Prospective Evaluation of the Vela Diagnostics Next-Generation Sequencing Platform for HIV-1 Genotypic Resistance Testing
This study investigates the semi-automated, next-generation sequencing (NGS)-based Vela Diagnostics Sentosa SQ HIV-1 Genotyping Assay in a prospective cohort of HIV-1 infected patients. Two-hundred and sixty-nine samples were successfully sequenced by both NGS and Sanger sequencing. Among the 261 protease/reverse transcriptase (PR/RT) sequences, a mean of 0.37 drug resistance mutations were identified by both Sanger and NGS, 0.08 by NGS alone, and 0.03 by Sanger alone.
Conclusions: This study showed that EV-positivity rate for our SARI series was 9%. The molecular detection and characterization of EVs allowed for the rapid detection of an EV-D68 outbreak and revealed the presence of emerging EV types that may pose a public health threat. The lack of routine screening and EV characterization in respiratory tract infections hampers the assessment of their epidemiologic and molecular features.
ConclusionsOur data reflect high rates of postvalve surgery morbidity and mortality in people with SUD-IE at a tertiary care center. The midterm postoperative period is a vulnerable period for people with SUD-IE worthy of further investigation.
We present a novel kinetic Monte Carlo technique to study the susceptible-infected-removed model in order to simulate epidemic outbreaks on two quasiperiodic lattices, namely, Penrose and Ammann-Beenker. Our analysis around criticality is performed by investigating the order parameter, which is defined as the probability of growing a spanning cluster formed by removed sites, evolving from an initial system configuration with a single random chosen infective site. This system is studied by means of the cluster size distribution, obtained by the Newman-Ziff algorithm. Additionally, we obtained the mean cluster size, and a cu...
Publication date: Available online 17 October 2019Source: EpidemicsAuthor(s): Yayehirad A. Melsew, Adeshina I. Adekunle, Allen C. Cheng, Emma S. McBryde, Romain Ragonnet, James M. TrauerAbstractTB mathematical models employ various assumptions and approaches in dealing with the heterogeneous infectiousness of persons with active TB. We reviewed existing approaches and considered the relationship between them and existing epidemiological evidence.We searched the following electronic bibliographic databases from inception to 9 October 2018: MEDLINE, EMBASE, Biosis, Global Health and Scopus. Two investigators extracted data u...
Publication date: Available online 17 October 2019Source: EpidemicsAuthor(s): Megan Auzenbergs, Carla Correia-Gomes, Theo Economou, Rachel Lowe, Kathleen M O’ReillyAbstractBayesian inference using Gibbs sampling (BUGS) is a set of statistical software that uses Markov chain Monte Carlo (MCMC) methods to estimate almost any specified model. Originally developed in the late 1980s, the software is an excellent introduction to applied Bayesian statistics without the need to write a MCMC sampler. The software is typically used for regression-based analyses, but any models that can be specified using graphical nodes are po...
Representatives of states and localities hard hit by the opioid epidemic are also to be present. The high-stakes move is an effort to propel a resolution of thousands of lawsuits nationwide.
Executives from several large healthcare companies and state attorneys general were progressing toward what is expected to be a multibillion-dollar deal to resolve the sprawling litigation over the U.S. opioid epidemic, a plaintiffs' lawyer said on Friday.
From the start of the sprawling U.S. litigation seeking to hold drugmakers and distributors liable for the country's opioid epidemic, Judge Dan Polster has made one thing clear: he never wanted a trial.
The opioid epidemic in the U.S. has destroyed thousands of lives and torn families apart. According to the Centers for Disease Control and Prevention, an average of 130 people in the U.S. die each day from an opioid overdose. From 1999 to 2017, more than 700,000 died as a result of drug overdoses. In 2017,... [Read More]
A recent study in this journal compared codon usage among NA subtypes (N1, N2, N6, and N8) of H5Nx highly pathogenic avian influenza A viruses (HPAIVs) and suggested that codon usage in N1 subtype is better adapted to its host than the epidemic NA subtypes (N6 and N8), which had fewer number of human cases compared to the N1 subtype.1 To date, there are 18 known HA subtypes (H1-H18) and 11 known NA subtypes (N1-N11)2. However, only N1 and N2 subtypes have been reported to cause pandemics (H1N1 for the 1918 and 2009 pandemics; H2N2 for the 1957 pandemic; and H3N2 for the 1968 pandemic) or seasonal outbreaks in humans3.