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An early warning system for dengue d...
~
Haines, Christina Anne.
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An early warning system for dengue disease in Yogyakarta, Indonesia.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
An early warning system for dengue disease in Yogyakarta, Indonesia./
Author:
Haines, Christina Anne.
Description:
64 p.
Notes:
Source: Masters Abstracts International, Volume: 44-06, page: 2679.
Contained By:
Masters Abstracts International44-06.
Subject:
Biology, Biostatistics. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR13819
ISBN:
9780494138199
An early warning system for dengue disease in Yogyakarta, Indonesia.
Haines, Christina Anne.
An early warning system for dengue disease in Yogyakarta, Indonesia.
- 64 p.
Source: Masters Abstracts International, Volume: 44-06, page: 2679.
Thesis (M.Sc.)--University of Alberta (Canada), 2006.
An early warning system for dengue disease in the province of Yogyakarta, Indonesia was developed. Using Poisson general linear models, accurate predictions of the number of recorded dengue cases between June 1999 and August 2004 were obtained up to four months in advance based on past dengue incidence and sea surface temperatures. The methodology and models developed can be easily implemented in future because the procedures are relatively simple and the required data are readily available. Further, reliable predictions can be obtained with an adequate amount of lead time that will successfully allow for proper planning and implementation of effective dengue control programs.
ISBN: 9780494138199Subjects--Topical Terms:
1018416
Biology, Biostatistics.
An early warning system for dengue disease in Yogyakarta, Indonesia.
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Source: Masters Abstracts International, Volume: 44-06, page: 2679.
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An early warning system for dengue disease in the province of Yogyakarta, Indonesia was developed. Using Poisson general linear models, accurate predictions of the number of recorded dengue cases between June 1999 and August 2004 were obtained up to four months in advance based on past dengue incidence and sea surface temperatures. The methodology and models developed can be easily implemented in future because the procedures are relatively simple and the required data are readily available. Further, reliable predictions can be obtained with an adequate amount of lead time that will successfully allow for proper planning and implementation of effective dengue control programs.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR13819
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