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Dr Anwar Musah
Dr Anwar Musah profile picture
Appointment
  • Lecturer in Social and Geographic Data Science
  • Dept of Geography
  • Faculty of S&HS
Biography

Anwar Musah is a lecturer at UCL's Department of Geography. He has attained a PhD in Epidemiology and Public Health from the University of Nottingham, where his thesis explored the impacts of environmental exposure to harmful soil heavy metals and cancer risk in the British population. Broadly, his research interests focus on the application of statistical modelling, geospatial analysis and data science to public health and social sciences (with a regional focus on the Global South). His interdisciplinary background to date has led him to apply these primarily to areas of infectious disease epidemiology (e.g. cholera, COVID-19, soil-transmitted helminths & schistosomiasis) and medical entomology (e.g. surveillance of arboviruses in Brazil). He has a growing interest in areas of fire hazards & safety and quantitative criminology from an African perspective.

Research Themes
Research Summary

Anwar currently works on the MEWAR Project with UCL-IRDR's Centre for Digital Public Health & Emergencies (and with collaborators in Brazil and Turkey). The project aims to develop models for the spatial prediction of mosquito populations that transmit arboviruses in Brazil. The overarching goal is to integrate these predictions to an early warning system for areas with potential mosquito infestation which, in turn, can be used by Brazilian environmental agents for implementing vector control measures.

Teaching Summary

Anwar is the convenor for the following postgraduate module codes GEOG0114 (Principles of Spatial Analysis) & GEOG0125 (Advanced Topics in Social & Geographic Data Sciences) in the Department of Geography. From time to time, he guest lectures on the module code IRDR0004 (Data Analysis & Interpretation) at UCL's Institute for Risk & Disaster Reduction. He supervises (or co-supervise*) the following dissertations:


  • Internet of Things (IoT) based surveillance system for predicting areas of high-risk of mosquito infestation in Brazil* (PhD, 2020/present)
  • Spatial prediction of fire-related hazards in London (2019): a cross-sectional study (MSc, 2020/21)
  • Spatial-temporal analysis of dwelling fire and risk in England (MSc, 2019/20). 
  • Forecasting the burden of mosquito-borne arboviruses, using routine data from the Centre of Environmental Surveillance in Recife, Brazil (MSc, 2019/20)

Appointments
SEP-2021 Lecturer in Social & Geographic Data Sciences Department of Geography University College London, United Kingdom
JUN-2019 – AUG-2021 Research Fellow in Data Health Sciences Institute for Risk and Disaster Reduction University College London, United Kingdom
JAN-2018 – MAY-2019 Research Associate in Quantitative Criminology Department of Geography University College London, United Kingdom
MAY-2016 – DEC-2017 Research Assistant in Epidemiology & GIS Infectious Diseases and Control London School of Hygiene & Tropical Medicine, United Kingdom
OCT-2012 – OCT-2016 PhD Studentship Award Division of Epidemiology & Public Health University of Nottingham, United Kingdom
JAN-2012 – SEP-2012 Research Assistant in Epidemiology Division of Epidemiology & Public Health University of Nottingham, United Kingdom
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