A conceptual disease cycle model to link the size of past and future epidemics

Populations of humans, animals, and plants face ongoing threats from
infectious disease epidemics. While host–parasite coevolution plays a
central role in shaping these dynamics, epidemics are often studied in
isolation. I propose a simple ‘Disease Cycle’ model that connects past and
future epidemic sizes within the context of environmental change and
evolutionary feedbacks. Drawing on recent evo-epidemiological research, I
highlight three key themes: (i) how epidemics influence the strength and
direction of natural selection, (ii) how host and parasite diversity shift
through evolving resistance and infectivity, and (iii) how genetic
diversity in either population may affect future epidemic severity.
Although gaps remain, current evidence supports this integrative model.
Future research should explore how the Disease Cycle applies to non-model
organisms with low coevolutionary potential. This framework encourages a
more holistic view of epidemics as dynamic outcomes of host–parasite
coevolution.