Gaussian process emulation to improve efficiency of computationally intensive multidisease models: a practical tutorial with adaptable R code.
Sharon Jepkorir SaweRichard MugoMarta G Wilson-BarthesBrianna OsetinskyStavroula A ChrysanthopoulouFaith YegoAnn MwangiOmar GalárragaPublished in: BMC medical research methodology (2024)
The emulator presented in this tutorial offers a practical and flexible modelling tool that can help inform health policy-making in countries with a generalized HIV epidemic and growing NCD burden. Future emulator applications could be used to forecast the changing burden of HIV, hypertension and depression over an extended (> 10 year) period, estimate longer-term prevalence of other co-occurring conditions (e.g., postpartum depression among women living with HIV), and project the impact of nationally-prioritized interventions such as national health insurance schemes and differentiated care models.
Keyphrases
- health insurance
- quality improvement
- healthcare
- antiretroviral therapy
- hiv positive
- affordable care act
- hiv infected
- hiv testing
- human immunodeficiency virus
- public health
- hepatitis c virus
- depressive symptoms
- hiv aids
- risk factors
- men who have sex with men
- mental health
- blood pressure
- sleep quality
- physical activity
- polycystic ovary syndrome
- palliative care
- south africa
- current status
- preterm infants
- risk assessment
- metabolic syndrome
- skeletal muscle
- insulin resistance
- social media
- breast cancer risk
- chronic pain