"I am a theoretical ecologist interested in
population and community dynamics."
Research in my lab is primarily on infectious diseases
whose dynamics are environmentally driven, such as
cholera and malaria, for example on the role of climate
variability and climate change.
We are also interested in the interplay of ecological
and evolutionary dynamics in infectious diseases, and
the related questions of the origin and consequences of
A second main theme in the lab is on ecological networks of species interactions, known as food webs.
In food webs, the nodes are the species and the links represent interactions between species. We are exploring patterns in the structure of these large networks,
as well as models that can generate these structures and help us understand their biological basis. We are interested in the relationship between structure and dynamics
in food webs, with the goal of better understanding what underlies the ‘stability’
of ecological communities.
Both infectious diseases and food webs are examples of complex ecological systems. They are both systems of consumer-resource interactions, between predator and prey, host and pathogens, pathogens and the immune system. They both involve nonlinear interactions (whose per-capita rates depend on the state of the system itself) and many components.
They can respond to perturbations in ways that defy simple correlative analyses,
and they raise many interesting challenges to the understanding of their temporal
and spatial patterns, especially on the level of detail that one should incorporate in mathematical or computational models for the purposes of both understanding and prediction.
Photo courtesy of Foodwebs.org
A third general theme is the relationship between ecological dynamics at different spatial or organizational scales. We are interested in approaches to scale-up systems for consumer-resource interactions from small, individual, levels to more aggregated, population, levels, and to develop simple models for the aggregated dynamics of complex ecological systems. We have been working on spatio-temporal systems for the propagation of disease (predation or disturbance) that exhibit critical transitions and generate spatial (fractal) patterns over a broad range of scales.
Our work relies on a variety of extensive data sets, from long time series on disease levels that span decades, to large empirical food webs, and pathogens’ sequence data in time and space. The diseasework involves international collaborations with public health and research partners. On the theoretical front, we use mathematical models, but also computational and statistical approaches that bridge the gap between data and models.
Allesina, Bodini, & Pascual
Phil. Trans. R. Soc. London B. 2009
The population dynamics of endemic cholera in Bangladesh: retrospective under-
standing of interannual variability and prospective prediction based on climate
variability (including Sea Surface Temperatures---for the El Niño Southern
Oscillation or ENSO---and regional variables that mediate the local effect of this
remote ocean forcing).
The population dynamics of epidemic cholera currently in Africa and historically
in formerBritish India. Commonalities with forest fire dynamics.
The population dynamics of epidemic malaria in desert fringes of NW India: the
role of climate variability and its interplay with land-use and socio-economic factors,
with the goal ofdeveloping an early-warning system for this region.
Epidemic malaria and climate change: retrospective studies in E. African highlands
in recent decades with dynamical models of disease transmission.
- Pathogen(antigenic) diversity in malaria: origin and influence as related to within-
host and between-host population dynamics.
- Interpandemic influenza: evolutionary and ecological dynamics.
- Food webs: models of structure and relationship between structure and ‘stability.’