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Article ; Online: A template for the authoring of statistical analysis plans

Gary Stevens / Shawn Dolley / Robin Mogg / Jason T. Connor

Contemporary Clinical Trials Communications, Vol 34, Iss , Pp 101100- (2023)

2023

Abstract: A number of principal investigators may have limited access to biostatisticians, a lack of biostatistical training, or no requirement to complete a timely statistical analysis plan (SAP). SAPs completed early will identify design or implementation weak ... ...

Abstract	A number of principal investigators may have limited access to biostatisticians, a lack of biostatistical training, or no requirement to complete a timely statistical analysis plan (SAP). SAPs completed early will identify design or implementation weak points, improve protocols, remove the temptation for p-hacking, and enable proper peer review by stakeholders considering funding the trial. An SAP completed at the same time as the study protocol might be the only comprehensive method for at once optimizing sample size, identifying bias, and applying rigor to study design. This ordered corpus of SAP sections with detailed definitions and a variety of examples represents an omnibus of best practice methods offered by biostatistical practitioners inside and outside of industry. The article presents a protocol template for clinical research design, enabling statisticians, from beginners to advanced.
Keywords	Statistical analysis plan ; SAP ; Trial protocol ; Prospective analysis ; Medicine (General) ; R5-920
Language	English
Publishing date	2023-08-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Airborne gamma-ray mapping using fixed-wing vertical take-off and landing (VTOL) uncrewed aerial vehicles

Ewan Woodbridge / Dean T. Connor / Yannick Verbelen / Duncan Hine / Tom Richardson / Thomas B. Scott

Frontiers in Robotics and AI, Vol

2023 Volume 10

Abstract: Low-cost uncrewed aerial vehicles (UAVs) are replacing manned aircraft for airborne radiation mapping applications such as nuclear accident response scenarios or surveying ore deposits and mine sites because of their cost-effectiveness and ability to ... ...

Abstract	Low-cost uncrewed aerial vehicles (UAVs) are replacing manned aircraft for airborne radiation mapping applications such as nuclear accident response scenarios or surveying ore deposits and mine sites because of their cost-effectiveness and ability to conduct surveys at lower altitude compared to manned counterparts. Both multi-rotor UAVs and fixed-wing UAVs are well established technologies for aerial radiation mapping applications, however, both also have drawbacks: multi-rotor UAVs are very limited in flight time and range, and fixed-wing UAVs usually require facilities for take-off and landing. A compromise solution is introduced in this work, using a fixed-wing vertical take-off and landing (VTOL) UAV that combines the flexibility of a multi-rotor UAV with the range and flight time of a fixed-wing UAV. The first implementation of a VTOL with radiation mapping capabilities is presented, based on a commercial WingtraOne UAV augmented with CsI scintillator and CZT semiconductor gamma spectrometers. The radiation mapping capabilities of the prototype are demonstrated in a case study, mapping the distribution of radionuclides around the South Terras legacy uranium mine in the south of England, United Kingdom, and the results are compared with previous studies using multi-rotor and manned aircraft to survey the same area.
Keywords	VTOL (vertical takeoff and landing) ; radiation mapping ; UAV (unmanned aerial vehicle) ; naturally occurring radioactive material (NORM) ; radioactivity ; gamma radiation ; Mechanical engineering and machinery ; TJ1-1570 ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	629
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: An Introduction to Nuclear Industrial Archaeology

Erin I. Holland / Yannick Verbelen / Dean T. Connor / Tomas Martin / Matthew Higginson / Thomas B. Scott

Sustainability, Vol 15, Iss 6178, p

2023 Volume 6178

Abstract: The legacy of the early days of the Atomic Age consists of many problematic sites worldwide, including radioactive waste dumps, uranium mines, spent fuel reprocessing plants, and defunct processing and enrichment plants. Although nature quickly reclaims ... ...

