Alessandro Zulli

TL;DR: The data show the utility of viral RNA monitoring in municipal wastewater for SARS-CoV-2 infection surveillance at a population-wide level and in communities facing a delay between specimen collection and the reporting of test results, immediate wastewater results can provide considerable advance notice of infection dynamics.

TL;DR: SARS-CoV-2 RNA concentrations were a seven-day leading indicator ahead of compiled COVID-19 testing data and led local hospital admissions data by three days, and decisions to implement or relax public health measures and restrictions require timely information on outbreak dynamics.

TL;DR: A SARS-CoV-2 epidemic model is presented to serve as a basis for estimating the incidence of infection, and mathematically how modeled transmission dynamics translate into infection indicators by incorporating probability distributions for indicator-specific time lags from infection are shown.

TL;DR: In this article, a microbial community capable of biodegrading mixtures of chlorinated ethenes and 1,4-dioxane under varying redox conditions was developed, composed of the anaerobic chlorinated ethene-degrading consortium KB-1 and the aerobic bacterial strain Pseudonocardia dioxanivorans CB1190.

TL;DR: In this paper, the authors show that by sequencing SARS-CoV-2 RNA in wastewater and applying computational techniques initially used for RNA-Seq quantification, they can estimate the abundance of variants in wastewater samples.