Infectious Disease Ecology Overview

Principles

Definition

Infectious disease ecology is an interdisciplinary research field that applies ecological principles to investigate the complex interactions between pathogens, hosts, and their environments. This approach is significant for understanding disease transmission dynamics, predicting outbreaks, and informing control and prevention strategies across diverse biological systems.

Ontological type

Transmission Dynamics

Host–Pathogen–Environment Systems

Core Concepts

Key developments

Key Figures

Eco-evolutionary Modeling era

Roy M. Anderson [1] was a leading figure in infectious disease ecology during the Eco-evolutionary Modeling era, with affiliations at Weizmann Institute of Science [3] and Princeton University [4]. His 1979 paper Population biology of infectious diseases: Part I [6] helped formalize early mathematical frameworks for disease transmission, highlighting threshold phenomena and the influence of host demography, which established a quantitative toolkit for eco-evolutionary modeling. Robert M. May [2] was another central figure in this period, with ties to Princeton University [4] and the University of Cambridge [5]. The same Population biology of infectious diseases: Part I [6] paper, associated with May's contributions, helped integrate population ecology and epidemiology, advancing threshold concepts and stochastic–deterministic modeling that underpinned the era's quantitative infectious disease ecology.

Spatial-Climate Epidemiology era

Andrew A. Cunningham [1] is a key figure in the Spatial-Climate Epidemiology era, with affiliations to the University of Cambridge [2] and Emory University [3]. His contributions in this era include the analysis of plant disease emergence driven by climate change and agrotechnology, as outlined in the 2004 paper Emerging infectious diseases of plants: pathogen pollution, climate change and agrotechnology drivers [4], which showed how climate variability and human practices shape pathogen spread and outbreaks. This work helped justify region-to-region risk assessment and the integration of climate data into disease forecasting within spatially explicit models. Overall, the era's emphasis on climate connectivity and landscape heterogeneity found a concrete early example in this plant-disease analysis, underscoring the value of environment-informed prioritization for surveillance and control.

Climate-Informed One Health era

David B. Lindenmayer [1] is a leading figure in climate-informed One Health and infectious disease ecology, drawing on positions at the University of California, Santa Cruz [3] and The University of Queensland [4]. His key contributions in this era center on integrating biodiversity science with disease ecology to forecast spillover risks and to inform anticipatory surveillance and conservation strategies, as highlighted by the 2019 paper Amphibian fungal panzootic causes catastrophic and ongoing loss of biodiversity [7]. Lee F. Skerratt [2] is affiliated with the University of Wisconsin–Madison [5] and The University of Melbourne [6], contributing to the same climate-informed One Health agenda. His work on the Amphibian fungal panzootic [7] underscores the role of infectious disease ecology in shaping biodiversity persistence and informs integrative surveillance and policy-oriented interventions within predictive systems.