Algorithm of Calculation the Morbidity Rate in the Metropolis

Karlova, Tatyana; Bekmeshov, A.Yu.; Kuznetsova, Nataliya; Mihailova, Marianna V.

doi:10.1109/itmqis.2018.8524987

Cited by 4 publications

(2 citation statements)

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“…Each of the epidemics, depending on the parameters of the pathogen, has its own characteristics [1][2][3]. While an infectious disease specialists, virologists, epidemiologists, mathematicianstatisticians need detailed information about each pathogen characteristic, a modern resident of the metropolis (citizen) needs to know the following:…”

Section: Blocks Of Data Presented To the Population Of The Metropolismentioning

confidence: 99%

“…It is important to note, that the calculation of the recommended terms for the extension of quarantine measures can be adjusted depending on many factors, starting from the self-isolation index, new patients data, contact lists of new patients, ending with pathogen specific transmission factors [1,2]. In this connection, the calculation of the recommended terms for the extension of quarantine is probabilistic.…”

Section: Fig 2 Epidemic Distribution Curvesmentioning

confidence: 99%

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Automation the Processes of Informing the Population of the Metropolis about the Epidemic Situation Taking into Account Information Security Requirements

Karlova¹,

Bekmeshov²,

Kuznetsova

2020

2020 International Conference Quality Management, Transport and Information Security, Information Technologies (IT&QM&I

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Modern society faced the global pandemic problem. But besides the direct fight against the virus consisting in the quarantine regime application and in the health system improvement, rational population informing methods are also needed to counter panic. The article is devoted to development the automation system of informing the metropolis population about the current epidemic situation. During the design process special attention was paid to information security aspects. The personal data protection mechanism is presented in the article.

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Section: Blocks Of Data Presented To the Population Of The Metropolismentioning

confidence: 99%

Section: Fig 2 Epidemic Distribution Curvesmentioning

confidence: 99%