2015-2020 年间疟疾控制干预措施和气候多变性对肯尼亚寄生虫流行地理分布变化的影响。

IF 3 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Bryan O Nyawanda, Sammy Khagayi, Eric Ochomo, Godfrey Bigogo, Simon Kariuki, Stephen Munga, Penelope Vounatsou
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引用次数: 0

摘要

背景:肯尼亚的疟疾负担呈下降趋势,但近年来似乎达到了一个平稳期。本研究估计了 2015 年至 2020 年间该国疟疾寄生虫风险地理分布的变化,并量化了疟疾控制干预措施和气候/环境因素对这些变化的贡献:采用贝叶斯地理统计模型分析肯尼亚 2015 年和 2020 年疟疾指标调查 (MIS) 数据。通过拟合二元模型,确定各年龄组(6-59 个月和 5-14 岁)寄生虫病风险最重要的控制干预指标和气候/环境预测因素。在 1 × 1 平方公里的网格范围内预测寄生虫病风险和受感染儿童人数。此外,还在网格面上评估了与 2015 年相比,2020 年寄生虫病风险下降的概率,并评估了与两次调查之间寄生虫病风险变化相关的因素:与驱虫蚊帐(ITN)和青蒿素综合疗法(ACT)干预措施相关的大多数疟疾指标的覆盖率都出现了大幅下降。总体而言,《结论》所述年龄段儿童的疟疾发病率分别下降了 31% 和 26%:增加夜灯和驱虫蚊帐的使用可能会降低寄生虫病风险。然而,减少的情况不尽相同,肯尼亚北部的风险有所增加。综上所述,这些结果表明,有必要在传播增加的地区持续监测并重新评估寄生虫和病媒控制措施。本分析中使用的方法可用于其他环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The influence of malaria control interventions and climate variability on changes in the geographical distribution of parasite prevalence in Kenya between 2015 and 2020.

Background: The burden of malaria in Kenya was showing a declining trend, but appears to have reached a plateau in recent years. This study estimated changes in the geographical distribution of malaria parasite risk in the country between the years 2015 and 2020, and quantified the contribution of malaria control interventions and climatic/ environmental factors to these changes.

Methods: Bayesian geostatistical models were used to analyse the Kenyan 2015 and 2020 Malaria Indicator Survey (MIS) data. Bivariate models were fitted to identify the most important control intervention indicators and climatic/environmental predictors of parasitaemia risk by age groups (6-59 months and 5-14 years). Parasitaemia risk and the number of infected children were predicted over a 1 × 1 km2 grid. The probability of the decline in parasitaemia risk in 2020 compared to 2015 was also evaluated over the gridded surface and factors associated with changes in parasitaemia risk between the two surveys were evaluated.

Results: There was a significant decline in the coverage of most malaria indicators related to Insecticide Treated Nets (ITN) and Artemisinin Combination Therapies (ACT) interventions. Overall, there was a 31% and 26% reduction in malaria prevalence among children aged < 5 and 5-14 years, respectively. Among younger children, the highest reduction (50%) and increase (41%) were in the low-risk and semi-arid epi zones, respectively; while among older children there was increased risk in both the low-risk (83%) and semi-arid (100%) epi zones. Increase in nightlights and the proportion of individuals using ITNs in 2020 were associated with reduced parasitaemia risk.

Conclusion: Increased nightlights and ITN use could have led to the reduction in parasitaemia risk. However, the reduction is heterogeneous and there was increased risk in northern Kenya. Taken together, these results suggest that constant surveillance and re-evaluation of parasite and vector control measures in areas with increased transmission is necessary. The methods used in this analysis can be employed in other settings.

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来源期刊
International Journal of Health Geographics
International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
10.20
自引率
2.00%
发文量
17
审稿时长
12 weeks
期刊介绍: A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.
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