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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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.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2022Potential Effects of the Coronavirus Disease 2019 (COVID-19) Pandemic on Human Immunodeficiency Virus (HIV) Transmission: A Modeling Study in 32 US Cities9citations
  • 2020Multicenter Study of the Accuracy of the BD MAX Multidrug-resistant Tuberculosis Assay for Detection of Mycobacterium tuberculosis Complex and Mutations Associated With Resistance to Rifampin and Isoniazid45citations

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Chart of shared publication
Fojo, Anthony
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Dowdy, David W.
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Schnure, Melissa
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Kasaie, Parastu
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Wallengren, Emma
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Paradis, Sonia
1 / 1 shared
Gotuzzo, Eduardo
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Caceres, Tatiana
1 / 1 shared
Beylis, Natalie
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Bharadwaj, Renu
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Nakiyingi, Lydia
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Betz, Joshua
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Mave, Vidya
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Pradhan, Neeta
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Joloba, Moses
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Armstrong, Derek
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King, Bonnie
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Knecht, Deborah
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Dorman, Susan E.
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Cooper, Charles K.
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Chart of publication period
2022
2020

Co-Authors (by relevance)

  • Fojo, Anthony
  • Dowdy, David W.
  • Schnure, Melissa
  • Kasaie, Parastu
  • Wallengren, Emma
  • Paradis, Sonia
  • Gotuzzo, Eduardo
  • Caceres, Tatiana
  • Beylis, Natalie
  • Bharadwaj, Renu
  • Nakiyingi, Lydia
  • Betz, Joshua
  • Mave, Vidya
  • Pradhan, Neeta
  • Joloba, Moses
  • Armstrong, Derek
  • Manabe, Yukari C.
  • King, Bonnie
  • Maus, Courtney E.
  • Knecht, Deborah
  • Dorman, Susan E.
  • Nicol, Mark P.
  • Cooper, Charles K.
OrganizationsLocationPeople

article

Potential Effects of the Coronavirus Disease 2019 (COVID-19) Pandemic on Human Immunodeficiency Virus (HIV) Transmission: A Modeling Study in 32 US Cities

  • Fojo, Anthony
  • Dowdy, David W.
  • Schnure, Melissa
  • Kasaie, Parastu
  • Wallengren, Emma
  • Shah, Maunank
Abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>The degree to which the 2019 novel coronavirus disease (COVID-19) pandemic will affect the US human immunodeficiency virus (HIV) epidemic is unclear.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We used the Johns Hopkins Epidemiologic and Economic Model to project HIV infections from 2020 to 2025 in 32 US metropolitan statistical areas (MSAs). We sampled a range of effects of the pandemic on sexual transmission (0–50% reduction), viral suppression among people with HIV (0–40% reduction), HIV testing (0–50% reduction), and pre-exposure prophylaxis use (0–30% reduction), and indexed reductions over time to Google Community Mobility Reports.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Simulations projected reported diagnoses would drop in 2020 and rebound in 2021 or 2022, regardless of underlying incidence. If sexual transmission normalized by July 2021 and HIV care normalized by January 2022, we projected 1161 (1%) more infections from 2020 to 2025 across all 32 cities than if COVID-19 had not occurred. Among “optimistic” simulations in which sexual transmission was sharply reduced and viral suppression was maintained we projected 8% lower incidence (95% credible interval: 14% lower to no change). Among “pessimistic” simulations where sexual transmission was largely unchanged but viral suppression fell, we projected 11% higher incidence (1–21% higher). MSA-specific projections are available at www.jheem.org?covid.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>The effects of COVID-19 on HIV transmission remain uncertain and differ between cities. Reported diagnoses of HIV in 2020–2021 are likely to correlate poorly with underlying incidence. Minimizing disruptions to HIV care is critical to mitigating negative effects of the COVID-19 pandemic on HIV transmission.</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • mobility
  • simulation
  • size-exclusion chromatography