• 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

肯尼亚的疟疾早期预警。

Malaria early warning in Kenya.

作者信息

Hay S I, Rogers D J, Shanks G D, Myers M F, Snow R W

机构信息

Trypanosomiasis and Land-use in Africa (TALA) Research Group, Dept of Zoology, University of Oxford, South Parks Road, Oxford, UK OX1 3PS.

出版信息

Trends Parasitol. 2001 Feb;17(2):95-9. doi: 10.1016/s1471-4922(00)01763-3.

DOI:10.1016/s1471-4922(00)01763-3
PMID:11228016
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3166846/
Abstract

Kenya displays large spatiotemporal diversity in its climate and ecology. It follows that malaria transmission will reflect this environmental heterogeneity in both space and time. In this article, we discuss how such heterogeneity, and its epidemiological consequences, should be considered in the development of early warning systems for malaria epidemics.

摘要

肯尼亚在气候和生态方面呈现出巨大的时空多样性。因此，疟疾传播在空间和时间上都会反映出这种环境异质性。在本文中，我们讨论了在疟疾流行预警系统的开发中应如何考虑这种异质性及其流行病学后果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0e3/3166846/db33f6bac1ff/ukmss-36360-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0e3/3166846/edcfab03d9c1/ukmss-36360-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0e3/3166846/f39fea96f045/ukmss-36360-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0e3/3166846/db33f6bac1ff/ukmss-36360-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0e3/3166846/edcfab03d9c1/ukmss-36360-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0e3/3166846/f39fea96f045/ukmss-36360-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0e3/3166846/db33f6bac1ff/ukmss-36360-f0003.jpg

相似文献

1
Malaria early warning in Kenya.肯尼亚的疟疾早期预警。
Trends Parasitol. 2001 Feb;17(2):95-9. doi: 10.1016/s1471-4922(00)01763-3.
2
Forecasting and prevention of epidemic malaria: new perspectives on an old problem.流行性疟疾的预测与预防：老问题的新视角
Parassitologia. 1999 Sep;41(1-3):439-48.
3
Forecasting, warning, and detection of malaria epidemics: a case study.疟疾流行的预测、预警与检测：一项案例研究
Lancet. 2003 May 17;361(9370):1705-6. doi: 10.1016/S0140-6736(03)13366-1.
4
Weather-based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia II. Weather-based prediction systems perform comparably to early detection systems in identifying times for interventions.埃塞俄比亚疟疾流行地区基于天气的恶性疟原虫疟疾预测 II. 基于天气的预测系统在确定干预时机方面与早期检测系统表现相当。
Malar J. 2004 Nov 19;3:44. doi: 10.1186/1475-2875-3-44.
5
Malaria epidemic early warning and detection in African highlands.非洲高地的疟疾流行预警与检测
Trends Parasitol. 2004 Sep;20(9):400-5. doi: 10.1016/j.pt.2004.07.005.
6
The development of Malaria Early Warning Systems for Africa.非洲疟疾早期预警系统的发展。
Trends Parasitol. 2001 Sep;17(9):438-45. doi: 10.1016/s1471-4922(01)02077-3.
7
Malaria early warning in Kenya and seasonal climate forecasts.肯尼亚的疟疾早期预警与季节性气候预测
Lancet. 2003 Aug 16;362(9383):580. doi: 10.1016/S0140-6736(03)14135-9.
8
Meteorologic influences on Plasmodium falciparum malaria in the Highland Tea Estates of Kericho, Western Kenya.气象因素对肯尼亚西部凯里乔高地茶园恶性疟原虫疟疾的影响。
Emerg Infect Dis. 2002 Dec;8(12):1404-8. doi: 10.3201/eid0812.020077.
9
Performance of forecasting, warning and detection of malaria epidemics in the highlands of western Kenya.肯尼亚西部高地疟疾流行的预测、预警及检测成效
Trends Parasitol. 2003 Sep;19(9):394-9. doi: 10.1016/s1471-4922(03)00190-9.
10
Weather-based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia I. Patterns of lagged weather effects reflect biological mechanisms.基于天气的埃塞俄比亚疟疾流行区恶性疟预测。I. 滞后天气效应模式反映生物学机制。
Malar J. 2004 Nov 12;3:41. doi: 10.1186/1475-2875-3-41.

