The King Laboratory
of Theoretical Ecology & Evolution
at the University of Michigan


Never mind the length, feel the quality: the impact of long-term epidemiological data sets on theory, application and policy

P. Rohani and A. A. King
Trends in Ecology and Evolution 25(10): 611–618, 2010.
Time series of disease incidence display highly informative patterns.

Infectious diseases have been a prime testing ground for ecological theory. However, the ecological perspective is increasingly recognized as essential in epidemiology. Long-term, spatially resolved reliable data on disease incidence and the ability to test them using mechanistic models have been critical in this cross-fertilization. Here, we review some of the key intellectual developments in epidemiology facilitated by long-term data. We identify research frontiers at the interface of ecology and epidemiology and their associated data needs.


The official version of the paper is here.   Please contact Prof. King if you'd like a reprint.

© 2017 Aaron A. King
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