自然灾害对乌干达高度流行渔村内艾滋病毒风险行为、血清流行率和病毒学抑制的影响。
Impact of natural disasters on HIV risk behaviors, seroprevalence, and virological supression in a hyperendemic fishing village in Uganda.
机构信息
Rakai Health Sciences Program, Kalisizo, Uganda.
Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, United States of America.
出版信息
PLoS One. 2024 Oct 11;19(10):e0293711. doi: 10.1371/journal.pone.0293711. eCollection 2024.
BACKGROUND
Understanding the impact of natural disasters on the HIV epidemic in populations with high HIV burden is critical for the effective delivery of HIV control efforts. We assessed HIV risk behaviors, seroprevalence, and viral suppression in a high HIV prevalence Lake Victoria fishing community before and after COVID-19 emergence and lockdown and a severe lake flooding event, both of which occurred in 2020.
METHODS
We used data from the largest Lake Victoria fishing community in the Rakai Community Cohort Study, an open population-based HIV surveillance cohort in south-central Uganda. The data were collected both prior to (September-December 2018) and after (October-December 2021) COVID-19 emergence and a severe flooding event. Households impacted by flooding were identified via drone data and through consulting village community health workers. The entire study population was subject to extensive COVID-19-related lockdowns in the first half of 2020. Differences in HIV-related outcomes before and after COVID, and between residents of flooded and non-flooded households, were assessed using a difference-in-differences statistical modeling approach.
FINDINGS
A total of 1,226 people participated in the pre- and post-COVID surveys, of whom 506 (41%) were affected by flooding. HIV seroprevalence in the initial period was 37% in flooded and 36.8% in non-flooded households. After the COVID-19 pandemic and lockdown, we observed a decline in HIV-associated risk behaviors: transactional sex declined from 29.4% to 24.8% (p = 0.011), and inconsistent condom use with non-marital partners declined from 41.6% to 37% (p = 0.021). ART coverage increased from 91.6% to 97.2% (p<0.001). There was 17% decline in transactional sex (aPR = 0.83, 95% CI: 0.75-0.92) and 28% decline in the overall HIV risk score (aPR = 0.83, 95% CI: 0.75-0.92) among HIV-seronegative participants. We observed no statistically significant differences in changes of HIV risk behavior, seroprevalence, or viral suppression outcomes when comparing those affected by floods to those not affected by floods, in the periods before and after COVID-19, based on difference-in-differences analyses.
INTERPRETATION
Despite a high background burden of HIV, the COVID-19 pandemic, and severe flooding, we observed no adverse impact on HIV risk behaviors, seroprevalence, or virologic outcomes. This may be attributed to innovative HIV programming during the period and/or population resilience. Understanding exactly what HIV programs and personal or community-level strategies worked to maintain good public health outcomes despite extreme environmental and pandemic conditions may help improve HIV epidemic control during future natural disaster events.
背景
了解自然灾难对高 HIV 负担人群中 HIV 流行的影响对于有效开展 HIV 防控工作至关重要。我们评估了 COVID-19 出现和封锁以及 2020 年严重湖洪暴发前后,在 HIV 流行率较高的维多利亚湖渔业社区中 HIV 风险行为、血清流行率和病毒抑制情况。
方法
我们使用了来自乌干达中南部拉凯社区队列研究中最大的维多利亚湖渔业社区的数据,这是一个开放的基于人群的 HIV 监测队列。数据分别在 COVID-19 出现之前(2018 年 9 月至 12 月)和之后(2021 年 10 月至 12 月)以及严重洪灾事件之前收集。通过无人机数据和咨询村庄社区卫生工作者,确定了受洪灾影响的家庭。整个研究人群在 2020 年上半年都受到了广泛的 COVID-19 相关封锁。使用差异分析统计建模方法评估了 COVID 前后以及洪灾和非洪灾家庭居民之间 HIV 相关结果的差异。
结果
共有 1226 人参加了 COVID 前后的调查,其中 506 人(41%)受到了洪灾的影响。最初,洪灾家庭的 HIV 血清流行率为 37%,非洪灾家庭为 36.8%。在 COVID-19 大流行和封锁之后,我们观察到与 HIV 相关的风险行为有所下降:性交易从 29.4%下降到 24.8%(p=0.011),与非婚姻伴侣不使用安全套的比例从 41.6%下降到 37%(p=0.021)。ART 覆盖率从 91.6%增加到 97.2%(p<0.001)。HIV 血清阴性参与者的性交易减少了 17%(aPR=0.83,95%CI:0.75-0.92),HIV 风险评分整体下降了 28%(aPR=0.83,95%CI:0.75-0.92)。基于差异分析,我们发现 COVID-19 前后,与洪灾无关的人群与受洪灾影响的人群相比,在 HIV 风险行为、血清流行率或病毒抑制结果方面没有统计学上的显著差异。
结论
尽管 HIV 负担沉重,COVID-19 大流行和严重洪灾,但我们没有观察到 HIV 风险行为、血清流行率或病毒学结果的不利影响。这可能归因于该期间创新性的 HIV 规划和/或人群的弹性。了解在极端环境和大流行条件下,哪些 HIV 规划和个人或社区层面的策略有助于维持良好的公共卫生结果,可能有助于在未来的自然灾害事件中改善 HIV 流行控制。