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.
Research Article
Mortality Rate Due to Pulmonary Fibrosis Associated with Sars-Cov-2 Infection: Scope of Best Fit Regression
JAYDIP DATTA
Indian Institute of Chemical Engineers ( CRC )
Corresponding Author
ORCiD: https://orcid.org/0000-0002-0013-5269
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Declarations:
Declarations
- This study involved human subjects.
- The author confirmed that all appropriate ethical guidelines for the use of human subjects have been followed, any necessary IRB and/or ethics committee review has been obtained, and information about the IRB/ethics committee is included in the manuscript.
- The author has confirmed that all necessary patient/participant consent or assent has been obtained and the appropriate institutional forms have been archived. If the IRB/ethics committee waived the requirement for patient/participant consent or assent, an explanation for the waiver is included in the text.
- The author has confirmed that a statement listing potential conflicts of interest or lack thereof is included in the text.
In this article mortality rate ( 1) due to pulmonary fibrosis ( 2,3 )associated with SARS-COV-2 ( 4,5 ) is analysed at the early stage of Covid19 infection globally with effect from 21St January to 28th April, 2020 ( 6 ).Pulmonary fibrosis may be considered as one of the major cause of death due to severe acute respiratory syndrome ( SARS-COV-2 )(5) infection . The mortality percentage data(5) within a total ninety eight days are analysed by best fit regression(7) like Polynomial – Morgan Morgan Finney ( MMF ) (7, 8,9 )- Harris model are analysed in detail to compare the scope of best fit with two prime epidemiological parameters like mortality percentage (6) vs duration in days with regular interval of seven days . The entire statistical analysis is computationally analysed by a standard coding of data analysis (11).
Keywords
SARS-COV-2, Idiopathic pulmonary fibrosis ( IPF ), Best fit regression, Harris model, JSON coding, Mortality contour
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
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.
This is a list of supplementary files associated with this preprint. Click to download.
- SupplementaryDataSARSCOV2lungfibrosis.docx
Supplementary Data - MORTALITY RATE DUE TO PULMONARY FIBROSIS ASSOCIATED WITH SARS-COV-2 INFECTION: SCOPE OF BEST FIT REGRESSION ( https://zenodo.org/record/4393577 )
JAYDIP DATTA
commented on 30 December, 2020
Pulmonary fibrosis is one of the significant cause of death or high mortality rate ( % )due to SARS-COV-2 infection . Pneumonia caused by sepsis results an intensive -critical care of the pateints in high ventilation unit ( HVU ) followed by most potent antiviral like Remdesivir . The choice of data at the early stage of Covid19 for 98 days duration w.e.f last weak of Jan ,2020 . The probability of infection - death % signifies the Harris fit of regression . The data correlation is coded in stantard JSON as an artificial intelligence ( AI) .
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 29 Dec, 2020
Community comments: 1
Metrics
Comments: 1
PDF Downloads: ...
HTML Views: ...
Learn more about our company.
This is a preprint. It has not completed peer review.
Research Article
Mortality Rate Due to Pulmonary Fibrosis Associated with Sars-Cov-2 Infection: Scope of Best Fit Regression
JAYDIP DATTA
Indian Institute of Chemical Engineers ( CRC )
Corresponding Author
ORCiD: https://orcid.org/0000-0002-0013-5269
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 29 Dec, 2020
Community comments: 1
Metrics
Comments: 1
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Declarations:
Declarations
- This study involved human subjects.
- The author confirmed that all appropriate ethical guidelines for the use of human subjects have been followed, any necessary IRB and/or ethics committee review has been obtained, and information about the IRB/ethics committee is included in the manuscript.
- The author has confirmed that all necessary patient/participant consent or assent has been obtained and the appropriate institutional forms have been archived. If the IRB/ethics committee waived the requirement for patient/participant consent or assent, an explanation for the waiver is included in the text.
- The author has confirmed that a statement listing potential conflicts of interest or lack thereof is included in the text.
In this article mortality rate ( 1) due to pulmonary fibrosis ( 2,3 )associated with SARS-COV-2 ( 4,5 ) is analysed at the early stage of Covid19 infection globally with effect from 21St January to 28th April, 2020 ( 6 ).Pulmonary fibrosis may be considered as one of the major cause of death due to severe acute respiratory syndrome ( SARS-COV-2 )(5) infection . The mortality percentage data(5) within a total ninety eight days are analysed by best fit regression(7) like Polynomial – Morgan Morgan Finney ( MMF ) (7, 8,9 )- Harris model are analysed in detail to compare the scope of best fit with two prime epidemiological parameters like mortality percentage (6) vs duration in days with regular interval of seven days . The entire statistical analysis is computationally analysed by a standard coding of data analysis (11).
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
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.
JAYDIP DATTA
commented on 30 December, 2020
Pulmonary fibrosis is one of the significant cause of death or high mortality rate ( % )due to SARS-COV-2 infection . Pneumonia caused by sepsis results an intensive -critical care of the pateints in high ventilation unit ( HVU ) followed by most potent antiviral like Remdesivir . The choice of data at the early stage of Covid19 for 98 days duration w.e.f last weak of Jan ,2020 . The probability of infection - death % signifies the Harris fit of regression . The data correlation is coded in stantard JSON as an artificial intelligence ( AI) .