While the impact of obesity on chronic disease has been widely examined, there has been less research regarding the influence of obesity on infectious diseases, particularly respiratory diseases. This exploratory research uses the currently available data on COVID‐19 cases and mortality, along with estimates of the morbidly obese populations in the United States by county, to examine the association between morbid obesity and deaths from COVID‐19 and to identify potential coincident spatial clusters of morbid obesity and COVID‐19 deaths. Results indicate a statistically significant positive correlation between population‐adjusted COVID‐19 deaths and cases and the estimated population with a body mass index ≥ 40. Clustering analyses show there is a predominant similarity in the distribution of COVID‐19 deaths and obesity. Our findings suggest it is critical to include an awareness of obesity when developing infectious disease control measures and point to a greater need to focus resources toward obesity education and policy initiatives.
Long-standing federal drug-control policy aims to reduce the flow of narcotics into the USA, in part by intercepting cocaine shipments en route from South American production regions to North American consumer markets. Drug interdiction efforts operate over a large geographic area, containing complex drug trafficking networks in a dynamic environment. The extant interdiction models in the operations research and location science literature do not realistically model the objectives of and constraints on the interdiction forces, and therefore counterdrug organizations do not employ those models in their decisionmaking processes. This article presents three new models built on the maximal covering location problem (MCLP): the maximal covering location problem for interdiction (MCLP-I), multiple-demand maximal covering location problem (MD-MCLP), and multiple-type maximal covering location problem (MT-MCLP). These are novel formulations that permit multiple types of demands and facilities to be covered, and the utility of these formulations is demonstrated in the context of counterdrug operations. Optimal
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