Assessing disparity in the distribution of HIV and sexually transmitted infections in Australia: a retrospective cross-sectional study using Gini coefficients

Phyu Mon Latt, Nyi Nyi Soe, Xian-hui Xu, Rashidur Rahman, E. Chow, Jason J. Ong, C. Fairley, Lei Zhang
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Abstract

The risk of HIV and sexually transmitted infections (STIs) varies substantially across population groups in Australia. We examined this disparity in HIV/STI distribution using Gini coefficients, where scores closer to one indicate greater disparity.We used demographic and sexual behaviour data from the Melbourne Sexual Health Centre, between 2015 and 2018. We examined 88 642 HIV consultations, 92 291 syphilis consultations, 97 473 gonorrhoea consultations and 115 845 chlamydia consultations. We applied a machine learning-based risk assessment tool, MySTIRisk, to determine the risk scores. Based on individuals’ risk scores and HIV/STIs diagnoses, we calculated the Gini coefficients for these infections for different subgroups.Overall, Gini coefficients were highest for syphilis (0.60, 95% CI 0.57 to 0.64) followed by HIV (0.57, 95% CI 0.52 to 0.62), gonorrhoea (0.38, 95% CI 0.36 to 0.42) and chlamydia (0.31, 95% CI 0.28 to 0.35). Gay, bisexual and other men who have sex with men (GBMSM) had lower Gini coefficients compared with heterosexual men or women; HIV (0.54 vs 0.94 vs 0.96), syphilis (0.50 vs 0.86 vs 0.93), gonorrhoea (0.24 vs 0.57 vs 0.57) and chlamydia (0.23 vs 0.42 vs 0.40), respectively. The Gini coefficient was lower among 25–34 years than in other age groups for HIV (0.66 vs 0.83–0.90) and gonorrhoea (0.38 vs 0.43–0.47). For syphilis, the oldest age group (≥45 years) had a lower Gini coefficient than 18–24 years (0.61 vs 0.70).Our study demonstrated that HIV/STIs are more evenly distributed among GBMSM, suggesting widely disseminated interventions for GBMSM communities. In contrast, interventions for heterosexual men and women should be more targeted at individuals with higher risk scores.
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评估澳大利亚艾滋病毒和性传播感染分布的差异:使用基尼系数的回顾性横断面研究
艾滋病毒和性传播感染的风险在澳大利亚不同的人口群体中差别很大。我们使用基尼系数检查了艾滋病毒/性传播感染分布的这种差异,得分接近1表明差异更大。我们使用了2015年至2018年间墨尔本性健康中心的人口统计和性行为数据。我们检查了88 642例HIV咨询、92 291例梅毒咨询、97 473例淋病咨询和115 845例衣原体咨询。我们应用了一个基于机器学习的风险评估工具,MySTIRisk,来确定风险评分。基于个体的风险评分和HIV/ sti诊断,我们计算了不同亚组这些感染的基尼系数。总体而言,梅毒的基尼系数最高(0.60,95% CI 0.57至0.64),其次是艾滋病毒(0.57,95% CI 0.52至0.62),淋病(0.38,95% CI 0.36至0.42)和衣原体(0.31,95% CI 0.28至0.35)。与异性恋男性或女性相比,同性恋、双性恋和其他男男性行为者(GBMSM)的基尼系数较低;HIV (0.54 vs 0.94 vs 0.96)、梅毒(0.50 vs 0.86 vs 0.93)、淋病(0.24 vs 0.57 vs 0.57)和衣原体(0.23 vs 0.42 vs 0.40)。在25-34岁年龄组中,HIV (0.66 vs 0.83-0.90)和淋病(0.38 vs 0.43-0.47)的基尼系数低于其他年龄组。对于梅毒,年龄最大年龄组(≥45岁)的基尼系数低于18-24岁年龄组(0.61 vs 0.70)。我们的研究表明,艾滋病/性传播疾病在GBMSM群体中的分布更为均匀,这表明GBMSM群体的干预措施得到了广泛的传播。相比之下,对异性恋男性和女性的干预应该更多地针对风险评分较高的个体。
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