Abstract	The legacy of the early days of the Atomic Age consists of many problematic sites worldwide, including radioactive waste dumps, uranium mines, spent fuel reprocessing plants, and defunct processing and enrichment plants. Although nature quickly reclaims abandoned sites, any remaining radioisotopes can pose a threat for millennia to come, long after the benefits gained from nuclear technology have faded. The field of nuclear industrial archaeology specialises in finding and characterising these sites to support local communities and site owners. Where maps and building plans have been lost, nuclear archaeologists deploy state-of-the-art analysis techniques on the ground to unravel the current state of legacy sites, and quantify the remaining radioactive inventories to the standard required by the nation the site is located within. The objectives of nuclear industrial archaeology are varied and site dependent. Whether the objective is to puzzle the forgotten history of activity back together or safeguard and recover dangerous radioactive materials, nuclear industrial archaeology adapts radioanalytical laboratory and site-surveying techniques in order to understand the site and allow scientists to communicate this information to support remediation efforts. This paper discusses current methodologies alongside a case study.
Keywords	nuclear forensic analysis ; legacy waste ; nuclear forensics ; XRF ; isotopic fingerprinting ; microscopy ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	930
Language	English
Publishing date	2023-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Multiagent off-screen behavior prediction in football

Shayegan Omidshafiei / Daniel Hennes / Marta Garnelo / Zhe Wang / Adria Recasens / Eugene Tarassov / Yi Yang / Romuald Elie / Jerome T. Connor / Paul Muller / Natalie Mackraz / Kris Cao / Pol Moreno / Pablo Sprechmann / Demis Hassabis / Ian Graham / William Spearman / Nicolas Heess / Karl Tuyls

Scientific Reports, Vol 12, Iss 1, Pp 1-

2022 Volume 13

Abstract: Abstract In multiagent worlds, several decision-making individuals interact while adhering to the dynamics constraints imposed by the environment. These interactions, combined with the potential stochasticity of the agents’ dynamic behaviors, make such ... ...

Abstract	Abstract In multiagent worlds, several decision-making individuals interact while adhering to the dynamics constraints imposed by the environment. These interactions, combined with the potential stochasticity of the agents’ dynamic behaviors, make such systems complex and interesting to study from a decision-making perspective. Significant research has been conducted on learning models for forward-direction estimation of agent behaviors, for example, pedestrian predictions used for collision-avoidance in self-driving cars. In many settings, only sporadic observations of agents may be available in a given trajectory sequence. In football, subsets of players may come in and out of view of broadcast video footage, while unobserved players continue to interact off-screen. In this paper, we study the problem of multiagent time-series imputation in the context of human football play, where available past and future observations of subsets of agents are used to estimate missing observations for other agents. Our approach, called the Graph Imputer, uses past and future information in combination with graph networks and variational autoencoders to enable learning of a distribution of imputed trajectories. We demonstrate our approach on multiagent settings involving players that are partially-observable, using the Graph Imputer to predict the behaviors of off-screen players. To quantitatively evaluate the approach, we conduct experiments on football matches with ground truth trajectory data, using a camera module to simulate the off-screen player state estimation setting. We subsequently use our approach for downstream football analytics under partial observability using the well-established framework of pitch control, which traditionally relies on fully observed data. We illustrate that our method outperforms several state-of-the-art approaches, including those hand-crafted for football, across all considered metrics.
Keywords	Medicine ; R ; Science ; Q
Subject code	006
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Radiological Identification of Near-Surface Mineralogical Deposits Using Low-Altitude Unmanned Aerial Vehicle

Peter G. Martin / Dean T. Connor / Natalia Estrada / Adel El-Turke / David Megson-Smith / Chris P. Jones / David K. Kreamer / Thomas B. Scott

Remote Sensing, Vol 12, Iss 3562, p

2020 Volume 3562

Abstract: An ever-increasing global population and unabating technological growth have resulted in a relentless appetite for mineral resources, namely rare earth elements, fuel minerals and those utilised in electronics applications, with the price of such species ...

