Evidence map›Paper›PMID 40205551›Full record

ArticleBMC infectious diseases2025

An epidemiological model of monkeypox: model prediction and control application.

Min Qian, Danyang Li, Zihan Hao, Shujuan Hu, Weide Li

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Min QianSchool of Mathematics and Statistics, Lanzhou University, Lanzhou, 730000, China.
Danyang LiSchool of Mathematics and Statistics, Lanzhou University, Lanzhou, 730000, China.
Zihan HaoCollege of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China.
Shujuan HuCollege of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China.
Weide LiSchool of Mathematics and Statistics, Lanzhou University, Lanzhou, 730000, China. weideli@lzu.edu.cn.

Funding

National Key Research and Development Program of China 2023YFC3503401National Natural Science Foundation of China 42130113
6 · The paper itself

Abstract

backgroundMonkeypox (Mpox) is an  emerging infectious disease caused by the Mpox virus (MPX Virus). The outbreak of Mpox epidemic has caused global panic and is now a public health incident. Various approaches have been proposed in the recent literature to study and analyze the epidemiological dynamics of this infection and effective prevention and control measures. Using mathematical model to understand the transmission dynamics and control strategy is a useful way to understand the prevention of Mpox.

methodsA new compartment model is established to examine the effectiveness of vaccine on Mpox based on previous studies. Nonlinear least squares fitting is used for model's parameter estimation. The impact of a series of preventive and control measures on the epidemic control is explored with optimal control theory in conjunction with the official data released by the authorities.

resultsFirstly, a stability analysis of the developed model was carried out to show that, under certain circumstances, its equilibrium is both locally and globally stable. Secondly, based on the reported cases of Mpox infection in the United States between 2022 and 2023, the model's optimal parameter values were obtained. A sensitivity analysis of the model parameters was then conducted to identify the key parameters that affect the development of Mpox epidemics in the United States. Lastly, the comparison of control effects under various control strategies showed that implementing the all suggested four control measures at the same time was the most effective way to curb the development of monkeypox epidemic in the United States.

conclusionsThis study has theoretical significance for understanding and controlling Mpox virus transmission.

Indexed as

Epidemiological ModelsMpox, MonkeypoxDisease OutbreaksHumansModels, TheoreticalMonkeypox virusUnited StatesMpox transmission modelOptimal control strategyParameter estimationSensitivity analysisUnited State

Identifiers

PMID40205551
PMCPMC11980250

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LicenceCC BY-NC-ND
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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.