Statistical analysis of the Hungarian COVID-19 victims.

With the wide spread of Coronavirus, most people who infected with the COVID-19, will recover without requiring special treatment. Whereas, elders and those with underlying medical problems are more likely to have serious illnesses, even be threatened with death. Many more disciplines try to find solutions and drive master plan to this global trouble. Consequently, by taking one particular population, Hungary, this study aims to explore a pattern of COVID-19 victims, who suffered from some underlying conditions. Age, gender, and underlying medical problems form the structure of the clustering. K-Means and two step clustering methods were applied for age-based and age-independent analysis. Grouping of the deaths in the form of two different scenarios may highlight some concepts of this deadly disease for public health professionals. Our result for clustering can forecast similar cases which are assigned to any cluster that it will be a serious cautious for the population.

Weaknesses of research methodologies on musculoskeletal disorders associated with mobile touch-screen devices.

The objective of the currently study is to point out the weaknesses of some recent researches, which were done about the effects or symptoms of using Touch Screen Mobile Devices on the human musculoskeletal system. In this article, we reviewed the research processes performed in recent 26 randomly selected papers about musculoskeletal disorder to clarify the common weaknesses of these published articles. The electronic database search and reference search were conducted in four different databases: Medline, PubMed, Web of Science, and Scopus. We noticed that none of the reviewed papers had performed the experimental design phase of a scientific research. Additionally they had not validated the assumptions of the statistical methods used in their researches. Therefore, their findings are doubtful. In this article, we proposed practical outlines for a reliable experimental research.

Design and Preparation of Mass Production System for Protective Items in the European Union for the Case of Serious Pandemics.

OBJECTIVE: The European Union (EU) responded to the coronavirus disease 2019 (COVID-19) pandemic with a long time lag. The response was made on the level of the member states. There was no institution at the EU level that could assist the member states. Italy but other states as well, needed Chinese help. This highlights 2 points. First, the EU is vulnerable. Second, eastern Asia reacted faster to the new demand on the market and introduced effective technology for the mask production. A robust method is needed to overcome the shortage of protective items in the future. METHODS: This method is based on producing the demand within the EU states as the first priority to reduce the reliance from external sources like China that can be competitive and unreliable. This research suggests preventive measures that can make the EU safer. A system for the production of simple protective items is designed. RESULTS: A relatively small number of factories with high capacities are enough to serve the whole EU in a robust way. The calculation of the optimal selection of locations is fast and easy. CONCLUSIONS: The suggested system will make the EU more secure during pandemics. The presented calculations show that the establishment of the system is feasible.

On the Evaluation of the Ambulance Capacity of the Asian Side of Istanbul in the Case of a Serious Earthquake.

OBJECTIVES: The purpose of this study is to analyze a strategy for the assignment and transportation of injured patients to hospital to decrease the demand on transportation, in both predisaster and postdisaster periods, on the Anatolian side of Istanbul. METHODS: Two approaches are used in this study: a Voronoi diagram, and a heuristic approach to the problem of scheduling. A Voronoi diagram is used to divide the city into 74 regions, where each hospital has a certain region of responsibility. The transportation strategy of 1 hospital is modeled by minimizing the makespan (ie, the maximal completion time) and the work-in-process, which are used as different objectives in scheduling theory. RESULTS: The total waiting time of 100 injured people was minimized to 13,036 min when a total of 3 vehicles was used in the studied region, on the Asian side of Istanbul. The transportation capacity and total operating capacity of the hospitals should be approximately equal. CONCLUSIONS: The people of Istanbul will be in a safer position if the suggested measures are implemented. This is an important consideration, as Istanbul is situated in a region where serious earthquakes are possible at any moment.