ArticleTheory in biosciences = Theorie in den Biowissenschaften2026
Stochastic analysis of a generalized reaction-diffusion epidemic model with latency and Black-Karasinski process.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
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
Identifiers
41910685What OpenQuestion holds
Registered trials
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.