Sumali Bajaj
Sumali Bajaj
Graduate
- Kraemer Lab, Clarendon and St Edmund Hall Scholarship, NERC Doctoral Training Partnership
I am interested in understanding the spatio-temporal spread of infectious diseases. More specifically I want to understand the different scales at which transmission occurs and role of different interventions at the various scales, by using epidemiological, spatial and genomic data. I've been involved with modelling of the spread SARS-CoV-2 and it's variants across the globe. In the past, I've used hierarchical Bayesian model-based methods for joint small area estimation of HIV prevalence and anti-retroviral therapy coverage at sub-national levels in Malawi. Followed by using methods such as hierarchical modelling analysing longitudinal cohort data and creating a clinical trial simulator for disease modifying therapies of Alzheimer’s disease.
Recent publications
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COVID-19 pandemic interventions reshaped the global dispersal of seasonal influenza viruses
Journal article
Chen Z. et al, (2024), Science, 386
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Routes of importation and spatial dynamics of SARS-CoV-2 variants during localised interventions in Chile
Preprint
Gutierrez B. et al, (2024)
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Understanding COVID-19 testing behaviour in England through a sociodemographic lens
Preprint
Bajaj S. et al, (2023)
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Genomic assessment of invasion dynamics of SARS-CoV-2 Omicron BA.1
Journal article
Tsui JL-H. et al, (2023), Science, 381, 336 - 343
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Trends and spatiotemporal patterns of arboviral spread in Mexico and Central America
Preprint
Gutierrez B. et al, (2023)