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Research project

Novel Bayesian Time Series Regression Methods For Estimating National Immunization Coverage

Staff

Lead researcher

Professor Andrew Tatem

Personal Chair

Research interests

  • Developing approaches to map population distributions, demographics and dynamics through complementing traditional datasources (census, survey, registries) with new forms of geospatial data from e.g. satellite imagery and mobile devices.
  • Understanding the drivers of small area heterogeneities in population health and development in low and middle income settings.
  • The use of high resolution demographic and mobility data for improving understanding and modelling of pathogen dynamics.
Other researchers

Professor Sujit Sahu

Professor of Statistics

Research interests

  • Applied Bayesian modelling
  • Bayesian computation
  • Spatio-temporal data modelling

Collaborating research institutes, centres and groups

Statistical Sciences Research Institute (S3RI)

We use statistics and demography methodologies to improve the way data is used.

Statistics

Our research is focussed on three themes: design and analysis of experiments, statistical modelling, and biostatistics. As part of the Southampton Statistical Sciences Research Institute (S3RI), we have close links with statisticians and stochastic modellers across the University, especially those in the Division of Social Statistics and Demography.

WorldPop

We develop and implement open, robust and peer-reviewed geospatial methods. These are used for mapping population distributions, demographics and dynamics, with a principle focus on low and middle income countries.
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