Simon Cousens MA DipMathStats

Professor of Epidemiology and Medical Statistics and Research Degrees Director

Background

Simon Cousens is a mathematician/statistician by training. Before joining LSHTM in 1985 he worked as a school teacher and as a statistician at the UK Department of Energy.

Affiliation

Centres

Teaching

He contributes to statistics and epidemiology teaching throughout the academic year and is co-organizer of the study module Statistical Methods in Epidemiology and the short course Causal Inference in Epidemiology.

Research

The main focus of my research over the past 20 years has been on child health in low income settings. In recent years I have had a strong focus on neonatal health. My work includes both field studies and work on estimating the burden of neonatal deaths by cause. Recent field research includes work on neonatal survival in Pakistan and Ethiopia, and on child survival in Burkina Faso. Currrent field research studies in Burkina Faso evaluating a breastfeeding promotion intervention and an evaluation of an electronic tool to improve health workers' adherence to the IMCI guidelines.  In addition to this work in low income settings, I was involved for many years on research into Creutzfeldt-Jakob disease in the UK, working closely with the National CJD Surveillance Unit in Edinburgh from its inception in 1990. Methodological work includes research into causal inference in epidemiology and into improving approaches to quantifying uncertainty in disease burden estimates.

Research areas

  • Behaviour change
  • Child health
  • Complex interventions
  • Modelling
  • Neonatal health
  • Perinatal health
  • Statistical methods

Disciplines

  • Epidemiology
  • Statistics

Disease and Health Conditions

  • CJD
  • Diarrhoeal diseases
  • Infectious disease
  • Malaria
  • Malnutrition

Regions

  • European Union
  • South Asia
  • Sub-Saharan Africa (developing only)

Countries

  • Burkina Faso
  • Ethiopia
  • Pakistan
  • United Kingdom

Other interests

  • Burden Of Disease
  • Causal Inference
  • Cause Of Death
  • Child Survival
  • Epidemiological Methods
  • MARCH
  • Neonatal Mortality
  • Neonatal Survival
  • Newborn Health
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