| Abstract: | Interventions aimed at preventing HIV transmission include avoidance behaviors like condom use and reduced partner acquisition. In turn., engagement in such activities might also entail changed patterns of travel to evade contact with infected individuals. One method of estimating the effects of these actions on the observed distribution of HIV/AIDS involves the specification of space‐time models that imitate the epidemic process. This paper presents an application of this procedure where prevention is construed as a continuous population response to the evolving distribution of HIV and AIDS. This task entails the construction of models with time‐dependent parameters adapted to predicted prevalence or incidence measures to represent the effects of specific avoidance behaviors. In this respect, a multiregion model is described that serves as a baseline for analyzing the impact of preventative actions on the HIV/AIDS epidemic in Western Europe. A series of adaptation functions are derived within this system for imitating both changed rates of partner acquisition and altered travel behaviors. The results elicit modifications to the behavior of the baseline epidemic that are generated by each of these functions. Then, the conditions supporting space‐time variations in rates of survival between core countries (relatively low) and those in the periphery (relatively high) are investigated. The discussion considers the implications of these results for health policies that promote avoidance behaviors. |
