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ETHNOS_APP

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Esperança Guimarães

Datos Biográficos

ID9065967
NOMBREEsperança Guimarães
NOMBRESEsperança
APELLIDOGuimarães
FIRMAGUIMARÃES E
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2023
AÑO MÁS RECIENTE DE PUBLICACIÓN2023
ÍNDICE H0
  • Testing for Sars-CoV-2 in resource-limited settings

    Open Access•Nelmo Jordão Manjate, Nádia Sitoe et al.•ARTICLE•PLOS Global Public Health•2023

    Early diagnosis of SARS-CoV-2 is fundamental to reduce the risk of community transmission and mortality, as well as public sector expenditures. Three years after the onset of the SARS-CoV-2 pandemic, there are still gaps on what is known regarding costs and cost drivers for the major diagnostic testing strategies in low- middle-income countries (LMICs). This study aimed to estimate the cost of SARS-CoV-2 diagnosis of symptomatic suspected patient…

Sin obras prominentes en esta página.

  • Testing for Sars-CoV-2 in resource-limited settings

    Open Access•Nelmo Jordão Manjate, Nádia Sitoe et al.•ARTICLE•PLOS Global Public Health•2023

    Early diagnosis of SARS-CoV-2 is fundamental to reduce the risk of community transmission and mortality, as well as public sector expenditures. Three years after the onset of the SARS-CoV-2 pandemic, there are still gaps on what is known regarding costs and cost drivers for the major diagnostic testing strategies in low- middle-income countries (LMICs). This study aimed to estimate the cost of SARS-CoV-2 diagnosis of symptomatic suspected patient…

2019-20 coronavirus outbreak (1 obra) · Biology (1 obra) · Computational biology (1 obra) · Computer Science (1 obra) · COVID-19 diagnosis using AI (1 obra) · Diagnostic test (1 obra) · Emergency Medicine (1 obra) · Internal Medicine (1 obra) · Medicine (1 obra) · SARS-CoV-2 and COVID-19 Research (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae