UK-Africa Postgraduate Advanced Study Institute in Mathematical Sciences (UK-APASI)

英国-非洲数学科学研究所 (UK-APASI)

• 批准号: EP/T00410X/1
• 负责人: Anotida Madzvamuse
• 金额: $ 19.89万
• 依托单位: University of Sussex
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FT00410X%2F1
• 关键词: UK; Africa; Postgraduate; Advanced; Study

The research consortium between, the UK, Africa and other interested partners seeks to provide innovative mathematical solutions to fundamental global problems and questions faced by the Sub-Saharan African (SSA) region (Angola, Botswana, Lesotho, Malawi, Mozambique, Namibia, South Africa, Swaziland, Tanzania, Zambia and Zimbabwe). The statistics are overwhelmingly clear: (i) The top five killer-diseases in Africa are HIV/AIDS, lower respiratory tract infections including Tuberculosis, diarrhoea diseases (linked to water borne diseases and poor sanitation), malaria and strokes; (ii) Despite significant investments, crime activities (murder, sexual offences, assault, robbery, hijacking of cars, etc.) in Southern Africa, particularly in South Africa, continue to be of national and international concern;(iii) Governments and National Parks across SSA are faced with significant challenges in designing efficient methods for wild-life management and conservation;(iv) Almost 80 percent of faculty staff in Departments of Mathematics at Universities across SSA hold at most a Masters degree and in some cases, many senior faculty staff members do not possess a PhD. The figures are astonishingly depressing particularly for Historically Disadvantaged Institutions.Our mission is to offer alternative research-led quantitative solutions to these global challenges by carrying out interdisciplinary and inter-institutionally research in mathematical sciences focusing on six key research strands:(1) Infectious Tropical Diseases: Towards disease control policies supported by scientific evidence theory; (2) Mathematical Modelling of Biological Systems: From data to models and back; (3) Numerical Analysis and High Performance Scientific Computing; (4) Crime Modelling in Sub-Saharan Africa; (5) Mathematics for Public Policy and (6) Statistical Methods for Data Analysis, Model and Parameter Estimation. Outcomes of our programme include (i) innovative quantitative solutions based on rigorous mathematical theories, (ii) training of a new generation of young African scientists agile and competent in skills for model building, validation, interpretation, and communicating modelling results to policy makers, and (iii) influence government and non-governmental organisations through rigorously tested scientific methods and solutions. The mode for delivery of these research activities is through one Postgraduate Advanced Study Institute in Mathematical Sciences and two intensive Workshop Series aimed at training the future leaders of Africa on the latest state-of-the-art mathematical, numerical and statistical methods that allow them to derive new models from data, carry out rigorous mathematical and numerical analysis and then to complete the full research cycle, fit the models and parameters to data by use of rigorous statistical methods. This allows the researchers to select from a wide range of models based on different biological assumptions and their mathematical translations, the best model that fits data and be able to carry out parameter estimation under these conditions. We will partner with the Southern Africa Mathematical Sciences Association (SAMSA) and MASAMU program to deliver our research and pedagogical activities (see letters of support from both). SAMSA represents over 40 Universities across SSA and hosts an annual conference to which many of the SSA researchers are in attendance. One of the postgraduate advanced study institute and workshop will revolve around the SAMSA annual conference in order to reach a wider community beyond that supported by this proposal. The MASAMU program, funded primarily by the National Science Foundation for USA faculty staff only, will complement our research and training activities.

