MCD Global Health, Silver Spring, MD, USA.
Duke Global Health Institute, Duke University, Durham, NC, USA.
Malar J. 2023 Mar 1;22(1):72. doi: 10.1186/s12936-023-04504-7.
Since 2004, malaria transmission on Bioko Island has declined significantly as a result of the scaling-up of control interventions. The aim of eliminating malaria from the Island remains elusive, however, underscoring the need to adapt control to the local context. Understanding the factors driving the risk of malaria infection is critical to inform optimal suits of interventions in this adaptive approach.
This study used individual and household-level data from the 2015 and 2018 annual malaria indicator surveys on Bioko Island, as well as remotely-sensed environmental data in multilevel logistic regression models to quantify the odds of malaria infection. The analyses were stratified by urban and rural settings and by survey year.
Malaria prevalence was higher in 10-14-year-old children and similar between female and male individuals. After adjusting for demographic factors and other covariates, many of the variables investigated showed no significant association with malaria infection. The factor most strongly associated was history of travel to mainland Equatorial Guinea (mEG), which increased the odds significantly both in urban and rural settings (people who travelled had 4 times the odds of infection). Sleeping under a long-lasting insecticidal net decreased significantly the odds of malaria across urban and rural settings and survey years (net users had around 30% less odds of infection), highlighting their contribution to malaria control on the Island. Improved housing conditions indicated some protection, though this was not consistent across settings and survey year.
Malaria risk on Bioko Island is heterogeneous and determined by a combination of factors interacting with local mosquito ecology. These interactions grant further investigation in order to better adapt control according to need. The single most important risk factor identified was travel to mEG, in line with previous investigations, and represents a great challenge for the success of malaria control on the Island.
自 2004 年以来,随着控制措施的扩大,比奥科岛的疟疾传播显著下降。然而,从该岛消除疟疾的目标仍然难以实现,这突显了需要根据当地情况调整控制措施。了解导致疟疾感染风险的因素对于在这种适应性方法中提供最佳干预措施至关重要。
本研究使用了 2015 年和 2018 年比奥科岛年度疟疾指标调查的个人和家庭层面数据,以及遥感环境数据,在多层次逻辑回归模型中量化疟疾感染的几率。分析分为城市和农村环境,并按调查年份进行分层。
疟疾患病率在 10-14 岁儿童中较高,且在男女个体中相似。在调整人口因素和其他协变量后,许多调查的变量与疟疾感染没有显著关联。与疟疾感染最密切相关的因素是前往大陆赤道几内亚(mEG)的旅行史,这在城市和农村环境中都显著增加了感染的几率(旅行者感染的几率增加了 4 倍)。在城市和农村环境以及调查年份中,使用长效驱虫蚊帐显著降低了疟疾的几率(蚊帐使用者感染的几率降低了约 30%),突出了它们对该岛疟疾控制的贡献。住房条件的改善表明存在一定的保护作用,但这种保护作用在不同环境和调查年份之间并不一致。
比奥科岛的疟疾风险具有异质性,由与当地蚊子生态相互作用的多种因素决定。这些相互作用需要进一步调查,以便根据需要更好地调整控制措施。确定的最重要的单一风险因素是前往 mEG 的旅行,这与之前的调查结果一致,这代表着该岛疟疾控制成功的巨大挑战。