Membrane computing simulation of sexually transmitted bacterial infections in hotspots of individuals with various risk behaviors.

ABSTRACT: The epidemiology of sexually transmitted infections (STIs) is complex due to the coexistence of various pathogens, the variety of transmission modes derived from sexual orientations and behaviors at different ages and genders, and sexual contact hotspots resulting in network transmission. There is also a growing proportion of recreational drug users engaged in high-risk sexual activities, as well as pharmacological self-protection routines fostering non-condom practices. The frequency of asymptomatic patients makes it difficult to develop a comprehensive approach to STI epidemiology. Modeling approaches are required to deal with such complexity. Membrane computing is a natural computing methodology for the virtual reproduction of epidemics under the influence of deterministic and stochasti

SUBMITTER: Campos M 

PROVIDER: S-EPMC10845966 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature