deletions | additions       diff --git a/subsection_Estimating_TB_mortality_among__1.tex b/subsection_Estimating_TB_mortality_among__1.tex  index b499793..f5dfdcd 100644  --- a/subsection_Estimating_TB_mortality_among__1.tex  +++ b/subsection_Estimating_TB_mortality_among__1.tex 
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TB mortality is calculated as the product of HIV-positive TB incidence (see section 4.5) and case fatality ratios:  \begin{align*}  M = (I-N)F_u + NF_n NF_t  \end{align*}  where $I$ represents incident TB cases among people living with HIV, $N$ represents HIV-positive cases that are notified, $(I-N)$ represents HIV-positive TB cases that are not notified and $M$ represents TB mortality among HIV-positive people. $F_n$ $F_t$  and $F_u$ are the case fatality ratios for notified treated  and non-notified non-treated  incident cases, respectively. The case fatality ratios were obtained in collaboration with the TB Modeling and Analysis Consortium (TB-MAC), and are shown in Table \ref{tab:hivcfr}. \begin{table}  \label{tab:hivcfr} 
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\caption{Distribution of CFR in HIV-positive individuals}  \end{table}  The disaggregation of incident TB into notified treated  and not notified treated  cases is based on the ratio of the point estimates for incident and notified cases. cases, adjusted for under-reporting.  A single CFR was used for all bootstrapped mortality estimates. Direct measurements of HIV-associated TB mortality are urgently needed. This is especially the case for countries such as South Africa and Zimbabwe, where national VR systems are already in place. In other countries, more efforts are needed to initiate the implementation of sample VR systems as an interim measure.  Details on TB mortality disaggregation by age and sex are provided in Chapter 2.