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. 2021 Apr 24;8(6):ofab211.
doi: 10.1093/ofid/ofab211. eCollection 2021 Jun.

Interplay Between Geography and HIV Transmission Clusters in Los Angeles County

Affiliations

Interplay Between Geography and HIV Transmission Clusters in Los Angeles County

Britt Skaathun et al. Open Forum Infect Dis. .

Abstract

Background: Clusters of HIV diagnoses in time and space and clusters of genetically linked cases can both serve as alerts for directing prevention and treatment activities. We assessed the interplay between geography and transmission across the Los Angeles County (LAC) HIV genetic transmission network.

Methods: Deidentified surveillance data reported for 8186 people with HIV residing in LAC from 2010 through 2016 were used to construct a transmission network using HIV-TRACE. We explored geographic assortativity, the tendency for people to link within the same geographic region; concordant time-space pairs, the proportion of genetically linked pairs from the same geographic region and diagnosis year; and Jaccard coefficient, the overlap between geographical and genetic clusters.

Results: Geography was assortative in the genetic transmission network but less so than either race/ethnicity or transmission risk. Only 18% of individuals were diagnosed in the same year and location as a genetically linked partner. Jaccard analysis revealed that cis-men and younger age at diagnosis had more overlap between genetic clusters and geography; the inverse association was observed for trans-women and Blacks/African Americans.

Conclusions: Within an urban setting with endemic HIV, genetic clustering may serve as a better indicator than time-space clustering to understand HIV transmission patterns and guide public health action.

Keywords: HIV infections/transmission; cluster analysis; molecular epidemiology.

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Figures

Figure 1.
Figure 1.
Los Angeles County Health Districts and Service Planning Area. Each Health District and Service Planning Area is shown in a unique color. Circles represent the number of new HIV diagnoses and sequences reported in each region, with the dark gray area proportional to the square root of the number of new HIV diagnoses and the light grey area proportional to the square root of the number of genomes reported in each region.
Figure 2.
Figure 2.
Assortativity of the Los Angeles County molecular transmission network by Health District residence at diagnosis. A, Clusters comprising ≥10 people. Color indicates Health District. Edges denote viral sequences ≤0.015 substitutions/site divergent. B, Assortativity of each Health District. The height of the bars indicates the number of individuals with a reported HIV genetic sequence from each Health District included in our analysis. The gray bars indicate the null expectation (from 1000 permutations) if individuals were sorting at random.

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