Cervial cancer screening among HIV-positive women in rural Cambodia: a pilot programme

Mexico AIDS Conference 200

An artificial neural network predictor for tropospheric surface duct phenomena

International audienceIn this work, an artificial neural network (ANN) model is developed and used to predict the presence of ducting phenomena for a specific time, taking into account ground values of atmospheric pressure, relative humidity and temperature. A feed forward backpropagation ANN is implemented, which is trained, validated and tested using atmospheric radiosonde data from the Helliniko airport, for the period from 1991 to 2004. The network's quality and generality is assessed using the Area Under the Receiver Operating Characteristics (ROC) Curves (AUC), which resulted to a mean value of about 0.86 to 0.90, depending on the observation time. In order to validate the ANN results and to evaluate any further improvement options of the proposed method, the problem was additionally treated using Least Squares Support Vector Machine (LS-SVM) classifiers, trained and tested with identical data sets for direct performance comparison with the ANN. Furthermore, time series prediction and the effect of surface wind to the presence of tropospheric ducts appearance are discussed. The results show that the ANN model presented here performs efficiently and gives successful tropospheric ducts predictions

High prevalence of undiagnosed diabetes among tuberculosis patients in peripheral health facilities in Kerala

Supported by the TB Union//MSF Course on Operational Researc

Is screening for diabetes among tuberculosis patients feasible at the field level?

Supported by the TB Union/MSF Course on Operational Researc

Tuberculosis-diabetes mellitus bidirectional screening at a tertiary care centre, South India

Supported by the TB Union/MSF Course on Operational Researc

Infection control in households of drug-resistant tuberculosis patients co-infected with HIV in Mumbai, India

Background: Mumbai has a population of 21 million, and an increasingly recognised epidemic of drug-resistant tuberculosis (DR-TB). Objective: To describe TB infection control (IC) measures implemented in households of DR-TB patients co-infected with the human immunodeficiency virus(HIV) under a Médecins Sans Frontières programme. Methods: IC assessments were carried out in patient households between May 2012 and March 2013. A simplified,standardised assessment tool was utilised to assess the risk of TB transmission and guide interventions. Administrative, environmental and personal protective measures were tailored to patient needs. Results: IC assessments were carried out in 29 houses.Measures included health education, segregating sleeping areas of patients, improving natural ventilation by opening windows, removing curtains and obstacles to air flow, installing fans and air extractors and providing surgical masks to patients for limited periods. Environmental interventions were carried out in 22 houses. Conclusions: TB IC could be a beneficial component of a comprehensive TB and HIV care programme in households and communities. Although particularly challenging in slum settings, IC measures that are feasible, affordable and acceptable can be implemented in such settings using simplified and standardised tools. Appropriate IC interventions at household level may prevent new cases of DR-TB, especially in households of patients with a lower chance of cure

Diabetes mellitus and smoking among tuberculosis patients in a tertiary care centre in Karnataka, India

Supported by the TB Union/MSF Course on Operational Researc

Ocular inflammatory disease and ocular tuberculosis in a cohort of patients co-infected with HIV and multidrug-resistant tuberculosis in Mumbai, India: a cross-sectional study.

The prevalence and the patterns of ocular inflammatory disease and ocular tuberculosis (TB) are largely undocumented among Multidrug Resistant TB (MDR-TB) patients co-infected with Human Immunodeficiency Virus (HIV) and on antituberculosis and antiretroviral therapy (ART)