This publication by UNAIDS, UNDP and the International Organisation for Migration examines various dimensions related to migration and HIV and AIDS.
The context of the Ebola epidemic presented extreme challenges for Oxfam, as it did for many organisations. At the onset of the epidemic, there was a general lack of understanding of the disease and how to respond to it effectively and safely. A pervasive and persistent climate of fear, coupled with... changing predictions about the likely evolution of the epidemic, influenced analysis and response at all levels. There was strong pressure to treat the epidemic as a medical emergency requiring a medical response – organised through topdown processes – rather than standard humanitarian coordination
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front cover © Hannah Maule-Ffinch/Save the Children
Fact Book on WHO Level I and Level II monitoring indicators - To monitor the progress of efforts to improve the global medicines situation, WHO has developed a system of indicators that measure important aspects of a country’s pharmaceutical situation. Level 1 indicators measure the existence and ...performance of key national pharmaceutical structures and processes. Level II indicators measure key outcomes of these structures and processes in the areas of access, product quality and rational use. These indicators can be used to assess progress over time; to compare situations between countries; and to reassess and prioritize efforts based on the results.
This Fact Book gives the results of the assessment of Level I indicators conducted in 2003 and of Level II indicator surveys conducted between 2002 and 2004
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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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