Mathematical modeling for selecting center locations for medical and health supplies reserve in Hainan Province

Hu, Xiaohua; Lu, Chuanzhu; Min, Li; Zhang, Caihong; Zhang, Hua

doi:10.1016/s1995-7645(14)60014-6

Cited by 2 publications

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“…This model was based on minimizing travel distances for customers of these services. In the study, real demand and environmental issues are not considered 13 . The index considered in this study is not considered in the construction of our study hospital.…”

Section: Discussionmentioning

confidence: 99%

Inappropriate hospital site selection: A case report‎

Zarei

Kameli

Dastras

2020

Asian J. Health. Sci.

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Introduction: Health centers as one of the main urban services, and one of the key factors in assessing the feasibility of sustainable development in cities have a high sensitivity to location and choice of accommodation. Case Report: Shirvan is the largest city after the capital of the province in North Khorasan of Iran. On the southern edge of the city of Shirvan, there is a seasonal river between the city and Ayatollah Hashemi Rafsanjani Hospital. The need to build a solid bridge is essential for safe access to the hospital, which, unfortunately, has not been achieved. The constructed roundabout passes approximately one meter from the river floor. In the spring of 2019, there was heavy rainfall in most parts of the country, and the area was not poor. The rains blocked access to Ayatollah Hashemi Rafsanjani Hospital as water flowed into the seasonal river. Conclusion: A hospital that should help itself to a crisis was itself a cause of the crisis in a short time.

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Section: Discussionmentioning

confidence: 99%

Inappropriate hospital site selection: A case report‎

Zarei

Kameli

Dastras

2020

Asian J. Health. Sci.

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“…A modified P-Median model, which considers both geographic accessibility and service quality, is proposed that employs both exact and approximate strategies [29]. Another example is found in the application of this model in a case study in Hainan Province, China, resulting in the selection of three optimal healthcare centers from candidate cities and allocating resources considering capacity constraints and spatial compactness constraints [30].…”

Section: 31c Location-allocation Modellingmentioning

confidence: 99%

Optimizing health service location in a highly urbanized city: Multi criteria decision making and P-Median problem models for public hospitals in Jeddah City, KSA

Murad,

Faruque,

Naji

et al. 2024

PLoS ONE

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Rapid urbanization and population growth have increased the need for optimizing the location of health services in highly urbanized countries like Kingdom of Saudi Arabia (KSA). This study employs a multiple-criteria decision making (MCDM) approach, e.g., fuzzy overlay technique by combining the P-Median location-allocation model, for optimizing health services. First, a geodatabase, containing public hospitals, road networks and population districts, was prepared. Next, we investigated the location and services of five public hospitals in Jeddah city of KSA, by using a MCDM model that included a fuzzy overlay technique with a location-allocation model. The results showed that the allocated five hospitals served 94 out of 110 districts in the study area. Our results suggested additional hospitals must be added to ensure that the entire city is covered with timely hospital services. To improve the existing situation, we prioritized demand locations using the maximize coverage (MC) location problem model. We then used the P-Median function to find the optimal locations of hospitals, and then combined these two methods to create the MC-P-Median optimizer. This optimizer eliminated any unallocated or redundant information. Health planners can use this model to determine the best locations for public hospitals in Jeddah city and similar settings.

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Mathematical modeling for selecting center locations for medical and health supplies reserve in Hainan Province

Abstract: We find out the center sites under certain conditions, and determine the specific service ranges of the center sites.

Cited by 2 publications

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Inappropriate hospital site selection: A case report‎

Inappropriate hospital site selection: A case report‎

Optimizing health service location in a highly urbanized city: Multi criteria decision making and P-Median problem models for public hospitals in Jeddah City, KSA

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