Sensitivity of Various Case Detection Algorithms for Community-based Tuberculosis Screening

2Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Using data from 388 people diagnosed with tuberculosis through a community-based screening program in Lima, Peru, we estimated that cough screening followed by sputum smear microscopy would have detected only 23% of cases found using an algorithm of radiographic screening followed by rapid nucleic acid amplification testing and clinical evaluation.

Cite

CITATION STYLE

APA

Puma, D., Yuen, C. M., Millones, A. K., Brooks, M. B., Jimenez, J., Calderon, R. I., … Keshavjee, S. (2023). Sensitivity of Various Case Detection Algorithms for Community-based Tuberculosis Screening. Clinical Infectious Diseases, 76(3), E987–E989. https://doi.org/10.1093/cid/ciac492

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free