Bibliography on HIV/AIDS in Ethiopia and Ethiopians in the Diaspora: The 2006 Update

No Abstract. The Ethiopian Journal of Health Development Vol. 21 (1) 2007: pp. 70-9

Bibliography on HIV/AIDS in Ethiopia and Ethiopians in the Diaspora: The 2004 Update

No Abstract Available Ethiop.J.Health Dev. Vol.19(1) 2005: 65-8

Bibliography on HIV/AIDS in Ethiopia and Ethiopians in the Diaspora: The 2011 Update

No abstract

Bibliography on HIV/AIDS in Ethiopia and Ethiopians in the diaspora: The 2016 update

No Abstrac

Microbiological, histological, immunological, and toxin response to antibiotic treatment in the mouse model of Mycobacterium ulcerans disease.

Mycobacterium ulcerans infection causes a neglected tropical disease known as Buruli ulcer that is now found in poor rural areas of West Africa in numbers that sometimes exceed those reported for another significant mycobacterial disease, leprosy, caused by M. leprae. Unique among mycobacterial diseases, M. ulcerans produces a plasmid-encoded toxin called mycolactone (ML), which is the principal virulence factor and destroys fat cells in subcutaneous tissue. Disease is typically first manifested by the appearance of a nodule that eventually ulcerates and the lesions may continue to spread over limbs or occasionally the trunk. The current standard treatment is 8 weeks of daily rifampin and injections of streptomycin (RS). The treatment kills bacilli and wounds gradually heal. Whether RS treatment actually stops mycolactone production before killing bacilli has been suggested by histopathological analyses of patient lesions. Using a mouse footpad model of M. ulcerans infection where the time of infection and development of lesions can be followed in a controlled manner before and after antibiotic treatment, we have evaluated the progress of infection by assessing bacterial numbers, mycolactone production, the immune response, and lesion histopathology at regular intervals after infection and after antibiotic therapy. We found that RS treatment rapidly reduced gross lesions, bacterial numbers, and ML production as assessed by cytotoxicity assays and mass spectrometric analysis. Histopathological analysis revealed that RS treatment maintained the association of the bacilli with (or within) host cells where they were destroyed whereas lack of treatment resulted in extracellular infection, destruction of host cells, and ultimately lesion ulceration. We propose that RS treatment promotes healing in the host by blocking mycolactone production, which favors the survival of host cells, and by killing M. ulcerans bacilli

Pharmacologic management of Mycobacterium ulcerans infection

Introduction: Pharmacological treatment of Buruli ulcer (Mycobacterium ulcerans infection; BU) is highly effective, as shown in two randomized trials in Africa. Areas covered: We review BU drug treatment–in vitro, in vivo and clinical trials (PubMed: ‘(Buruli OR (Mycobacterium AND ulcerans)) AND (treatment OR therapy).’ We also highlight the pathogenesis of M. ulcerans infection that is dominated by mycolactone, a secreted exotoxin, that causes skin and soft tissue necrosis, and impaired immune response and tissue repair. Healing is slow, due to the delayed wash-out of mycolactone. An array of repurposed tuberculosis and leprosy drugs appears effective in vitro and in animal models. In clinical trials and observational studies, only rifamycins (notably, rifampicin), macrolides (notably, clarithromycin), aminoglycosides (notably, streptomycin) and fluoroquinolones (notably, moxifloxacin, and ciprofloxacin) have been tested. Expert opinion: A combination of rifampicin and clarithromycin is highly effective but lesions still take a long time to heal. Novel drugs like telacebec have the potential to reduce treatment duration but this drug may remain unaffordable in low-resourced settings. Research should address ulcer treatment in general; essays to measure mycolactone over time hold promise to use as a readout for studies to compare drug treatment schedules for larger lesions of Buruli ulcer

Developing Priorities for the Great Northern Landscape Conservation Cooperative: State Wildlife Action Plans (SWAP) as One Piece of Information

Landscape Conservation Cooperatives (LCCs) are public-private partnerships that focus on natural resource challenges which transcend political and jurisdictional boundaries and require a more holistic, collaborative, and adaptive approach to conservation that is firmly grounded in science and strives to ensure the sustainability of land, water, wildlife and cultural resources. The Great Northern LCC, covering Western Montana and parts of several other states and provinces, is nearing completion of a process that synthesizes conservation priorities among the 25 organizations represented on the Steering Committee and their partners. This Strategic Conservation Framework identifies priority species, ecosystems, and ecosystem processes across the landscape represented by the Great Northern LCC based on synthetic summarizations of five state-based Wildlife Action Plans, 40 other regional conservation planning documents, and focused interviews with key personnel across the region. Here we report on the process by which we analyzed data from the State Wildlife Action Plans (SWAPs) of ID, MT, OR, WA, and WY and from Strategic Habitat Conservation as one piece of information for strategic planning. Thirty-five species of greatest conservation need (as defined in the SWAPs) were identified as having commonality across the five states. The ranges of these species were then overlain and a map of areas with the greatest number of species of conservation need can be visualized across the Great Northern LCC

Computational Controversy

Climate change, vaccination, abortion, Trump: Many topics are surrounded by fierce controversies. The nature of such heated debates and their elements have been studied extensively in the social science literature. More recently, various computational approaches to controversy analysis have appeared, using new data sources such as Wikipedia, which help us now better understand these phenomena. However, compared to what social sciences have discovered about such debates, the existing computational approaches mostly focus on just a few of the many important aspects around the concept of controversies. In order to link the two strands, we provide and evaluate here a controversy model that is both, rooted in the findings of the social science literature and at the same time strongly linked to computational methods. We show how this model can lead to computational controversy analytics that have full coverage over all the crucial aspects that make up a controversy.Comment: In Proceedings of the 9th International Conference on Social Informatics (SocInfo) 201