Bookcover of ANOPHELES MOSQUITO DENSITY PREDICTIVE MODEL USING REMOTELY SENSED DATA
Booktitle:

ANOPHELES MOSQUITO DENSITY PREDICTIVE MODEL USING REMOTELY SENSED DATA

Mapping, Favorable Habitat, Modeling

LAP LAMBERT Academic Publishing (2011-03-08 )

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ISBN-13:

978-3-8443-1537-0

ISBN-10:
3844315373
EAN:
9783844315370
Book language:
English
Blurb/Shorttext:
Malaria cases and its consequent deaths have been predominant unsolved public health issues in Thailand. Malaria transmits through three possible mediums; malaria parasite, human hosts, and Anopheles mosquito. One possible way to solve the malaria problem is to have intervention on any of these mediums. This study focuses on Anopheles mosquito medium, a part of the malaria transmission cycle. As the malaria control methods depend on many setting-specific factors such as endemic, vector species and behavior, seasonality, disease patterns, health service factors and more, which they have not been distributed equally in spatial, therefore the accuracy of these predicted information at timely manner are necessary requirements for effective malaria control planning and preparations. Thus, increasing of spatial accuracy and information updates on the vector density are the main issues for the malaria control. In order to support these requirements, Geo-informatics technology is used to develop the model for predicting Anopheles mosquitoes, which is called “Anopheles Mosquito Density Predictive Model (AMDP model)”.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Arisara Charoenpanyanet
Number of pages:
200
Published at:
2011-03-08
Stock:
Available
Category:
Clinical disciplines
Price:
68.00 €
Keywords:
Malaria, modeling, Anopheles mosquito, Geo-informatics, Mapping, Favorable habitat, Anopheles mosquitoes

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