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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Berra, Thais Zamboni [1, 2] ; Inomata Bruce, Alexandre Tadashi [3, 1] ; Alves, Yan Mathias [1, 4] ; Vieira Ramos, Antonio Carlos [1, 4] ; Giacomet, Clovis Luciano [1] ; Arcencio, Ricardo Alexandre [1]
Total Authors: 6
Affiliation:
[1] Univ Sao Paulo, PAHO WHO Collaborating Ctr Nursing Res Dev, Escola Enfermagem Ribeirao Preto, Ribeirao Preto, SP - Brazil
[2] Fundacao Amparo Pesquisa Estado Sao Paulo FAPESP, Sao Paulo - Brazil
[3] Conselho Nacl Desenvolvimento Cient & Tecnol CNPq, Brasilia, DF - Brazil
[4] Coordenacao Aperfeigoamento Pessoal Nivel Super C, Brasilia, DF - Brazil
Total Affiliations: 4
Document type: Journal article
Source: Revista Latino-Americana de Enfermagem; v. 29, 2021.
Web of Science Citations: 0
Abstract

Objective: to assess the impact of the GeneXpert (R) 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 Ribeirao Preto, Sao 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. (AU)

FAPESP's process: 18/03700-7 - The impact of gene Xpert MTB/RIF in the detection of Tuberculosis and Multidrug-Resistant Tuberculosis and its spatial pattern in Ribeirão Preto-SP
Grantee:Thaís Zamboni Berra
Support Opportunities: Scholarships in Brazil - Doctorate