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UCL Home  /  Geography  /  People  /  Academic Staff  /  Anwar Musah

Anwar Musah

Anwar MusahContact: a.musah@ucl.ac.uk

 

 

 

 

 

 

 

 

 

 

 

 

 

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.

Tunali, M., Radin, A. A., Basibuyuk, S., Musah, A., Borges, I. V. G., Yenigun, O., et al. (2021). A review exploring the overarching burden of Zika virus with emphasis on epidemiological case studies from Brazil. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 28 (40), 55952-55966. doi:10.1007/s11356-021-15984-y

Todd, J., Musah, A., & Cheshire, J. (2021). Assessing the impacts of Airbnb listings on London house prices. Environment and Planning B: Urban Analytics and City Science, 239980832110018. doi:10.1177/23998083211001836

Silva, C. C. D., Lima, C. L. D., Silva, A. C. G. D., Moreno, G. M. M., Musah, A., Aldosery, A., et al. (2021). Forecasting Dengue, Chikungunya and Zika cases in Recife, Brazil: a spatio-temporal approach based on climate conditions, health notifications and machine learning. Research, Society and Development, 10 (12), e452101220804. doi:10.33448/rsd-v10i12.20804

Aldosery, A., Musah, A., Birjovanu, G., Moreno, G., Boscor, A., Dutra, L., et al., (2021). MEWAR: Development of a Cross-Platform Mobile Application and Web Dashboard System for Real-Time Mosquito Surveillance in Northeast Brazil. Frontiers in Public Health, 9. doi:10.3389/fpubh.2021.754072

Musah, A., Umar, F., Yakubu, K. N., Ahmad, M., Babagana, A., Ahmed, A., . . . Cheshire, J. A. (2020). Assessing the impacts of various street-level characteristics on the burden of urban burglary in Kaduna, Nigeria. Applied Geography, 114, 102126. doi:10.1016/j.apgeog.2019.102126

Elimian, K. O., Musah, A., Ochu, C. L., Mezue, S., Oyebanji, O., Yennan, S., . . . Ihekweazu, C. (2020). Identifying and quantifying the factors associated with cholera-related death during the 2018 outbreak in Nigeria. Pan African Medical Journal, 37. doi:10.11604/pamj.2020.37.368.20981

Elimian, K. O., Mezue, S., Musah, A., Oyebanji, O., Fall, I. S., Yennan, S., . . . Ihekweazu, C. (2020). What are the drivers of recurrent cholera transmission in Nigeria? Evidence from a scoping review. BMC Public Health, 20 (1), 432. doi:10.1186/s12889-020-08521-y

Musah, A., Rubio-Solis, A., Birjovanu, G., dos Santos, W. P., Massoni, T., & Kostkova, P. (2019). Assessing the Relationship between various Climatic Risk Factors & Mosquito Abundance in Recife, Brazil. Proceedings of the 9th International Conference on Digital Public Health - DPH2019. ACM Press. doi:10.1145/3357729.3357744

Elimian, K. O., Musah, A., Mezue, S., Oyebanji, O., Yennan, S., Jinadu, A., . . . Ihekweazu, C. (2019). Descriptive epidemiology of cholera outbreak in Nigeria, January-November, 2018: implications for the global roadmap strategy. BMC Public Health, 19 (1), 1264. doi:10.1186/s12889-019-7559-6

Rubio-Solis, A., Musah, A., P. Dos Santos, W., Massoni, T., Birjovanu, G., & Kostkova, P. (2019). ZIKA Virus: Prediction of Aedes Mosquito Larvae Occurrence in Recife (Brazil) using Online Extreme Learning Machine and Neural Networks. Proceedings of the 9th International Conference on Digital Public Health - DPH2019. ACM Press. doi:10.1145/3357729.3357738

Anwar currently works on the MEWAR Project in collaboration 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.

    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 supervised the following Master’s postgraduate dissertations:

    • 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)

    PhD students

    As second supervisor:

    Aisha Aldosery: Internet of Things (IoT) based surveillance system for predicting areas of high-risk of mosquito infestation in Brazil (PhD, 2020/present)