This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Method Article
Heterogeneous COVID-19 Incidences in Diamond Princess cruise ship: Some Volatile Informatics
Ramalingam Shanmugam
School of Health Administration, Texas State University, San Marcos, TX 78666
Corresponding Author
ORCiD: https://orcid.org/0000-0002-3388-1014
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Declarations:
Declarations
- The author has confirmed that a statement listing potential conflicts of interest or lack thereof is included in the text.
This article centers around heterogeneity. It is popularly and briefly mentioned in literature but is not well defined, explained enough on how to compute or interpret. We here offer a formal definition and properties of heterogeneity. We propose an identifier of its existence. Other related ideas are discussed in this article. The concepts and new expressions of this article are illustrated using the COVID-19 data in a Diamond Princess cruise ship, during February 2020.
Keywords
observed and non-observed homogeneity, Tango index, over/under dispersion, Poisson and binomial distributions.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 21 Sep, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Applied Statistics
Learn more about our company.
This is a preprint. It has not completed peer review.
Method Article
Heterogeneous COVID-19 Incidences in Diamond Princess cruise ship: Some Volatile Informatics
Ramalingam Shanmugam
School of Health Administration, Texas State University, San Marcos, TX 78666
Corresponding Author
ORCiD: https://orcid.org/0000-0002-3388-1014
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 21 Sep, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Applied Statistics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Declarations:
Declarations
- The author has confirmed that a statement listing potential conflicts of interest or lack thereof is included in the text.
This article centers around heterogeneity. It is popularly and briefly mentioned in literature but is not well defined, explained enough on how to compute or interpret. We here offer a formal definition and properties of heterogeneity. We propose an identifier of its existence. Other related ideas are discussed in this article. The concepts and new expressions of this article are illustrated using the COVID-19 data in a Diamond Princess cruise ship, during February 2020.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.