ArticleIET systems biology2019
Competitive numerical analysis for stochastic HIV/AIDS epidemic model in a two-sex population.
Article in IET systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
The trial behind it
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Who cites it
5 citing papers in PubMed, 25 citations in OpenAlex.
- Analyses of an age structure HIV/AIDS compartmental model with optimal control theory.Scientific reports · 2025Article
- Investigating the impact of stochasticity on HIV infection dynamics in CD4Scientific reports · 2024Article
- Data-driven analysis of the effect of screening and treatment on the spread of HIV in developing and developed countries.Frontiers in public health · 2024Article
- Design of nonstandard computational method for stochastic susceptible-infected-treated-recovered dynamics of coronavirus model.Advances in difference equations · 2020Article
- Modeling the effect of delay strategy on transmission dynamics of HIV/AIDS disease.Advances in difference equations · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study is an attempt to explain a reliable numerical analysis of a stochastic HIV/AIDS model in a two-sex population considering counselling and antiretroviral therapy (ART). The authors are comparing the solutions of the stochastic and deterministic HIV/AIDS epidemic model. Here, an endeavour has been made to explain the stochastic HIV/AIDS epidemic model is comparatively more pragmatic in contrast with the deterministic HIV/AIDS epidemic model. The effect of threshold number
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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.