Reporting period: January 2014 – December 2014
The human immunodeficiency virus (HIV) epidemic in Myanmar is concentrated among men who have sex with men (MSM), people who inject drugs (PWID) and female sex workers (FSW). HIV prevalence in the adult population aged 15 years and older was esti...mated at 0.54% in 2014. But data from HIV Sentinel Sero-Surveillance (HSS) indicates higher prevalence in 2014 among key populations: FSW 6.3%, MSM 6.6% and PWID 23.1%. Compared to 2012 data, the prevalence has declined from 7.1% in FSW and 8.9% in MSM, but has increased from 18% in PWID.
Epidemiological modelling suggests that in 2014 there were around 212,000 people living with HIV (PLHIV) in Myanmar, 34% of whom were females. Nearly 11,000 people died of HIV-related illnesses, compared to approximately 15,000 in 2011. An estimated 9,000 new infections occurred in 2014.
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Bulletin of the World Health Organization 2016. doi: http://dx.doi.org/10.2471/BLT.16.171082
Objective: To describe the temporal and geographical distribution of Zika virus infection, and associated neurological disorders, from 1947 to February 2016.
WHO/HTM/TB/2007.384a
“TB is too often a death sentence for people with AIDS.
It does not have to be this way.”
-Nelson Mandela, International conference on HIV /AIDS, Bangkok, Thailand, July 2004
Data on Infectious Diseases in Ukraine Now Available as a Free eBook to Help Medics and Relief Efforts During the War.
• Data on the 215+ infectious diseases endemic to Ukraine
• All published data on infections imported into Ukraine
To download the book, please click the button below and use... the coupon code EBOOKUKRAINE at checkout: The code will expire in 30 days.
March 2nd, 2022
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PQDx 0198-071-00
WHO PQDx PR
April/2016, version 2.0
Evaluation report November 2014
Single TB and HIV Concept Note Albania 2016-2018 27 April 2015
FOLLOW-UP TO THE 2011 POLITICAL DECLARATION ON HIV/AIDS: INTENSIFYING EFFORTS TO ELIMINATE HIV/AIDS | Reporting Period: January – December 2014
Many African countries were amongst the most rapid to respond to the emerging threat of COVID-19, implementing large-scale interventions at very early stages of their epidemic. As demonstrated in this document using very simple models, this rapid mobilization and timeliness of implementing control m...easures is likely to be an important determinant of their success. Indeed, as these measures were relaxed, subsequent waves of disease have been observed in many countries including South Africa, Kenya, Tunisia, Morocco, Sudan and the Democratic Republic of Congo (DRC) where such waves have severely impacted the health system by straining the supply of oxygen and ICU beds and inflicting a heavy toll on healthcare workers, often necessitating the re-imposition of control measures.
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