Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/66649
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dc.contributor.authorA. Charoenpanyaneten_US
dc.date.accessioned2019-09-16T12:51:15Z-
dc.date.available2019-09-16T12:51:15Z-
dc.date.issued2019-01-01en_US
dc.identifier.issn16866576en_US
dc.identifier.other2-s2.0-85070765512en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85070765512&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/66649-
dc.description.abstract© Geoinformatics International. There are three systems in the dengue virus transmission cycle: Human system, mosquito system, and temperature system. Therefore, the effect of temperature on the dengue virus incubation period was estimated as a spatial estimation. The temperature parameters from ground station in 2004-2013 are estimated by using the statistical technique. The temperature value in the Mueang Chiang Mai district in 2013 was calculated by using Land sat 8-TIRS. Thereafter, the temperatures were estimated as the spatial dimension based on remotely sensed data in every ÍOyears, that is, 2023, 2033, and 2043. These temperatures are used to estimate the dengue virus incubation period in Aedes mosquito through a suitable equation. It is evident from the study that the dengue virus incubation period in the Aedes mosquito has decreased steadily. The mean dengue virus incubation periods in 2013, 2023, 2033, and 2043 are 11.06 days, 10.30 days, 9.64 days, and 9.06 days, respectively. Furthermore, estimations for the dengue virus incubation period for 2023, 2033, and 2043 point out that the dengue virus incubation period decreases in accordance with priority in time. Areas that are suitable for a dengue virus incubation period of less than 5 days have expanded.en_US
dc.subjectEarth and Planetary Sciencesen_US
dc.subjectPhysics and Astronomyen_US
dc.subjectSocial Sciencesen_US
dc.titleEstimation of dengue virus incubation period in aedes mosquito from temperature variability based on remotely sensed dataen_US
dc.typeJournalen_US
article.title.sourcetitleInternational Journal of Geoinformaticsen_US
article.volume15en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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