引用本文的文献

1
Epidemic malaria dynamics in Ethiopia: the role of self-limiting, poverty, HIV, climate change and human population growth.埃塞俄比亚的疟疾流行动态：自限性、贫困、HIV、气候变化和人口增长的作用。
Malar J. 2022 Apr 27;21(1):135. doi: 10.1186/s12936-022-04161-2.
2
Dynamical Malaria Forecasts Are Skillful at Regional and Local Scales in Uganda up to 4 Months Ahead.动态疟疾预测在乌干达的区域和地方尺度上提前4个月都具有预测能力。
Geohealth. 2019 Mar 22;3(3):58-66. doi: 10.1029/2018GH000157. eCollection 2019 Mar.
3
A Dynamical and Zero-Inflated Negative Binomial Regression Modelling of Malaria Incidence in Limpopo Province, South Africa.南非林波波省疟疾发病率的动态零膨胀负二项回归模型。
Int J Environ Res Public Health. 2019 Jun 5;16(11):2000. doi: 10.3390/ijerph16112000.
4
Systematic Assessment of the Climate Sensitivity of Important Human and Domestic Animals Pathogens in Europe.欧洲重要人类和家养动物病原体的气候敏感性系统评估。
Sci Rep. 2017 Aug 2;7(1):7134. doi: 10.1038/s41598-017-06948-9.
5
Using remote sensing environmental data to forecast malaria incidence at a rural district hospital in Western Kenya.利用遥感环境数据预测肯尼亚西部农村地区医院的疟疾发病率。
Sci Rep. 2017 Jun 1;7(1):2589. doi: 10.1038/s41598-017-02560-z.
6
Predictability of epidemic malaria under non-stationary conditions with process-based models combining epidemiological updates and climate variability.结合流行病学更新和气候变异性的基于过程模型在非平稳条件下对流行性疟疾的预测能力
Malar J. 2015 Oct 26;14:419. doi: 10.1186/s12936-015-0937-3.
7
Can timely vector control interventions triggered by atypical environmental conditions prevent malaria epidemics? A case-study from Wajir County, Kenya.由非典型环境条件引发的及时病媒控制干预措施能否预防疟疾流行？肯尼亚瓦吉尔县的一个案例研究。
PLoS One. 2014 Apr 3;9(4):e92386. doi: 10.1371/journal.pone.0092386. eCollection 2014.
8
A scoping review of malaria forecasting: past work and future directions.疟疾预测的范围综述：过去的工作和未来的方向。
BMJ Open. 2012 Nov 24;2(6). doi: 10.1136/bmjopen-2012-001992. Print 2012.
9
Characterizing the spatial and temporal variation of malaria incidence in Bangladesh, 2007.描述 2007 年孟加拉国疟疾发病率的时空变化。
Malar J. 2012 May 21;11:170. doi: 10.1186/1475-2875-11-170.
10
The potential of Pathfinder AVHRR data for providing surrogate climatic variables across Africa and Europe for epidemiological applications.探路者高级甚高分辨率辐射计（AVHRR）数据在为非洲和欧洲提供用于流行病学应用的替代气候变量方面的潜力。
Remote Sens Environ. 2002 Feb;79(2-3):166-175. doi: 10.1016/S0034-4257(01)00270-X.

本文引用的文献

1
Forecasting of epidemic malaria in the Punjab, India.印度旁遮普邦流行性疟疾的预测
Am J Trop Med Hyg. 1949 Jan;29(1):1-17. doi: 10.4269/ajtmh.1949.s1-29.1.
2
Epidemiological basis of malaria control.疟疾控制的流行病学基础。
Bull World Health Organ. 1956;15(3-5):613-26.
3
Earth observation, geographic information systems and Plasmodium falciparum malaria in sub-Saharan Africa.撒哈拉以南非洲地区的地球观测、地理信息系统与恶性疟原虫疟疾
Adv Parasitol. 2000;47:173-215. doi: 10.1016/s0065-308x(00)47009-0.
4
An overview of remote sensing and geodesy for epidemiology and public health application.用于流行病学和公共卫生应用的遥感与大地测量概述。
Adv Parasitol. 2000;47:1-35. doi: 10.1016/s0065-308x(00)47005-3.
5
Changing patterns of clinical malaria since 1965 among a tea estate population located in the Kenyan highlands.1965年以来肯尼亚高地一个茶园人群中临床疟疾模式的变化。
Trans R Soc Trop Med Hyg. 2000 May-Jun;94(3):253-5. doi: 10.1016/s0035-9203(00)90310-9.
6
Etiology of interepidemic periods of mosquito-borne disease.蚊媒疾病流行间期的病因学。
Proc Natl Acad Sci U S A. 2000 Aug 1;97(16):9335-9. doi: 10.1073/pnas.97.16.9335.
7
A climate-based distribution model of malaria transmission in sub-Saharan Africa.撒哈拉以南非洲基于气候的疟疾传播分布模型。
Parasitol Today. 1999 Mar;15(3):105-11. doi: 10.1016/s0169-4758(99)01396-4.
8
Deriving meteorological variables across Africa for the study and control of vector-borne disease: a comparison of remote sensing and spatial interpolation of climate.获取非洲各地的气象变量以用于媒介传播疾病的研究与控制：气候遥感与空间插值的比较
Trop Med Int Health. 1999 Jan;4(1):58-71. doi: 10.1046/j.1365-3156.1999.00355.x.
9
Reemergence of epidemic malaria in the highlands of western Kenya.肯尼亚西部高地流行性疟疾再度出现。
Emerg Infect Dis. 1998 Oct-Dec;4(4):671-6. doi: 10.3201/eid0404.980422.
10
Epidemic of malaria in north-eastern Kenya.肯尼亚东北部疟疾疫情。
Lancet. 1998 Oct 24;352(9137):1356-7. doi: 10.1016/s0140-6736(05)60747-7.