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
NaaderAlizadeh
TarbiatModares University
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
In this paper, provide an analysis of data on the characteristics of patients with confirmed COVID-19 infection throughout Iran and other countries such as China, S. Korea,USA, Italy, Spain, Germany, France, UK, Austria, and Argentina, and presented a kinetic modelling for prediction of infection, death, recovery and patients populations.The predict results of infection, death and recovery rate constants helps to interpret of public sentiment on disseminating related health information, and comparison different governments behavior to overcoming the outbreak of the coronavirus (COVID-19). Calculation results are in agreement with the census data of the coronavirus infection in many regions of the world.
Keywords
COVID-19, kinetic modelling, prediction of infection
Figure 1
Figure 2
Figure 3
Figure 4
This preprint is available for download as a PDF.
This is a list of supplementary files associated with this preprint. Click to download.
Loading...
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 02 Jun, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Statistical Epidemiology
Learn more about our company.
This is a preprint. It has not completed peer review.
Research Article
NaaderAlizadeh
TarbiatModares University
Corresponding Author
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 02 Jun, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Statistical Epidemiology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
In this paper, provide an analysis of data on the characteristics of patients with confirmed COVID-19 infection throughout Iran and other countries such as China, S. Korea,USA, Italy, Spain, Germany, France, UK, Austria, and Argentina, and presented a kinetic modelling for prediction of infection, death, recovery and patients populations.The predict results of infection, death and recovery rate constants helps to interpret of public sentiment on disseminating related health information, and comparison different governments behavior to overcoming the outbreak of the coronavirus (COVID-19). Calculation results are in agreement with the census data of the coronavirus infection in many regions of the world.
Figure 1
Figure 2
Figure 3
Figure 4
This preprint is available for download as a PDF.
Loading...