ArticleInfectious Disease Modelling2022
Analysing the impact of migration on HIV/AIDS cases using epidemiological modelling to guide policy makers.
Article in Infectious Disease Modelling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 17 citations in OpenAlex.
- Local and global stability analysis of HIV/AIDS by using a nonstandard finite difference scheme.Scientific reports · 2025Article
- The urgent need for newer drugs in routine HIV treatment in Africa: the case of Ghana.Frontiers in epidemiology · 2025Review
- An ALP enzyme-based electrochemical biosensor coated with signal-amplifying BaTiONanoscale advances · 2024Article
- Understanding HIV/AIDS dynamics: insights from CD4+T cells, antiretroviral treatment, and country-specific analysis.Frontiers in public health · 2024Article
- The Vulnerability of International Floating Populations to Sexually Transmitted Infections: A Qualitative Study.Healthcare (Basel, Switzerland) · 2023Article
- "It was protected, except, it wasn't [with] a condom": a mixed-methods study of BBVs/STIs protective practices among International University Students in Sydney, Australia.BMC public health · 2022Article
- Are Unequal Policies in Pre-Exposure Prophylaxis Uptake Needed to Improve Equality? An Examination Among Men Who Have Sex with Men in Los Angeles County.AIDS patient care and STDs · 2022Article
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Authors and funding
4 authors at 4 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we present the impact of migration on the spread of HIV and AIDS cases. A simple model for HIV and AIDS that incorporates migration and addresses its contributions to the spread of HIV and AIDS cases was constructed. The model was calibrated to HIV and AIDS incidence data from Malaysia. We explore the use of Markov chain Monte Carlo (MCMC) simulation method to estimate uncertainty in all the unknown parameters incorporated in our proposed model. Among the migrant population, 1.5572e-01 were susceptible to HIV transmission, which constituted 67,801 migrants. A proportion of migrants, 6.3773e-04, were estimated to be HIV infected, constituting 278 migrants. There were 72 (per 10,000) migrants estimated to have had AIDS, representing a proportion of 1.6611e-08. The result suggests that the disease-free steady state was unstable since the estimated basic reproduction number
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