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Fish-borne parasitic zoonoses transmission dynamics: The case of anisakiasis

Authors :
Joshua A. Mwasunda
Jacob I. Irunde
Mussa A. Stephano
Chacha S. Chacha
Source :
Informatics in Medicine Unlocked, Vol 38, Iss , Pp 101205- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Anisakiasis is a fish-borne parasitic disease that poses threat to human health and food safety, affecting peoples’ livelihood and the economy of countries. In this paper, a mathematical model for transmission dynamics of anisakiasis is formulated and analyzed. The analysis shows that both the disease free and endemic equilibria exist. To study the dynamics of anisakiasis, the basic reproduction number R0 is derived using the next generation matrix method. Lyapunov functions are used to assess the global stability of model equilibria. The disease free equilibrium is globally asymptotically stable whenever R01. The normalized forward sensitivity index is adopted to determine sensitivity indices of model parameters. The rate at which marine mammals release anisakid eggs η, recruitment rates for fish and crustaceans Λf and Λc, and their infection rates βf and βc respectively, and the rates at which marine mammals are recruited Λm and the rate at which susceptible marine mammals become carriers βm are the most positive sensitive parameters. The natural death rate for marine mammals μm is the most negative sensitive parameter suggesting that marine mammals drive anisakiasis. Control measures implemented to control anisakiasis using improved fish treatment reveal that the number of infected humans declines significantly with improved fish treatment giving sufficient anisakiasis control. Therefore, to control anisakiasis, more efforts should be directed towards improving fish treatment which involves the use of microwaving, heating, salting, freezing and use of anthelmintic drugs.

Details

Language :
English
ISSN :
23529148
Volume :
38
Issue :
101205-
Database :
Directory of Open Access Journals
Journal :
Informatics in Medicine Unlocked
Publication Type :
Academic Journal
Accession number :
edsdoj.fc654ae61d3f4f83811f9aa66dadebfd
Document Type :
article
Full Text :
https://doi.org/10.1016/j.imu.2023.101205