Covid and all that...
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send
an email message to
-------- Forwarded Message --------
Learn about the latest and greatest related to complex systems
research. More at
Reducing transmission of SARS-CoV-2
Epidemics Dynamics & Control on Networks. Call for papers
Networks are ubiquitous in natural, technological and social
systems. They offer a fertile framework for understanding and
controlling the diffusion of ideas, rumors, and infectious
diseases of plants, animals, and humans. Despite recent advances,
many challenging scientific questions remain about the correct
tools and their practical role in epidemics dynamics and effective
strategies supporting public health decision making. The goal of
this special issue is to offer a platform to the interdisciplinary
community of scientists working on the diffusion process on
networks and its plethora of applications. We hope for a broad
range of topics to be covered, across theory, methodology, and
application to empirical data with a special emphasis on epidemic
Expression of interest and abstract submission: July 10, 2020
Abstract feedback notification: July 13, 2020
Paper submission deadline: September 21, 2020
Target publication: November 01, 2020
Starlings Fly in Flocks So Dense They Look Like Sculptures
Photographer Xavi Bou condenses several seconds of movement into a
single frame, showing the birds' flight—and fight.
Surveillance testing of SARS-CoV-2
Daniel B Larremore, Bryan Wilder, Evan Lester, Soraya Shehata,
James M Burke, James A Hay, Milind Tambe, Michael J Mina, Roy
The COVID-19 pandemic has created a public health crisis. Because
SARS-CoV-2 can spread from individuals with pre-symptomatic,
symptomatic, and asymptomatic infections, the re-opening of
societies and the control of virus spread will be facilitated by
robust surveillance, for which virus testing will often be
central. After infection, individuals undergo a period of
incubation during which viral titers are usually too low to
detect, followed by an exponential growth of virus, leading to a
peak viral load and infectiousness, and ending with declining
viral levels and clearance. Given the pattern of viral load
kinetics, we model surveillance effectiveness considering test
sensitivities, frequency, and sample-to-answer reporting time.
These results demonstrate that effective surveillance, including
time to first detection and outbreak control, depends largely on
frequency of testing and the speed of reporting, and is only
marginally improved by high test sensitivity. We therefore
surveillance should prioritize accessibility, frequency, and
sample-to-answer time; analytical limits of detection should be
Sponsored by the Complex Systems Society.
Founding Editor: Gottfried Mayer.
Editor-in-Chief: Carlos Gershenson.
You can contribute to Complexity Digest selecting one of our
) and using the "Suggest" button.