Blockchain-based secure delivery of medical supplies using drones

2022 ◽  
pp. 108706
Author(s):  
Muhammad Asaad Cheema ◽  
Rafay Iqbal Ansari ◽  
Nouman Ashraf ◽  
Syed Ali Hassan ◽  
Hassaan Khaliq Qureshi ◽  
...  
Keyword(s):  
Medical Supplies

Metaphor of BPJS Kesehatan as a Sick Patient in Indonesian Media Headlines

2020 ◽  
Vol 3 (1) ◽  
pp. 10-21
Author(s):  
Muhammad Adam
Keyword(s):  
Qualitative Method ◽  
Conceptual Metaphor Theory ◽  
Financial Condition ◽  
Medical Supplies ◽  
Medical Terms ◽  
Sick Patient ◽  
Metaphor Theory ◽  
Media Outlet ◽  
The Government ◽  
Financial Subsidy

Indonesian health insurance (BPJS Kesehatan) has been facing financial deficit and during the coverage of its deficit, media frequently use many medical terms metaphor to describe the financial condition of BPJS Kesehatan. This study aims to examine the medical terms metaphor used to describe the financial deficit of BPJS Kesehatan to further identify the entailments and to pin point what is the cause of sickness and what could cure the sickness. Qualitative method is used in this study with conceptual metaphor theory (Lakoff and Johnson, 1980) as the conceptual framework. There 10 headlines from various online media outlet that are collected as the source of the data. The study examines the particular terms which described BPJS Kesehatan as a sick patient and further analysis is conducted to identify the closest entailments of metaphor, which are to identify who will be the doctor and what cause its sickness. The results shows that the particular conditions  as  metaphor used to describe the financial condition of BPJS Kesehatan is dying (sekarat), critical (kritis), swell (bengkak), and wound (luka).  From the analysis of entailments, the doctor is the government equipped with medical supplies and procedures to cure the patient which is the financial subsidy and the second entailment is the cause of the sickness which is the lack of awareness from the member to pay the premium regularly on time.

Gendered Impact of Corruption in Healthcare Service Delivery in Nigeria

2013 ◽  
Vol 11 (1) ◽  
Author(s):  
Yetunde A. Aluko
Keyword(s):  
Service Delivery ◽  
Public Hospitals ◽  
Public Health Care ◽  
Women's Voices ◽  
Medical Supplies ◽  
Poor Women ◽  
Level Information ◽  
Life Threatening ◽  
Threatening Situation ◽  
The Impact

This paper supports the hypothesis that corruption and non-delivery of services in key sectors such as health have gender-specific poverty consequences. The study utilized qualitative micro-level information about the structures of corruption and its impact on poor women. Respondents expressed their perceptions on the occurrence of corrupt practices in public health care system and its wider impact on society. The findings revealed that the impact of corruption is felt disproportionately by women and the poor, who are most dependent on public services, and have no alternative even when facing corrupt practices in a life threatening situation, such as complicated birth delivery. Pregnant women denied access to doctors tended to deliver at home, which increased the likelihood of complications and maternal and child mortality. Medical supplies meant for public hospitals are sold to private clinics who charge more for drugs and supplies. There is need to strengthen sectoral oversight mechanisms and transparency as well as increase women’s voices in service delivery.

scholarly journals E.U. and China Trends in Trade in Challenging Times

2021 ◽  
Vol 14 (2) ◽  
pp. 71
Author(s):  
Irena Jindřichovská ◽  
Erginbay Uğurlu
Keyword(s):  
World Economy ◽  
Electronic Devices ◽  
Major Change ◽  
Chinese Economy ◽  
High Demand ◽  
Monthly Data ◽  
Medical Supplies ◽  
Chinese Export ◽  
Abrupt Rise ◽  
The Eu

The sudden and abrupt rise of COVID-19 became a challenge for the world economy. In this paper, we investigate the changes in a trend of mutual trade between the EU-15 countries and China during the demanding times of the COVID-19 crisis. We use monthly data for Chinese exports to the E.U. (2018:01–2020:05) and imports from the E.U. (2018:01–2020:07) relying on the data from the open-source TradeMap developed by the International Trade Centre UNCTAD/WTO (ITC). Overall, there is an obvious decline of 13–32 percent in worldwide trade as predicted by the WTO. This affected China as the main trading partner of electronic devices and medical supplies. The trade between the E.U. and China has decreased, but the major change in demand brought an alteration in commodities structures and the reorientation of Chinese export production. In the first five months of 2020, we witnessed the strong engagement of the Chinese economy in the production of goods newly in high demand—mainly articles strongly related to healthcare and medical equipment. Thus, we have observed that the Chinese were very flexible in changing the structure of their exports triggered by the COVID-19 crisis. This flexibility is worth further exploration, especially because the COVID-19 crisis is still not over and new data and changing results can be expected.

scholarly journals Multi-Objective Optimization of Integrated Civilian-Military Scheduling of Medical Supplies for Epidemic Prevention and Control

Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 126
Author(s):  
Hai-Feng Ling ◽  
Zheng-Lian Su ◽  
Xun-Lin Jiang ◽  
Yu-Jun Zheng
Keyword(s):  
Prevention And Control ◽  
Large Scale ◽  
Medical Services ◽  
The Novel ◽  
Multi Objective ◽  
Medical Supplies ◽  
Problem Instances ◽  
Novel Coronavirus ◽  
And Control ◽  
Minimum Ratio

