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ZENODO
Preprint . 2020
License: CC BY
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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Preprint . 2020
License: CC BY
Data sources: Datacite
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PAWS: Towards a globally integrated outbreak surveillance system for public health

Authors: von Csefalvay, Chris; Foldi, Tamas;

PAWS: Towards a globally integrated outbreak surveillance system for public health

Abstract

The novel emergent coronavirus now designated SARS-CoV-2 emerged in Wuhan, Hubei Province, China, in late 2019. Since then, this rapidly spreading pathogen has created one of the most significant pandemics in recent history. Globalisation and international trade have created a unique potential for fast-moving pathogens to spread globally overnight. In this paper, we describe a globally integrated system of data-driven viral surveillance by analogy to the CTBTO’s technical infrastructure. Established as a result of the Comprehensive Nuclear Test Ban Treaty signed in 1996, it is backed by a robust, globally distributed monitoring infrastructure that may serve as an inspiration for developing a similar monitoring network for public health. We propose to build on the experiences of the CTBTO’s technical infrastructure to conceptualise a Pandemic Advance Warning System, an early warning infrastructure for emerging pathogenic threats.

Keywords

serosurveillance, threat reduction, epidemiology, biosecurity

31 references, page 1 of 4

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2 Sarah E Henrickson. Learning from our immunological history: What can sars-cov teach us about sars-cov-2? Sci Immunol, 5(46), Apr 2020.

3 Lisa E Gralinski and Vineet D Menachery. Return of the coronavirus: 2019-ncov. Viruses, 12(2), 01 2020.

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10 Duygu Balcan, Hao Hu, Bruno Goncalves, Paolo Bajardi, Chiara Poletto, Jose J Ramasco, Daniela Paolotti, Nicola Perra, Michele Tizzoni, Wouter Van den Broeck, et al. Seasonal transmission potential and activity peaks of the new influenza a (h1n1): a monte carlo likelihood analysis based on human mobility. BMC medicine, 7(1):45, 2009.

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12 Rossella Porcheddu, Caterina Serra, David Kelvin, Nikki Kelvin, and Salvatore Rubino. Similarity in case fatality rates (cfr) of covid-19/sars-cov-2 in italy and china. The Journal of Infection in Developing Countries, 14(02):125- 128, 2020. [OpenAIRE]

13 Rachel M Burke. Active monitoring of persons exposed to patients with confirmed covid-19-united states, januaryfebruary 2020. MMWR. Morbidity and Mortality Weekly Report, 69, 2020.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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