Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

Materials Map under construction

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Rauschenberger, Vera

  • Google
  • 2
  • 14
  • 4

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2024Ralstonia pickettii bloodstream infections with potential genomic link to internationally distributed contaminated saline solution, Germany, October 20234citations
  • 2023Evaluation of intrahospital test data as an indicator of SARS-CoV-2 incidence underreportingcitations

Places of action

Chart of shared publication
Kurzai, Oliver
1 / 1 shared
Kampmeier, Stefanie
2 / 2 shared
Blaschke, Vera
1 / 1 shared
Krone, Manuel
2 / 2 shared
Claus, Heike
1 / 2 shared
Eisenmann, Michael
1 / 1 shared
Pscheidl, Tamara
1 / 1 shared
Höhn, Anna
1 / 1 shared
Mees, Juliane
1 / 1 shared
Reusch, Julia
1 / 1 shared
Ebert, Sina
1 / 1 shared
Wagenhäuser, Isabell
1 / 1 shared
Petri, Nils
1 / 1 shared
Roth, Nina
1 / 3 shared
Chart of publication period
2024
2023

Co-Authors (by relevance)

  • Kurzai, Oliver
  • Kampmeier, Stefanie
  • Blaschke, Vera
  • Krone, Manuel
  • Claus, Heike
  • Eisenmann, Michael
  • Pscheidl, Tamara
  • Höhn, Anna
  • Mees, Juliane
  • Reusch, Julia
  • Ebert, Sina
  • Wagenhäuser, Isabell
  • Petri, Nils
  • Roth, Nina
OrganizationsLocationPeople

document

Evaluation of intrahospital test data as an indicator of SARS-CoV-2 incidence underreporting

  • Eisenmann, Michael
  • Pscheidl, Tamara
  • Höhn, Anna
  • Mees, Juliane
  • Reusch, Julia
  • Kampmeier, Stefanie
  • Ebert, Sina
  • Wagenhäuser, Isabell
  • Krone, Manuel
  • Petri, Nils
  • Rauschenberger, Vera
  • Roth, Nina
Abstract

<jats:title>Abstract</jats:title><jats:p>The incidence has been widely used to assess the epidemiological situation during the COVID-19 pandemic and guide health policy. As testing requirements changed during the pandemic, more SARS-CoV-2 infections may have remained undetected. This study aims to evaluate the use of different indicators for estimating unreported SARS-CoV-2 infections. Monthly SARS-CoV-2 incidences in the general Bavarian population were compared with three indicators: incidence in healthcare workers (HCWs), incidence of patients, and incidence in visitors. Based on this, the number of unreported SARS-CoV-2 cases in the Bavarian population was estimated. The incidence from the visitors correlated moderately with the official incidences (r = 0.63). The general population incidence and the inpatient incidence are highly correlated (r = 0.91), as are the general population incidence and the HCWs incidence (r = 0.94). Between April 2020 and June 2023, the general population incidence was on average higher than the average incidence of the three indicators, after which the relationship reversed. The reversal of the relationship between the data series of the Bavarian population and the chosen indicators in June 2022 suggests that SARS-CoV-2 infections were underreported. Inpatient screening incidence and HCWs’ incidence in settings with low-threshold test accessibility are suitable indicators of current epidemiology in the general population.</jats:p>

Topics