Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2023Household transmission of non-toxigenic diphtheria toxin gene-bearing Corynebacterium diphtheriae following a cluster of cutaneous cases in a specialist outpatient setting3citations
  • 2023Evaluation of the World Health Organization Global Invasive Bacterial Vaccine-Preventable Disease (IB-VPD) Surveillance Network’s Laboratory External Quality Assessment Programme, 2014–20195citations

Places of action

Chart of shared publication
Meunier, Daniele
1 / 1 shared
Oboyle, Shennae
1 / 2 shared
Brown, Colin
1 / 3 shared
Zoysa, Aruni De
1 / 1 shared
Hopkins, Katie
1 / 1 shared
Efstratiou, Androulla
1 / 1 shared
Nicholls, Margot
1 / 1 shared
Newsholme, William
1 / 1 shared
Fry, Norman
1 / 1 shared
Heathcock, Rachel Thorn
1 / 1 shared
Stephenson, Jim
1 / 1 shared
Amirthalingam, Gayatri
1 / 1 shared
Sheppard, Carmen
2 / 2 shared
Pringle, Ellen
1 / 1 shared
Lacy, Joanne
1 / 2 shared
Daeth, Joshua
1 / 1 shared
Gower, Charlotte
1 / 1 shared
Groves, Natalie
1 / 1 shared
Chand, Meera
1 / 1 shared
Seaton, Shila
1 / 1 shared
Gray, Steve
1 / 1 shared
Fagan, Elizabeth J.
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Nakamura, Tomoka
1 / 1 shared
Slack, Mary P. E.
1 / 1 shared
Rey-Benito, Gloria
1 / 1 shared
Ghoniem, Amany
1 / 1 shared
Serhan, Fatima
1 / 1 shared
Grabovac, Varja
1 / 1 shared
Tondo, Emanuel
1 / 1 shared
Videbaek, Dovile
1 / 1 shared
Mwenda, Jason M.
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Chart of publication period
2023

Co-Authors (by relevance)

  • Meunier, Daniele
  • Oboyle, Shennae
  • Brown, Colin
  • Zoysa, Aruni De
  • Hopkins, Katie
  • Efstratiou, Androulla
  • Nicholls, Margot
  • Newsholme, William
  • Fry, Norman
  • Heathcock, Rachel Thorn
  • Stephenson, Jim
  • Amirthalingam, Gayatri
  • Sheppard, Carmen
  • Pringle, Ellen
  • Lacy, Joanne
  • Daeth, Joshua
  • Gower, Charlotte
  • Groves, Natalie
  • Chand, Meera
  • Seaton, Shila
  • Gray, Steve
  • Fagan, Elizabeth J.
  • Nakamura, Tomoka
  • Slack, Mary P. E.
  • Rey-Benito, Gloria
  • Ghoniem, Amany
  • Serhan, Fatima
  • Grabovac, Varja
  • Tondo, Emanuel
  • Videbaek, Dovile
  • Mwenda, Jason M.
OrganizationsLocationPeople

article

Evaluation of the World Health Organization Global Invasive Bacterial Vaccine-Preventable Disease (IB-VPD) Surveillance Network’s Laboratory External Quality Assessment Programme, 2014–2019

  • Seaton, Shila
  • Gray, Steve
  • Fagan, Elizabeth J.
  • Nakamura, Tomoka
  • Slack, Mary P. E.
  • Rey-Benito, Gloria
  • Ghoniem, Amany
  • Serhan, Fatima
  • Grabovac, Varja
  • Tondo, Emanuel
  • Videbaek, Dovile
  • Litt, David
  • Sheppard, Carmen
  • Mwenda, Jason M.
Abstract

<jats:p><jats:bold>Introduction.</jats:bold> In 2009, the World Health Organization (WHO) established the Global Invasive Bacterial Vaccine Preventable Disease (IB-VPD) Surveillance Network (GISN) to monitor the global burden and aetiology of bacterial meningitis, pneumonia and sepsis caused by <jats:italic><jats:named-content content-type="species"><jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://doi.org/10.1601/nm.3419" xlink:type="simple">Haemophilus influenzae</jats:ext-link></jats:named-content></jats:italic> (Hi), <jats:italic><jats:named-content content-type="species"><jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://doi.org/10.1601/nm.1926" xlink:type="simple">Neisseria meningitidis</jats:ext-link></jats:named-content></jats:italic> (Nm) and <jats:italic><jats:named-content content-type="species"><jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://doi.org/10.1601/nm.5677" xlink:type="simple">Streptococcus pneumoniae</jats:ext-link></jats:named-content></jats:italic> (Sp).</jats:p><jats:p><jats:bold>Hypothesis/Gap Statement</jats:bold>. The GISN established an external quality assessment (EQA) programme for the characterization of Hi, Nm and Sp by culture and diagnostic PCR.</jats:p><jats:p><jats:bold>Aim.</jats:bold> To assess the performance of sentinel site laboratories (SSLs), national laboratories (NLs) and regional reference laboratories (RRLs) between 2014 and 2019 in the EQA programme.</jats:p><jats:p><jats:bold>Methodology.</jats:bold> Test samples consisted of bacterial smears for Gram-staining, viable isolates for identification and serotyping or serogrouping (ST/SG), plus simulated cerebrospinal fluid (CSF) samples for species detection and ST/SG by PCR. SSLs and NLs were only required to analyse the slides for Gram staining and identify the species of the live isolates. RRLs, and any SLs and NLs that had the additional laboratory capacity, were also required to ST/SG the viable isolates and analyse the simulated CSF samples.</jats:p><jats:p><jats:bold>Results.</jats:bold> Across the period, 69–112 SS/NL labs and eight or nine RRLs participated in the EQA exercise. Most participants correctly identified Nm and Sp in Gram-stained smears but were less successful with Hi and other species. SSLs/NLs identified the Hi, Nm and Sp cultures well and also submitted up to 56 % of Hi, 62 % of Nm and 33 % of Sp optional ST/SG results each year. There was an increasing trend in the proportion of correct results submitted over the 6 years for Nm and Sp. Some SSLs/NLs also performed the optional detection and ST/SG of the three organisms by PCR in simulated CSF from 2015 onwards; 89–100 % of the CSF samples were correctly identified and 76–93 % of Hi-, 90–100 % of Nm- and 75–100 % of Sp-positive samples were also correctly ST/SG across the distributions. The RRLs performed all parts of the EQA to a very high standard, with very few errors across all aspects of the EQA.</jats:p><jats:p><jats:bold>Conclusion.</jats:bold> The EQA has been an important tool in maintaining high standards of laboratory testing and building of laboratory capacity in the GISN.</jats:p>

Topics
  • laser emission spectroscopy
  • static light scattering