Technical Update
Areas of Africa endemic for Buruli ulcer (BU), caused by Mycobacterium ulcerans, also have a high prevalence of human immunodeficiency virus (HIV), with adult prevalence rates between 1% and 5% (Maps). However, there is limited information on the prevalence of BU–HIV coinfection.... Preliminary
evidence suggests that HIV infection may increase the risk of BU disease (1–3). In the Médecins Sans Frontières project in Akonolinga, Cameroon, HIV prevalence was approximately 3–6 times higher among BU patients than the regional estimated HIV prevalence (2). Similarly in Benin and Ghana, BU
patients were 8 times and 3 times respectively more likely to have HIV infection than those without BU (1, 3). Further study is needed to clarify this association and enhance knowledge about the prevalence ofBU–HIV coinfection in endemic areas.
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IN THE AMOUNT OF SDR 21.8 MILLION (US$30 MILLION EQUIVALENT) WITH AN ADDITIONAL GRANT FROM THE GLOBAL FINANCING FACILITY (GFF) IN THE AMOUNT OF US$ 10 MILLION TO THE DEMOCRATIC REPUBLIC OF CONGO FOR A HUMAN DEVELOPMENT SYSTEMS STRENGTHENING PROJECT
Overcoming HIV-related stigma and discrimination in health- care settings and beyond
UNAIDS 2017 | REFERENCE
The frequency of infectious disease epidemics is increasing, and the role of the health sector in the management of epidemics is crucial in terms of response. In the context of infectious disease epidemics, the use of climate-informed early warning systems (EWS) has the potential to increase the eff...ectiveness of disease control by intervening before or at the beginning of the epidemic curve, instead of during the downward slope.
Currently, the initiation of interventions is heavily reliant on routine disease surveillance systems – data that often arrive too late for preventative response. However, forecasting of disease outbreaks using surveillance and weather information shows promising potential – there also remains further scope to examine seasonal climate forecasts. By combining these elements in new EWS based on computational models, it will be possible to improve both the timeliness and impact of disease control. The World Health Organization (WHO) is strengthening existing surveillance systems for infectious diseases to enable the development of more robust and timely EWS, which has resulted in the rapid development and innovation of EWS for disease outbreaks.
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http://www.nacp.go.tz/site/publications/epidemiology-and-research-coordination
Learning from the Use of Data, Information, and Digital Technologies in the West Africa Ebola Outbreak Response
Mid-term review of The National AIDS Programme 2011-15
October 2013