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About Dr Rachael Reynolds

My current research applies geographical information systems (GIS), remote sensing and modelling to examine the changing spatial epidemiology of malaria in Tanzania with a view to informing policy and decision makers in health.

Professional affiliations:

Fellow RGS, Associate Fellow RMET, Associate Fellow HEA, Member RSTMH, Member RSPSoc.


Teaching as of year 2018-2019:

  • GE4004: Tutorials (Tutor)
  • GE5006: Tutorials (Tutor)
  • GE5013: Researcher development with Geomatics
  • GE6009: Remote sensing and GIS (Module leader)



My research interests focus predominantly on analysing the impact of climate and environmental changes on the geographies of health.  

My recently completed research examines the relationships between climate, environment and disease through the use of GIS and predictive modelling. Tanzania possesses complex climatological and topographical features, which results in Tanzania being the 6th largest contributor to the global burden of malaria, a disease which remains the greatest killer of women and children under five. This project examined the impact of extreme climate events, such as El Niño on the Tanzanian climate, continuing to develop a new, uniquely weighted environmental malaria risk model. This model allowed for predictive modelling of the spatial distribution of malaria risk at present, 2050 and 2070. Biological epidemiological modelling was also performed, validating the developed model and demonstrating changes in biological parameters assessed to examine what stages of the malaria cycle are most impacted by predicted climate and environmental change. The importance of human factors were recognised and included in this study, with socioeconomic and policy being in the context of malaria distribution and consideration given to decision makers. One paper has been published from this research (see publications) with more papers currently being written for publication. 

Published Work

Reynolds, R., Cavan, G. and Cresswell, M. (2017) ‘The local response of El Niño events and changing disease distribution in Tanzania.’ Weather, 72(7) pp. 206–215.

(Available at:


  • PhD, Manchester Metropolitan University
  • BSc, Manchester Metropolitan University