASAI ◽  
HIROSHI NISHIURA
Keyword(s):  
Real Time ◽  
Ebola Virus ◽  
Virus Disease ◽  
Critical Role ◽  
Estimation Method ◽  
Case Fatality ◽  
Ascertainment Bias ◽  
Joint Estimation ◽  
Ebola Virus Disease ◽  
Strong Impact

The effective reproduction number [Formula: see text], the average number of secondary cases that are generated by a single primary case at calendar time [Formula: see text], plays a critical role in interpreting the temporal transmission dynamics of an infectious disease epidemic, while the case fatality risk (CFR) is an indispensable measure of the severity of disease. In many instances, [Formula: see text] is estimated using the reported number of cases (i.e., the incidence data), but such report often does not arrive on time, and moreover, the rate of diagnosis could change as a function of time, especially if we handle diseases that involve substantial number of asymptomatic and mild infections and large outbreaks that go beyond the local capacity of reporting. In addition, CFR is well known to be prone to ascertainment bias, often erroneously overestimated. In this paper, we propose a joint estimation method of [Formula: see text] and CFR of Ebola virus disease (EVD), analyzing the early epidemic data of EVD from March to October 2014 and addressing the ascertainment bias in real time. To assess the reliability of the proposed method, coverage probabilities were computed. When ascertainment effort plays a role in interpreting the epidemiological dynamics, it is useful to analyze not only reported (confirmed or suspected) cases, but also the temporal distribution of deceased individuals to avoid any strong impact of time dependent changes in diagnosis and reporting.

Sign in / Sign up

Export Citation Format

Share Document