In the context of modern civilization, the ecology of infectious disease cannot be described by interacting populations alone, as much of the mod-eling literature presumes. As a matter of first principle, formalisms and their statistical applications must account for the anthrosphere from which pathogens emerge. With that objective in mind, we first formally examine strategies for controlling outbreaks by way of environmental stochastic-ities human institutions help set. Using the Data Rate Theorem, we next explore disease control regimens under asymmetric conflicts between agribusiness interests rich in resources and State public health agencies and local communities constrained by those very resources. Military theory describes surprising successes in the face of such an imbalance, a result we apply here. Abduction points to strategies by which public health can defeat agribusinesses in its efforts to control agriculture-led pandemics, the heavy health and fiscal costs of which multinationals routinely pass off to the public.