Evidence map›Paper›PMID 39430522›Full record

ArticleHeliyon2024

Optimal control and cost-effectiveness analysis of Fasciola hepatica model.

Dagnaw Tantie Yihunie, Joseph Y T Mugisha, Dawit Melese Gebru, Haileyesus Tessema Alemneh

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Dagnaw Tantie YihunieDepartment of Mathematics, Bahir Dar University, Debre Tabor University, Ethiopia.
Joseph Y T MugishaDepartment of Mathematics, Makerere University, P.O. Box 7062, Kampala, Uganda.
Dawit Melese GebruDepartment of Mathematics, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia.
Haileyesus Tessema AlemnehDepartment of Mathematics, University of Gondar, P.O. Box 196, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A deterministic model with an optimal control framework is formulated to analyse the cost-effectiveness of intervention measures used to control Fasciola hepatica in cattle populations. Using the Volterra-Lyapunov stability method, it is noted that the model is globally stable at the endemic equilibrium point. The Pontryagin maximum principle has been applied to determine optimal disease control conditions, including strategies such as pasture management, treatment of infected cattle, and molluscicide use. Numerical simulations for the optimum problem show that double and triple controls have significant effects on reducing disease transmission. The results indicate that for optimal impact, the molluscicide control parameter should always be at its highest possible value. The incremental cost-effectiveness ratio (ICER) analysis of strategies to reduce the disease shows that pasture management combined with molluscicide use will be the most effective and least expensive option. The molluscicide intervention rate should always be at its maximum value for better control of the disease. Educational programs for proper pasture management conditions and sufficient use of molluscicides can significantly reduce the spread of Fasciola hepatica among cattle and humans.

Indexed as

Cost-effectivenessGlobal stabilityOptimal controlPontryagin maximum principleVolterra–Lyapunov stability

Identifiers

PMID39430522
PMCPMC11489340

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.