Understanding the Impact of Climate Change on Infectious Disease Dynamics
Lead Researcher: Dr Paul Parham
The effects of climate change on human health have attracted increasing attention in recent years and it is widely expected to significantly affect the global spread, intensity and distribution of infectious diseases. Linking global and regional climate models with mathematical (and statistical) models of disease transmission provides a valuable tool towards improving and quantifying our understanding of how future changes in environmental drivers may affect disease dynamics.
This research aims to develop conceptual frameworks for modelling, analysing and evaluating the potential impact of global change on disease transmission. Of considerable interest is the question of whether changes in climatic variables may be reliably used to predict the spatiotemporal incidence of diseases such as malaria, dengue and schistosomiasis. Thus, as well as evaluating the long-term prospects for disease, this programme also aims to assess the use of seasonal climate data to develop early-warning systems using methods such as data assimilation used in weather and climate forecasting.
In addition, understanding, quantifying and improving our knowledge regarding key uncertainties in disease transmission, climate modelling and the interaction between the two is vital if we are to better understand the challenges that lie ahead and the implications for mitigation, adaptation and control.
- Parham PE; Christiansen-Jucht C; Pople D; Michael E. Understanding and Modelling the Impact of Climate Change on Infectious Diseases – Progress and Future Challenges. In Climate Change. Kheradmand H (ed). InTech (Jul 2011).
- Parham PE; Michael E. (Feb 2011). Outbreak Properties of Epidemic Models: The Roles of Temporal Forcing and Stochasticity on Pathogen Invasion Dynamics. J Theor Biol. 271:1-9.
- Parham PE; Michael E. (May 2010). Modeling the Effects of Weather and Climate Change on Malaria Transmission. Environ Health Persp. 118:620-626.