Evidence map›Paper›PMID 38824180›Full record

ArticleScientific reports2024

Optimal control strategies for toxoplasmosis disease transmission dynamics via harmonic mean-type incident rate.

Usman Khan, Farhad Ali, Ohud A Alqasem, Maysaa E A Elwahab, Ilyas Khan, Ariana Abdul Rahimzai

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Cysteine-S-nitrosylation inhibits Rop5-mediated immune evasion inbioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Establishment of an ELISA for detecting oocyst-derivedFrontiers in veterinary science · 2025
    Article
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

6 authors.

Usman KhanDepartment of Mathematics, City University of Science and Information Technology, Peshawar, 25000, Khyber Pakhtunkhwa, Pakistan.
Farhad AliDepartment of Mathematics, City University of Science and Information Technology, Peshawar, 25000, Khyber Pakhtunkhwa, Pakistan. farhadali@cusit.edu.pk.
Ohud A AlqasemDepartment of Mathematical Sciences, College of Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.
Maysaa E A ElwahabDepartment of Mathematical Sciences, College of Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.
Ilyas KhanDepartment of Mathematics, College of Science Al-Zulfi, Majmaah University, 11952, Al-Majmaah, Saudi Arabia. i.said@mu.edu.sa.
Ariana Abdul RahimzaiDepartment of Mathematics, Education Faculty, Laghman University, Mehtarlam City, 2701, Laghman, Afghanistan. Ariana.Abdulrahimzai@lu.edu.af.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toxoplasma infection in humans is considered due to direct contact with infected cats. Toxoplasma infection (an endemic disease) has the potential to affect various organs and systems (brain, eyes, heart, lungs, liver, and lymph nodes). Bilinear incidence rate and constant population (birth rate is equal to death rate) are used in the literature to explain the dynamics of Toxoplasmosis disease transmission in humans and cats. The goal of this study is to consider the mathematical model of Toxoplasma disease with harmonic mean type incident rate and also consider that the population of humans and cats is not equal (birth rate and the death rate are not equal). In examining Toxoplasma transmission dynamics in humans and cats, harmonic mean incidence rates are better than bilinear incidence rates. The disease dynamics are first schematically illustrated, and then the law of mass action is applied to obtain nonlinear ordinary differential equations (ODEs). Analysis of the boundedness, positivity, and equilibrium points of the system has been analyzed. The reproduction number is calculated using the next-generation matrix technique. The stability of disease-free and endemic equilibrium are analyzed. Sensitivity analysis is also done for reproduction number. Numerical simulation shows that the infection is spread in the population when the contact rate

Indexed as

ToxoplasmosisAnimalsCatsComputer SimulationHumansIncidenceModels, TheoreticalToxoplasmaDeterministic epidemic modelNumerical simulationOptimal controlStability analysisToxoplasmosis transmission

Identifiers

PMID38824180
PMCPMC11637078

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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.