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Neide Gomes

Biographic Data

ID9072124
NAMENeide Gomes
GIVEN NAMESNeide
FAMILY NAMEGomes
SIGNATUREGOMES N
AFFILIATIONSManhiça Health Research Centre
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Improving tuberculosis case detection through contact risk stratification by Xpert MTB/RIF Ultra and spatial parameters

    Open Access•Belén Saavedra, Dinis Nguenha et al.•ARTICLE•PLOS Global Public Health•2024

    Prompt diagnosis is critical for tuberculosis (TB) control, as it enables early treatment which in turn, reduces transmission and improves treatment outcomes. We investigated the impact on TB diagnosis of introducing Xpert Ultra as the frontline diagnostic test, combined with an innovative active-case finding (ACF) strategy (based on Xpert Ultra semi-quantitative results and spatial parameters), in a semi-rural district of Southern Mozambique. Fr…

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  • Improving tuberculosis case detection through contact risk stratification by Xpert MTB/RIF Ultra and spatial parameters

    Open Access•Belén Saavedra, Dinis Nguenha et al.•ARTICLE•PLOS Global Public Health•2024

    Prompt diagnosis is critical for tuberculosis (TB) control, as it enables early treatment which in turn, reduces transmission and improves treatment outcomes. We investigated the impact on TB diagnosis of introducing Xpert Ultra as the frontline diagnostic test, combined with an innovative active-case finding (ACF) strategy (based on Xpert Ultra semi-quantitative results and spatial parameters), in a semi-rural district of Southern Mozambique. Fr…

Case finding (1 work) · Cohort (1 work) · Contact tracing (1 work) · Data-Driven Disease Surveillance (1 work) · Disease (1 work) · Emergency Medicine (1 work) · Environmental health (1 work) · Internal Medicine (1 work) · Medicine (1 work) · Pathology (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae