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Foundation Member - Maseno University

Maseno University founded in 1991, is one of the seven public universities in Kenya, and so far the only university on the globe that lies along the Equator.

www.maseno.ac.ke


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Work published with BioMed Central, Chemistry Central and SpringerOpen by researchers at Maseno University

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1.

Research article   Open Access

Identification of a novel variant of LMP-1 of EBV in patients with endemic Burkitt lymphoma in western Kenya

Eric M Wohlford, Amolo S Asito, Kiprotich Chelimo, Peter O Sumba, Paul C Baresel, Rebecca A Oot, Ann M Moormann, Rosemary Rochford Infectious Agents and Cancer 2013, 8:34 (9 September 2013)

Abstract | Full text | PDF | PubMed

2.

Research   Open Access

Long term study on the effect of mollusciciding with niclosamide in stream habitats on the transmission of schistosomiasis mansoni after community-based chemotherapy in Makueni District, Kenya

Henry C Kariuki, Henry Madsen, John H Ouma, Anthony E Butterworth, David W Dunne, Mark Booth, Gachuhi Kimani, Joseph K Mwatha, Eric Muchiri, Birgitte J Vennervald Parasites & Vectors 2013, 6:107 (18 April 2013)

Abstract | Full text | PDF | PubMed |  Editor’s summary

This study compares reinfection of people by Schistosoma mansoni over a 4 year period after treatment with praziquantel between two areas, one where the chemotherapy was followed by regular mollusciciding in transmission sites (Intervention) and one where no other control measures were implemented after the initial chemotherapy (Non-intervention area). The study shows that mollusciciding significantly reduces reinfection. Image: Checking site for Biomphalaria pfeifferi.

3.

Research   Open Access Highly Accessed

Malaria hotspot areas in a highland Kenya site are consistent in epidemic and non-epidemic years and are associated with ecological factors

Kacey C Ernst, Samson O Adoka, Dickens O Kowuor, Mark L Wilson, Chandy C John Malaria Journal 2006, 5:78 (13 September 2006)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central |  Editor’s summary

In addition to developing early warning systems to predict epidemics, this study shows that the identification of the areas of highest risk, based on ecological risk factors, can be highly effective in reducing malaria transmission in the region.

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