Application of machine learning models for risk estimation and risk prediction of classical swine fever in Assam, India-Reference-Cited by-同舟云学术

Application of machine learning models for risk estimation and risk prediction of classical swine fever in Assam, India

Published:2023-11-10 Issue:4 Volume:34 Page:514-525
ISSN:2347-3584
Container-title:VirusDisease
language:en
Short-container-title:VirusDis.

Author:

Suresh Kuralayanapalya Puttahonnappa,Barman Nagendra Nath,Bari Tarushree,Jagadish Dikshitha,Sushma Bylaiah,Darshan H. V.,Patil Sharanagouda S.,Bora Mousumi,Deka Abhijit

Funder

Department of Biotechnology, Ministry of Science and Technology, India

Publisher

Springer Science and Business Media LLC

Subject

Infectious Diseases,Virology

Link

https://link.springer.com/content/pdf/10.1007/s13337-023-00847-6.pdf

Reference28 articles.

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2. Blome S, Staubach C, Henke J, Carlson J, Beer M. Classical swine fever—an updated review. Viruses. 2017;9(4): 86.

3. Bora M, Bora DP, Manu M, Barman NN, Dutta LJ, Kumar PP, Poovathikkal S, Suresh KP, Nimmanapalli R. Assessment of risk factors of African swine fever in India: perspectives on future outbreaks and control strategies. Pathogens. 2020;9(12): 1044. https://doi.org/10.3390/pathogens9121044.

4. Coronado L, Perera CL, Rios L, Frías MT, Pérez LJ. A critical review about different vaccines against classical swine fever virus and their repercussions in endemic regions. Vaccines. 2021;9(2): 154.

5. Ganges L, Crooke HR, Bohórquez JA, Postel A, Sakoda Y, Becher P, Ruggli N. Classical swine fever virus: the past, present and future. Virus Res. 2020;289: 198151. https://doi.org/10.1016/j.virusres.2020.198151.

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