Objectives The four seasonal coronaviruses 229E, NL63, OC43, and HKU1 are frequent causes of respiratory infections and show annual and seasonal variation. Increased understanding about these patterns could be informative about the epidemiology of...
SARS-CoV-2 has been slowly changing in small ways, without getting more dangerous.
Richard Neher"Viruses mutate constantly; SARS-CoV-2 is no different. And it’s essential that we continue to monitor when and how, and with what effects, it is evolving."
@edwardcholmes explains in the @nytimes why mutations of #SARSCoV2 are no reason for panic.
The development of vaccines against SARS-CoV-2 would be greatly facilitated by the identification of immunological correlates of protection in humans. However, to date, studies on protective immunity have only been performed in animal models and...
We show the distribution of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) genetic clades over time and between countries and outline potential genomic surveillance objectives. We applied three genomic nomenclature systems to all...
The authors explore how seasonal variation in transmissibility could modulate a SARS-CoV-2 pandemic. The likely aggregated effect of seasonal variation, infection control measures, and transmission rate variation is a prolonged pandemic wave with...
The seasonal cycle of respiratory viral diseases has been widely recognized for thousands of years, as annual epidemics of the common cold and influenza disease hit the human population like clockwork in the winter season in temperate regions....
Richard NeherBoris Shraiman at @KITP_UCSB is organizing a bacteriophage forum (weekly online seminar series) over the next few weeks. First session tomorrow at noon pacific, 15h east coast, 21h CEST
As the initial phase of the COVID-19 pandemic passes its peak in many countries, serological
studies are becoming increasingly important in guiding public health responses. Antibody
testing is crucial for monitoring the evolution of the pandemic,...
SeroTracker's serology testing dashboard monitors and visualizes SARS-CoV-2 seroprevalence studies.
Richard NeherI am concerned that the #SARSCoV2 seroprevalence tracker at serotracker.com will mislead many.
55% in Italy or 14% in Germany are clearly wrong. These are estimates from hotspots generalized to entire countries. This caveat is only disclosed in a tiny pop-up. pic.twitter.com/tdtKf2EyZp
Als das neuartige Coronavirus im Frühjahr nach Europa kam, traf es Italien besonders hart. Jetzt haben Forscher untersucht, wie hoch die Dunkelziffer der Infizierten in dem Land ist - mit einem bemerkenswerten Ergebnis.
Richard NeherNonetheless, @tagesschau reports this as "way more infections than previously known". Nobody ever assumed Italy (or any country) caught all infections. Very poor reporting.