What question did this study set out to answer?

To jointly model multivariate longitudinal outcomes and the cure proportion in HIV/AIDS patients using latent Gaussian models.

March 15, 2026Scientific ReportsOpen Access

Spatial joint modelling of multivariate longitudinal outcomes and cure proportion using latent Gaussian model with application to dataset on HIV/AIDS patients

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Authors

AEAniefiok Henry EkongFederal University of Agriculture OOOlayini Matthew OlayiwolaFederal University of Agriculture GDG. A. DawoduFederal University of Agriculture

Discussion

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Implication

Joint modelling reveals spatial variation in longitudinal outcomes and cure proportions for HIV/AIDS, suggesting new insights into treatment efficacy.

Key Points

To jointly model multivariate longitudinal outcomes and the cure proportion in HIV/AIDS patients using latent Gaussian models.
Utilized latent Gaussian models for joint modelling with spatial variation
Employed spline specification for nonlinear trajectories of biomarkers
Assumed spatial dependence with a conditionally autoregressive prior
Applied inverse-Wishart prior for random effects covariance matrix
Implemented binomial distribution for latent cure classification
Significant random spatial variability observed for biomarkers and cure probabilities
Predicted cure proportion was 61%
Susceptible proportion predicted at 39%

Cite This Study

Ekong et al. (2026) studied this question.

synapsesocial.com/papers/69b606ea83145bc643d1d782 https://doi.org/10.1038/s41598-025-33611-5

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Implication

Joint modelling reveals spatial variation in longitudinal outcomes and cure proportions for HIV/AIDS, suggesting new insights into treatment efficacy.

Spatial joint modelling of multivariate longitudinal outcomes and cure proportion using latent Gaussian model with application to dataset on HIV/AIDS patients

Discussion

Member takes

Implication

Key Points

Cite This Study

Spatial joint modelling of multivariate longitudinal outcomes and cure proportion using latent Gaussian model with application to dataset on HIV/AIDS patients

Discussion

Member takes

Implication

Key Points

Cite This Study

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