Estimation of underreporting in Brazilian tuberculosis data, 2012-2014

TL;DR

This paper evaluates methods to estimate underreporting of tuberculosis cases in Brazil from 2012 to 2014, demonstrating how Oliveira et al.'s approach can be applied without prior clustering data.

Contribution

It adapts Oliveira et al.'s method for estimating underreporting to scenarios lacking pre-existing clustering information.

Findings

Oliveira et al.'s approach can be effectively applied without prior clustering.

The analysis highlights significant underregistration in Brazilian TB data.

Method demonstrates flexibility in data-limited contexts.

Abstract

Analysis of burden of underregistration in tuberculosis data in Brazil, from 2012 to 2014. Approches of Oliveira et al. (2020) and Stoner et al. (2019) are applied. The main focus is to illustrated how the approach of Oliveira et al. (2020) can be applied when the clustering structure is not previously available.