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模拟移民对博茨瓦纳艾滋病护理和治疗计划成功的影响。

Modelling the impact of migrants on the success of the HIV care and treatment program in Botswana.

机构信息

Burnet Institute, Melbourne, Australia.

Monash University, Melbourne, Australia.

出版信息

PLoS One. 2020 Jan 15;15(1):e0226422. doi: 10.1371/journal.pone.0226422. eCollection 2020.

Abstract

INTRODUCTION

Botswana offers publicly financed HIV treatment to citizens, but not migrants, who comprised about 7% of the population in 2016. However, HIV incidence is not declining in proportion to Botswana's HIV response. In 2018, Botswana had 86% of citizens living with HIV diagnosed, 95% of people diagnosed on treatment, and 95% viral suppression among those on treatment. We hypothesised that continued exclusion of migrants is hampering reduction of HIV incidence in Botswana. Hence, we modelled the impact of including migrants in Botswana's HIV response on achieving 90-90-90 and 95-95-95 Fast-Track targets by 2020 and 2030, respectively.

METHODS

The Optima HIV model, with demographic, epidemiological, and behavioural inputs, was applied to citizens of and migrants to Botswana. Projections of new HIV infections and HIV-related deaths were compared for three scenarios to the end of 2030: (1) continued status quo for HIV testing and treatment coverage, and maintenance of levels of linkage to care, loss to follow-up, and viral suppression among citizens and migrants (baseline); (2) with scaled-up budget, optimised to achieve 90-90-90 and 95-95-95 Fast-Track targets by 2020 and 2030, respectively, for citizens only; and (3) scaled-up optimised budget to achieve these targets for both citizens and migrants.

RESULTS

A baseline of 172,000 new HIV infections and 8,400 HIV-related deaths was projected over 2020-2030. Scaling up to achieve targets among citizens only averted an estimated 48,000 infections and 1,700 deaths. Achieving targets for both citizens and migrants averted 16,000 (34%) more infections and 442 (26%) more deaths. Scaling up for both populations reduced numbers of new HIV infections and deaths by 44% and 39% respectively compared with 2010 levels. Treating migrants when scaling up in both populations was estimated to cost USD 74 million over 2020-2030.

CONCLUSIONS

Providing HIV services to migrants in Botswana could lead to further reductions in HIV incidence and deaths. However, even with an increased, optimised budget that achieves 95-95-95 targets for both citizens and migrants by 2030, the 90% incidence reduction target for 2020 will be missed. Further efficiencies and innovations will be needed to meet HIV targets in Botswana.

摘要

简介

博茨瓦纳为公民提供公共资金资助的艾滋病病毒治疗,但不包括移民,而移民在 2016 年约占人口的 7%。然而,艾滋病毒发病率并未随着博茨瓦纳的艾滋病毒应对措施而相应下降。2018 年,博茨瓦纳有 86%的艾滋病毒感染者被诊断出来,95%的诊断出患有艾滋病的人在接受治疗,接受治疗的人中 95%的病毒得到了抑制。我们假设继续排斥移民正在阻碍博茨瓦纳艾滋病毒发病率的降低。因此,我们通过模型模拟了将移民纳入博茨瓦纳的艾滋病毒应对措施中对实现到 2020 年和 2030 年分别实现 90-90-90 和 95-95-95 快速通道目标的影响。

方法

采用 Optima HIV 模型,结合人口、流行病学和行为学数据,对博茨瓦纳公民和移民进行了模拟。对三种情景下到 2030 年底的新艾滋病毒感染和艾滋病毒相关死亡的预测进行了比较:(1)艾滋病毒检测和治疗覆盖率以及公民和移民的护理衔接率、失访率和病毒抑制率维持现状(基线);(2)在预算增加的情况下,对公民进行优化,以分别在 2020 年和 2030 年实现 90-90-90 和 95-95-95 快速通道目标;(3)增加优化的预算,为公民和移民实现这些目标。

结果

预计 2020-2030 年期间,新的艾滋病毒感染人数将达到 17.2 万例,艾滋病毒相关死亡人数将达到 8400 例。只在公民中增加到实现目标,预计可避免约 4.8 万例感染和 1700 例死亡。为公民和移民实现这些目标,可避免多达 1.6 万例(34%)的感染和 442 例(26%)的死亡。与 2010 年相比,两种人群的新艾滋病毒感染和死亡人数分别减少了 44%和 39%。在扩大服务范围以覆盖所有人口的情况下,预计 2020-2030 年期间,为移民提供艾滋病毒服务的费用将达到 7400 万美元。

结论

为博茨瓦纳的移民提供艾滋病毒服务可能会进一步降低艾滋病毒发病率和死亡率。然而,即使增加了一个优化的预算,到 2030 年为公民和移民实现 95-95-95 目标,也将无法实现到 2020 年 90%的发病率降低目标。为了实现博茨瓦纳的艾滋病毒目标,还需要进一步提高效率和创新。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b70/6961860/06a02169ba89/pone.0226422.g001.jpg

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