Impact of decentralized decision making on access to cholera treatment in Haiti

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dc.contributor.author Moore, Brian D.
dc.date.accessioned 2012-06-07T15:01:47Z
dc.date.available 2012-06-07T15:01:47Z
dc.date.issued 2012-06-07
dc.identifier.uri http://hdl.handle.net/2097/13919
dc.description.abstract In many humanitarian and public health settings, multiple organizations act independently to locate facilities to serve an affected population. As a result of this decentralized decision-making environment, individuals’ access to facility resources may suffer in comparison to a hypothetical system in which a single planner locates the facilities to optimize access for all. Furthermore, due to the unanticipated nature of humanitarian events and the urgency of the need, responders often must cope with a high level of uncertainty regarding the future supply of resources and demand for relief. The contributions of this thesis address the challenges that arise due to the decentralized and dynamic nature of humanitarian response. The first goal of this research is to quantify the difference between decentralized system performance and that possible with a centralized planner. The second goal is to demonstrate the value and feasibility of using a dynamic, rolling-horizon framework to optimize facility location decisions over time. This work compares individuals’ access to health facilities resulting from location decisions made by decentralized decision-makers to the access achieved by a centralized model that optimizes access for all. Access is measured using a special case of the gravity model, the Enhanced Two-Step Floating Catchment Area (E2SFCA) method, which is a distance-weighted ratio of capacity to demand. The E2SFCA method is integrated with integer programming to optimize public access to health facilities. This method is applied to the location of cholera treatment facilities in Haiti, which has been afflicted with a cholera epidemic since October 2010. This research finds that access varied significantly across Haiti, and in the month of February 2011, thirty-seven of the 570 sections, representing 474,286 persons (4.8 percent of the population), did not have adequate access to cholera treatment facilities. Using centralized models to optimize accessibility, performance can be improved but no single model is dominant. This paper recommends use of an efficiency-oriented model in conjunction with an equity constraint to make facility location decisions in future responses. Finally, this work successfully integrates measures of access and equity into a rolling-horizon facility location model and demonstrates that these measures can be incorporated in a full-scale implementation to provide dynamic decision support to planners. This paper advocates for greater awareness of the impact of decentralization in humanitarian response and recommends that future work be undertaken to discover incentives and strategies to mitigate the impact of decentralization in future responses. en_US
dc.language.iso en_US en_US
dc.publisher Kansas State University en
dc.subject Decentralized decision-making en_US
dc.subject Facility location en_US
dc.subject Accessibility en_US
dc.subject Equity en_US
dc.subject Haiti en_US
dc.title Impact of decentralized decision making on access to cholera treatment in Haiti en_US
dc.type Thesis en_US
dc.description.degree Master of Science en_US
dc.description.level Masters en_US
dc.description.department Department of Industrial & Manufacturing Systems Engineering en_US
dc.description.advisor Jessica L. Heier Stamm en_US
dc.subject.umi Engineering (0537) en_US
dc.subject.umi Geographic Information Science and Geodesy (0370) en_US
dc.subject.umi Industrial Engineering (0546) en_US
dc.subject.umi Operations Research (0796) en_US
dc.subject.umi Public Health (0573) en_US
dc.date.published 2012 en_US
dc.date.graduationmonth August en_US


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