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Impact of the GeneXpert(®) MTB/RIF rapid molecular test on tuberculosis detection: temporal trends and vulnerable territories

OBJECTIVE: to assess the impact of the GeneXpert(®) MTB/RIF rapid molecular test on tuberculosis detection, to analyze the temporal trend of the event and to identify vulnerable territories in a Brazilian municipality. METHOD: an ecological study carried out in Ribeirão Preto, São Paulo, Brazil, a m...

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Autores principales: Berra, Thaís Zamboni, Bruce, Alexandre Tadashi Inomata, Alves, Yan Mathias, Ramos, Antônio Carlos Vieira, Giacomet, Clóvis Luciano, Arcêncio, Ricardo Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294793/
https://www.ncbi.nlm.nih.gov/pubmed/34287540
http://dx.doi.org/10.1590/1518.8345.4412.3441
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author Berra, Thaís Zamboni
Bruce, Alexandre Tadashi Inomata
Alves, Yan Mathias
Ramos, Antônio Carlos Vieira
Giacomet, Clóvis Luciano
Arcêncio, Ricardo Alexandre
author_facet Berra, Thaís Zamboni
Bruce, Alexandre Tadashi Inomata
Alves, Yan Mathias
Ramos, Antônio Carlos Vieira
Giacomet, Clóvis Luciano
Arcêncio, Ricardo Alexandre
author_sort Berra, Thaís Zamboni
collection PubMed
description OBJECTIVE: to assess the impact of the GeneXpert(®) MTB/RIF rapid molecular test on tuberculosis detection, to analyze the temporal trend of the event and to identify vulnerable territories in a Brazilian municipality. METHOD: an ecological study carried out in Ribeirão Preto, São Paulo, Brazil, a municipality considered a priority in tuberculosis control due to the high number of cases. To classify the temporal trend, the Prais-Winsten method and the Interrupted Time Series were used to identify changes in the disease incidence. Kernel intensity analysis was applied to identify vulnerable areas. RESULTS: the temporal trend of tuberculosis decreased by 18.1%/year and by 6.9%/year for children under 15 years old. The North District decreased by 6.67%/year and the East District increased by 17.5%/year in the incidence of tuberculosis. Resistant tuberculosis, after the implementation of the Rapid Molecular Test, increased by 0.6% per year. The South and West Districts showed a higher density of cases, with a range from 45 to 79 tuberculosis cases per square kilometer (km(2)). CONCLUSION: although resistant tuberculosis is not a problem in the scenario, the study showed an increase in its incidence, which puts it on alert. The use of spatial analysis enabled the identification of priority areas, putting them in evidence for health surveillance actions.
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spelling pubmed-82947932021-08-03 Impact of the GeneXpert(®) MTB/RIF rapid molecular test on tuberculosis detection: temporal trends and vulnerable territories Berra, Thaís Zamboni Bruce, Alexandre Tadashi Inomata Alves, Yan Mathias Ramos, Antônio Carlos Vieira Giacomet, Clóvis Luciano Arcêncio, Ricardo Alexandre Rev Lat Am Enfermagem Original Article OBJECTIVE: to assess the impact of the GeneXpert(®) MTB/RIF rapid molecular test on tuberculosis detection, to analyze the temporal trend of the event and to identify vulnerable territories in a Brazilian municipality. METHOD: an ecological study carried out in Ribeirão Preto, São Paulo, Brazil, a municipality considered a priority in tuberculosis control due to the high number of cases. To classify the temporal trend, the Prais-Winsten method and the Interrupted Time Series were used to identify changes in the disease incidence. Kernel intensity analysis was applied to identify vulnerable areas. RESULTS: the temporal trend of tuberculosis decreased by 18.1%/year and by 6.9%/year for children under 15 years old. The North District decreased by 6.67%/year and the East District increased by 17.5%/year in the incidence of tuberculosis. Resistant tuberculosis, after the implementation of the Rapid Molecular Test, increased by 0.6% per year. The South and West Districts showed a higher density of cases, with a range from 45 to 79 tuberculosis cases per square kilometer (km(2)). CONCLUSION: although resistant tuberculosis is not a problem in the scenario, the study showed an increase in its incidence, which puts it on alert. The use of spatial analysis enabled the identification of priority areas, putting them in evidence for health surveillance actions. Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo 2021-07-19 /pmc/articles/PMC8294793/ /pubmed/34287540 http://dx.doi.org/10.1590/1518.8345.4412.3441 Text en Copyright © 2021 Revista Latino-Americana de Enfermagem https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Berra, Thaís Zamboni
Bruce, Alexandre Tadashi Inomata
Alves, Yan Mathias
Ramos, Antônio Carlos Vieira
Giacomet, Clóvis Luciano
Arcêncio, Ricardo Alexandre
Impact of the GeneXpert(®) MTB/RIF rapid molecular test on tuberculosis detection: temporal trends and vulnerable territories
title Impact of the GeneXpert(®) MTB/RIF rapid molecular test on tuberculosis detection: temporal trends and vulnerable territories
title_full Impact of the GeneXpert(®) MTB/RIF rapid molecular test on tuberculosis detection: temporal trends and vulnerable territories
title_fullStr Impact of the GeneXpert(®) MTB/RIF rapid molecular test on tuberculosis detection: temporal trends and vulnerable territories
title_full_unstemmed Impact of the GeneXpert(®) MTB/RIF rapid molecular test on tuberculosis detection: temporal trends and vulnerable territories
title_short Impact of the GeneXpert(®) MTB/RIF rapid molecular test on tuberculosis detection: temporal trends and vulnerable territories
title_sort impact of the genexpert(®) mtb/rif rapid molecular test on tuberculosis detection: temporal trends and vulnerable territories
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294793/
https://www.ncbi.nlm.nih.gov/pubmed/34287540
http://dx.doi.org/10.1590/1518.8345.4412.3441
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