2010
DOI: 10.1098/rsif.2010.0056
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Economically optimal timing for crop disease control under uncertainty: an options approach

Abstract: Severe large-scale disease and pest infestations in agricultural regions can cause significant economic damage. Understanding if and when disease control measures should be taken in the presence of risk and uncertainty is a key issue. We develop a framework to examine the economically optimal timing of treatment. The decision to treat should only be undertaken when the benefits exceed the costs by a certain amount and not if they are merely equal to or greater than the costs as standard net-present-value (NPV)… Show more

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Cited by 28 publications
(25 citation statements)
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References 27 publications
(41 reference statements)
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“…For instance, habitat fragmentation is often considered to affect in a negative way meta-populations of species of conservation interest, but could make dispersal of plant pathogens more difficult across the shifting distributional ranges of their old and new hosts (Margosian et al 2009), unless long-distance links are provided by plant trade ). This kind of trade-offs makes it important to involve economists in the formulation of plant health policy under uncertainty (Horan and Lupi 2010;Ndeffo Mbah et al 2010;Moore et al 2010;Bradford and D'Amato 2012).…”
Section: Interdisciplinarity Stakeholder Involvement and Trade-offsmentioning
confidence: 99%
“…For instance, habitat fragmentation is often considered to affect in a negative way meta-populations of species of conservation interest, but could make dispersal of plant pathogens more difficult across the shifting distributional ranges of their old and new hosts (Margosian et al 2009), unless long-distance links are provided by plant trade ). This kind of trade-offs makes it important to involve economists in the formulation of plant health policy under uncertainty (Horan and Lupi 2010;Ndeffo Mbah et al 2010;Moore et al 2010;Bradford and D'Amato 2012).…”
Section: Interdisciplinarity Stakeholder Involvement and Trade-offsmentioning
confidence: 99%
“…Optimal control models are now widely used in human and animal epidemiology, and are starting to emerge within forest epidemiology. Some examples include exploration of the optimal management strategies to detect (Mehta et al 2007) and control (Mbah et al 2010;Sims et al 2010;Lee and Lashari 2014) pathogens and pests. The benefit of an optimal control framework is that it combines the ecological, epidemiological and economic factors which all contribute to effective management decisions.…”
Section: Introductionmentioning
confidence: 99%
“…The many uncertainties about the epidemiology of P. ramorum make it important to consider the potential effects of uncertainty on plant epidemiological models which include economic factors (Ndeffo Mbah et al, 2010). Similar considerations have been made by Vàclavik et al (2010) in their study about prioritising P. ramorum detection efforts across landscapes differing in potential susceptibility.…”
Section: Options To Reduce Infestation and Magnitude Of Impact In Thementioning
confidence: 80%
“…In another paper, Ndeffo Mbah and Gilligan (2010b) incorporated economic factors in an epidemiological model of a pathogen able to infect two host species, with symmetric or asymmetric infection rates, a model motivated by the sudden oak death outbreaks in California. The many uncertainties about the epidemiology of P. ramorum make it important to consider the potential effects of uncertainty on plant epidemiological models which include economic factors (Ndeffo Mbah et al, 2010). Similar considerations have been made by Vàclavik et al (2010) in their study about prioritising P. ramorum detection efforts across landscapes differing in potential susceptibility.…”
Section: Options To Reduce Infestation and Magnitude Of Impact In Thementioning
confidence: 91%