Modeling and Analysis of Fasciola Hepatica Disease Transmission
In this paper, a mathematical model for the transmission dynamics of Fasciola hepatica in cattle and snail populations is formulated and analyzed. The snail mortality rate (μs) is the most important factor that indirectly impacts the basic reproduction number (R0). A 50% change, either an increase o...
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2024/8843680 |
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| author | Dagnaw Tantie Yihunie Joseph Y. T. Mugisha Dawit Melese Gebru Haileyesus Tessema Alemneh |
| author_facet | Dagnaw Tantie Yihunie Joseph Y. T. Mugisha Dawit Melese Gebru Haileyesus Tessema Alemneh |
| author_sort | Dagnaw Tantie Yihunie |
| collection | DOAJ |
| description | In this paper, a mathematical model for the transmission dynamics of Fasciola hepatica in cattle and snail populations is formulated and analyzed. The snail mortality rate (μs) is the most important factor that indirectly impacts the basic reproduction number (R0). A 50% change, either an increase or decrease, in the snail mortality rate will result in an approximate 50% change in the opposite direction in the value of R0. The model shows a forward bifurcation at R0=1, indicating that the disease dynamics undergo a critical transition at this threshold. This change signifies a transition from a disease-free state to a persistent infection, highlighting the possibility of a continuous disease presence given specific epidemiological conditions. Simulations show that reducing miracidia, metacercariae, and snail populations, improving treatment, and lowering pathogen transfer between cattle and snails significantly decrease disease prevalence in cattle. To control the disease, transmission rates for cattle and snails must be reduced below γc=1.4338×10−7 and γs=1.1473×10−8, respectively. Current treatments are insufficient, and a combination of improved treatments reduced transmission rates, and increased snail mortality is recommended for better disease control. |
| format | Article |
| id | doaj-art-6b4f423dda4c4ad88cf5844363745bca |
| institution | Kabale University |
| issn | 1687-0409 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-6b4f423dda4c4ad88cf5844363745bca2025-02-03T07:23:36ZengWileyAbstract and Applied Analysis1687-04092024-01-01202410.1155/2024/8843680Modeling and Analysis of Fasciola Hepatica Disease TransmissionDagnaw Tantie Yihunie0Joseph Y. T. Mugisha1Dawit Melese Gebru2Haileyesus Tessema Alemneh3Department of MathematicsDepartment of MathematicsDepartment of MathematicsDepartment of MathematicsIn this paper, a mathematical model for the transmission dynamics of Fasciola hepatica in cattle and snail populations is formulated and analyzed. The snail mortality rate (μs) is the most important factor that indirectly impacts the basic reproduction number (R0). A 50% change, either an increase or decrease, in the snail mortality rate will result in an approximate 50% change in the opposite direction in the value of R0. The model shows a forward bifurcation at R0=1, indicating that the disease dynamics undergo a critical transition at this threshold. This change signifies a transition from a disease-free state to a persistent infection, highlighting the possibility of a continuous disease presence given specific epidemiological conditions. Simulations show that reducing miracidia, metacercariae, and snail populations, improving treatment, and lowering pathogen transfer between cattle and snails significantly decrease disease prevalence in cattle. To control the disease, transmission rates for cattle and snails must be reduced below γc=1.4338×10−7 and γs=1.1473×10−8, respectively. Current treatments are insufficient, and a combination of improved treatments reduced transmission rates, and increased snail mortality is recommended for better disease control.http://dx.doi.org/10.1155/2024/8843680 |
| spellingShingle | Dagnaw Tantie Yihunie Joseph Y. T. Mugisha Dawit Melese Gebru Haileyesus Tessema Alemneh Modeling and Analysis of Fasciola Hepatica Disease Transmission Abstract and Applied Analysis |
| title | Modeling and Analysis of Fasciola Hepatica Disease Transmission |
| title_full | Modeling and Analysis of Fasciola Hepatica Disease Transmission |
| title_fullStr | Modeling and Analysis of Fasciola Hepatica Disease Transmission |
| title_full_unstemmed | Modeling and Analysis of Fasciola Hepatica Disease Transmission |
| title_short | Modeling and Analysis of Fasciola Hepatica Disease Transmission |
| title_sort | modeling and analysis of fasciola hepatica disease transmission |
| url | http://dx.doi.org/10.1155/2024/8843680 |
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