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 (3/3 displayed)

  • 2024Enhancing Flame-Retardant Properties of Polyurethane Aerogels Doped with Silica-Based Particles4citations
  • 2022Risk of SARS-CoV-2 infection in high and low-risk cohabitants, in Loures and Odivelas, Portugalcitations
  • 2020Tuberculosis’ surveillance in a group of primary healthcare centres of Lisbon districtcitations

Places of action

Chart of shared publication
Miranda, Francisca
1 / 1 shared
Pinilla Peñalver, Esther
1 / 1 shared
Fresno López, Óscar Del
1 / 1 shared
Oliveira, Marcelo
1 / 2 shared
Moreira, Adriana
1 / 1 shared
Cantero Martín, Darío
1 / 1 shared
Romero Izquierdo, Amaya
1 / 1 shared
Ornelas, Mariana
1 / 1 shared
Sánchez Silva, María Luz
1 / 1 shared
Bastos, L.
1 / 1 shared
Cordeiro, C.
1 / 1 shared
Gabriel, C.
1 / 5 shared
Vieira, C.
1 / 1 shared
Pereira, M. Bragança
1 / 1 shared
Subtil, Im
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Marques, Jl
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Cunha, I. Mateus
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Moreira, A.
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Pinto, C. S.
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Gil, M. M.
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Pereira, M. B.
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Duarte, S.
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Lopes, D. G.
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Cunha, I.
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Chart of publication period
2024
2022
2020

Co-Authors (by relevance)

  • Miranda, Francisca
  • Pinilla Peñalver, Esther
  • Fresno López, Óscar Del
  • Oliveira, Marcelo
  • Moreira, Adriana
  • Cantero Martín, Darío
  • Romero Izquierdo, Amaya
  • Ornelas, Mariana
  • Sánchez Silva, María Luz
  • Bastos, L.
  • Cordeiro, C.
  • Gabriel, C.
  • Vieira, C.
  • Pereira, M. Bragança
  • Subtil, Im
  • Marques, Jl
  • Cunha, I. Mateus
  • Moreira, A.
  • Pinto, C. S.
  • Gil, M. M.
  • Pereira, M. B.
  • Duarte, S.
  • Lopes, D. G.
  • Cunha, I.
OrganizationsLocationPeople

article

Risk of SARS-CoV-2 infection in high and low-risk cohabitants, in Loures and Odivelas, Portugal

  • Bastos, L.
  • Cordeiro, C.
  • Gabriel, C.
  • Vieira, C.
  • Pereira, M. Bragança
  • Subtil, Im
  • Marques, Jl
  • Cunha, I. Mateus
  • Gomes, Filipa
Abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Effective contact tracing, vaccination, and isolation of cases of SARS-CoV-2 infection and their high-risk contacts constituted measures to contain the spread of COVID-19. In Portugal, in October 2021, low-risk cohabitants were lifted the obligation to isolate. The aim of this study was to estimate the relative risk of infection for close contacts, regarding the type of close contact and being cohabitants.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>A descriptive longitudinal study, with an analytical component was performed. Sociodemographic and epidemiologic data from close contacts and confirmed cases in Loures and Odivelas, between October and November 2021, was collected from a regional database and from Trace COVID-19 platform. We performed a descriptive analysis and estimated the relative risk of SARS-CoV-2 positive test, stratified by type of contact and cohabitation, with 95% confidence level.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>We identified 200 confirmed cases and 428 people who were close contacts, corresponding to 502 different close contacts (59 people had contact with more than a case). From 502 close contacts, 268 were classified as low-risk and 230 as high-risk. Full time cohabitation was present in 310 of close contacts. Between contact tracing day and the next 4 weeks, 58 (10.9%) of close contacts tested positive. Risk of high-risk contacts testing positive was 2.7 [1.5-4.6], compared with low-risk contacts. Risk of cohabitants testing positive was 3.5 [1.6-7.7], compared with non-cohabitants. Risk of a high-risk cohabitant testing positive was 2.2 [1.1-4.4], compared with low-risk cohabitants. There was no higher risk of high-risk cohabitants testing positive compared with high-risk non-cohabitants. Same was true for low-risk cohabitants and non-cohabitants.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>These results allow us to understand how to better stratify close contacts and apply isolation measures, according to the risk of testing positive. Further studies should be developed to assess the impact of other variables.</jats:p></jats:sec><jats:sec><jats:title>Key messages</jats:title><jats:p>• We identified an increased risk of testing positive in high-risk contacts, and in cohabitants.</jats:p><jats:p>• Cohabitants could be stratified regarding being high or low-risk, with different measures being applied.</jats:p></jats:sec>

Topics
  • size-exclusion chromatography