Percorrer por autor "Koopmans, Marion"
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- MERS coronavirus: data gaps for laboratory preparednessPublication . de Sousa, Rita; Reusken, Chantal; Koopmans, MarionSince the emergence of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) in 2012, many questions remain on modes of transmission and sources of virus. In outbreak situations, especially with emerging organisms causing severe human disease, it is important to understand the full spectrum of disease, and shedding kinetics in relation to infectivity and the ability to transmit the microorganism. Laboratory response capacity during the early stages of an outbreak focuses on development of virological and immunological methods for patient diagnosis, for contact tracing, and for epidemiological studies into sources, modes of transmission, identification of risk groups, and animal reservoirs. However, optimal use of this core public health laboratory capacity requires a fundamental understanding of kinetics of viral shedding and antibody response, of assay validation and of interpretation of test outcomes. We reviewed available data from MERS-CoV case reports, and compared this with data on kinetics of shedding and immune response from published literature on other human coronaviruses (hCoVs). We identify and discuss important data gaps, and biases that limit the laboratory preparedness to this novel disease. Public health management will benefit from standardised reporting of methods used, details of test outcomes by sample type, sampling date, in relation to symptoms and risk factors, along with the currently reported demographic, clinical and epidemiological findings.
- Proficiency Testing of Virus Diagnostics Based on Bioinformatics Analysis of Simulated In Silico High-Throughput Sequencing Data SetsPublication . Brinkmann, Annika; Andrusch, Andreas; Belka, Ariane; Wylezich, Claudia; Höper, Dirk; Pohlmann, Anne; Nordahl Petersen, Thomas; Lucas, Pierrick; Blanchard, Yannick; Papa, Anna; Melidou, Angeliki; Oude Munnink, Bas B.; Matthijnssens, Jelle; Deboutte, Ward; Ellis, Richard J.; Hansmann, Florian; Baumgärtner, Wolfgang; van der Vries, Erhard; Osterhaus, Albert; Camma, Cesare; Mangone, Iolanda; Lorusso, Alessio; Marcacci, Maurilia; Nunes, Alexandra; Pinto, Miguel; Borges, Vítor; Kroneman, Annelies; Schmitz, Dennis; Corman, Victor Max; Drosten, Christian; Jones, Terry C.; Hendriksen, Rene S.; Aarestrup, Frank M.; Koopmans, Marion; Beer, Martin; Nitsche, AndreasQuality management and independent assessment of high-throughput sequencing-based virus diagnostics have not yet been established as a mandatory approach for ensuring comparable results. The sensitivity and specificity of viral high-throughput sequence data analysis are highly affected by bioinformatics processing using publicly available and custom tools and databases and thus differ widely between individuals and institutions. Here we present the results of the COMPARE [Collaborative Management Platform for Detection and Analyses of (Re-)emerging and Foodborne Outbreaks in Europe] in silico virus proficiency test. An artificial, simulated in silico data set of Illumina HiSeq sequences was provided to 13 different European institutes for bioinformatics analysis to identify viral pathogens in high-throughput sequence data. Comparison of the participants' analyses shows that the use of different tools, programs, and databases for bioinformatics analyses can impact the correct identification of viral sequences from a simple data set. The identification of slightly mutated and highly divergent virus genomes has been shown to be most challenging. Furthermore, the interpretation of the results, together with a fictitious case report, by the participants showed that in addition to the bioinformatics analysis, the virological evaluation of the results can be important in clinical settings. External quality assessment and proficiency testing should become an important part of validating high-throughput sequencing-based virus diagnostics and could improve the harmonization, comparability, and reproducibility of results. There is a need for the establishment of international proficiency testing, like that established for conventional laboratory tests such as PCR, for bioinformatics pipelines and the interpretation of such results.
- Tracking the international spread of SARS-CoV-2 lineages B.1.1.7 and B.1.351/501Y-V2 with grinchPublication . O'Toole, Áine; Hill, Verity; Pybus, Oliver G.; Watts, Alexander; Bogoch, Issac I.; Khan, Kamran; Messina, Jane P.; Tegally, Houriiyah; Lessells, Richard R.; Giandhari, Jennifer; Pillay, Sureshnee; Tumedi, Kefentse Arnold; Nyepetsi, Gape; Kebabonye, Malebogo; Matsheka, Maitshwarelo; Mine, Madisa; Tokajian, Sima; Hassan, Hamad; Salloum, Tamara; Merhi, Georgi; Koweyes, Jad; Geoghegan, Jemma L.; de Ligt, Joep; Ren, Xiaoyun; Storey, Matthew; Freed, Nikki E.; Pattabiraman, Chitra; Prasad, Pramada; Desai, Anita S.; Vasanthapuram, Ravi; Schulz, Thomas F.; Steinbrück, Lars; Stadler, Tanja; Parisi, Antonio; Bianco, Angelica; García de Viedma, Darío; Buenestado-Serrano, Sergio; Borges, Vítor; Isidro, Joana; Duarte, Sílvia; Gomes, João Paulo; Zuckerman, Neta S.; Mandelboim, Michal; Mor, Orna; Seemann, Torsten; Arnott, Alicia; Draper, Jenny; Gall, Mailie; Rawlinson, William; Deveson, Ira; Schlebusch, Sanmarié; McMahon, Jamie; Leong, Lex; Lim, Chuan Kok; Chironna, Maria; Loconsole, Daniela; Bal, Antonin; Josset, Laurence; Holmes, Edward; St. George, Kirsten; Lasek-Nesselquist, Erica; Sikkema, Reina S.; Oude Munnink, Bas; Koopmans, Marion; Brytting, Mia; Sudha rani, V.; Pavani, S.; Smura, Teemu; Heim, Albert; Kurkela, Satu; Umair, Massab; Salman, Muhammad; Bartolini, Barbara; Rueca, Martina; Drosten, Christian; Wolff, Thorsten; Silander, Olin; Eggink, Dirk; Reusken, Chantal; Vennema, Harry; Park, Aekyung; Carrington, Christine; Sahadeo, Nikita; Carr, Michael; Gonzalez, Gabo; de Oliveira, Tulio; Faria, Nuno; Rambaut, Andrew; Kraemer, Moritz U.G.Late in 2020, two genetically-distinct clusters of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with mutations of biological concern were reported, one in the United Kingdom and one in South Africa. Using a combination of data from routine surveillance, genomic sequencing and international travel we track the international dispersal of lineages B.1.1.7 and B.1.351 (variant 501Y-V2). We account for potential biases in genomic surveillance efforts by including passenger volumes from location of where the lineage was first reported, London and South Africa respectively. Using the software tool grinch (global report investigating novel coronavirus haplotypes), we track the international spread of lineages of concern with automated daily reports, Further, we have built a custom tracking website (cov-lineages.org/global_report.html) which hosts this daily report and will continue to include novel SARS-CoV-2 lineages of concern as they are detected.