Literature DB >> 20597279

Management of infectious wildlife diseases: bridging conventional and bioeconomic approaches.

Eli P Fenichel1, Richard D Horan, Graham J Hickling.   

Abstract

The primary goal of disease ecology is to understand disease systems and then use this information to inform management. The purpose of this paper is to show that conventional disease ecology models are limited in their ability to inform management of systems that are already infected, and to show how such models can be integrated with economic decision models to improve upon management recommendations. Management strategies based solely on disease ecology entail managing infected host populations or reservoir populations below a threshold value based on R0, the basic reproductive ratio of the pathogen, or a multiple-host version of this metric. These metrics measure a pathogen's ability to invade uninfected systems and do not account for postinfection dynamics. Once a pathogen has invaded a population, alternative management criteria are needed. Bioeconomic modeling offers a useful alternative approach to developing management criteria and facilitates the consideration of ecological-economic trade-offs so that diseases are managed in a cost-effective manner. The threshold concept takes on a more profound role under a bioeconomic paradigm: rather than unilaterally determining disease control choices, thresholds inform control choices and are influenced by them.

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Year:  2010        PMID: 20597279     DOI: 10.1890/09-0446.1

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  9 in total

1.  Adaptive human behavior in epidemiological models.

Authors:  Eli P Fenichel; Carlos Castillo-Chavez; M G Ceddia; Gerardo Chowell; Paula A Gonzalez Parra; Graham J Hickling; Garth Holloway; Richard Horan; Benjamin Morin; Charles Perrings; Michael Springborn; Leticia Velazquez; Cristina Villalobos
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-28       Impact factor: 11.205

2.  Managing the Endogenous Risk of Disease Outbreaks with Non-Constant Background Risk.

Authors:  Kevin Berry; David Finnoff; Richard D Horan; Jason F Shogren
Journal:  J Econ Dyn Control       Date:  2014-10-02

3.  Managing dynamic epidemiological risks through trade.

Authors:  Richard D Horan; Eli P Fenichel; David Finnoff; Christopher A Wolf
Journal:  J Econ Dyn Control       Date:  2015-04-01

4.  Merging economics and epidemiology to improve the prediction and management of infectious disease.

Authors:  Charles Perrings; Carlos Castillo-Chavez; Gerardo Chowell; Peter Daszak; Eli P Fenichel; David Finnoff; Richard D Horan; A Marm Kilpatrick; Ann P Kinzig; Nicolai V Kuminoff; Simon Levin; Benjamin Morin; Katherine F Smith; Michael Springborn
Journal:  Ecohealth       Date:  2014-09-19       Impact factor: 3.184

5.  The social benefits of private infectious disease-risk mitigation.

Authors:  Benjamin R Morin; Charles Perrings; Ann Kinzig; Simon Levin
Journal:  Theor Ecol       Date:  2015-04-17       Impact factor: 1.432

6.  A Framework for Modeling Emerging Diseases to Inform Management.

Authors:  Robin E Russell; Rachel A Katz; Katherine L D Richgels; Daniel P Walsh; Evan H C Grant
Journal:  Emerg Infect Dis       Date:  2017-01       Impact factor: 6.883

7.  Economic epidemiology of avian influenza on smallholder poultry farms.

Authors:  Maciej F Boni; Alison P Galvani; Abraham L Wickelgren; Anup Malani
Journal:  Theor Popul Biol       Date:  2013-10-23       Impact factor: 1.570

Review 8.  The Wild Side of Disease Control at the Wildlife-Livestock-Human Interface: A Review.

Authors:  Christian Gortazar; Iratxe Diez-Delgado; Jose Angel Barasona; Joaquin Vicente; Jose De La Fuente; Mariana Boadella
Journal:  Front Vet Sci       Date:  2015-01-14

9.  Economic Incentives in the Socially Optimal Management of Infectious Disease: When [Formula: see text] is Not Enough.

Authors:  B R Morin; A P Kinzig; S A Levin; C A Perrings
Journal:  Ecohealth       Date:  2017-09-29       Impact factor: 3.184

  9 in total

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