Abstract	An ever-increasing global population and unabating technological growth have resulted in a relentless appetite for mineral resources, namely rare earth elements, fuel minerals and those utilised in electronics applications, with the price of such species continuing to climb. In contrast to more established large-scale and high-cost exploration methodologies, this work details the application of novel multi-rotor unmanned aerial vehicles equipped with miniaturised radiation detectors for the objective of undertaking resource exploration at lower costs, with greater autonomy and at considerably enhanced higher spatial resolutions; utilizing the ore material’s inherent low levels of characteristic radioactivity. As we demonstrate at the former Wooley Mine site in Arizona, USA, a legacy Cu/Fe prospect where the 600 by 275 m ore body (with a maximum deposit depth of 150 m), it is shown that such a fusion of commercially available low-altitude multi-rotor aerial technology combined with cutting-edge micro-electronics and detector materials is capable of accurately assessing the spatial distribution and associated radiogenic signatures of commercially valuable surface/near-surface ore bodies. This integrated system, deployed at an autonomously controlled consistent survey altitude and using constant grid transects/separations, is shown to be able to delineate the mineral-containing ore deposits on the site, the location(s) of former mine workings and other surface manifestations. Owing to its advantageous costs alongside its ease of operation and subsequent data-processing, through the adoption of this system, it is envisaged that less economically developed countries would now possess the means through which to evaluate and appropriately quantify their mineral wealth without the significant initial expenditure needed to equip themselves with otherwise prohibitively expensive technologies.
Keywords	UAV ; exploration ; drone ; NORM ; minerals ; radiation ; Science ; Q
Subject code	670
Language	English
Publishing date	2020-10-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Corrigendum

Dean T. Connor / Kieran Wood / Peter G. Martin / Sevda Goren / David Megson-Smith / Yannick Verbelen / Igor Chyzhevskyi / Serhii Kirieiev / Nick T. Smith / Tom Richardson / Thomas B. Scott

Frontiers in Robotics and AI, Vol

Radiological Mapping of Post-Disaster Nuclear Environments Using Fixed-Wing Unmanned Aerial Systems: A Study From Chornobyl

2020 Volume 7

Keywords	radiation ; Chornobyl ; UAS (unmanned aircraft system) ; fixed-wing aerial surveys ; post-disaster ; cesium ; Mechanical engineering and machinery ; TJ1-1570 ; Electronic computers. Computer science ; QA75.5-76.95
Language	English
Publishing date	2020-02-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Radiological Mapping of Post-Disaster Nuclear Environments Using Fixed-Wing Unmanned Aerial Systems

Dean T. Connor / Kieran Wood / Peter G. Martin / Sevda Goren / David Megson-Smith / Yannick Verbelen / Igor Chyzhevskyi / Serhii Kirieiev / Nick T. Smith / Tom Richardson / Thomas B. Scott

Frontiers in Robotics and AI, Vol

A Study From Chornobyl

2020 Volume 6

Abstract: In the immediate aftermath following a large-scale release of radioactive material into the environment, it is necessary to determine the spatial distribution of radioactivity quickly. At present, this is conducted by utilizing manned aircraft equipped ... ...

Abstract	In the immediate aftermath following a large-scale release of radioactive material into the environment, it is necessary to determine the spatial distribution of radioactivity quickly. At present, this is conducted by utilizing manned aircraft equipped with large-volume radiation detection systems. Whilst these are capable of mapping large areas quickly, they suffer from a low spatial resolution due to the operating altitude of the aircraft. They are also expensive to deploy and their manned nature means that the operators are still at risk of exposure to potentially harmful ionizing radiation. Previous studies have identified the feasibility of utilizing unmanned aerial systems (UASs) in monitoring radiation in post-disaster environments. However, the majority of these systems suffer from a limited range or are too heavy to be easily integrated into regulatory restrictions that exist on the deployment of UASs worldwide. This study presents a new radiation mapping UAS based on a lightweight (8 kg) fixed-wing unmanned aircraft and tests its suitability to mapping post-disaster radiation in the Chornobyl Exclusion Zone (CEZ). The system is capable of continuous flight for more than 1 h and can resolve small scale changes in dose-rate in high resolution (sub-20 m). It is envisaged that with some minor development, these systems could be utilized to map large areas of hazardous land without exposing a single operator to a harmful dose of ionizing radiation.
Keywords	radiation ; Chornobyl ; UAS (unmanned aircraft system) ; fixed-wing aerial surveys ; post-disaster ; cesium ; Mechanical engineering and machinery ; TJ1-1570 ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	710
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Radiation Mapping and Laser Profiling Using a Robotic Manipulator

Samuel R. White / David A. Megson-Smith / Kaiqiang Zhang / Dean T. Connor / Peter G. Martin / Chris Hutson / Guido Herrmann / John Dilworth / Thomas B. Scott

Frontiers in Robotics and AI, Vol

2020 Volume 7

Abstract: The use of a robotic arm manipulator as a platform for coincident radiation mapping and laser profiling of radioactive sources on a flat surface is investigated in this work. A combined scanning head, integrating a micro-gamma spectrometer and Time of ... ...

