Nucleus of Research Support in Para (Núcleo de Apoio à Pesquisa no Pará (INPA/Nappa/Santarém)), National Institute of Amazon Researches (Instituto Nacional de Pesquisas da Amazônia), Rua 24 de outubro, 3289, Salé, Santarém, Pará, 68040-010, Brazil.
INPA/CAMPUS 2 (INPA/CAMPUS 2), National Institute of Amazon Researches (Instituto Nacional de Pesquisas da Amazônia), Prédio LBA, sala da Coordenação de Dinâmica Ambiental Av. André Araújo, 2936, Aleixo, Manaus, Amazonas, 69060-001, Brazil.
Environ Monit Assess. 2018 Apr 26;190(5):311. doi: 10.1007/s10661-018-6677-4.
A study was conducted at three sampling regions along the Rio Negro and surrounding Puraquequara Lake, Amazonas, Brazil. The aim was to determine the influence of the local effects of climatic and hydrological variables on new malaria cases. Data was gathered on the river level, precipitation, air temperature, and the number of new cases of autochthonous malaria between January 2003 and December 2013. Monthly averages, time series decompositions, cross-correlations, and multiple regressions revealed different relationships at each location. The sampling region in the upper Rio Negro indicated no statistically significant results. However, monthly averages suggest that precipitation and air temperature correlate positively with the occurrence of new cases of malaria. In the mid Rio Negro and Puraquequara Lake, the river level positively correlated, and temperature negatively correlated with new transmissions, while precipitation correlated negatively in the mid Rio Negro and positively on the lake. Overall, the river level is a key variable affecting the formation of breeding sites, while precipitation may either develop or damage them. A negative temperature correlation is associated with the occurrence of new annual post-peak cases of malaria, when the monthly average exceeds 28.5 °C. This suggests that several factors contribute to the occurrence of new malaria cases as higher temperatures are reached at the same time as precipitation and the river levels are lowest. Differences between signals and correlation lags indicate that local characteristics have an impact on how different variables influence the disease vector's life cycle, pathogens, and consequently, new cases of malaria.
一项研究在巴西亚马逊州内格里罗河及其周边的普鲁夸拉夸拉湖的三个采样区进行。目的是确定当地气候和水文变量对新疟疾病例的影响。研究收集了 2003 年 1 月至 2013 年 12 月期间的河流水位、降水、空气温度和新的本地疟疾病例数据。月平均值、时间序列分解、交叉相关和多元回归分析揭示了每个地点的不同关系。内格里罗河上游的采样区没有显示出统计学上的显著结果。然而,月平均值表明降水和空气温度与疟疾新发病例的发生呈正相关。在中内格里罗河和普鲁夸拉夸拉湖,水位与新发病例呈正相关,而温度呈负相关,降水在中内格里罗河呈负相关,在湖面上呈正相关。总的来说,河流水位是影响滋生地形成的关键变量,而降水可能会促进或破坏滋生地。温度与新发病例呈负相关,与每年峰值后新发病例的发生有关,当每月平均气温超过 28.5°C 时。这表明,随着温度的升高,降水和河流水位同时达到最低水平,有几个因素导致了新疟疾病例的发生。信号和相关滞后的差异表明,当地特征会影响不同变量对病媒生命周期、病原体的影响,进而影响新的疟疾病例。