Diseases transmitted between animals and people—which cause 60% of all human infectious diseases—are a ‘frontier issue’ at the second session of the United Nations Environment Assembly (UNEA2), being held this week and next at the United Nations Environment Programme (UNEP), in Nairobi, Kenya. Continue reading
Category Archives: Diagnostics
‘Soft’ science at ILRAD/ILRI: A lively look back at three decades of veterinary epidemiology for development
For almost thirty years, the International Laboratory for Research on Animal Diseases (ILRAD) then ILRI benefited from a strong research program in the epidemiological sciences. Over time, it progressively broadened its coverage in disease, disciplinary and geographic terms. The results of this work have now been assembled in this impact narrative, which carefully documents the wide range of issues addressed by the teams of researchers, and presents them in an illustrated and highly readable format. Continue reading
UK chief scientific adviser visits Kenya: Part 4—Development of a field-friendly diagnostic test for MERS
Among short presentations made to Sir Mark Walport, the UK chief scientific adviser, on his 15 Jul 2015 tour of the biosciences laboratories at the International Livestock Research Institute (ILRI), in Nairobi, Kenya, was one by Joerg Jores, a molecular biologist working to better control important livestock diseases of Africa and other developing regions. Jores is a senior scientist in ILRI’s Vaccine Biosciences program whose work supports the CGIAR Research Program on Livestock and Fish. Continue reading
New UK funding for disease surveillance will improve health and farming in Kenya
The University of Liverpool has been given funding to start a surveillance program to reduce the incidence of diseases transmitted between people and livestock in western Kenya. The £3.6 million grant will train veterinary and medical technicians to monitor farms, markets and slaughterhouses. They will use a mobile data collection system to generate a comprehensive database of the prevalence and economic impact of these diseases. The information generated will be used to provide evidence for government health policy in the area. Continue reading