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首页> 外文期刊>The Lancet Planetary Health >Understand the effect of environmental and structural migration factors on the sexual and reproductive health of youth in central Asia and Africa: a modelling study
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Understand the effect of environmental and structural migration factors on the sexual and reproductive health of youth in central Asia and Africa: a modelling study

机译:了解环境和结构性迁徙因素对中亚和非洲青年性健康和生殖健康的影响:一项模型研究

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BackgroundEvery year millions of young people between the ages of 10 and 24 years in central Asia and Africa migrate to urban areas in search of better opportunities. Common factors driving youth migration include environmental degradation, war and conflict, and lack of economic opportunity and poverty. In collaboration with the United Nations Population Fund (UNFPA), our aim was to study the effect of migration on the sexual and reproductive health (SRH) needs of youth in Nairobi, Cairo, Beirut, and Tunis through the development of technological solutions for data collection and identification of youth most vulnerable to SRH issues.MethodsWe designed a web application useful for both migrants and researchers that contains a 27-question survey to collect migrant data on basic profile metrics such as their geographical journey and their sexual relations. This data can be used to inform the UNFPA's service, delivery, and policy efforts. The website also features a geographical healthcare centres map and safety tips for migrants. Additionally, we artificially created a dataset of 1000 migrant profiles to train a machine learning model to predict SRH vulnerabilities in young people.FindingsThe neural network model and the support vector machines algorithm demonstrated high accuracies of 0·92 and 0·90 respectively in predicting the most vulnerable youth. We optimised our algorithm to minimise false-negatives, even at the cost of a few false-positives.InterpretationOur results provide an opportunity to identify vulnerable youth for local officials to potentially reach out to in order to prevent SRH issues and to understand how such vulnerabilities might stem from their environmental and structural migration factors. Furthermore, researchers can investigate based on data collected from the web application how overcrowding of migrants in urban areas outstrips the areas of resources to further compromise the SRH health of the migrants.FundingNone.
机译:背景技术中亚和非洲每年都有数百万10至24岁的年轻人迁移到城市地区,以寻找更好的机会。推动青年移民的共同因素包括环境恶化,战争和冲突以及缺乏经济机会和贫困。与联合国人口基金(人口基金)合作,我们的目的是通过开发数据技术解决方案,研究移徙对内罗毕,开罗,贝鲁特和突尼斯青年的性健康和生殖健康(SRH)需求的影响。方法我们设计了一个对移民和研究人员均有用的Web应用程序,其中包含27个问题的调查,以收集移民基本概况指标的数据,例如他们的地理旅程和性关系。该数据可用于通知人口基金的服务,交付和政策工作。该网站还设有地理医疗中心地图和移民安全提示。此外,我们人工创建了一个包含1000个移民档案的数据集,以训练机器学习模型来预测年轻人的SRH漏洞。神经网络模型和支持向量机算法在预测儿童的SRH脆弱性方面分别具有0·92和0·90的高准确性。最脆弱的青年。我们对算法进行了优化,以最大程度地减少假阴性,甚至以减少一些假阳性为代价。解释我们的结果提供了一个机会,可以识别脆弱的年轻人,让当地官员有可能与之接触,以预防SRH问题并了解此类漏洞的程度可能源于其环境和结构迁移因素。此外,研究人员可以根据从网络应用程序收集到的数据进行调查,研究城市地区移民的过度拥挤如何超过资源区域,从而进一步损害移民的SRH健康状况。

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