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Clear-Cutting Disease Control

Capital-Led Deforestation, Public Health Austerity, and Vector-Borne Infection

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  • © 2018

Overview

  • 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

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Table of contents (5 chapters)

Keywords

About this book

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 programs cannot, 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.

Authors and Affiliations

  • New York State Psychiatric Institute, Columbia University, New York, USA

    Rodrick Wallace

  • Programa de Investigación en Enfermedades Tropicales, Universidad Nacional, Heredia, Costa Rica

    Luis Fernando Chaves

  • Department of Geography, University of Washington, Seattle, USA

    Luke R. Bergmann

  • Instituto Oswaldo Cruz, Funação Oswaldo Cruz, Rio de Janeiro, Brazil

    Constância Ayres

  • Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands

    Lenny Hogerwerf

  • Pathobiology and Population Sciences, The Royal Veterinary College, Hatfield, United Kingdom

    Richard Kock

  • Institute for Global Studies, University of Minnesota, Minneapolis, USA

    Robert G. Wallace

About the authors

Rodrick Wallace, Division of Epidemiology, New York State Psychiatric Institute at Columbia University

Luis Fernando Chaves, Department of Vector Ecology and Environment, Institute of Tropical Medicine at Nagasaki University

Luke Bergmann, Department of Geography, University of Washington

Constância Ayres, Vice-Director, Fiocruz, Brazil

Lenny Hogerwerf, Centre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), The Netherlands

Richard Kock, Department of Pathology and Pathogen Biology, Royal Veterinary College, London

Robert G. Wallace, Institute for Global Studies, University of Minnesota

Bibliographic Information

  • Book Title: Clear-Cutting Disease Control

  • Book Subtitle: Capital-Led Deforestation, Public Health Austerity, and Vector-Borne Infection

  • Authors: Rodrick Wallace, Luis Fernando Chaves, Luke R. Bergmann, Constância Ayres, Lenny Hogerwerf, Richard Kock, Robert G. Wallace

  • DOI: https://doi.org/10.1007/978-3-319-72850-6

  • Publisher: Springer Cham

  • eBook Packages: Medicine, Medicine (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-72849-0Published: 05 March 2018

  • Softcover ISBN: 978-3-030-10277-7Published: 26 January 2019

  • eBook ISBN: 978-3-319-72850-6Published: 22 February 2018

  • Edition Number: 1

  • Number of Pages: X, 68

  • Number of Illustrations: 9 b/w illustrations, 5 illustrations in colour

  • Topics: Epidemiology, Public Health

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