英国、非洲和其他感兴趣的合作伙伴之间的研究联盟旨在为撒哈拉以南非洲地区（安哥拉、博茨瓦纳、莱索托、马拉维、莫桑比克、纳米比亚、南非、斯威士兰、坦桑尼亚、赞比亚和津巴布韦）面临的基本全球问题提供创新的数学解决方案。统计数字非常清楚：㈠非洲的五大传染病是艾滋病毒/艾滋病、下呼吸道感染，包括肺结核、腹泻病（与水传播疾病和卫生条件差有关）、疟疾和中风; ㈡尽管有大量投资，但犯罪活动（谋杀、性犯罪、攻击、抢劫、劫持汽车等）仍然存在。在南部非洲，特别是在南非，野生动物保护仍然是国家和国际关注的问题;（三）撒南非洲各国政府和国家公园在设计有效的野生动物管理和保护方法方面面临重大挑战;（四）撒哈拉以南非洲各大学数学系近80%的教职员工最多拥有硕士学位，在某些情况下，许多高级教员没有博士学位。我们的使命是通过开展数学科学的跨学科和机构间研究，为这些全球性挑战提供替代研究主导的定量解决方案，重点是六个关键研究领域：（1）传染性热带疾病：以科学证据理论支持的疾病控制政策;（2）生物系统的数学建模：从数据到模型再到模型;（3）数值分析和高性能科学计算;（4）撒哈拉以南非洲的犯罪建模;（5）公共政策数学和（6）数据分析、模型和参数估计的统计方法。我们计划的成果包括：（一）基于严格数学理论的创新定量解决方案;（二）培养新一代非洲青年科学家，他们敏捷而有能力掌握模型构建，验证，解释和向决策者传达建模结果的技能;以及（三）通过严格测试的科学方法和解决方案影响政府和非政府组织。开展这些研究活动的模式是，通过一个数学科学高级研究生院和两个密集的系列讲习班，旨在培训非洲未来的领导人掌握最新的最先进的数学、数值和统计方法，使他们能够从数据中推导出新的模型，进行严格的数学和数值分析，然后完成整个研究周期，使用严格的统计方法将模型和参数与数据拟合。这使研究人员能够从基于不同生物学假设及其数学翻译的各种模型中选择最适合数据的模型，并能够在这些条件下进行参数估计。我们将与南部非洲数学科学协会（SAMSA）和MASAMU计划合作，以提供我们的研究和教学活动（见支持信）。SAMSA代表了整个SSA的40多所大学，并主办了一次年度会议，许多SSA研究人员都出席了会议。其中一个研究生高级研究所和研讨会将围绕SAMSA年度会议，以达到更广泛的社区超出了这一建议的支持。该MASAMU计划，主要由美国国家科学基金会资助的教职员工只，将补充我们的研究和培训活动。

项目成果

An integrated framework for quantifying immune-tumour interactions in a 3D co-culture model.

• DOI: 10.1038/s42003-021-02296-7
• 发表时间: 2021-06-24
• 期刊: Communications biology
• 影响因子: 5.9
• 作者: Al-Hity G;Yang F;Campillo-Funollet E;Greenstein AE;Hunt H;Mampay M;Intabli H;Falcinelli M;Madzvamuse A;Venkataraman C;Flint MS
• 通讯作者: Flint MS

Virtual element method for elliptic bulk-surface PDEs in three space dimensions

三维空间椭圆体表面偏微分方程的虚元法

• DOI: 10.1002/num.23040
• 发表时间: 2023
• 期刊: Numerical Methods for Partial Differential Equations
• 影响因子: 3.9
• 作者: Frittelli M

Understanding how to build a social licence for using novel linked datasets for planning and research in Kent, Surrey and Sussex: results of deliberative focus groups.

• DOI: 10.23889/ijpds.v5i3.2114
• 发表时间: 2020
• 期刊: INTERNATIONAL JOURNAL OF POPULATION DATA SCIENCE (IJPDS)
• 作者: Ford, Elizabeth;Rees-Roberts, Melanie;Stanley, Kathryn;Goddard, Katie;Giles, Sarah;Armes, Jo;Ikhile, Deborah;Madzvamuse, Anotida;Spencer-Hughes, Victoria;George, Abraham;Farmer, Chris;Cassell, Jackie
• 通讯作者: Cassell, Jackie

Predicting and forecasting the impact of local outbreaks of COVID-19: use of SEIR-D quantitative epidemiological modelling for healthcare demand and capacity.

• DOI: 10.1093/ije/dyab106
• 发表时间: 2021-08-30
• 期刊: International journal of epidemiology
• 影响因子: 7.7
• 作者: Campillo-Funollet E;Van Yperen J;Allman P;Bell M;Beresford W;Clay J;Dorey M;Evans G;Gilchrist K;Memon A;Pannu G;Walkley R;Watson M;Madzvamuse A
• 通讯作者: Madzvamuse A

Challenges Encountered and Lessons Learned when Using a Novel Anonymised Linked Dataset of Health and Social Care Records for Public Health Intelligence: The Sussex Integrated Dataset

• DOI: 10.3390/info14020106
• 发表时间: 2023-02-01
• 期刊: INFORMATION
• 影响因子: 3.1
• 作者: Ford，Elizabeth;Tyler，Richard;Rees-Roberts，Melanie
• 通讯作者: Rees-Roberts，Melanie