Evidence map›Paper›PMID 35126631›Full record

ArticleComputational and mathematical methods in medicine2022

Global Stability Analysis and Parameter Estimation for a Diphtheria Model: A Case Study of an Epidemic in Rohingya Refugee Camp in Bangladesh.

Zahurul Islam, Shohel Ahmed, M M Rahman, M F Karim, M R Amin

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

5 authors.

Zahurul IslamDepartment of Mathematics, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh.ORCID https://orcid.org/0000-0002-6413-9445
Shohel AhmedDepartment of Mathematics, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh.ORCID https://orcid.org/0000-0002-1639-0950
M M RahmanDepartment of Mathematics, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh.ORCID https://orcid.org/0000-0001-7962-7049
M F KarimDepartment of Mathematical and Physical Sciences, East West University, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-7704-3813
M R AminDepartment of Mathematical and Physical Sciences, East West University, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0001-6650-0081

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we have developed a deterministic Susceptible-Latent-Infectious-Recovered (SLIR) model for diphtheria outbreaks. Here, we have studied a case of the diphtheria outbreak in the Rohingya refugee camp in Bangladesh to trace the disease dynamics and find out the peak value of the infection. Both analytical and numerical investigations have been performed on the model to find several remarkable behaviors like the positive and bounded solution, basic reproductive ratio, and equilibria such as disease extinction equilibrium and disease persistence equilibrium which are characterized depending on the basic reproductive ratio and global stability of the model using Lyapunov function for both equilibria. Parameter estimation has been performed to determine the values of the parameter from the daily case data using numerical technique and determined the value of the basic reproductive number for the outbreak as

Indexed as

EpidemicsEpidemiological ModelsRefugee CampsBangladeshBasic Reproduction NumberComputational BiologyComputer SimulationDiphtheriaHumansNonlinear Dynamics

Identifiers

PMID35126631
PMCPMC8813233

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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.