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 Resol...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2010-01-01
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| Series: | Journal of Tropical Medicine |
| Online Access: | http://dx.doi.org/10.1155/2010/914094 |
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| _version_ | 1832553334457761792 |
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| author | Atiqur Rahman Leonid Roytman Mitch Goldberg Felix Kogan |
| author_facet | Atiqur Rahman Leonid Roytman Mitch Goldberg Felix Kogan |
| author_sort | Atiqur Rahman |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-6bcdf15bf2d4457197968038649f7520 |
| institution | Kabale University |
| issn | 1687-9686 1687-9694 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Tropical Medicine |
| spelling | doaj-art-6bcdf15bf2d4457197968038649f75202025-02-03T05:54:11ZengWileyJournal of Tropical Medicine1687-96861687-96942010-01-01201010.1155/2010/914094914094Comparative Analysis on Applicability of Satellite and Meteorological Data for Prediction of Malaria in Endemic Area in BangladeshAtiqur Rahman0Leonid Roytman1Mitch Goldberg2Felix Kogan3NOAA-CREST, The City College of New York, New York, NY 10031, USANOAA/NESDIS, 5200 Auth Road Camp Spring, MD 20746, USANOAA/NESDIS, 5200 Auth Road Camp Spring, MD 20746, USANOAA/NESDIS, 5200 Auth Road Camp Spring, MD 20746, USARelationships 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.http://dx.doi.org/10.1155/2010/914094 |
| spellingShingle | Atiqur Rahman Leonid Roytman Mitch Goldberg Felix Kogan Comparative Analysis on Applicability of Satellite and Meteorological Data for Prediction of Malaria in Endemic Area in Bangladesh Journal of Tropical Medicine |
| 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 |
| url | http://dx.doi.org/10.1155/2010/914094 |
| work_keys_str_mv | AT atiqurrahman comparativeanalysisonapplicabilityofsatelliteandmeteorologicaldataforpredictionofmalariainendemicareainbangladesh AT leonidroytman comparativeanalysisonapplicabilityofsatelliteandmeteorologicaldataforpredictionofmalariainendemicareainbangladesh AT mitchgoldberg comparativeanalysisonapplicabilityofsatelliteandmeteorologicaldataforpredictionofmalariainendemicareainbangladesh AT felixkogan comparativeanalysisonapplicabilityofsatelliteandmeteorologicaldataforpredictionofmalariainendemicareainbangladesh |