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Added additional references
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leftygray committed Jun 1, 2023
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6 changes: 4 additions & 2 deletions Impact_Tasp_Australia-skeleton.qmd
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Expand Up @@ -684,7 +684,8 @@ where $N_t$ is the number of people living with HIV in year $t$, $I_t$ is the
number of new HIV infections in year $t$, and $N^o_t$ is the number of people
living with HIV arriving from overseas in year $t$. Given the relatively slow
dynamics of HIV epidemics this difference equation approach with a yearly time
step is appropriate.[@] We also validated this approach for the HIV
step is appropriate.[@kelly_hiv_2015; @gray_funding_2017;
@scott_achieving_nodate] We also validated this approach for the HIV
epidemiology among Australian GBM (see details below).
To calculate the number of new HIV infections in Australia each year we derived
Expand All @@ -696,7 +697,8 @@ no one is on effective treatment or PrEP and there is no change in prevention
strategies or sexual behaviour the number of new infections in year $t$ is
$I_t = N_t \beta$. This means the $\beta$ parameter captures all the complex sexual
behaviour among the GBM population. This is a similar approach to previous
studies[@] and is appropriate because the focus of our analysis is on the
studies[@kelly_hiv_2015; @gray_funding_2017;
@scott_achieving_nodate] and is appropriate because the focus of our analysis is on the
impact of ART and PrEP rather than interventions aimed at changing sexual
behaviour. The effects of changing trends in sexual behaviour (potentially due
to ART and PrEP) are incorporated into the model through consistent condom use
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