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Comparative Analysis on Applicability of Satellite and Meteorological Data for Prediction of Malaria in Endemic Area in Bangladesh

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 Resolu...

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Detalles Bibliográficos
Autores principales: Rahman, Atiqur, Roytman, Leonid, Goldberg, Mitch, Kogan, Felix
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3025368/
https://www.ncbi.nlm.nih.gov/pubmed/21274441
http://dx.doi.org/10.1155/2010/914094
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author Rahman, Atiqur
Roytman, Leonid
Goldberg, Mitch
Kogan, Felix
author_facet Rahman, Atiqur
Roytman, Leonid
Goldberg, Mitch
Kogan, Felix
author_sort Rahman, Atiqur
collection PubMed
description 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.
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spelling pubmed-30253682011-01-27 Comparative Analysis on Applicability of Satellite and Meteorological Data for Prediction of Malaria in Endemic Area in Bangladesh Rahman, Atiqur Roytman, Leonid Goldberg, Mitch Kogan, Felix J Trop Med Research Article 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. Hindawi Publishing Corporation 2010 2011-01-12 /pmc/articles/PMC3025368/ /pubmed/21274441 http://dx.doi.org/10.1155/2010/914094 Text en Copyright © 2010 Atiqur Rahman et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Rahman, Atiqur
Roytman, Leonid
Goldberg, Mitch
Kogan, Felix
Comparative Analysis on Applicability of Satellite and Meteorological Data for Prediction of Malaria in Endemic Area in Bangladesh
title Comparative Analysis on Applicability of Satellite and Meteorological Data for Prediction of Malaria in Endemic Area in Bangladesh
title_full Comparative Analysis on Applicability of Satellite and Meteorological Data for Prediction of Malaria in Endemic Area in Bangladesh
title_fullStr Comparative Analysis on Applicability of Satellite and Meteorological Data for Prediction of Malaria in Endemic Area in Bangladesh
title_full_unstemmed Comparative Analysis on Applicability of Satellite and Meteorological Data for Prediction of Malaria in Endemic Area in Bangladesh
title_short Comparative Analysis on Applicability of Satellite and Meteorological Data for Prediction of Malaria in Endemic Area in Bangladesh
title_sort comparative analysis on applicability of satellite and meteorological data for prediction of malaria in endemic area in bangladesh
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3025368/
https://www.ncbi.nlm.nih.gov/pubmed/21274441
http://dx.doi.org/10.1155/2010/914094
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