Membrane computing simulation of sexually transmitted bacterial infections in hotspots of individuals with various risk behaviors
ABSTRACTThe 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. Th...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Society for Microbiology
2024-02-01
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| Series: | Microbiology Spectrum |
| Subjects: | |
| Online Access: | https://journals.asm.org/doi/10.1128/spectrum.02728-23 |