Tsai, C.W.C.W.TsaiYeh, T.-G.T.-G.YehHsiao, Y.-R.Y.-R.HsiaoWAN-SHAN TSAI2019-12-242019-12-242018https://scholars.lib.ntu.edu.tw/handle/123456789/438190Extreme weather events are occurring more frequently as a result of climate change. Recently dengue fever has become a serious issue in southern Taiwan. It may have characteristic temporal scales that can be identified. Some researchers have hypothesized that dengue fever incidences are related to climate change. This study applies time-frequency analysis to time series data concerning dengue fever and hydrologic and meteorological variables. Results of two time-frequency analytical methods - the Hilbert Huang transform (HHT) and the Wavelet Transform (WT) are compared and discussed. As a result, a more effective time-frequency analysis method will be identified to analyze relevant time series data. The most influential time scales of hydrologic and meteorological variables that are associated with dengue fever are determined. Finally, the linkage between hydrologic/meteorological factors and dengue fever incidences can be established using time-dependent intrinsic correlation (TDIC) approaches. © 2018 Elsevier B.V.Climate change; Cross correlation; Dengue fever; Hilbert Huang transform; Time-frequency analysis; Wavelet transform[SDGs]SDG3[SDGs]SDG13climate change; correlation; dengue fever; disease incidence; extreme event; frequency analysis; hydrological change; transform; wavelet analysis; Taiwanjournal article10.1016/j.ecoinf.2018.05.0022-s2.0-85049419816https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049419816&doi=10.1016%2fj.ecoinf.2018.05.002&partnerID=40&md5=d3378f3a9e063c4e15249473d0a703e6