0000000000294646

AUTHOR

Alexander Chakhunashvili

showing 3 related works from this author

Building a statistical surveillance dashboard for COVID-19 infection worldwide

2020

When a pandemic like the current novel coronavirus (COVID-19) breaks out, it is important that authorities, healthcare organizations and official decision makers, have in place an effective monitoring system to promptly analyze data, create new insights into problematic areas and generate actionable knowledge for fact-based decision making. The aim of this article is to describe an initial work focused on building a comprehensive statistical surveillance dashboard for the epidemic of COVID-19, which can be exploited also for future needs. We propose novel ways of exploring, analyzing and presenting data, using metrics that have not been used previously. We also show the steps necessary to b…

2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Dashboard (business)0211 other engineering and technologies02 engineering and technology01 natural sciencesIndustrial and Manufacturing Engineering010104 statistics & probabilitymultiple attribute decision-makingprocess monitoringPandemicHealth carestatistical process control0101 mathematicsSafety Risk Reliability and Quality021103 operations researchbusiness.industrySettore SECS-S/02 - Statistica Per La Ricerca Sperimentale E Tecnologicastatistical decision makingPublic relationsStatistical thinkingstatistical thinkingBusinessDecision analysisDecision analysiQuality Engineering
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Variation Mode and Effect Analysis: a Practical Tool for Quality Improvement

2006

This paper describes a statistically based engineering method, variation mode and effect analysis (VMEA), that facilitates an understanding of variation and highlights the product/process areas in which improvement efforts should be targeted. An industrial application is also described to illustrate how the VMEA can be used for quality improvement purposes. Copyright © 2006 John Wiley & Sons, Ltd.

EngineeringQuality managementEffect analysisbusiness.industryMethod engineeringMode (statistics)Management Science and Operations ResearchIndustrial engineeringProcess areaRobust designVariation (linguistics)robust designvariation managementProduct (category theory)Safety Risk Reliability and Qualitybusinesskey product characteristicnoise factorQuality and Reliability Engineering International
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Pandemetrics: systematically assessing, monitoring, and controlling the evolution of a pandemic

2022

AbstractThe still ongoing pandemic of SARS-CoV-2 virus and COVID-19 disease, affecting the population worldwide, has demonstrated the need of more accurate methodologies for assessing, monitoring, and controlling an outbreak of such devastating proportions. Authoritative attempts have been made in traditional fields of medicine (epidemiology, virology, infectiology) to address these shortcomings, mainly by relying on mathematical and statistical modeling. However, here, we propose approaching the methodological work from a different, and to some extent alternative, standpoint. Applied systematically, the concepts and tools of statistical engineering and quality management, developed not onl…

Statistics and ProbabilityCovid-19 Data monitoring Early warning Pandemic Statistical process control Statistical surveillanceSettore SECS-S/02 - Statistica Per La Ricerca Sperimentale E TecnologicaGeneral Social Sciences
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