title: Future climate data from RCP 4.5 and occurrence of malaria in Korea.
abstract: Since its reappearance at the Military Demarcation Line in 1993, malaria has been occurring annually in Korea. Malaria is regarded as a third grade nationally notifiable disease susceptible to climate change. The objective of this study is to quantify the effect of climatic factors on the occurrence of malaria in Korea and construct a malaria occurrence model for predicting the future trend of malaria under the influence of climate change. Using data from 2001-2011, the effect of time lag between malaria occurrence and mean temperature, relative humidity and total precipitation was investigated using spectral analysis. Also, a principal component regression model was constructed, considering multicollinearity. Future climate data, generated from RCP 4.5 climate change scenario and CNCM3 climate model, was applied to the constructed regression model to simulate future malaria occurrence and analyze the trend of occurrence. Results show an increase in the occurrence of malaria and the shortening of annual time of occurrence in the future.
authors.affiliation: Hydroclimatic Statistical Research Group, Centre Eau Terre Environnement, INRS, Québec, QC G1K 9A9, Canada. Jaewon.Kwak@ete.inrs.ca.
authors.forename: Jaewon
authors.initials: J
authors.lastname: Kwak
authors.affiliation: Department of Civil Engineering, Inha University, Incheon 402-751, Korea. heesung80@hanmail.net.
authors.forename: Huiseong
authors.initials: H
authors.lastname: Noh
authors.affiliation: Columbia Water Center, Earth Institute, Columbia University, New York, NY 10027, USA. soojun78@gmail.com.
authors.forename: Soojun
authors.initials: S
authors.lastname: Kim
authors.affiliation: Department of Biological and Agricultural Engineering, Zachry Department of Civil Engineering, Texas A & M University, College Station, TX 77843, USA. vsingh@tamu.edu.
authors.forename: Vijay P
authors.initials: VP
authors.lastname: Singh
authors.affiliation: Department of Civil Engineering, Inha University, Incheon 402-751, Korea. hongsst81@gmail.com.
authors.forename: Seung Jin
authors.initials: SJ
authors.lastname: Hong
authors.affiliation: Water Environment Research Department, Water Quality Assessment Research Division, National Institute of Environmental Research, Incheon 404-708, Korea. gilkim@korea.kr.
authors.forename: Duckgil
authors.initials: D
authors.lastname: Kim
authors.affiliation: Water Resources Research Division, Water Resources and Environment Research Department, Korea Institute of Civil Engineering and Building Technology, Goyang-si, Gyeonggi-do 411-712, Korea. leeggun@kict.re.kr.
authors.forename: Keonhaeng
authors.initials: K
authors.lastname: Lee
authors.affiliation: Department of Civil Engineering, Inha University, Incheon 402-751, Korea. naraeme@naver.com.
authors.forename: Narae
authors.initials: N
authors.lastname: Kang
authors.affiliation: Department of Civil Engineering, Inha University, Incheon 402-751, Korea. sookim@inha.ac.kr.
authors.forename: Hung Soo
authors.initials: HS
authors.lastname: Kim
mesh_terms: D002980:Climate; D057231:Climate Change; D005544:Forecasting; D006801:Humans; D006813:Humidity; D015994:Incidence; D008288:Malaria / Q000453:epidemiology* / Q000635:transmission; D025341:Principal Component Analysis; D011891:Rain; D056910:Republic of Korea / Q000453:epidemiology; D013696:Temperature