Evidence map›Paper›PMID 40569311›Full record

ArticleJournal of mathematical biology2025

Projected spread models.

Jung-Chao Ban, Jyy-I Hong, Cheng-Yu Tsai, Yu-Liang Wu

Abstract read
In one paragraph

Article in Journal of mathematical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Jung-Chao BanDepartment of Mathematical Sciences, National Chengchi University, Taipei, 11605, Taiwan, ROC.
Jyy-I HongDepartment of Mathematical Sciences, National Chengchi University, Taipei, 11605, Taiwan, ROC. hongjyyi@nccu.edu.tw.ORCID http://orcid.org/0000-0002-0397-3532
Cheng-Yu TsaiDepartment of Mathematical Sciences, National Chengchi University, Taipei, 11605, Taiwan, ROC.
Yu-Liang WuDepartment of Mathematical Sciences, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a disease transmission model that considers both explicit and non-explicit factors. This approach is crucial for accurate prediction and control of infectious disease spread. In this paper, we extend the spread model from our previous works (Ban et al. in Chaos Solitons Fractals 150:111106, 2021; Ban et al. in Chaos 33(6):063144, 2023; Ban et al. in J Math Biol 86(3):40, 2023; Ban et al. in Chaos 32(10):103113, 2023) to a projected spread model that considers both hidden and explicit types. Additionally, we provide the spread rate for the projected spread model corresponding to the topological and random models. Furthermore, examples and numerical results are provided to illustrate the theory.

Indexed as

Communicable DiseasesEpidemiological ModelsModels, BiologicalBasic Reproduction NumberComputer SimulationEpidemicsHumansMathematical ConceptsNonlinear DynamicsProjected spread modelRandom spread modelSpread rateTopological spread model

Identifiers

PMID40569311
PMCPMC12202681

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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.