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Dynamic Modeling of Herpes Simplex Virus Type-2 (HSV-2) Transmission: Issues in Structural Uncertainty

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Abstract

The sexually transmitted infection (STI) Herpes simplex virus type-2 (HSV-2) is of public health concern because it is a very common frequently unrecognized lifelong infection, which may facilitate HIV transmission. Within HIV/STI modeling, structural uncertainty has received less attention than parametric uncertainty. By merging the compartments of a “complex” model, a “simple” HSV-2 model is developed. Sexual interactions between female sex workers (FSWs) and clients are modeled using data from India. Latin Hypercube Sampling selects from parameter distributions and both models are run for each of the 10,000 parameter sets generated. Outputs are compared (except for 2,450 unrealistic simulations). The simple model is a good approximation to the complex model once the HSV-2 epidemic has reached 60% of the equilibrium prevalence (95% of the 7,550 runs produced <10% relative error). The simple model is a reduced version of the complex model that retains details implicitly. For late-stage epidemics, the simple model gives similar prevalence trends to the complex model. As HSV-2 epidemics in many populations are advanced, the simple model is accurate in most instances, although the complex model may be preferable for early epidemics. The analysis highlights the issue of structural uncertainty and the value of reducing complexity.

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Authors and Affiliations

  1. London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK

    Anna M. Foss, Peter T. Vickerman, Zaid Chalabi, Philippe Mayaud & Charlotte H. Watts

  2. Centre hospitalier affilié universitaire de Québec, Québec, Canada

    Michel Alary

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  1. Anna M. Foss
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  2. Peter T. Vickerman
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  3. Zaid Chalabi
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  4. Philippe Mayaud
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  5. Michel Alary
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  6. Charlotte H. Watts
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Correspondence to Anna M. Foss.

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Foss, A.M., Vickerman, P.T., Chalabi, Z. et al. Dynamic Modeling of Herpes Simplex Virus Type-2 (HSV-2) Transmission: Issues in Structural Uncertainty. Bull. Math. Biol. 71, 720–749 (2009). https://doi.org/10.1007/s11538-008-9379-1

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  • DOI: https://doi.org/10.1007/s11538-008-9379-1

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