Materials Map

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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)

  • 2022High seroprevalence of SARS-CoV-2 in Burkina-Faso, Ghana and Madagascar in 2021: a population-based study17citations
  • 2020Association of MYH9-rs3752462 polymorphisms with chronic kidney disease among clinically diagnosed hypertensive patients: a case-control study in a Ghanaian population6citations

Places of action

Chart of shared publication
Obirikorang, Christian
2 / 2 shared
Owiredu, William K. B. A.
1 / 1 shared
Acheampong, Emmanuel
1 / 2 shared
Owiredu, Eddie-Williams
1 / 1 shared
Akyaw, Priscilla Abena
1 / 1 shared
Amos-Abanyie, Ernestine Kubi
1 / 1 shared
Boima, Vincent
1 / 1 shared
Chart of publication period
2022
2020

Co-Authors (by relevance)

  • Obirikorang, Christian
  • Owiredu, William K. B. A.
  • Acheampong, Emmanuel
  • Owiredu, Eddie-Williams
  • Akyaw, Priscilla Abena
  • Amos-Abanyie, Ernestine Kubi
  • Boima, Vincent
OrganizationsLocationPeople

article

High seroprevalence of SARS-CoV-2 in Burkina-Faso, Ghana and Madagascar in 2021: a population-based study

  • Maiga-Ascofare, Oumou
  • Sié, Ali
  • Boudo, Valentin
  • Ouedraogo, Thierry A.
  • Rakotoarivelo, Rivo A.
  • Rushton, Ben
  • Boham, Eric Ebenezer Amprofi
  • Coulibaly, Boubacar
  • May, Jürgen
  • Rasolojaona, Zaraniaina Tahiry
  • Deschermeier, Christina
  • Deke, James
  • Struck, Nicole S.
  • Adu-Amoah, Louis
  • Fusco, Daniela
  • Awuah, Anthony Afum-Adjei
  • Brieger, Steven A.
  • Asare, Gracelyn
  • Kettenbeil, Jenny
  • Souares, Aurélia
  • Yawson, Alfred
  • Obirikorang, Christian
  • Benke, Dominik
  • Rakotozandrindrainy, Raphael
  • Sarkodie, Yaw Adu
  • Duah, Ibrahim Kwaku
  • Adu, Evans Asamoah
  • Rasamoelina, Tahinamandranto
  • Almoustapha, Nana Safi
  • Eibach, Daniel
  • Höppner, Yannick
  • Lorenz, Eva
  • Amoako-Adusei, Amos
  • Ginsbach, Anna M.
  • Amuasi, John H.
  • Ehmen, Christa
  • Boakye, Alexander Owusu
  • Loag, Wibke
  • Gunga, Leonard
Abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>The current COVID-19 pandemic affects the entire world population and has serious health, economic and social consequences. Assessing the prevalence of COVID-19 through population-based serological surveys is essential to monitor the progression of the epidemic, especially in African countries where the extent of SARS-CoV-2 spread remains unclear.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>A two-stage cluster population-based SARS-CoV-2 seroprevalence survey was conducted in Bobo-Dioulasso and in Ouagadougou, Burkina Faso, Fianarantsoa, Madagascar and Kumasi, Ghana between February and June 2021. IgG seropositivity was determined in 2,163 households with a specificity improved SARS-CoV-2 Enzyme-linked Immunosorbent Assay. Population seroprevalence was evaluated using a Bayesian logistic regression model that accounted for test performance and age, sex and neighbourhood of the participants.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Seroprevalence adjusted for test performance and population characteristics were 55.7% [95% Credible Interval (CrI) 49·0; 62·8] in Bobo-Dioulasso, 37·4% [95% CrI 31·3; 43·5] in Ouagadougou, 41·5% [95% CrI 36·5; 47·2] in Fianarantsoa, and 41·2% [95% CrI 34·5; 49·0] in Kumasi. Within the study population, less than 6% of participants performed a test for acute SARS-CoV-2 infection since the onset of the pandemic.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>High exposure to SARS-CoV-2 was found in the surveyed regions albeit below the herd immunity threshold and with a low rate of previous testing for acute infections. Despite the high seroprevalence in our study population, the duration of protection from naturally acquired immunity remains unclear and new virus variants continue to emerge. This highlights the importance of vaccine deployment and continued preventive measures to protect the population at risk.</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • cluster
  • laser emission spectroscopy
  • size-exclusion chromatography