Interplay Between Geography and HIV Transmission Clusters in Los Angeles County.
HIV infections/transmission
cluster analysis
molecular epidemiology
Journal
Open forum infectious diseases
ISSN: 2328-8957
Titre abrégé: Open Forum Infect Dis
Pays: United States
ID NLM: 101637045
Informations de publication
Date de publication:
Jun 2021
Jun 2021
Historique:
received:
22
03
2021
accepted:
20
04
2021
entrez:
23
6
2021
pubmed:
24
6
2021
medline:
24
6
2021
Statut:
epublish
Résumé
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. 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. 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. 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.
Sections du résumé
BACKGROUND
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
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
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
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.
Identifiants
pubmed: 34159215
doi: 10.1093/ofid/ofab211
pii: ofab211
pmc: PMC8212943
doi:
Types de publication
Journal Article
Langues
eng
Pagination
ofab211Subventions
Organisme : Medical Research Council
ID : MC_PC_19012
Pays : United Kingdom
Organisme : NIDA NIH HHS
ID : K01 DA049665
Pays : United States
Organisme : NIAID NIH HHS
ID : P30 AI036214
Pays : United States
Organisme : NIAID NIH HHS
ID : K01 AI110181
Pays : United States
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom
Organisme : NIAID NIH HHS
ID : R01 AI135992
Pays : United States
Informations de copyright
© The Author(s) 2021. Published by Oxford University Press on behalf of Infectious Diseases Society of America.
Références
Int J Epidemiol. 2007 Feb;36(1):20-2
pubmed: 17337468
J Med Microbiol. 2016 Jun;65(6):484-493
pubmed: 27046155
Science. 2004 Jan 16;303(5656):327-32
pubmed: 14726583
Med J Islam Repub Iran. 2018 Jun 28;32:53
pubmed: 30175079
Bull World Health Organ. 2002;80(6):477-82
pubmed: 12132006
Lancet HIV. 2019 Mar;6(3):e164-e172
pubmed: 30765313
J Acquir Immune Defic Syndr. 2015 Dec 1;70(4):444-51
pubmed: 26302431
Lancet HIV. 2018 Oct;5(10):e569-e577
pubmed: 30220531
Am J Public Health. 2020 Jan;110(1):37-44
pubmed: 31725317
J Acquir Immune Defic Syndr. 2015 Jan 1;68(1):46-54
pubmed: 25321182
BMJ. 1997 May 17;314(7092):1446-50
pubmed: 9167560
Emerg Infect Dis. 2019 May;25(5):988-991
pubmed: 31002076
PLoS Pathog. 2017 Jan 9;13(1):e1006000
pubmed: 28068413
Electron Physician. 2017 Aug 01;9(8):5149-5158
pubmed: 28979755
AIDS Behav. 2018 Apr;22(4):1265-1272
pubmed: 28884248
JAMA. 2019 Mar 5;321(9):844-845
pubmed: 30730529
Phys Rev E Stat Nonlin Soft Matter Phys. 2003 Feb;67(2 Pt 2):026126
pubmed: 12636767
J Infect Dis. 2020 Mar 28;221(8):1321-1330
pubmed: 31028702
J Med Virol. 1999 Feb;57(2):91-9
pubmed: 9892390
AIDS Res Hum Retroviruses. 2021 Feb 8;:
pubmed: 33349132
Mol Biol Evol. 2018 Jul 1;35(7):1812-1819
pubmed: 29401317
MMWR Morb Mortal Wkly Rep. 2019 Apr 19;68(15):344-349
pubmed: 30998671