Abstract	The use of a robotic arm manipulator as a platform for coincident radiation mapping and laser profiling of radioactive sources on a flat surface is investigated in this work. A combined scanning head, integrating a micro-gamma spectrometer and Time of Flight (ToF) sensor were moved in a raster scan pattern across the surface, autonomously undertaken by the robot arm over a 600 × 260 mm survey area. A series of radioactive sources of different emission intensities were scanned in different configurations to test the accuracy and sensitivity of the system. We demonstrate that in each test configuration the system was able to generate a centimeter accurate 3D model complete with an overlaid radiation map detailing the emitted radiation intensity and the corrected surface dose rate.
Keywords	radiation mapping ; 3D modeling ; spectrometry ; gamma scanning ; nuclear waste ; robotic manipulator ; Mechanical engineering and machinery ; TJ1-1570 ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	629
Language	English
Publishing date	2020-11-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The ProBio trial

Alessio Crippa / Bram De Laere / Andrea Discacciati / Berit Larsson / Jason T. Connor / Erin E. Gabriel / Camilla Thellenberg / Elin Jänes / Gunilla Enblad / Anders Ullen / Marie Hjälm-Eriksson / Jan Oldenburg / Piet Ost / Johan Lindberg / Martin Eklund / Henrik Grönberg

Trials, Vol 21, Iss 1, Pp 1-

molecular biomarkers for advancing personalized treatment decision in patients with metastatic castration-resistant prostate cancer

2020 Volume 10

Abstract: Abstract Background Multiple therapies exist for patients with metastatic castration-resistant prostate cancer (mCRPC). However, their improvement on progression-free survival (PFS) remains modest, potentially explained by tumor molecular heterogeneity. ... ...

Abstract	Abstract Background Multiple therapies exist for patients with metastatic castration-resistant prostate cancer (mCRPC). However, their improvement on progression-free survival (PFS) remains modest, potentially explained by tumor molecular heterogeneity. Several prognostic molecular biomarkers have been identified for mCRPC that may have predictive potential to guide treatment selection and prolong PFS. We designed a platform trial to test this hypothesis. Methods The Prostate-Biomarker (ProBio) study is a multi-center, outcome-adaptive, multi-arm, biomarker-driven platform trial for tailoring treatment decisions for men with mCRPC. Treatment decisions in the experimental arms are based on biomarker signatures defined as mutations in certain genes/pathways suggested in the scientific literature to be important for treatment response in mCRPC. The biomarker signatures are determined by targeted sequencing of circulating tumor and germline DNA using a panel specifically designed for mCRPC. Discussion Patients are stratified based on the sequencing results and randomized to either current clinical practice (control), where the treating physician decides treatment, or to molecularly driven treatment selection based on the biomarker profile. Outcome-adaptive randomization is implemented to early identify promising treatments for a biomarker signature. Biomarker signature-treatment combinations graduate from the platform when they demonstrate 85% probability of improving PFS compared to the control arm. Graduated combinations are further evaluated in a seamless confirmatory trial with fixed randomization. The platform design allows for new drugs and biomarkers to be introduced in the study. Conclusions The ProBio design allows promising treatment-biomarker combinations to quickly graduate from the platform and be confirmed for rapid implementation in clinical care. Trial registration ClinicalTrials.gov Identifier NCT03903835 . Date of registration: April 4, 2019. Status: Recruiting.
Keywords	Clinical trial platform ; Genetic biomarker ; Prostate cancer ; Precision medicine ; Medicine (General) ; R5-920
Language	English
Publishing date	2020-06-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Geographical and temporal distribution of SARS-CoV-2 clades in the WHO European Region, January to June 2020

