-------- Forwarded Message --------

Subject:	Latest Complexity Digest Posts
Date:	Mon, 29 Jun 2020 11:04:33 +0000
From:	Complexity Digest <[log in to unmask]>
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To:	Barry <[log in to unmask]>

Learn about the latest and greatest related to complex systems research. More at https://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=8dbb0d7cd0&e=55e25a0e3e

Reducing transmission of SARS-CoV-2

https://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=1a2efcd36a&e=55e25a0e3e

Epidemics Dynamics & Control on Networks. Call for papers

https://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=d0651b291b&e=55e25a0e3e

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 spreading.

Important dates
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

Source: appliednetsci.springeropen.com (https://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=116e6bee59&e=55e25a0e3e)

Starlings Fly in Flocks So Dense They Look Like Sculptures

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Photographer Xavi Bou condenses several seconds of movement into a single frame, showing the birds' flight—and fight.

Source: www.wired.com (https://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=6e90e8322c&e=55e25a0e3e)

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 Parker

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 conclude that
surveillance should prioritize accessibility, frequency, and sample-to-answer time; analytical limits of detection should be secondary.

Source: www.medrxiv.org (https://unam.us4.list-manage.com/track/click?u=0eb0ac9b4e8565f2967a8304b&id=5bdb1acb58&e=55e25a0e3e)

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Sponsored by the Complex Systems Society.
Founding Editor: Gottfried Mayer.
Editor-in-Chief: Carlos Gershenson.

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