Assistant decision method for intelligent dispatch of emergency medical materials

Liu, Qianqian; Lin, Churan; Wang, Yu; Long, Chaodang; Qian, Wan; Cao, Jian

doi:10.1145/3433996.3434012

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…The disadvantage is that some data in the paper are generated according to uniform distribution, which is not in line with the actual situation. Qianqian Liu, Churan Lin [4] Taking the epidemic situation as the research material, this paper puts forward an intelligent dispatching assistant decision-making method for emergency medical materials, and applies computer simulation technology to construct an evaluation system of emergency medical materials transportation scheme based on urban geographic information data. By comparing the location of distribution centers, the optimal distribution scheme can be obtained.…”

Section: Emergency Warehouse Location Problemmentioning

confidence: 99%

Research Status and Prospect of Medical Material Scheduling

2023

AJHSS

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When sudden public health events broke out, the demand for medical materials surged, so there were some problems such as lack of materials and low efficiency of medical materials transportation. This paper collects the literature related to medical material scheduling at home and abroad, mainly summarizes the location of medical emergency material warehouse and emergency medical material scheduling model, points out the areas that can be improved in the process of medical material scheduling in China at present and the direction that can be studied in the future, and puts forward several measures to improve it, so as to enhance the national emergency support capacity and better deal with major public health emergencies.

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Section: Emergency Warehouse Location Problemmentioning

confidence: 99%

Research Status and Prospect of Medical Material Scheduling

2023

AJHSS

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“…Studies on urban planning also occupy a very prominent space. As a result, the issue of health infrastructure and its accessibility is addressed, opening up a political debate about public spaces (Alasadi, Aziz, Dhiya, & Abdulmajed, 2020;Deponte, Fossa, & Gorrini, 2020;Kanga et al, 2020;Liu, Lin, et al, 2020;Silalahi, Hidayat, Dewi, Purwono, & Oktaviani, 2020;Zecca, Gaglione, Laing, & Gargiulo, 2020). We highlight the use of OSMnx tools to download spatial data from OpenStreetMap and model, project, visualize, and analyze street networks (Boeing, 2020).…”

Section: Gps and Networkmentioning

confidence: 99%

A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020

Franch-Pardo

Desjardins

Barea-Navarro

et al. 2021

Transactions in GIS

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COVID‐19 has infected over 163 million people and has resulted in over 3.9 million deaths. Regarding the tools and strategies to research the ongoing pandemic, spatial analysis has been increasingly utilized to study the impacts of COVID‐19. This article provides a review of 221 scientific articles that used spatial science to study the pandemic published from June 2020 to December 2020. The main objectives are: to identify the tools and techniques used by the authors; to review the subjects addressed and their disciplines; and to classify the studies based on their applications. This contribution will facilitate comparisons with the body of work published during the first half of 2020, revealing the evolution of the COVID‐19 phenomenon through the lens of spatial analysis. Our results show that there was an increase in the use of both spatial statistical tools (e.g., geographically weighted regression, Bayesian models, spatial regression) applied to socioeconomic variables and analysis at finer spatial and temporal scales. We found an increase in remote sensing approaches, which are now widely applied in studies around the world. Lockdowns and associated changes in human mobility have been extensively examined using spatiotemporal techniques. Another dominant topic studied has been the relationship between pollution and COVID‐19 dynamics, which enhance the impact of human activities on the pandemic's evolution. This represents a shift from the first half of 2020, when the research focused on climatic and weather factors. Overall, we have seen a vast increase in spatial tools and techniques to study COVID‐19 transmission and the associated risk factors.

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