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1985 - 2007年阿根廷奥兰地区降雨、森林砍伐与美洲皮肤利什曼病发病率的变异性建模

Variability modeling of rainfall, deforestation, and incidence of american tegumentary leishmaniasis in orán, Argentina, 1985-2007.

作者信息

Rosales Juan Carlos, Yang Hyun Mo, Avila Blas Orlando José

机构信息

Departamento de Matemática, Facultad de Cs. Exactas, U.N.Sa, Avenue Bolivia 5150, A4408FVY Salta, Salta Province, Argentina ; EPIFISMA, Universidade Estadual de Campinas, CP 6065, 13083-859 Campinas, SP, Brazil.

EPIFISMA, Universidade Estadual de Campinas, CP 6065, 13083-859 Campinas, SP, Brazil.

出版信息

Interdiscip Perspect Infect Dis. 2014;2014:461013. doi: 10.1155/2014/461013. Epub 2014 Dec 18.

Abstract

American tegumentary leishmaniasis (ATL) is a disease transmitted to humans by the female sandflies of the genus Lutzomyia. Several factors are involved in the disease transmission cycle. In this work only rainfall and deforestation were considered to assess the variability in the incidence of ATL. In order to reach this goal, monthly recorded data of the incidence of ATL in Orán, Salta, Argentina, were used, in the period 1985-2007. The square root of the relative incidence of ATL and the corresponding variance were formulated as time series, and these data were smoothed by moving averages of 12 and 24 months, respectively. The same procedure was applied to the rainfall data. Typical months, which are April, August, and December, were found and allowed us to describe the dynamical behavior of ATL outbreaks. These results were tested at 95% confidence level. We concluded that the variability of rainfall would not be enough to justify the epidemic outbreaks of ATL in the period 1997-2000, but it consistently explains the situation observed in the years 2002 and 2004. Deforestation activities occurred in this region could explain epidemic peaks observed in both years and also during the entire time of observation except in 2005-2007.

摘要

美洲皮肤利什曼病(ATL)是一种由罗蛉属雌性白蛉传播给人类的疾病。该疾病传播周期涉及多个因素。在本研究中,仅考虑降雨和森林砍伐来评估ATL发病率的变化情况。为实现这一目标,使用了1985 - 2007年期间阿根廷萨尔塔省奥兰市ATL发病率的月度记录数据。将ATL相对发病率的平方根和相应方差整理成时间序列,并分别用12个月和24个月的移动平均值对这些数据进行平滑处理。对降雨数据也采用同样的程序。确定了典型月份为4月、8月和12月,这使我们能够描述ATL疫情爆发的动态行为。这些结果在95%置信水平下进行了检验。我们得出结论,降雨变化不足以解释1997 - 2000年期间ATL的疫情爆发,但能持续解释2002年和2004年观察到的情况。该地区发生的森林砍伐活动可以解释这两年以及除2005 - 2007年之外整个观察期内观察到的疫情高峰。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b4/4281399/1858b06fb1c5/IPID2014-461013.001.jpg

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