• 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

孟加拉国疟疾流行区卫星和气象资料预测适用性的比较分析。

Comparative analysis on applicability of satellite and meteorological data for prediction of malaria in endemic area in bangladesh.

机构信息

NOAA-CREST, The City College of New York, New York, NY 10031, USA.

出版信息

J Trop Med. 2010;2010:914094. doi: 10.1155/2010/914094. Epub 2011 Jan 12.

DOI:10.1155/2010/914094
PMID:21274441
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3025368/
Abstract

Relationships between yearly malaria incidence and (1) climate data from weather station and (2) satellite-based vegetation health (VH) indices were investigated for prediction of malaria vector activities in Bangladesh. Correlation analysis of percent of malaria cases with Advanced Very High Resolution Radiometer- (AVHRR-) based VH indices represented by the vegetation condition index (VCI-moisture condition) and the temperature condition index (TCI-estimates thermal condition) and with rainfall, relative humidity, and temperature from ground-based meteorological stations. Results show that climate data from weather stations are poorly correlated and are not applicable to estimate prevalence in Bangladesh. The study also has shown that AVHRR-based vegetation health (VH) indices are highly applicable for malaria trend assessment and also for the estimation of the total number of malaria cases in Bangladesh for the period of 1992-2001.

摘要

研究了年度疟疾发病率与（1）气象站的气候数据和（2）基于卫星的植被健康（VH）指数之间的关系，以预测孟加拉国的疟疾媒介活动。用基于高级甚高分辨率辐射计（AVHRR）的 VH 指数（用植被状况指数（VCI-湿度状况）和温度状况指数（TCI-估计热状况）表示）与地面气象站的降雨、相对湿度和温度的相关分析代表了疟疾病例的百分比。结果表明，气象站的气候数据相关性差，不适用于估计孟加拉国的流行率。该研究还表明，基于 AVHRR 的植被健康（VH）指数非常适用于评估疟疾趋势，也适用于估计 1992-2001 年期间孟加拉国的疟疾总病例数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ef6/3025368/097e3fc208d3/JTM2010-914094.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ef6/3025368/60a062f31e49/JTM2010-914094.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ef6/3025368/13977ec4e6de/JTM2010-914094.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ef6/3025368/061ece3650fb/JTM2010-914094.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ef6/3025368/67963b5336be/JTM2010-914094.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ef6/3025368/c691b3ac335a/JTM2010-914094.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ef6/3025368/9fa7121ffce0/JTM2010-914094.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ef6/3025368/097e3fc208d3/JTM2010-914094.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ef6/3025368/60a062f31e49/JTM2010-914094.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ef6/3025368/13977ec4e6de/JTM2010-914094.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ef6/3025368/061ece3650fb/JTM2010-914094.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ef6/3025368/67963b5336be/JTM2010-914094.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ef6/3025368/c691b3ac335a/JTM2010-914094.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ef6/3025368/9fa7121ffce0/JTM2010-914094.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ef6/3025368/097e3fc208d3/JTM2010-914094.007.jpg

