High-Risk Clusters

Risks & contraindications

Evidence quality

Where it comes from

Highlighted claims

• Kulldorff spatial scan statistic found four significant high-risk clusters in 2012 and one in 2018. — Spatial distribution of HIV prevalence and associated factors in Guinea: retrospective cross-sectional study using Demographic and Health Surveys (DHS) data from 2012 and 2018
• The Matam cluster in Conakry had higher HIV risk than areas outside the cluster. — Spatial distribution of HIV prevalence and associated factors in Guinea: retrospective cross-sectional study using Demographic and Health Surveys (DHS) data from 2012 and 2018
• The N'zerekore cluster had the highest 2012 relative risk and was located in a border zone with intense cross-border movement. — Spatial distribution of HIV prevalence and associated factors in Guinea: retrospective cross-sectional study using Demographic and Health Surveys (DHS) data from 2012 and 2018
• The 2018 Boffa-Boke cluster was linked to mining expansion, border proximity, fishing ports, job-seeker influxes, and sex trade activity as possible contributors. — Spatial distribution of HIV prevalence and associated factors in Guinea: retrospective cross-sectional study using Demographic and Health Surveys (DHS) data from 2012 and 2018
• The 2012 Kissidougou cluster may be related to conflict-linked displacement and risky transmission conditions. — Spatial distribution of HIV prevalence and associated factors in Guinea: retrospective cross-sectional study using Demographic and Health Surveys (DHS) data from 2012 and 2018
• The Pita cluster may reflect mobility patterns that increase concurrent partnerships, sex work, and low condom use. — Spatial distribution of HIV prevalence and associated factors in Guinea: retrospective cross-sectional study using Demographic and Health Surveys (DHS) data from 2012 and 2018