A capacity-building platform for advancing biostatistics in Ethiopia, Kenya and Malawi

该提案的总体目标是开发一个自我维持的能力建设平台，以推进肯尼亚、马拉维和埃塞俄比亚的生物统计学方法学研究。这笔赠款将为肯尼亚内罗毕和基利菲的肯尼亚医学研究所威康信托研究项目（KEMRI-WTRP）、马拉维布兰太尔的马拉维-利物浦威康信托临床研究项目（MLW-CRP）和埃塞俄比亚阿瓦萨大学统计学系的全职生物统计学研究人员提供6个培训奖学金。我们选择合作伙伴的理由是，Hawassa拥有强大的统计学研究生课程，而KEMRI-WTRP和MLW-CRP提供与实质性公共卫生背景和专业知识相关的应用生物统计学环境。这六名研究员将被派往兰开斯特大学和剑桥大学，为期12个月，并将致力于发展先进的统计方法，其动机是三个实质性的全球卫生问题。该方案将使研究员成为多学科研究小组的组成成员，进一步发展他们在生物统计学方面的专门知识、统计学学科的教学技能和开发高质量统计文件软件的能力。这项建议的具体活动如下。兰开斯特大学和剑桥大学将提供地理空间统计方法和传染病数学建模方面的培训课程。这些课程将根据每位研究员的具体需要和项目量身定制。在项目期间，研究员还将设计新的统计学课程，在项目完成后在各自的研究所授课。这项工作将与PI和ci合作进行，他们将在编写新的教材和教育统计软件方面提供高质量的支助。该方案的核心精神是研究员和调查人员之间持续和强有力的相互作用，调查人员将同时担任项目主管和导师。

The overarching goal of this proposal is to develop a self-sustaining capacity building platform for advancing biostatistical methodology research in Kenya, Malawi and Ethiopia.The grant will sponsor six training fellowships for full-time employed researchers in biostatistics at the Kenya Medical Research Institute Wellcome Trust Research Programme (KEMRI-WTRP) in Nairobi and Kilifi (Kenya), the Malawi-Liverpool Wellcome Trust Clinical Research Programme (MLW-CRP) in Blantyre (Malawi) and the Department of Statistics of Hawassa University in Ethiopia. The rationale for our chosen partners is that Hawassa has a strong postgraduate programme in statistics while KEMRI-WTRP and MLW-CRP provide applied biostatistics environments linked to substantive public health context and expertise. The six Fellows will be placed in Lancaster University and Cambridge University for the duration of 12 months and will work on the development of advanced statistical methodology motivated by three substantive global health problems. The programme will enable the Fellows to operate as integral members of multi-disciplinary research teams by further development of their expertise in biostatistics, skills in teaching of statistical subjects and their ability to develop high-quality documented statistical software.The specific activities of this proposal are the following. Training courses in geospatial statistical methods and mathematical modelling of infectious diseases will be delivered by Lancaster and Cambridge. These courses will be tailored to the specific needs and projects of each Fellows. During the programme, the Fellows will also design new courses in statistics to be delivered at their respective institutes after completion of the project. This will be carried out in collaboration with the PI and CIs who will provide high quality support in the creation of new teaching material and educational statistical software. The core spirit of this programme is of a continuous and strong interaction between the Fellows and the investigators, who will act both as project supervisors and mentors.