Mariana Mendes Lopes

ORCID: 0000-0001-8638-7936
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About
Contact & Profiles
Research Areas
  • COVID-19 Clinical Research Studies
  • SARS-CoV-2 and COVID-19 Research
  • Innovation and Knowledge Management
  • SARS-CoV-2 detection and testing
  • Regional Development and Policy
  • Innovation Policy and R&D
  • Biomedical Ethics and Regulation
  • Infection Control and Ventilation
  • Health Systems, Economic Evaluations, Quality of Life
  • Intellectual Capital and Performance Analysis
  • University-Industry-Government Innovation Models

i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto
2021-2022

Universidade do Porto
2012-2021

To assess the prevalence of SARS-CoV-2-specific IgM and IgG antibodies among workers three public higher education institutions Porto, Portugal, up to July 2020.A rapid point-of-care test for specific SARS-CoV-2 was offered all (SD Biosensor STANDARD Q COVID-19 IgM/IgG Duo Combo). Testing performed a questionnaire completed by 4592 on voluntary basis from 21 May 31 2020. We computed apparent IgM, IgG, combined or prevalence, along with true 95% credible intervals (95% CrI) using Bayesian...

10.1136/oemed-2021-107519 article EN Occupational and Environmental Medicine 2021-06-30

The empirical studies in the area of Open Innovation (OI) reveal that there is a significant bias favour countries on technological frontier. present study aims to bridge this gap by examining firms Portugal, country at an intermediate stage development. Based 70 innovative firms, we found whatever perspective OI model considered, tend, average, share relatively closed innovation when compared with located where development advanced. About quarter surveyed implemented their...

10.1556/aoecon.62.2012.4.2 article EN Acta Oeconomica 2012-12-01

Objective: We aimed to quantify SARS-CoV-2 specific antibodies’ seroprevalence among university students in Porto. Methods: A rapid point of care testing for immunoglobulin (Ig) M and IgG antibodies was performed, a questionnaire applied 6512 voluntary from September December 2020. computed the apparent IgM, IgG, IgM or prevalence, true prevalence 95% credible intervals (95% CI) using Bayesian inference. Results: found an (IgM IgG) 9.7%, being 7.9% CI 4.9–11.1). Prevalence significantly...

10.3389/ijph.2022.1604548 article EN cc-by International Journal of Public Health 2022-10-20

Abstract Objectives To assess the prevalence of SARS-CoV-2 specific immunoglobulin (Ig) M and IgG antibodies among workers three public higher education institutions Porto, Portugal, up to July 2020. Methods A rapid point care test for IgM was offered all workers. Testing performed a questionnaire completed by 4592 on voluntary basis. We computed apparent IgM, IgG, combined or prevalence, along with true 95% credible intervals (95% CI) using Bayesian inference. Results found an 3.1% 1.0%...

10.1101/2021.02.28.21252628 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2021-03-02

ABSTRACT Introduction Incidence based on notified cases of SARS-CoV-2 infection underestimates the real extension infection. We aimed to quantify specific antibodies’ seroprevalence among University students in Porto. Methods A rapid point care testing for immunoglobulin (Ig) M and IgG antibodies was performed, a questionnaire applied 6512 voluntary from September December 2020. computed apparent IgM, IgM or prevalence, true prevalence 95% credible intervals (95% CI) using Bayesian...

10.1101/2021.10.14.21264978 preprint EN cc-by-nc medRxiv (Cold Spring Harbor Laboratory) 2021-10-18
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