In a large-scale epidemic, such as the novel coronavirus pneumonia (COVID-19), there is huge demand for a variety of medical supplies, such as medical masks, ventilators, and sickbeds. Resources from civilian medical services are often not sufficient for fully satisfying all of these demands. Resources from military medical services, which are normally reserved for military use, can be an effective supplement to these demands. In this paper, we formulate a problem of integrated civilian-military scheduling of medical supplies for epidemic prevention and control, the aim of which is to simultaneously maximize the overall satisfaction rate of the medical supplies and minimize the total scheduling cost, while keeping a minimum ratio of medical supplies reservation for military use. We propose a multi-objective water wave optimization (WWO) algorithm in order to efficiently solve this problem. Computational results on a set of problem instances constructed based on real COVID-19 data demonstrate the effectiveness of the proposed method.

Herbert Hoover's “Treaty” with Soviet Russia: August 20, 1921

Slavic Review ◽  
1969 ◽  
Vol 28 (2) ◽  
pp. 276-288 ◽  
Author(s):  
Benjamin M. Weissman
Keyword(s):  
United States ◽  
The United States ◽  
Early Summer ◽  
United States Government ◽  
Private Agency ◽  
Medical Supplies ◽  
States Government ◽  
The Government ◽  
Soviet Russia

In March 1921 Lenin predicted, “If there is a harvest, everybody will hunger a little and the government will be saved. Otherwise, since we cannot take anything from people who do not have the means to satisfy their own hunger, the government will perish.“ By early summer, Russia was in the grip of one of the worst famines in its history. Lenin's gloomy forecast, however, was never put to the test. At almost the last moment, substantial help in the form of food, clothing, and medical supplies arrived from a most unexpected source —U.S. Secretary of Commerce Herbert Hoover.Hoover undertook the relief of Soviet Russia not as an official representative of the United States government but as the head of a private agency —the American Relief Administration (A.R.A.).

scholarly journals On collaborative reinforcement learning to optimize the redistribution of critical medical supplies throughout the COVID-19 pandemic

2020 ◽  
Author(s):  
Bryan P Bednarski ◽  
Akash Deep Singh ◽  
William M Jones
Keyword(s):  
Public Health ◽  
Reinforcement Learning ◽  
Medical Equipment ◽  
Census Bureau ◽  
Learning Models ◽  
Public Health Emergencies ◽  
Medical Supplies ◽  
Learning Techniques ◽  
Disease Impact ◽  
Random States

Abstract objective This work investigates how reinforcement learning and deep learning models can facilitate the near-optimal redistribution of medical equipment in order to bolster public health responses to future crises similar to the COVID-19 pandemic. materials and methods The system presented is simulated with disease impact statistics from the Institute of Health Metrics (IHME), Center for Disease Control, and Census Bureau[1, 2, 3]. We present a robust pipeline for data preprocessing, future demand inference, and a redistribution algorithm that can be adopted across broad scales and applications. results The reinforcement learning redistribution algorithm demonstrates performance optimality ranging from 93-95%. Performance improves consistently with the number of random states participating in exchange, demonstrating average shortage reductions of 78.74% (± 30.8) in simulations with 5 states to 93.50% (± 0.003) with 50 states. conclusion These findings bolster confidence that reinforcement learning techniques can reliably guide resource allocation for future public health emergencies.

A review on the role of 3D printing in the fight against COVID-19: safety and challenges

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sapam Ningthemba Singh ◽  
Vavilada Satya Swamy Venkatesh ◽  
Ashish Bhalchandra Deoghare
Keyword(s):  
Supply Chain ◽  
3D Printing ◽  
Three Dimensional ◽  
Content Type ◽  
Medical Supplies ◽  
Future Challenges ◽  
Safety And Reliability ◽  
3D Printed ◽  
Comprehensive Study

Purpose During the COVID-19 pandemic, the three-dimensional (3D) printing community is actively participating to address the supply chain gap of essential medical supplies such as face masks, face shields, door adapters, test swabs and ventilator valves. This paper aims to present a comprehensive study on the role of 3D printing during the coronavirus (COVID-19) pandemic, its safety and its challenges. Design/methodology/approach This review paper focuses on the applications of 3D printing in the fight against COVID-19 along with the safety and challenges associated with 3D printing to fight COVID-19. The literature presented in this paper is collected from the journal indexing engines including Scopus, Google Scholar, ResearchGate, PubMed, Web of Science, etc. The main keywords used for searches were 3D printing COVID-19, Safety of 3D printed parts, Sustainability of 3D printing, etc. Further possible iterations of the keywords were used to collect the literature. Findings The applications of 3D printing in the fight against COVID-19 are 3D printed face masks, shields, ventilator valves, test swabs, drug deliveries and hands-free door adapters. As most of these measures are implemented hastily, the safety and reliability of these parts often lacked approval. The safety concerns include the safety of the printed parts, operators and secondary personnel such as the workers in material preparation and transportation. The future challenges include sustainability of the process, long term supply chain, intellectual property and royalty-free models, etc. Originality/value This paper presents a comprehensive study on the applications of 3D printing in the fight against COVID-19 with emphasis on the safety and challenges in it.

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