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A Predictive System For Determining The Probability Of Transfer Of Viruses From Animals To Humans

Abstract: ABSTRACT Title: A Predictive System for Determining the Probability of Transfer of Viruses from Animals to Humans The study of viruses transmission from animal to human beings is vital since more outbreaks are happing frequently and from a veterinary viewpoint these viruses causes diseases that are economically devastating. The emergence of animal virus in the human population seeks the importance of animals in harbouring infectious agents. Zoonosis is the scientific term referring to any diseases that are transmitted to people by animals. Such diseases can wreak havoc on the health of both animals and human beings. Research study describes that 1415 pathogens virus infected humans and more than 60 percentages are zoonotic. Cause agents for modern diseases transmitted by animals are Ebola, Influenza and Salmonellosis viruses. However rabies is an example that directly involve animal to human transmission which is regarded as a direct zoonosis. In this research work we have developed a system for predicting the probabilities of such virus attacks which may transfer from animals to human beings or humans to humans. Here we are considering personal factors such as food habits, history, medication and also the environment factors like pollution and temperate for prediction. Data mining algorithms had been used for the analysis and predictive model. This model will help the governments and especially individuals to take more precautions whenever a virus case reports in their region.

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Patent Information

Application #
Filing Date
22 March 2021
Publication Number
14/2021
Publication Type
INA
Invention Field
COMPUTER SCIENCE
Status
Email
Parent Application

Applicants

RAJESH R
Department of Computer Science, CHRIST(Deemed to be University), Hosur Road, Bangalore, Karnataka, India 560029.
NIJU P JOSEPH
Department of Computer Science, CHRIST(Deemed to be University), Hosur Road, Bangalore, Karnataka, India 560029.
SAGAYA AURELIA P
Department of Computer Science, CHRIST(Deemed to be University), Hosur Road, Bangalore, Karnataka, India 560029.

Inventors

1. RAJESH R
Department of Computer Science, CHRIST(Deemed to be University), Hosur Road, Bangalore, Karnataka, India 560029.
2. NIJU P JOSEPH
Department of Computer Science, CHRIST(Deemed to be University), Hosur Road, Bangalore, Karnataka, India 560029.
3. SAGAYA AURELIA P
Department of Computer Science, CHRIST(Deemed to be University), Hosur Road, Bangalore, Karnataka, India 560029.

Specification

We claim,
1) A system for predicting the probabilities of transfer of viruses from animals to humans and a method thereof, comprising:
Read the human data
Determine the risks of virus affection using data mining tool and
Predict virus transfer rate
2) The method of claim 1, wherein the human data comprises of following categories
Personal
Past
Food Habits
Medication
3) The method of claim 2 , wherein these data is applied for determining the chances of occurrences of viruses transfer using data mining algorithm
4) The method of claim 3, wherein the prediction is calculated based on a data mining tool.

Documents

Application Documents

# Name Date
1 202141012175-Abstract_As Filed_22-03-2021.pdf 2021-03-22
1 202141012175-Form9_Early Publication_22-03-2021.pdf 2021-03-22
2 202141012175-Claims_As Filed_22-03-2021.pdf 2021-03-22
2 202141012175-Form5_As Filed_22-03-2021.pdf 2021-03-22
3 202141012175-Correspondence_As Filed_22-03-2021.pdf 2021-03-22
3 202141012175-Form3_As Filed_22-03-2021.pdf 2021-03-22
4 202141012175-Description Complete_As Filed_22-03-2021.pdf 2021-03-22
4 202141012175-Form2 Title Page_Complete_22-03-2021.pdf 2021-03-22
5 202141012175-Form1_As Filed_22-03-2021.pdf 2021-03-22
5 202141012175-Drawings_As Filed_22-03-2021.pdf 2021-03-22
6 202141012175-Drawings_As Filed_22-03-2021.pdf 2021-03-22
6 202141012175-Form1_As Filed_22-03-2021.pdf 2021-03-22
7 202141012175-Description Complete_As Filed_22-03-2021.pdf 2021-03-22
7 202141012175-Form2 Title Page_Complete_22-03-2021.pdf 2021-03-22
8 202141012175-Correspondence_As Filed_22-03-2021.pdf 2021-03-22
8 202141012175-Form3_As Filed_22-03-2021.pdf 2021-03-22
9 202141012175-Claims_As Filed_22-03-2021.pdf 2021-03-22
9 202141012175-Form5_As Filed_22-03-2021.pdf 2021-03-22
10 202141012175-Form9_Early Publication_22-03-2021.pdf 2021-03-22
10 202141012175-Abstract_As Filed_22-03-2021.pdf 2021-03-22