Evidence map›Paper›PMID 41910685›Full record

ArticleTheory in biosciences = Theorie in den Biowissenschaften2026

Stochastic analysis of a generalized reaction-diffusion epidemic model with latency and Black-Karasinski process.

Tan Su, Yonggui Kao, Daqing Jiang

Abstract read
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In one paragraph

Article in Theory in biosciences = Theorie in den Biowissenschaften, 2026. 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

3 authors.

Tan SuDepartment of Mathematics, Harbin Institute of Technology, Weihai, 264209, China.
Yonggui KaoDepartment of Mathematics, Harbin Institute of Technology, Weihai, 264209, China. ygkao2006@163.com.
Daqing JiangCollege of Science, China University of Petroleum (East China), Qingdao, China.

Funding

National Natural Science Foundation of China No. 62373119
6 · The paper itself

Abstract

As population mobility and environmental noise are crucial for pathogen spread, this paper constructs stochastic partial differential equations to study the dynamic evolution of an epidemic model with latency and general incidence rates, which is the first attempt to consider the Black-Karasinski mean-reverting process as the perturbation in a reaction-diffusion system. Based on the unique existence verification of the global classical solution that guarantees the availability of It

Indexed as

Communicable DiseasesEpidemicsAlgorithmsComputer SimulationHumansIncidenceModels, BiologicalStochastic ProcessesGeneral nonlinear incidenceLocal density functionPersistence and exponential extinctionStochastic partial differential equations

Identifiers

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Registered trials

None linked

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.