S
Stephen J. Beckett
Researcher at Georgia Institute of Technology
Publications - 33
Citations - 1552
Stephen J. Beckett is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 11, co-authored 26 publications receiving 1075 citations. Previous affiliations of Stephen J. Beckett include University of Exeter.
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Journal ArticleDOI
Uptake and retention of microplastics by the shore crab Carcinus maenas.
Andrew J. R. Watts,Ceri Lewis,Rhys M. Goodhead,Stephen J. Beckett,Julian Moger,Charles R. Tyler,Tamara S. Galloway +6 more
TL;DR: Ventilation is identified as a route of uptake of microplastics into a common marine nonfilter feeding species through inspiration across the gills and the gut.
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Improved community detection in weighted bipartite networks
TL;DR: Two new algorithms, LPAwb+ and DIRTLPAwb+, are introduced for maximizing weighted modularity in bipartite networks and robustly identify partitions with high modularity scores.
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Modeling shield immunity to reduce COVID-19 epidemic spread.
Joshua S. Weitz,Stephen J. Beckett,Ashley R. Coenen,David Demory,Marian Dominguez-Mirazo,Jonathan Dushoff,Chung Yin Leung,Guanlin Li,Andreea Măgălie,Sang Woo Park,Rogelio Rodriguez-Gonzalez,Shashwat Shivam,Conan Y. Zhao +12 more
TL;DR: A new study models the potential effects of preferentially deploying recovered individuals, who are seropositive for anti-SARS-CoV-2 antibodies, into the community to reduce the number of interactions between susceptible and infected people, thereby limiting transmission of the virus.
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Coevolutionary diversification creates nested-modular structure in phage–bacteria interaction networks
TL;DR: It is shown that ‘nested-modular’ interaction networks can be produced by a simple model of host–phage coevolution in which infection depends on genetic matching, and suggest that the apparently complex community structures associated with marine bacteria and phage may arise from relatively simple coevolved origins.
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Real-time, interactive website for US-county-level COVID-19 event risk assessment.
Aroon T. Chande,Seolha Lee,Mallory J Harris,Quan Nguyen,Stephen J. Beckett,Troy Hilley,Clio Andris,Joshua S. Weitz +7 more
TL;DR: An interactive online dashboard that estimates the risk that at least one individual with SARS-CoV-2 is present in gatherings of different sizes in the United States, and provides data-driven information to help individuals and policy makers make prudent decisions that could help control the spread of SARS, particularly in hard-hit regions.