Identifying 'corridors of HIV transmission' in a severely affected rural South African population: a case for a shift toward targeted prevention strategies
<strong>Background</strong> In the context of a severe generalized African HIV epidemic, the value of geographically targeted prevention interventions has only recently been given serious consideration. However, to date no study has performed a population-based analysis of the micro-geog...
Main Authors: | , , , |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Oxford University Press
2017
|
_version_ | 1826295678220894208 |
---|---|
author | Tanser, F Bärnighausen, T Dobra, A Sartorius, B |
author_facet | Tanser, F Bärnighausen, T Dobra, A Sartorius, B |
author_sort | Tanser, F |
collection | OXFORD |
description | <strong>Background</strong>
In the context of a severe generalized African HIV epidemic, the value of geographically targeted prevention interventions has only recently been given serious consideration. However, to date no study has performed a population-based analysis of the micro-geographical clustering of HIV incident infections, limiting the evidential support for such a strategy.
<br><strong>
Methods</strong>
We followed 17 984 HIV-uninfected individuals aged 15–54 in a population-based cohort in rural KwaZulu-Natal, South Africa, and observed individual HIV sero-conversions between 2004 and 2014. We geo-located all individuals to an exact homestead of residence (accuracy <2 m). We then employed a two-dimensional Gaussian kernel of radius 3 km to produce robust estimates of HIV incidence which vary across continuous geographical space. We also applied Tango's flexibly shaped spatial scan statistic to identify irregularly shaped clusters of high HIV incidence.
<br><strong>
Results</strong>
Between 2004 and 2014, we observed a total of 2 311 HIV sero-conversions over 70 534 person-years of observation, at an overall incidence of 3.3 [95% confidence interval (CI), 3.1-3.4] per 100 person-years. Three large irregularly-shaped clusters of new HIV infections (relative risk = 1.6, 1.7 and 2.3) were identified in two adjacent peri-urban communities near the National Road (P = 0.001, 0.015) as well as in a rural node bordering a recent coal mine development (P = 0.020), respectively. Together the clusters had a significantly higher age-sex standardized incidence of 5.1 (95% CI, 4.7-5.6) per 100 person-years compared with a standardized incidence of 3.0 per 100 person-years (95% CI, 2.9-3.2) in the remainder of the study area. Though these clusters comprise just 6.8% of the study area, they account for one out of every four sero-conversions observed over the study period.
<br><strong>
Conclusions</strong>
Our study has revealed clear ‘corridors of transmission’ in this typical rural, hyper-endemic population. Even in a severely affected rural African population, an approach that seeks to provide preventive interventions to the most vulnerable geographies could be more effective and cost-effective in reducing the overall rate of new HIV infections. There is an urgent need to develop and test such interventions as part of an overall combination prevention approach. |
first_indexed | 2024-03-07T04:04:44Z |
format | Journal article |
id | oxford-uuid:c5c3aeae-9ca1-4585-a6cd-a90a0d0ffe2a |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-07T04:04:44Z |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | dspace |
spelling | oxford-uuid:c5c3aeae-9ca1-4585-a6cd-a90a0d0ffe2a2022-03-27T06:33:22ZIdentifying 'corridors of HIV transmission' in a severely affected rural South African population: a case for a shift toward targeted prevention strategiesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:c5c3aeae-9ca1-4585-a6cd-a90a0d0ffe2aEnglishSymplectic ElementsOxford University Press2017Tanser, FBärnighausen, TDobra, ASartorius, B<strong>Background</strong> In the context of a severe generalized African HIV epidemic, the value of geographically targeted prevention interventions has only recently been given serious consideration. However, to date no study has performed a population-based analysis of the micro-geographical clustering of HIV incident infections, limiting the evidential support for such a strategy. <br><strong> Methods</strong> We followed 17 984 HIV-uninfected individuals aged 15–54 in a population-based cohort in rural KwaZulu-Natal, South Africa, and observed individual HIV sero-conversions between 2004 and 2014. We geo-located all individuals to an exact homestead of residence (accuracy <2 m). We then employed a two-dimensional Gaussian kernel of radius 3 km to produce robust estimates of HIV incidence which vary across continuous geographical space. We also applied Tango's flexibly shaped spatial scan statistic to identify irregularly shaped clusters of high HIV incidence. <br><strong> Results</strong> Between 2004 and 2014, we observed a total of 2 311 HIV sero-conversions over 70 534 person-years of observation, at an overall incidence of 3.3 [95% confidence interval (CI), 3.1-3.4] per 100 person-years. Three large irregularly-shaped clusters of new HIV infections (relative risk = 1.6, 1.7 and 2.3) were identified in two adjacent peri-urban communities near the National Road (P = 0.001, 0.015) as well as in a rural node bordering a recent coal mine development (P = 0.020), respectively. Together the clusters had a significantly higher age-sex standardized incidence of 5.1 (95% CI, 4.7-5.6) per 100 person-years compared with a standardized incidence of 3.0 per 100 person-years (95% CI, 2.9-3.2) in the remainder of the study area. Though these clusters comprise just 6.8% of the study area, they account for one out of every four sero-conversions observed over the study period. <br><strong> Conclusions</strong> Our study has revealed clear ‘corridors of transmission’ in this typical rural, hyper-endemic population. Even in a severely affected rural African population, an approach that seeks to provide preventive interventions to the most vulnerable geographies could be more effective and cost-effective in reducing the overall rate of new HIV infections. There is an urgent need to develop and test such interventions as part of an overall combination prevention approach. |
spellingShingle | Tanser, F Bärnighausen, T Dobra, A Sartorius, B Identifying 'corridors of HIV transmission' in a severely affected rural South African population: a case for a shift toward targeted prevention strategies |
title | Identifying 'corridors of HIV transmission' in a severely affected rural South African population: a case for a shift toward targeted prevention strategies |
title_full | Identifying 'corridors of HIV transmission' in a severely affected rural South African population: a case for a shift toward targeted prevention strategies |
title_fullStr | Identifying 'corridors of HIV transmission' in a severely affected rural South African population: a case for a shift toward targeted prevention strategies |
title_full_unstemmed | Identifying 'corridors of HIV transmission' in a severely affected rural South African population: a case for a shift toward targeted prevention strategies |
title_short | Identifying 'corridors of HIV transmission' in a severely affected rural South African population: a case for a shift toward targeted prevention strategies |
title_sort | identifying corridors of hiv transmission in a severely affected rural south african population a case for a shift toward targeted prevention strategies |
work_keys_str_mv | AT tanserf identifyingcorridorsofhivtransmissioninaseverelyaffectedruralsouthafricanpopulationacaseforashifttowardtargetedpreventionstrategies AT barnighausent identifyingcorridorsofhivtransmissioninaseverelyaffectedruralsouthafricanpopulationacaseforashifttowardtargetedpreventionstrategies AT dobraa identifyingcorridorsofhivtransmissioninaseverelyaffectedruralsouthafricanpopulationacaseforashifttowardtargetedpreventionstrategies AT sartoriusb identifyingcorridorsofhivtransmissioninaseverelyaffectedruralsouthafricanpopulationacaseforashifttowardtargetedpreventionstrategies |