Fine scale geospatial analysis of human immunodeficiency viruses (HIV) infection patterns can be used to facilitate geographically targeted interventions. The objective of this study was to use geospatial technology to map age and time standardised HIV incidence rates over a period of 10 years to identify communities at high risk of HIV in the greater Durban area in South Africa. Participants included in the analyses were women over the age of 16. Over 7,500 women were included, 768 (10%) of which fell into the 20 years and under age bracket, 1,554 (21%) into the 35 and over age bracket, and the remaining fell between 21 and 34 years of age.
Study design
Cohort
Number of participants at first data collection
7,557 (participants)
Age at first data collection
≥ 16 years (participants)
Participant year of birth
Varied (participants)
Participant sex
Female
Representative sample at baseline?
No
Sample features
Country
Year of first data collection
2002
Primary Institutions
University of KwaZulu-Natal (INyuvesi yakwaZulu-Natali, UKZN)
Links
No website available
Profile paper DOI
Funders
South African Medical Research Council (SAMRC)
Ongoing?
Yes
Data types collected
Engagement
Keywords