Geospatial mobility, non-local partners, concurrent sexual partnerships, and gender influence longitudinal STI prevalence in rural eastern Africa

Mobility challenges HIV prevention efforts through associated risk behaviours and sexually transmitted infections (STIs). We characterized relationships between mobility and sexual risks on STI prevalence over time in East Africa. Geospatial mobility and sexual risk behaviours were collected in 12 communities using a sex- and HIV-stratified random sub-sample of 2,750 adults from a longitudinal cohort (2015-2019) of a HIV test-and-treat trial in Kenya and Uganda. Annual Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) testing was performed, and relationships of prevalent STIs with mobility, sexual concurrency, and higher HIV-risk sexual partners (defined as one-night stand, stranger, commercial sex worker/client, casual partner, or inherited partner/inheritor) were examined. The annual prevalence of CT or NG among 2,665 participants tested was 3.1% (95 % CI: 2.5-3.9) at baseline, 3.3% (95 % CI: 2.6-4.0) at year 1, 4.4 % (95 % CI: 3.0-5.2) at year 2, and 4.8 % (95 % CI: 4.0-..., Geospatial mobility and sexual risk behaviours were collected in a sex- and HIV-stratified random sub-sample of 2,750 adults aged 16+ in 12 communities in a longitudinal cohort (2015-2019) embedded within an HIV test-and-treat trial in Kenya and Uganda (NCT #01864603). We conducted annual Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) testing, and used repeated measures mixed-effects logistic models to examine relationships of prevalent STIs (CT, NG, & any STI) with recent migration and local mobility, sexual concurrency, high-risk sex partners, and demographics.
, , # Data from: Geospatial mobility, non-local partners, concurrent sexual partnerships, and gender influence longitudinal STI prevalence in rural eastern Africa

Dataset DOI: [10.5061/dryad.dv41ns26f](https://doi.org/10.5061/dryad.dv41ns26f)

## Description of the data and file structure

Geospatial mobility and sexual risk behaviours were collected in 12 communities using a sex- and HIV-stratified random sub-sample of 2,750 adults from a longitudinal cohort (2015-2019) of a HIV test-and-treat trial in Kenya and Uganda. Annual *Chlamydia trachomatis* (CT) and *Neisseria gonorrhoeae* (NG) testing was performed, and relationships of prevalent STIs (CT, NG) with geospatial mobility, sexual concurrency, and higher HIV-risk sexual partners (defined as one-night stand, stranger, commercial sex worker/client, casual partner, or inherited partner/inheritor) were examined.

### Files and variables

sti-mobility.codebook.xlsx: The variables list and codebook for the sti-mobility.dta dataset in Exce..., We received explicit consent from the participants to publish the de-identified data in the public domain. We de-identified the data by removing all personally identifiable information (PII) and replacing the field age by range categories.,