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高平均水汽压会促进细菌性痢疾的传播。

High mean water vapour pressure promotes the transmission of bacillary dysentery.

作者信息

Li Guo-Zheng, Shao Feng-Feng, Zhang Hao, Zou Chun-Pu, Li Hui-Hui, Jin Jue

机构信息

Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China.

Department of Control Science and Engineering, Tongji University, Shanghai, China.

出版信息

PLoS One. 2015 May 6;10(5):e0124478. doi: 10.1371/journal.pone.0124478. eCollection 2015.

Abstract

Bacillary dysentery is an infectious disease caused by Shigella dysenteriae, which has a seasonal distribution. External environmental factors, including climate, play a significant role in its transmission. This paper identifies climate-related risk factors and their role in bacillary dysentery transmission. Harbin, in northeast China, with a temperate climate, and Quzhou, in southern China, with a subtropical climate, are chosen as the study locations. The least absolute shrinkage and selectionator operator is applied to select relevant climate factors involved in the transmission of bacillary dysentery. Based on the selected relevant climate factors and incidence rates, an AutoRegressive Integrated Moving Average (ARIMA) model is established successfully as a time series prediction model. The numerical results demonstrate that the mean water vapour pressure over the previous month results in a high relative risk for bacillary dysentery transmission in both cities, and the ARIMA model can successfully perform such a prediction. These results provide better explanations for the relationship between climate factors and bacillary dysentery transmission than those put forth in other studies that use only correlation coefficients or fitting models. The findings in this paper demonstrate that the mean water vapour pressure over the previous month is an important predictor for the transmission of bacillary dysentery.

摘要

细菌性痢疾是由痢疾志贺菌引起的一种传染病,具有季节性分布。包括气候在内的外部环境因素在其传播中起着重要作用。本文确定了与气候相关的风险因素及其在细菌性痢疾传播中的作用。选择中国东北气候温和的哈尔滨和中国南方亚热带气候的衢州作为研究地点。应用最小绝对收缩和选择算子来选择与细菌性痢疾传播相关的气候因素。基于所选的相关气候因素和发病率,成功建立了自回归积分滑动平均(ARIMA)模型作为时间序列预测模型。数值结果表明,前一个月的平均水汽压导致两个城市细菌性痢疾传播的相对风险较高,并且ARIMA模型能够成功地进行此类预测。与其他仅使用相关系数或拟合模型的研究相比,这些结果为气候因素与细菌性痢疾传播之间的关系提供了更好的解释。本文的研究结果表明,前一个月的平均水汽压是细菌性痢疾传播的重要预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04f3/4422751/764127016302/pone.0124478.g001.jpg

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