气候变化领域集成服务门户(CCPortal): Modeling and predicting dengue fever cases in key regions of the Philippines using remote sensing data

CCPortal

DOI	10.4103/1995-7645.250838
	Modeling and predicting dengue fever cases in key regions of the Philippines using remote sensing data
	Pineda-cortel, Maria Ruth B.; Clemente, Benjie M.; Pham Thi Thanh Nga
发表日期	2019-02-01
ISSN	1995-7645
EISSN	2352-4146
卷号	12 期号:2 页码:60-66
英文摘要	Objective: To correlate climatic and environmental factors such as land surface temperature, rainfall, humidity and normalized difference vegetation index with the incidence of dengue to develop prediction models for the Philippines using remote-sensing d
关键词	Dengue fever Climate change Remote sensing data Autoregressive Integrated Moving Average models
学科领域	Public, Environmental & Occupational Health;Tropical Medicine
语种	英语
WOS记录号	WOS:000457712400002
来源期刊	ASIAN PACIFIC JOURNAL OF TROPICAL MEDICINE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/83256
作者单位	Univ Santo Tomas, Fac Pharm, Dept Med Technol, Espana Blvd, Manila, Philippines
推荐引用方式 GB/T 7714	Pineda-cortel, Maria Ruth B.,Clemente, Benjie M.,Pham Thi Thanh Nga. Modeling and predicting dengue fever cases in key regions of the Philippines using remote sensing data[J],2019,12(2):60-66.
APA	Pineda-cortel, Maria Ruth B.,Clemente, Benjie M.,&Pham Thi Thanh Nga.(2019).Modeling and predicting dengue fever cases in key regions of the Philippines using remote sensing data.ASIAN PACIFIC JOURNAL OF TROPICAL MEDICINE,12(2),60-66.
MLA	Pineda-cortel, Maria Ruth B.,et al."Modeling and predicting dengue fever cases in key regions of the Philippines using remote sensing data".ASIAN PACIFIC JOURNAL OF TROPICAL MEDICINE 12.2(2019):60-66.