An integrated integer programming and forecasting model with geographic information systems for spray operations of West Nile disease insecticides

Hokey Min , Emanuel Melachrinoudis
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Abstract

Public health agencies and medical organizations have increased their relentless efforts to control the outbreaks of mosquitoes causing West Nile disease epidemics with the re-emergence of deadly disease in the United States. Such measures include a large-scale spray operation of insecticides that can counter the population growth of mosquitoes. This study proposes a business analytics tool that helps determine the optimal number and location of airfields housing insecticide-spraying aircraft, the type (mode) and the number of insecticide-spraying airplanes, and their flight patterns. This study also identifies factors that can enhance and hinder the efficiency of insecticide spray operations by combining a bi-objective integer programming model with a geographic information system and forecasting models within a business analytics framework for the first time.

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基于地理信息系统的西尼罗病杀虫剂喷洒作业集成整数规划与预测模型
随着致命疾病西尼罗河病在美国重新出现,公共卫生机构和医疗组织加大了控制蚊子爆发的不懈努力。这些措施包括大规模喷洒杀虫剂,以抑制蚊子数量的增长。本研究提出了一种商业分析工具,可以帮助确定喷洒杀虫剂飞机的最佳机场数量和位置,喷洒杀虫剂飞机的类型(模式)和数量,以及它们的飞行模式。本研究还首次将双目标整数规划模型与地理信息系统和商业分析框架内的预测模型相结合,确定了可以提高和阻碍杀虫剂喷洒操作效率的因素。
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