Anopheles mosquito density predictive model based on remotely sensed data (Record no. 6134)

MARC details
000 -LEADER
fixed length control field 04336nas a2200445 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817162740.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100209s2009 th uu|m rtt 0| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b12072795
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Diss. no.RS-09-01
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Arisara Charoenpanyanet
245 10 - TITLE STATEMENT
Title Anopheles mosquito density predictive model based on remotely sensed data
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2009
300 ## - PHYSICAL DESCRIPTION
Extent 167 p. :
Other physical details ill.
490 1# - SERIES STATEMENT
Series statement Dissertation ;
Volume/sequential designation no. RS-09-01
500 ## - GENERAL NOTE
General note A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Technical Science
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph.D.) - Asian Institute of Technology, 2009
520 ## - SUMMARY, ETC.
Summary, etc. Malaria cases and its consequent deaths have been predominant unsolved public health issues in Thailand for decades, despite cases have fallen gradually since 1999. 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)". This model was developed by based on reality-based and knowledge-based systems. Remote sensing, Geographic Information Systems (GIS), Global Positioning System (GPS), and statistical models were integrated to develop the model. It is found that NDVI values that are higher than 0.501, temperature values with the range of 25-29°C, relative humidity values with the range of 81-85%, and deciduous forest land cover are the best predictors of the Anopheles mosquito density classes in wet season, while NDVI values that are higher than 0.501, temperature values with the range of 25-29°C, deciduous forest land cover, and elevation 400-700 meters interval are the best predictors for the Anopheles mosquito density classes in dry season. AMDP model was able to predict correctly 79.7% and 73.8% in wet and dry seasons. This model has passed the model validation and model credibility procedures. The results indicate that the model could be applied for prediction of the Anopheles mosquito density in other areas, malaria cases and a tool for decision making system for malaria control planning
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Anopheles
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mosquitoes
General subdivision Remote sensing
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Predictive control
General subdivision Remote sensing
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chen, Xiaoyong,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Souris, Marc,
Relator term Examination committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Saravudh Tipdecho,
Relator term Examination committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Janecek, Paul,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Thai Government,
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Dissertation ;
Volume/sequential designation no. RS-09-01
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B00747">http://203.159.5.9/ait-thesis/detail.php?q=B00747</a>
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b12072795
b mnait
c u
902 ## - LOCAL DATA ELEMENT B, LDB (RLIN)
a 240329
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 100209
First date, FD (RLIN) m
-- a
-- u
-- 0
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 20-AIT Publication
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050004892658
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026 50.00   AIT Diss. no.RS-09-01 30050004892658 17/08/2026 1 17/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026 50.00   AIT Diss. no.RS-09-01 30050120555981 17/08/2026 2 17/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026     AIT Diss. no.RS-09-01 30050160001078 17/08/2026   17/08/2026 40-Archives
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