相似文献

1
Comparative analysis on applicability of satellite and meteorological data for prediction of malaria in endemic area in bangladesh.孟加拉国疟疾流行区卫星和气象资料预测适用性的比较分析。
J Trop Med. 2010;2010:914094. doi: 10.1155/2010/914094. Epub 2011 Jan 12.
2
Application of advanced very high-resolution radiometer (AVHRR)-based vegetation health indices for modelling and predicting malaria in Northern Benin, West Africa.基于先进甚高分辨率辐射计 (AVHRR) 的植被健康指数在西非贝宁北部疟疾建模和预测中的应用。
Malar J. 2024 Mar 15;23(1):78. doi: 10.1186/s12936-024-04879-1.
3
Analysis of malaria cases in Bangladesh with remote sensing data.利用遥感数据对孟加拉国疟疾病例进行分析。
Am J Trop Med Hyg. 2006 Jan;74(1):17-9.
4
Application of advanced very high resolution radiometer (AVHRR)-based vegetation health indices for estimation of malaria cases.基于先进甚高分辨率辐射计 (AVHRR) 的植被健康指数在疟疾病例估算中的应用。
Am J Trop Med Hyg. 2010 Jun;82(6):1004-9. doi: 10.4269/ajtmh.2010.09-0201.
5
Use of vegetation health data for estimation of aus rice yield in bangladesh.利用植被健康数据估算孟加拉国水稻产量。
Sensors (Basel). 2009;9(4):2968-75. doi: 10.3390/s90402968. Epub 2009 Apr 23.
6
The role of climate variability in the spread of malaria in Bangladeshi highlands.气候变异性在孟加拉高地疟疾传播中的作用。
PLoS One. 2010 Dec 16;5(12):e14341. doi: 10.1371/journal.pone.0014341.
7
Spatial and Temporal Variation of Drought Based on Satellite Derived Vegetation Condition Index in Nepal from 1982⁻2015.基于卫星植被状况指数的尼泊尔 1982-2015 年干旱时空变化。
Sensors (Basel). 2019 Jan 21;19(2):430. doi: 10.3390/s19020430.
8
Predicting malaria occurrence in southwest and north central Nigeria using meteorological parameters.利用气象参数预测尼日利亚西南部和中北部的疟疾发生情况。
Int J Biometeorol. 2013 Sep;57(5):721-8. doi: 10.1007/s00484-012-0599-6. Epub 2012 Oct 27.
9
The association between temperature, rainfall and humidity with common climate-sensitive infectious diseases in Bangladesh.孟加拉国常见气候敏感传染病与温度、降雨和湿度的关联。
PLoS One. 2018 Jun 21;13(6):e0199579. doi: 10.1371/journal.pone.0199579. eCollection 2018.
10
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.

本文引用的文献

1
Analysis of malaria cases in Bangladesh with remote sensing data.利用遥感数据对孟加拉国疟疾病例进行分析。
Am J Trop Med Hyg. 2006 Jan;74(1):17-9.
2
Application of Geographical Information Systems and Remote Sensing technologies for assessing and monitoring malaria risk.地理信息系统和遥感技术在疟疾风险评估与监测中的应用。
Parassitologia. 2005 Mar;47(1):81-96.
3
Drug resistance in Plasmodium falciparum from the Chittagong Hill Tracts, Bangladesh.孟加拉国吉大港山区恶性疟原虫的耐药性
Trop Med Int Health. 2004 Jun;9(6):680-7. doi: 10.1111/j.1365-3156.2004.01249.x.
4
Statics and dynamics of malaria infection in Anopheles mosquitoes.按蚊体内疟疾感染的静态学与动态学
Malar J. 2004 Jun 4;3:13. doi: 10.1186/1475-2875-3-13.
5
El Niño and health.厄尔尼诺与健康。
Lancet. 2003 Nov 1;362(9394):1481-9. doi: 10.1016/S0140-6736(03)14695-8.
6
Climatic variables and transmission of malaria: a 12-year data analysis in Shuchen County, China.气候变量与疟疾传播：中国舒城县的一项12年数据分析
Public Health Rep. 2003 Jan-Feb;118(1):65-71. doi: 10.1093/phr/118.1.65.
7
Failure of national guidelines to diagnose uncomplicated malaria in Bangladesh.孟加拉国的国家指南未能诊断出非复杂性疟疾。
Am J Trop Med Hyg. 2002 Oct;67(4):396-9. doi: 10.4269/ajtmh.2002.67.396.
8
A theoretical approach to predicting the success of genetic manipulation of malaria mosquitoes in malaria control.一种预测疟疾控制中对疟蚊进行基因操纵成功与否的理论方法。
Malar J. 2002 Feb 25;1:3. doi: 10.1186/1475-2875-1-3.
9
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.
10
Three case definitions of malaria and their effect on diagnosis, treatment and surveillance in Cox's Bazar district, Bangladesh.孟加拉国科克斯巴扎尔地区疟疾的三种病例定义及其对诊断、治疗和监测的影响。
Bull World Health Organ. 2001;79(7):648-56.