Publications by authors named "S T Badman"

Papua New Guinea lacks data characterising the sexual health needs of younger key populations (KP): female sex workers (FSW) and commercially and sexually exploited girls (CSE), men who have sex with men (MSM), and transgender women (TGW). Biobehavioural surveys among KP were conducted in three cities. We conducted unweighted and weighted analysis for sample and population proportions, respectively.

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After leaving the Sun's corona, the solar wind continues to accelerate and cools, but more slowly than expected for a freely expanding adiabatic gas. Alfvén waves are perturbations of the interplanetary magnetic field that transport energy. We use in situ measurements from the Parker Solar Probe and Solar Orbiter spacecraft to investigate a stream of solar wind as it traverses the inner heliosphere.

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The self-collection of vaginal swabs and point-of-care testing and treatment of sexually transmitted infections (STIs) is reported from several low-and middle-income countries. However, the reporting on women's experiences of self-collection and same-day testing and treatment of STIs is less well described. In this paper, we present the acceptability of self-collected vaginal swabs and point-of-care testing and treatment among pregnant women enrolled in a clinical trial (Women and Newborn Trial of Antenatal Intervention and Management - WANTAIM) in Papua New Guinea.

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The magnetospheric cusp connects the planetary magnetic field to interplanetary space, offering opportunities for charged particles to precipitate to or escape from the planet. Terrestrial cusps are typically found near noon local time, but the characteristics of the Jovian cusp are unknown. Here we show direct evidence of Jovian cusps using datasets from multiple instruments onboard Juno spacecraft.

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Global methylation analysis of gene promoters is promising for detection of high-grade squamous intraepithelial lesions or worse (HSIL+) in high-risk human papillomavirus (hrHPV)-positive women. However, diagnostic performance of methylation data at individual CpG-sites is limited. We explored methylation for predicting HSIL+ in self- and clinician-collected samples from Papua New Guinea.

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