• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

调查食物供应和气候变量对中国长沙地区肾综合征出血热动物宿主密度的影响。

Investigating the effects of food available and climatic variables on the animal host density of hemorrhagic Fever with renal syndrome in changsha, china.

机构信息

College of Resources and Environment Science, Hunan Normal University, Changsha, China.

出版信息

PLoS One. 2013 Apr 24;8(4):e61536. doi: 10.1371/journal.pone.0061536. Print 2013.

DOI:10.1371/journal.pone.0061536
PMID:23637849
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3634784/
Abstract

BACKGROUND

The transmission of hemorrhagic fever with renal syndrome (HFRS) is influenced by population dynamics of its main host, rodents. It is therefore important to better understand rodents' characteristic in epidemic areas.

METHODOLOGY/PRINCIPAL FINDINGS: We examined the potential impact of food available and climatic variability on HFRS rodent host and developed forecasting models. Monthly rodent density of HFRS host and climate data in Changsha from January 2004 to December 2011 were obtained. Monthly normalized difference vegetation index (NDVI) and temperature vegetation dryness index (TVDI) for rice paddies were extracted from MODIS data. Cross-correlation analysis were carried out to explore correlation between climatic variables and food available with monthly rodent data. We used auto-regressive integrated moving average model with explanatory variables to examine the independent contribution of climatic variables and food supply to rodent density. The results indicated that relative rodent density of HFRS host was significantly correlated with monthly mean temperatures, monthly accumulative precipitation, TVDI and NDVI with lags of 1-6 months.

CONCLUSIONS/SIGNIFICANCE: Food available plays a significant role in population fluctuations of HFRS host in Changsha. The model developed in this study has implications for HFRS control and prevention.

摘要

背景

肾综合征出血热(HFRS)的传播受其主要宿主啮齿动物种群动态的影响。因此,了解疫区啮齿动物的特征非常重要。

方法/主要发现:我们研究了食物供应和气候可变性对 HFRS 宿主啮齿动物的潜在影响,并开发了预测模型。我们获得了 2004 年 1 月至 2011 年 12 月长沙每月 HFRS 宿主啮齿动物密度和气候数据。从 MODIS 数据中提取了稻田逐月归一化差异植被指数(NDVI)和温度植被干燥指数(TVDI)。进行了交叉相关分析,以探讨气候变量与食物供应与每月啮齿动物数据之间的相关性。我们使用具有解释变量的自回归综合移动平均模型来检验气候变量和食物供应对啮齿动物密度的独立贡献。结果表明,HFRS 宿主的相对啮齿动物密度与 1-6 个月的月平均温度、月累积降水量、TVDI 和 NDVI 显著相关。

结论/意义:食物供应对长沙 HFRS 宿主的种群波动起着重要作用。本研究中开发的模型对 HFRS 的控制和预防具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0952/3634784/a1acfaab5940/pone.0061536.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0952/3634784/ad98ad878b06/pone.0061536.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0952/3634784/b7a03a020758/pone.0061536.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0952/3634784/a17a09ed9db7/pone.0061536.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0952/3634784/a1acfaab5940/pone.0061536.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0952/3634784/ad98ad878b06/pone.0061536.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0952/3634784/b7a03a020758/pone.0061536.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0952/3634784/a17a09ed9db7/pone.0061536.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0952/3634784/a1acfaab5940/pone.0061536.g004.jpg

