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苏丹结核病分布分析健康数字 GIS 地图的开发。

Development of Health Digital GIS Map for Tuberculosis Disease Distribution Analysis in Sudan.

机构信息

Faculty of Computer Science and Information Technology, Al Neelain University, Khartoum, Sudan.

Computer Science Department, College of Science and Humanities-Jubail, Imam Abdulrahman Bin Faisal University, Jubail 35811, Saudi Arabia.

出版信息

J Healthc Eng. 2023 Feb 13;2023:6479187. doi: 10.1155/2023/6479187. eCollection 2023.

DOI:10.1155/2023/6479187
PMID:36814547
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9940970/
Abstract

Health digital GIS map provides a great solution for medical geographical distribution to efficiently explore diseases and health services. In Sudan, tuberculosis disease is expanding in different areas, which requires a digital GIS map to collect information about the patients and support medical institutions by geographical distribution based on health services, drug supply, and consumption. This paper developed a health digital GIS map to provide a fair geographical distribution of tuberculosis health centers and control the drug supply according to medical reports. The proposed approach extracts the unfair distribution of medicine, as some centers receive medicine but do not receive patients, while others receive a large number of patients but limited amounts of medicine. The analysis results show that there is a defect in some states representing the distribution of tuberculosis centers. In the Northern State, there are 15 tuberculosis centers distributed over all localities, serving about 84 tuberculosis-infected patients only.

摘要

健康数字 GIS 地图为医学地理分布提供了一个很好的解决方案,可有效地探索疾病和卫生服务。在苏丹,结核病在不同地区蔓延,这需要一个数字 GIS 地图来收集有关患者的信息,并根据卫生服务、药品供应和消费情况,按地理位置为医疗机构提供支持。本文开发了一个健康数字 GIS 地图,以公平分配结核病保健中心,并根据医疗报告控制药品供应。所提出的方法提取了药品分配不公平的情况,因为有些中心收到了药品但没有接收患者,而有些中心则接收了大量患者但药品有限。分析结果表明,一些州在代表结核病中心分布方面存在缺陷。在北方州,有 15 个结核病中心分布在各个地区,仅为大约 84 名结核病感染者提供服务。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/00788fde0030/JHE2023-6479187.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/19477fdbb6d3/JHE2023-6479187.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/c1d2dca1584f/JHE2023-6479187.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/ccec514c1800/JHE2023-6479187.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/bb8da04dae52/JHE2023-6479187.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/31a9091c02c9/JHE2023-6479187.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/9dfbb78463c7/JHE2023-6479187.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/0b88bf6c9acf/JHE2023-6479187.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/49e48c6fc074/JHE2023-6479187.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/00788fde0030/JHE2023-6479187.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/19477fdbb6d3/JHE2023-6479187.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/c1d2dca1584f/JHE2023-6479187.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/ccec514c1800/JHE2023-6479187.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/bb8da04dae52/JHE2023-6479187.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/31a9091c02c9/JHE2023-6479187.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/9dfbb78463c7/JHE2023-6479187.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/0b88bf6c9acf/JHE2023-6479187.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/49e48c6fc074/JHE2023-6479187.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/9940970/00788fde0030/JHE2023-6479187.009.jpg

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