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委内瑞拉间日疟原虫和恶性疟原虫的周期性。

The periodicity of Plasmodium vivax and Plasmodium falciparum in Venezuela.

机构信息

Laboratorio de Biología de Vectores y Parásitos, Instituto de Zoología y Ecología Tropical, Facultad de Ciencias, Universidad Central de Venezuela, Apartado Postal 47072, Caracas 1041-A, Venezuela.

出版信息

Acta Trop. 2014 Jan;129:52-60. doi: 10.1016/j.actatropica.2013.10.007. Epub 2013 Oct 19.

Abstract

We investigated the periodicity of Plasmodium vivax and P. falciparum incidence in time-series of malaria data (1990-2010) from three endemic regions in Venezuela. In particular, we determined whether disease epidemics were related to local climate variability and regional climate anomalies such as the El Niño Southern Oscillation (ENSO). Malaria periodicity was found to exhibit unique features in each studied region. Significant multi-annual cycles of 2- to about 6-year periods were identified. The inter-annual variability of malaria cases was coherent with that of SSTs (ENSO), mainly at temporal scales within the 3-6 year periods. Additionally, malaria cases were intensified approximately 1 year after an El Niño event, a pattern that highlights the role of climate inter-annual variability in the epidemic patterns. Rainfall mediated the effect of ENSO on malaria locally. Particularly, rains from the last phase of the season had a critical role in the temporal dynamics of Plasmodium. The malaria-climate relationship was complex and transient, varying in strength with the region and species. By identifying temporal cycles of malaria we have made a first step in predicting high-risk years in Venezuela. Our findings emphasize the importance of analyzing high-resolution spatial-temporal data to better understand malaria transmission dynamics.

摘要

我们研究了委内瑞拉三个流行地区的疟疾数据(1990-2010 年)时间序列中间日疟原虫和恶性疟原虫的发病率周期性。特别地,我们确定疾病流行是否与当地气候变异性和区域气候异常(如厄尔尼诺南方涛动)有关。在每个研究地区都发现疟疾周期性具有独特的特征。确定了具有约 2 到 6 年周期的显著多年周期。疟疾病例的年际可变性与 SST(ENSO)一致,主要在 3-6 年的时间尺度内。此外,在厄尔尼诺事件发生大约一年后,疟疾病例加剧,这种模式突出了气候年际变异性在流行模式中的作用。降雨在当地介导了 ENSO 对疟疾的影响。特别是,季节最后阶段的降雨在疟原虫的时间动态中起着关键作用。疟疾与气候的关系是复杂和瞬态的,其强度因地区和物种而异。通过确定疟疾的时间周期,我们在预测委内瑞拉的高风险年份方面迈出了第一步。我们的研究结果强调了分析高分辨率时空数据以更好地了解疟疾传播动态的重要性。

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