Transmission

Published on September 15, 2015 by

The effect of sexually transmitted co-infections on HIV viral load among individuals on antiretroviral therapy

Antiretroviral therapy (ART) markedly reduces the risk of sexual transmission of HIV. This inspired the idea of treatment as prevention (TasP) to reduce population HIV incidence, by reducing the infectiousness of HIV-infected individuals. However, increased infectiousness when treated individuals are co-infected with other sexually transmitted infections (STIs) could potentially undercut the effectiveness of TasP programs. As there is limited knowledge about the impact of STI co-infections on HIV shedding from individuals on ART, this study reviewed all published scientific evidence.

Published on September 12, 2012 by

The use of clusters to estimate recent transmission of TB

A new case of TB is the outcome of a recent infection event (primary TB) or is the result of the reactivation of a latent infection acquired some years previously. In a community where TB is endemic it is important to know the extent to which primary cases contribute to the overall burden as this can inform strategies to deal with the epidemic. This article discusses the methods for estimating the proportion of cases due to recent transmission by using cluster analysis. Sputum specimens from cases reporting to clinics are cultured and the TB strains are identified, commonly using molecular techniques of DNA ‘fingerprinting’. By comparing these fingerprints from various patients it becomes possible to classify them as unique or clustered. The proportion of clustered individuals can then be used as an indicator of the proportion of on-going or recent transmission.

Published on September 14, 2011 by

Transmission of tuberculosis in hyperendemic regions

Transmission of tuberculosis (TB) involves random processes operating at two very different levels. On the one hand, an infectious person must be in reasonably close proximity to a susceptible person for a minimum period of time (macro-level). On the other hand, minute droplets containing bacteria entities that are exhaled by the infectious person are inhaled by the recipient (micro-level). At both these levels the chance events can be described by a statistical formula, the Poisson distribution. An analysis of these two processes in this way reveals a surprising phenomenon that manifests in communities experiencing high incidences of TB disease.