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Examining the spatio-temporal patterns of diarrhoeal disease incidence from routinely collected clinical data

Project Description

A fully funded studentship awarded by the Economic and Social Research Council (ESRC) South Coast Doctoral Training Partnership (SCDTP) commencing in 2020/21 Academic Year.

This project aims to quantify spatio-temporal dynamics of diarrhoeal disease in East Africa, using Kenya as a case study. Data collected at health facilities routinely will be used, thereby informing disease prevention interventions and developing approaches to analysing such data. Initially, the project will collate and evaluate secondary data concerning diarrhoeal diseases and underlying risk factors, such as climate variability. By developing models of attendance at public health facilities from household survey data, the project will estimate population denominators for health facilities, using these to examine spatio-temporal patterns in reported cholera incidence. The project will be supported by close collaboration with the Kenya Medical Research Institute and Ministry of Health.

Skills Required

The student would be expected to develop data science skills or have skills in data curation, including via GIS, household survey and census analysis (for construction of attendance models) and spatio-temporal analysis. The project would be suited to a candidate with prior knowledge of spatial analysis (for example using GIS), epidemiology, or social statistics.

Application Procedure

The closing date and time for applications is 4.00pm on 23rd January 2020. The full application procedure, the funding application form, and more information on the South Coast Doctoral Training Partnership can be found at: http://southcoastdtp.ac.uk/apply/

For further information about this project, please contact the lead supervisor detailed above. For questions relating to the application procedure, or for more information about the SCDTP, please visit the SCDTP website or contact us at

Funding Notes

Funding provides an annual maintenance grant (tax free) of £15009 (2019/20 UKRI rate), plus payment of all programme fees. Other funding available for SCDTP funded students can be found at View Website.

Funding is for 3 years full-time PhD study (pro-rata for part-time students). Applications for 1+3 funding for students completing a Master's year prior to the commencement of PhD study are also welcome (details available at View Website).

Residential Eligibility

We are able to recruit a limited number of overseas and EU students in Economics or Advanced Quantitative Methods. In all other areas, students must be considered as UK resident.

Related Subjects

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FTE Category A staff submitted: 32.00

Research output data provided by the Research Excellence Framework (REF)

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