相似文献

1
Investigating the effects of food available and climatic variables on the animal host density of hemorrhagic Fever with renal syndrome in changsha, china.调查食物供应和气候变量对中国长沙地区肾综合征出血热动物宿主密度的影响。
PLoS One. 2013 Apr 24;8(4):e61536. doi: 10.1371/journal.pone.0061536. Print 2013.
2
Animal reservoir, natural and socioeconomic variations and the transmission of hemorrhagic fever with renal syndrome in Chenzhou, China, 2006-2010.2006 - 2010年中国郴州肾综合征出血热的动物宿主、自然及社会经济差异与传播
PLoS Negl Trop Dis. 2014 Jan 9;8(1):e2615. doi: 10.1371/journal.pntd.0002615. eCollection 2014.
3
Ecology and geography of hemorrhagic fever with renal syndrome in Changsha, China.中国长沙地区肾综合征出血热的生态地理。
BMC Infect Dis. 2013 Jul 3;13:305. doi: 10.1186/1471-2334-13-305.
4
Environmental variability and the transmission of haemorrhagic fever with renal syndrome in Changsha, People's Republic of China.中国长沙地区肾综合征出血热的环境变异性与传播。
Epidemiol Infect. 2013 Sep;141(9):1867-75. doi: 10.1017/S0950268812002555. Epub 2012 Nov 19.
5
[The warning model and influence of climatic changes on hemorrhagic fever with renal syndrome in Changsha city].[长沙市气候变化对肾综合征出血热的预警模型及影响]
Zhonghua Yu Fang Yi Xue Za Zhi. 2011 Oct;45(10):881-5.
6
Climate variability and hemorrhagic fever with renal syndrome transmission in Northeastern China.中国东北地区的气候变异性与肾综合征出血热传播
Environ Health Perspect. 2010 Jul;118(7):915-20. doi: 10.1289/ehp.0901504. Epub 2010 Feb 8.
7
Effects of Climate and Rodent Factors on Hemorrhagic Fever with Renal Syndrome in Chongqing, China, 1997-2008.1997 - 2008年气候和鼠类因素对中国重庆肾综合征出血热的影响
PLoS One. 2015 Jul 20;10(7):e0133218. doi: 10.1371/journal.pone.0133218. eCollection 2015.
8
Temporal trend and climate factors of hemorrhagic fever with renal syndrome epidemic in Shenyang City, China.中国沈阳市肾综合征出血热的时间趋势和气候因素。
BMC Infect Dis. 2011 Dec 2;11:331. doi: 10.1186/1471-2334-11-331.
9
Changes in rodent abundance and weather conditions potentially drive hemorrhagic fever with renal syndrome outbreaks in Xi'an, China, 2005-2012.2005年至2012年期间,啮齿动物数量的变化和天气状况可能是导致中国西安肾综合征出血热疫情爆发的原因。
PLoS Negl Trop Dis. 2015 Mar 30;9(3):e0003530. doi: 10.1371/journal.pntd.0003530. eCollection 2015 Mar.
10
Investigating the impact of climatic and environmental factors on HFRS prevalence in Anhui Province, China, using satellite and reanalysis data.利用卫星和再分析数据调查中国安徽省 HFRS 流行率的气候和环境因素影响。
Front Public Health. 2024 Sep 30;12:1447501. doi: 10.3389/fpubh.2024.1447501. eCollection 2024.

引用本文的文献

1
Urbanization-Related Environmental Factors and Hemorrhagic Fever with Renal Syndrome: A Review Based on Studies Taken in China.城市化相关环境因素与肾综合征出血热:基于中国研究的综述。
Int J Environ Res Public Health. 2023 Feb 14;20(4):3328. doi: 10.3390/ijerph20043328.
2
Effects and interaction of meteorological factors on hemorrhagic fever with renal syndrome incidence in Huludao City, northeastern China, 2007-2018.2007-2018 年中国东北地区葫芦岛市肾综合征出血热发病率的气象因素影响及交互作用。
PLoS Negl Trop Dis. 2021 Mar 25;15(3):e0009217. doi: 10.1371/journal.pntd.0009217. eCollection 2021 Mar.
3

