Uncovering the impact of randomness in HIV hotspot formation: A mathematical modeling study
Early random fluctuations contribute to the emergence and persistence of prevalence outliers, especially in smaller communities. Recognizing the role of randomness in prevalence outlier formation in these settings is crucial for refining HIV control strategies, as traditional methods may overlook these areas. Adaptive surveillance systems can enhance detection and intervention efforts for HIV and future pandemics.
Authors
- Samuel Mwalili (ORCID: https://orcid.org/0000-0002-9703-6514)
- Diego F. Cuadros (ORCID: https://orcid.org/0000-0001-7060-4203)
- Duncan Kioi Gathungu (ORCID: https://orcid.org/0000-0002-4447-2734)
- Nao Yamamoto (ORCID: https://orcid.org/0000-0003-3131-2368)
- Anna Bershteyn (ORCID: https://orcid.org/0000-0002-6604-7093)
- Daniel Citron (ORCID: https://orcid.org/0000-0002-1282-4176)
Institutions
- Strathmore University (KE)
- Jomo Kenyatta University of Agriculture and Technology (KE)
- Digital Science (United States) (US)
- New York University (US)
Publication Details
- Journal
- PLoS Computational Biology
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1371/journal.pcbi.1013178
- Primary Topic
- HIV, Drug Use, Sexual Risk
- Type
- article
- Field-Weighted Citation Impact
- 0.00