Clear-Cutting Disease Control

Beschreibung

The vector-borne Zika virus joins avian influenza, Ebola, and yellow fever as recent public health crises threatening pandemicity.By a combination of stochastic modeling and economic geography, this book proposes two key causes together explain the explosive spread of the worst of the vector-borne outbreaks.Ecosystems in which such pathogens are largely controlled by environmental stochasticity are being drastically streamlined by both agribusiness-led deforestation and deficits in public health and environmental sanitation.Consequently, a subset of infections that once burned out relatively quickly in local forests are now propagating across susceptible human populations whose vulnerability to infection is often exacerbated in structurally adjusted cities. The resulting outbreaks are characterized by greater global extent, duration, and momentum.As infectious diseases in an age of nation states and global health programscannot, as much of the present modeling literature presumes, be described by interacting populations of host, vector, and pathogen alone, a series of control theory models is also introduced here. These models, useful to researchers and health officials alike, explicitly address interactions between government ministries and the pathogens they aim to control.

Uses mathematical models that make clear the role of land use patterns in the onset and spread of vector-borne disease

Provides a new class of ‘regression equation like’ statistical models that can be fitted to data

Applies control theory to vector-borne infection, making clear the central role that public policy plays in the onset and/or control of disease

Autor*in

Rodrick Wallace

Themen in »Clear-Cutting Disease Control«

malaria Zika commerical agriculture Ross-MacDonald Model stochastic stabilization neoliberal Data Rate theorem vector-borne infection deforestation

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