E., Alm / E. K., Broberg / T., Connor / E. B., Hodcroft / A. B., Komissarov / S., Maurer-Stroh / A., Melidou / R. A., Neher / A., O'Toole / Niko Beerenwinkel, Pereyaslov D. / Posada-Céspedes, Susana / Philipp Jablonski, Kim / Falé Ferreira, Pedro / Topolsky, Ivan / Avšič-Županc, Tatjana / Korva, Miša / Poljak, Mario / Zakotnik, Samo / Mark Zorec, Tomaž /

Bragstad, Karoline / Hungnes, Olav / Stene-Johansen, Kathrine / Reusken, Chantal / Meijer, Adam / Vennema, Harry / Ruiz-Roldán, Lidia / Alma Bracho, María / García-González, Neris / Chiner-Oms, Álvaro / Cancino-Muñoz, Irving / Comas, Iñaki / A Goig, Galo / Torres-Puente, Manuela / G López, Mariana / Martínez-Priego, Llúcia / D'Auria, Giuseppe / Ferrús-Abad, Loreto / de Marco, Griselda / Galan-Vendrell, Inmaculada / Carbó-Ramirez, Sandra / Ruíz-Hueso, Paula / Coscollá, Mireia / Polackova, Katerina / Kramna, Lenka / Cinek, Ondrej / Richter, Jan / Krashias, George / Tryfonos, Christina / Bashiardes, Stavros / Koptides, Dana / Christodoulou, Christina / Bartolini, Barbara / Em Gruber, Cesare / Di Caro, Antonino / Castilletti, Concetta / Stefani, Fabrizio / Giordana Rimoldi, Sara / Romeri, Francesca / Salerno, Franco / Polesello, Stefano / Nagy, Alexander / Jirincova, Helena / Vecerova, Jaromira / Novakova, Ludmila / Cordey, Samuel / Murtskhvaladze, Marine / Kotaria, Nato / Schär, Tobias / Beisel, Christian / Vugrek, Oliver / Rokić, Filip / Trgovec-Greif, Lovro / Jurak, Igor / Rukavina, Tomislav / Sučić, Neven / Schønning, Kristian / M Karst, Søren / H Kirkegaard, Rasmus / Y Michaelsen, Thomas / Aa Sørensen, Emil / Knutson, Simon / Brandt, Jakob / Le-Quy, Vang / Sørensen, Trine / Petersen, Celine / Schou Pedersen, Martin / Løkkegaard Larsen, Sanne / Nielsine Skov, Marianne / Rasmussen, Morten / Fonager, Jannik / Fomsgaard, Anders / Amirovich Maksyutov, Rinat / Vasil'Evna Gavrilova, Elena / Victorovich Pyankov, Oleg / Alexandrovich Bodnev, Sergey / Vladimirovna Tregubchak, Tatyana / Nikolayevich Shvalov, Alexander / Victorovich Antonets, Denis / Cristina Resende, Paola / Goya, Stephanie / Perrin, Amandine / Tc Lee, Raphael / Yadahalli, Shilpa / X Han, Alvin / A Russell, Colin / Schmutz, Stefan / Zaheri, Maryam / Kufner, Verena / Huber, Michael / Trkola, Alexandra / Antwerpen, Markus / C Walter, Mathias / van der Werf, Sylvie / Gambaro, Fabiana / Behillil, Sylvie / Enouf, Vincent / Donati, Flora / Ustinova, Monta / Rovite, Vita / Klovins, Janis / Savicka, Oksana / K Wienecke-Baldacchino, Anke / Ragimbeau, Catherine / Fournier, Guillaume / Mossong, Joël / W Aberle, Stephan / Haukland, Mattias / Enkirch, Theresa / Advani, Abdolreza / Lind Karlberg, Maria / Karlsson Lindsjö, Oskar / Broddesson, Sandra / Sláviková, Monika / Ličková, Martina / Klempa, Boris / Staroňová, Edita / Tichá, Elena / Szemes, Tomáš / Rusňáková, Diana / Stadler, Tanja / Quer, Josep / Anton, Andres / Andres, Cristina / Piñana, Maria / Garcia-Cehic, Damir / Pumarola, Tomas / Izopet, Jacques / Gioula, Georgia / Exindari, Maria / Papa, Anna / Chatzidimitriou, Dimitrios / Metallidis, Symeon / Pappa, Stella / Macek Jr, Milan / Geryk, Jan / Brož, Petr / Briksí, Aleš / Hubáček, Petr / Dřevínek, Pavel / Zajac, Miroslav / Kvapil, Petr / Holub, Michal / Kvapilová, Kateřina / Novotný, Adam / Kašný, Martin / Klempt, Petr / Vapalahti, Olli / Smura, Teemu / Sironen, Tarja / Selhorst, Philippe / Anthony, Colin / Ariën, Kevin / Simon-Loriere, Etienne / Rabalski, Lukasz / Bienkowska-Szewczyk, Krystyna / Borges, Vítor / Isidro, Joana / Paulo Gomes, João / Guiomar, Raquel / Pechirra, Pedro / Costa, Inês / Duarte, Sílvia / Vieira, Luís / Pyrc, Krzysztof / S Zuckerman, Neta / Turdikulova, Shahlo / Abdullaev, Alisher / Dalimova, Dilbar / Abdurakhimov, Abror / Tagliabracci, Adriano / Alessandrini, Federica / Melchionda, Filomena / Onofri, Valerio / Turchi, Chiara / Bagnarelli, Patrizia / Menzo, Stefano / Caucci, Sara / Di Sante, Laura / Popa, Alexandra / Genger, Jakob-Wendelin / Agerer, Benedikt / Lercher, Alexander / Endler, Lukas / Smyth, Mark / Penz, Thomas / Schuster, Michael / Senekowitsch, Martin / Laine, Jan / Bock, Christoph / Bergthaler, Andreas / Shevtsov, Alexandr / Kalendar, Ruslan / Ramanculov, Yerlan / Graf, Alexander / Muenchhoff, Maximilian / T Keppler, Oliver / Krebs, Stefan / Blum, Helmut / Marcello, Alessandro / Licastro, Danilo / D'Agaro, Pierlanfranco / Laubscher, Florian / Vidanovic, Dejan / Tesovic, Bojana / Volkening, Jeremy / Clementi, Nicola / Mancini, Nicasio / Rupnik, Maja / Mahnic, Aleksander / Walker, Andreas / Houwaart, Torsten / Wienemann, Tobias / Kohns Vasconcelos, Malte / Strelow, Daniel / Ole Jensen, Björn-Erik / Senff, Tina / Hülse, Lisanna / Adams, Ortwin / Andree, Marcel / Hauka, Sandra / Feldt, Torsten / Keitel, Verena / Kindgen-Milles, Detlef / Timm, Jörg / Pfeffer, Klaus / T Dilthey, Alexander / Moore, Catherine / Ozdarendeli, Aykut / Terkis Islam Pavel, Shaikh / Yetiskin, Hazel / Aydin, Gunsu / Holyavkin, Can / Ali Uygut, Muhammet / Cevik, Ceren / Shchetinin, Alexey / Gushchin, Vladimir / Dinler-Doganay, Gizem / Doganay, Levent / Kizilboga-Akgun, Tugba / Karacan, Ilker / Pancer, Katarzyna / Maes, Piet / Martí-Carreras, Joan / Wawina-Bokalanga, Tony / Vanmechelen, Bert / Thürmer, Andrea / Wedde, Marianne / Dürrwald, Ralf / Von Kleist, Max / Drechsel, Oliver / Wolff, Thorsten / Fuchs, Stephan / Kmiecinski, Rene / Michel, Janine / Nitsche, Andreas / Casas, Inmaculada / Iglesias Caballero, María / Zaballos, Ángel / Jiménez, Pilar / Jiménez, Mercedes / Monzón Fernández, Sara / Varona Fernández, Sarai / Cuesta De La Plaza, Isabel / Fadeev, Artem / Ivanova, Anna / Sergeeva, Mariia / Stefanelli, Paola / Estee Torok, M / Hall, Grant / da Silva Filipe, Ana / Turtle, Lance / Afifi, Safiah / Mccluggage, Kathryn / Beer, Robert / Ledesma, Juan / Maksimovic, Joshua / Spellman, Karla / L Hamilton, William / Marchbank, Angela / Alexander Southgate, Joel / Underwood, Anthony / Taylor, Ben / Yeats, Corin / Abudahab, Khalil / R Gemmell, Matthew / Eccles, Richard / Lucaci, Anita / Abigail Nelson, Charlotte / Rainbow, Lucille / Whitehead, Mark / Gregory, Richard / Haldenby, Sam / Paterson, Steve / A Hughes, Margaret / D Curran, Martin / Baker, David / Tucker, Rachel / R Green, Luke / Feltwell, Theresa / D Halstead, Fenella / Wyles, Matthew / S Jahun, Aminu / Y Ahmad, Shazaad S / Georgana, Iliana / Goodfellow, Ian / Yakovleva, Anna / W Meredith, Luke / Gavriil, Artemis / Raza Awan, Ali / Fisher, Chloe / Edgeworth, Jonathan / Lynch, Jessica / Moore, Nathan / Williams, Rebecca / P Kidd, Stephen / Cortes, Nicholas / Brunker, Kirstyn / T Mccrone, John / Quick, Joshua / Duckworth, Nichola / Walsh, Sarah / Sloan, Tim / Ludden, Catherine / P George, Ryan / Eltringham, Gary / R Brown, Julianne / Aranday-Cortes, Elihu / G Shepherd, James / Hughes, Joseph / K Li, Kathy / C Williams, Thomas / Johnson, Natasha / Jesudason, Natasha / Mair, Daniel / Thomson, Emma / Shah, Rajiv / A Parr, Yasmin / Carmichael, Stephen / L Robertson, David / Nomikou, Kyriaki / Broos, Alice / Niebel, Marc / Smollett, Katherine / Tong, Lily / Miah, Shahjahan / Wittner, Anita / Phillips, Nicole / Payne, Brendan / Dewar, Rebecca / Holmes, Alison / Bolt, Frances / R Price, James / Mookerjee, Siddharth / K Sethi, Dheeraj / Potter, Will / Stanley, Rachael / Prakash, Reenesh / Dervisevic, Samir / Clive Graham, Jonathan / Nelson, Andrew / Smith, Darren / R Young, Gregory / Chyin Yew, Wen / A Todd, John / Trebes, Amy / Andersson, Monique / Bull, Matthew / Watkins, Joanne / Birchley, Alec / Gatica-Wilcox, Bree / Gilbert, Lauren / Kumžiene-Summerhayes, Sara / Rey, Sara / Chauhan, Anoop / Butcher, Ethan / Bicknell, Kelly / Elliott, Scott / Glaysher, Sharon / Lackenby, Angie / Bibby, David / Platt, Steven / Mohamed, Hodan / William Machin, Nicholas / Lutamyo Mbisa, Jean / Evans, Jonathan / Perry, Malorie / Pacchiarini, Nicole / Corden, Sally / Geraint Adams, Alexander / Gaskin, Amy / Coombs, Jason / John Graham, Lee / Cottrell, Simon / Morgan, Mari / Gifford, Laura / Kolyva, Anastasia / John Rudder, Steven / J Trotter, Alexander / E Mather, Alison / Aydin, Alp / J Page, Andrew / L Kay, Gemma / de Oliveira Martins, Leonardo / Yasir, Muhammad / Alikhan, Nabil-Fareed / M Thomson, Nicholas / Gilroy, Rachel / A Kingsley, Robert / O'Grady, Justin / Victoria Gutierrez, Ana / Diaz, Maria / Le Viet, Thanh / P Tedim, Ana / M 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2020

Abstract: 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 sequence ... ...

Abstract	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 sequence data from the World Health Organization European Region available until 10 July 2020. We highlight the importance of real-time sequencing and data dissemination in a pandemic situation, compare the nomenclatures and lay a foundation for future European genomic surveillance of SARS-CoV-2.
Keywords	COVID-19 ; Europe ; NGS ; nomenclature ; SARS-CoV-2 ; sequencing ; WGS ; Base Sequence ; Betacoronavirus ; Coronavirus ; Coronavirus Infections ; Genome ; Viral ; Humans ; Phylogeography ; Pneumonia ; RNA Replicase ; RNA ; Severe Acute Respiratory Syndrome ; Spatio-Temporal Analysis ; World Health Organization ; Pandemics ; covid19
Language	English
Publishing country	it
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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