NHSP 2017- 2022 (Final draft)
NAMI HelpLine
Contents
I’m having a lot of anxiety because of the coronavirus. Please help.
I’m quarantined or working from home – lonely and isolated even further – what can I do?
I don’t have health insurance or a regular doctor – how can I get care?
What if I’m quarantin...ed and can’t get my medication? Will there be a shortage?
My business is suffering as a result of the Coronavirus. What assistance programs are available to help?
Are people who have a mental illness at a greater risk of contracting COVID-19?
Is there a vaccine or cure for COVID-19?
I lost a loved one to Coronavirus. Where can I find support?
I’m a smoker. Am I more likely to catch COVID-19? What should I do?
How does homelessness increase risk of contracting COVID-19?
My loved one is incarcerated, are they at increased risk for exposure to COVID-19?
I’m the aging parent of an adult child living with a serious mental illness. I want to be sure they are taken care of.
Are there any online support resources for people with substance use disorders?
more
NSP Review
Engaging with South Africa’s National Strategic Plan for HIV, STIs and TB Edition 7 July – August 2013
A publication of the Treatment Action Campaign and SECTION27
GeneXpert: An imperfect rollout
TB in South African prisons: Where to now?
Decentralising DR-TB care: How far alon...g are we?
more
This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
more
West: Drada & Nagar Haveli, Daman & Diu, Goa, Gujarat, Maharashtra
South: Andhra Pradesh & Telangana, Karnataka, Kerala, Puducherry, Tamil Nadu
This technical document consists of epidemiological profiles (fact-sheets) for States and districts based on information available from multiple d...ata sources including the HIV Sentinel Surveillance (HSS) and the Integrated Biological and Behavioural Surveillance (IBBS). Given the need for focussed prevention efforts in low/high prevalence and vulnerable States/districts, the information presented will be useful for policy makers, program planners at national/State/ district level, researchers, and academicians in identification of areas for priority attention and also to derive meaningful conclusions for programme planning, implementation, monitoring and scale-up. This document will be a quick reference for the HIV/AIDS situation in a State/district, risk and safe behaviour of the high risk groups, their level of knowledge about STIs and HIV/AIDS, experience of violence, HIV testing and ART awareness and exposure to HIV/AIDS prevention.
more
Towards attaining the highest standard Health.
Towards ending tuberculosis and multidrug-resistant tuberculosis.