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App-based symptoms screening with Xpert MTB/RIF Ultra assay used for active tuberculosis detection in migrants at point of arrivals in Italy: The E-DETECT TB intervention analysis

PLoS Neglected Tropical Diseases Jul 05, 2019

Barcellini L, et al. - An active tuberculosis case finding strategy to screen newly arrived migrants at point of arrivals in Sicily was put to test and the results were reported in this study. This strategy used a smartphone application, the E-detect App, for symptom screening, followed by the use of the Xpert Ultra (a fast, sensitive and specific molecular assay) for on-spot sputum analysis. This trial was performed between November 2016 and December 2017. There were 3,787 migrants who were evaluated medically. As per the initial findings, 396 per 100,000 individuals screened (95% CI: 2.22–6.53) was the post-entry screening prevalence rate reported. A greater chance of testing positive was reported in those with cough and at least one other symptom vs those with symptoms other than cough, as revealed in logistic regression analysis. Two separate cases of transmission were shown by whole-genome-sequencing.

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