菲律宾认可检测中心COVID-19检测试剂盒的优化配置

IF 5.9 Q1 Computer Science Journal of Healthcare Informatics Research Pub Date : 2020-11-09 eCollection Date: 2021-03-01 DOI:10.1007/s41666-020-00081-5
Christian Alvin H Buhat, Jessa Camille C Duero, Edd Francis O Felix, Jomar F Rabajante, Jonathan B Mamplata
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引用次数: 27

摘要

检测对于早期发现、隔离和治疗冠状病毒病(COVID-19)感染者至关重要。然而,在菲律宾等资源有限的国家,检测试剂盒的可用性有限。截至2020年4月11日,该国有11个检测中心获得卫生部(DOH)的认可,可以进行检测。在本文中,我们使用非线性规划(NLP)来确定菲律宾认可的检测中心之间COVID-19检测试剂盒的最佳百分比分配,从而为所有受感染的个体提供公平的检测机会。该模型考虑了检测可及性、城市人口密度和检测设施能力的异质性。结果表明,每个检测中心的最优配置范围如下:热带医学研究所(4.17-6.34%)、圣拉扎罗医院(14.65-24.03%)、菲律宾大学国立卫生研究院(16.25-44.80%)、菲律宾肺中心(15.8-26.40%)、碧瑶综合医院医疗中心(0.58-0.76%)、帕西格市医疗城(5.96-25.51%)、奎松市圣卢克医疗中心(1.09-6.70%)、比科尔公共卫生实验室(0.06-0.08%)、西米沙亚斯医疗中心(0.71-4.52%)、Vicente Sotto纪念医疗中心(1.02-2.61%)和菲律宾南部医疗中心(≈0.01%)。我们的研究结果可以作为当局分发COVID-19检测试剂盒的指南。这些建议还可用于建议增加检测中心,并适当和公平地利用现有的检测包,这有助于使流行曲线“趋于平缓”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Optimal Allocation of COVID-19 Test Kits Among Accredited Testing Centers in the Philippines.

Testing is crucial for early detection, isolation, and treatment of coronavirus disease (COVID-19)-infected individuals. However, in resource-constrained countries such as the Philippines, test kits have limited availability. As of 11 April 2020, there are 11 testing centers in the country that have been accredited by the Department of Health (DOH) to conduct testing. In this paper, we use nonlinear programming (NLP) to determine the optimal percentage allocation of COVID-19 test kits among accredited testing centers in the Philippines that gives an equitable chance to all infected individuals to be tested. Heterogeneity in testing accessibility, population density of municipalities, and the capacity of testing facilities are included in the model. Our results show that the range of optimal allocation per testing center are as follows: Research Institute for Tropical Medicine (4.17-6.34%), San Lazaro Hospital (14.65-24.03%), University of the Philippines-National Institutes of Health (16.25-44.80%), Lung Center of the Philippines (15.8-26.40%), Baguio General Hospital Medical Center (0.58-0.76%), The Medical City, Pasig City (5.96-25.51%), St. Luke's Medical Center, Quezon City (1.09-6.70%), Bicol Public Health Laboratory (0.06-0.08%), Western Visayas Medical Center (0.71-4.52%), Vicente Sotto Memorial Medical Center (1.02-2.61%), and Southern Philippines Medical Center (≈ 0.01%). Our results can serve as a guide to the authorities in distributing the COVID-19 test kits. These can also be used for proposing additional testing centers and utilizing the available test kits properly and equitably, which helps in "flattening" the epidemic curve.

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来源期刊
Journal of Healthcare Informatics Research
Journal of Healthcare Informatics Research Computer Science-Computer Science Applications
CiteScore
13.60
自引率
1.70%
发文量
12
期刊介绍: Journal of Healthcare Informatics Research serves as a publication venue for the innovative technical contributions highlighting analytics, systems, and human factors research in healthcare informatics.Journal of Healthcare Informatics Research is concerned with the application of computer science principles, information science principles, information technology, and communication technology to address problems in healthcare, and everyday wellness. Journal of Healthcare Informatics Research highlights the most cutting-edge technical contributions in computing-oriented healthcare informatics.  The journal covers three major tracks: (1) analytics—focuses on data analytics, knowledge discovery, predictive modeling; (2) systems—focuses on building healthcare informatics systems (e.g., architecture, framework, design, engineering, and application); (3) human factors—focuses on understanding users or context, interface design, health behavior, and user studies of healthcare informatics applications.   Topics include but are not limited to: ·         healthcare software architecture, framework, design, and engineering;·         electronic health records·         medical data mining·         predictive modeling·         medical information retrieval·         medical natural language processing·         healthcare information systems·         smart health and connected health·         social media analytics·         mobile healthcare·         medical signal processing·         human factors in healthcare·         usability studies in healthcare·         user-interface design for medical devices and healthcare software·         health service delivery·         health games·         security and privacy in healthcare·         medical recommender system·         healthcare workflow management·         disease profiling and personalized treatment·         visualization of medical data·         intelligent medical devices and sensors·         RFID solutions for healthcare·         healthcare decision analytics and support systems·         epidemiological surveillance systems and intervention modeling·         consumer and clinician health information needs, seeking, sharing, and use·         semantic Web, linked data, and ontology·         collaboration technologies for healthcare·         assistive and adaptive ubiquitous computing technologies·         statistics and quality of medical data·         healthcare delivery in developing countries·         health systems modeling and simulation·         computer-aided diagnosis
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