本文引用的文献

1
Epidemiologic characteristics of haemorrhagic fever with renal syndrome in Mainland China from 2006 to 2010.2006年至2010年中国大陆肾综合征出血热的流行病学特征
Western Pac Surveill Response J. 2012 Feb 7;3(1):12-8. doi: 10.5365/WPSAR.2011.2.2.007. Print 2012 Jan.
2
A unifying hypothesis and a single name for a complex globally emerging infection: hantavirus disease.关于一种全球范围内新出现的复杂感染的统一假说及单一名称:汉坦病毒病。
Eur J Clin Microbiol Infect Dis. 2012 Jan;31(1):1-5. doi: 10.1007/s10096-011-1456-y. Epub 2011 Nov 9.
3
Cyclic hantavirus epidemics in humans--predicted by rodent host dynamics.
Improving the precision of modeling the incidence of hemorrhagic fever with renal syndrome in mainland China with an ensemble machine learning approach.
采用集成机器学习方法提高中国大陆肾综合征出血热发病率建模的精度。
PLoS One. 2021 Mar 16;16(3):e0248597. doi: 10.1371/journal.pone.0248597. eCollection 2021.
4
Prediction of hot spot areas of hemorrhagic fever with renal syndrome in Hunan Province based on an information quantity model and logistical regression model.基于信息量模型和逻辑斯蒂回归模型预测湖南省肾综合征出血热热点地区。
PLoS Negl Trop Dis. 2020 Dec 21;14(12):e0008939. doi: 10.1371/journal.pntd.0008939. eCollection 2020 Dec.
5
The ecological dynamics of hantavirus diseases: From environmental variability to disease prevention largely based on data from China.汉坦病毒病的生态动力学:从环境变异性到主要基于中国数据的疾病预防。
PLoS Negl Trop Dis. 2019 Feb 21;13(2):e0006901. doi: 10.1371/journal.pntd.0006901. eCollection 2019 Feb.
6
Probabilistic logic analysis of the highly heterogeneous spatiotemporal HFRS incidence distribution in Heilongjiang province (China) during 2005-2013.2005-2013 年期间黑龙江省(中国)高度异质时空 HFRS 发病率分布的概率逻辑分析。
PLoS Negl Trop Dis. 2019 Jan 31;13(1):e0007091. doi: 10.1371/journal.pntd.0007091. eCollection 2019 Jan.
7
Spatial heterogeneity of hemorrhagic fever with renal syndrome is driven by environmental factors and rodent community composition.肾综合征出血热的空间异质性是由环境因素和啮齿动物群落组成驱动的。
PLoS Negl Trop Dis. 2018 Oct 24;12(10):e0006881. doi: 10.1371/journal.pntd.0006881. eCollection 2018 Oct.
8
Environmental Determinants of Hemorrhagic Fever with Renal Syndrome in High-Risk Counties in China: A Time Series Analysis (2002-2012).中国高风险县区肾综合征出血热的环境决定因素:时间序列分析(2002-2012)。
Am J Trop Med Hyg. 2018 Nov;99(5):1262-1268. doi: 10.4269/ajtmh.18-0544.
9
Spatiotemporal analysis and forecasting model of hemorrhagic fever with renal syndrome in mainland China.中国大陆肾综合征出血热时空分析与预测模型。
Epidemiol Infect. 2018 Oct;146(13):1680-1688. doi: 10.1017/S0950268818002030. Epub 2018 Aug 6.
10
Using a distributed lag non-linear model to identify impact of temperature variables on haemorrhagic fever with renal syndrome in Shandong Province.利用分布式滞后非线性模型识别温度变量对山东省肾综合征出血热的影响。
Epidemiol Infect. 2018 Oct;146(13):1671-1679. doi: 10.1017/S095026881800184X. Epub 2018 Jul 6.
人类周期性汉坦病毒流行——由啮齿动物宿主动态预测。
Epidemics. 2009 Jun;1(2):101-7. doi: 10.1016/j.epidem.2009.03.002. Epub 2009 Apr 2.
4
A global perspective on hantavirus ecology, epidemiology, and disease.从全球视角看汉坦病毒的生态学、流行病学和疾病。
Clin Microbiol Rev. 2010 Apr;23(2):412-41. doi: 10.1128/CMR.00062-09.
5
Climate variability and hemorrhagic fever with renal syndrome transmission in Northeastern China.中国东北地区的气候变异性与肾综合征出血热传播
Environ Health Perspect. 2010 Jul;118(7):915-20. doi: 10.1289/ehp.0901504. Epub 2010 Feb 8.
6
Spatiotemporal dynamics of hemorrhagic fever with renal syndrome, Beijing, People's Republic of China.肾综合征出血热的时空动态,中华人民共和国北京。
Emerg Infect Dis. 2009 Dec;15(12):2043-5. doi: 10.3201/eid1512.081078.
7
Hantavirus infection: a review and global update.汉坦病毒感染:综述与全球最新情况
J Infect Dev Ctries. 2008 Feb 1;2(1):3-23. doi: 10.3855/jidc.317.
8
Population dynamics of two sympatric rodents in a variable environment: rainfall, resource availability, and predation.可变环境中两种同域啮齿动物的种群动态:降雨、资源可利用性与捕食
Ecology. 2009 Jul;90(7):1996-2006. doi: 10.1890/08-0405.1.
9
Predicting high risk for human hantavirus infections, Sweden.瑞典:预测人类汉坦病毒感染的高风险
Emerg Infect Dis. 2009 Jan;15(1):104-6. doi: 10.3201/eid1501.080502.
10
The impact of climate fluctuation on food availability and reproductive performance of the planktivorous red-billed gull Larus novaehollandiae scopulinus.气候波动对食浮游生物的红嘴鸥(Larus novaehollandiae scopulinus)食物供应和繁殖性能的影响。
J Anim Ecol. 2008 Nov;77(6):1129-42. doi: 10.1111/j.1365-2656.2008.01383.x. Epub 2008 Apr 12.