Network planning of walk-in clinics on roadsides in africa

Download
2013
Taymaz, Sine
This study discusses the problem of finding the optimal location of “walk-in clinics” specialized in healthcare along the transportation lines that would enable maximum coverage along the roads for the mobile populations and their related local communities. As the mobile populations are flowing on the routes unremittingly, the problem differs from other location problems. Every member of the mobile population would require a specialized service for their diseases and needs to access these services in a continuous manner along the roads, without any disruption. Therefore, the location of clinics should be adapted regarding these requirements and maximum continuum of care should be ensured for the demand populations. Additionally, as a results of the uncertain nature of the mobile demand, the risk associated with the lack of continuum of care provided to the population is an important component in the problem. While ensuring maximum level of continuum of care, the risk involved in the transportation lines which appears as a variation in mobile demand should not be overlooked. Problem has been solved with the idea emerging from flow interception and coverage problems. Aims of maximizing the intercepted flow and coverage of roads are considered as the objectives of the model. The problem has been developed as Mixed Integer Program and it is shown that model is capable of handling the different requirements resulting from the demand of mobile and static populations. The mathematical formulation is extended for the stochastic case, relaxing the assumption that demand is known and certain. Risk-averse measures are included in the mathematical formulation with the application of Conditional-Value-at-Risk risk measure. It is observed that with a stochastic model, when uncertainties are present in the network, with the help of the risk-averse measure, the risk on the network is kept under control and the amount of demand that is subject to risk is decreased.

Suggestions

Adoption factors of health monitoring systems for smart healthcare: a systematic review
Özkan Yıldırım, Sevgi (null; 2019-04-13)
Although there have been several studies that focus on technical aspects of health monitoring systems, adoption of these systems remains largely unknown. A limited number of researches has explored the factors influencing users’ adoption of these systems that provide successful system implementation. In this study, we reviewed articles addresses the adoption of health monitoring systems. We extract criteria that influence the adoption decision that has been made at some stage to use health monitoring system...
INDEMNITY PAYMENTS IN AGRICULTURAL INSURANCE: RISK EXPOSURE OF EU STATES
Yildirak, Kasirga; Gülseven, Osman (2012-01-01)
This study estimates the risk contributions of individual European countries regarding the indemnity payments in agricultural insurance. We model the total risk exposure as an insurance portfolio where each country is unique in terms of its risk characteristics. The data has been collected from the recent surveys conducted by the European Commission and the World Bank. Farm Accountancy Data Network is used as well. 22 out of 26 member states are included in the study. The results suggest that the Euro-Medit...
Incorporation of Personal Single Nucleotide Polymorphism (SNP) Data into a National Level Electronic Health Record for Disease Risk Assessment, Part 1: An Overview of Requirements
Beyan, Timur; Aydın Son, Yeşim (JMIR Publications Inc., 2014-7-24)
Background: Personalized medicine approaches provide opportunities for predictive and preventive medicine. Using genomic, clinical, environmental, and behavioral data, tracking and management of individual wellness is possible. A prolific way to carry this personalized approach into routine practices can be accomplished by integrating clinical interpretations of genomic variations into electronic medical records (EMRs)/electronic health records (EHRs). Today, various central EHR infrastructures have been...
A Genetic algorithm for healthcare facility location problem
İşbilir, Melike; Bayındır, Zeynep Pelin; İyigün, Cem; Department of Industrial Engineering (2016)
In this study, we consider the problem of locating emergency healthcare facilities in urban areas. Upon emergency occurrence, patients are directed to any one of the emergency centers with a likelihood that depends on the travel time. Moreover, the survival, that represents the severity of the consequences of the emergency situation, is also probabilistic and is a function of the travel time. A mathematical model is constructed under the objective of maximizing expected number of survivors while determining...
Instrumented monitoring and nondestructive evaluation of highway bridges
Hunt, Victor J.; Türer, Ahmet; Gao, Yong; Levi, Alper; Helmicki, Arthur J.; Barrish, J.R.; Catbas, Fikret N.; Grimmelsman, K; Aktan, A. Emin (1998-04-03)
On-line, continuous monitoring technologies of a rigorous and objective nature are sought to quantitatively identify and evaluate the condition or health of highway structures over their useful lifetime. A global bridge evaluation methodology is under development based upon the structural identification concept, employing modal testing, truckload testing, and instrumented monitoring as its principal experimental tools. Test results are transformed to either modal flexibility or the unit influence line, whic...
Citation Formats
S. Taymaz, “Network planning of walk-in clinics on roadsides in africa,” M.S. - Master of Science, Middle East Technical University, 2013.