Publication: Potential association of dengue hemorrhagic fever incidence and remote senses land surface temperature, Thailand, 1998
Issued Date
2007-05-01
Resource Type
ISSN
01251562
Other identifier(s)
2-s2.0-34547304363
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Mahidol University
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SCOPUS
Bibliographic Citation
Southeast Asian Journal of Tropical Medicine and Public Health. Vol.38, No.3 (2007), 427-433
Suggested Citation
Narong Nitatpattana, Pratap Singhasivanon, Honda Kiyoshi, Haja Andrianasolo, Sutee Yoksan, Jean Paul Gonzalez, Philippe Barbazan Potential association of dengue hemorrhagic fever incidence and remote senses land surface temperature, Thailand, 1998. Southeast Asian Journal of Tropical Medicine and Public Health. Vol.38, No.3 (2007), 427-433. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/24900
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Title
Potential association of dengue hemorrhagic fever incidence and remote senses land surface temperature, Thailand, 1998
Abstract
A pilot study was designed to analyze a potential association between dengue hemorrhagic fever (DHF) incidence and, temperature computed by satellite. DHF is a mosquito transmitted disease, and water vapor and humidity are known to have a positive effect on mosquito life by increasing survival time and shortening the development cycle. Among other available satellite data, Land Surface Temperature (LST) was chosen as an indicator that combined radiated earth temperature and atmospheric water vapor concentration. Monthly DHF incidence was recorded by province during the 1998 epidemic and obtained as a weekly combined report available from the National Ministry of Public Health. Conversely, LST was calculated using remotely sensed data obtained from thermal infrared sensors of NOAA satellites and computed on a provincial scale. Out of nine selected study provinces, five (58.3%) exhibited an LST with a significant positive correlation with rainfall (p < 0.05). In four out of nineteen surveyed provinces (21.3%), LST showed a significant positive correlation with DHF incidence (p < 0.05). Positive association between LST and DHF incidence was significantly correlated in 75% of the cases during non-epidemic months, while no correlation was found during epidemic months, Non-climatic factors are supposed to be at the origin of this discrepancy between seasonality in climate (LST) and DHF incidence during epidemics.