GIS-aided planning of insecticide spraying to control dengue transmission

Background The purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information system (GIS) into dynamically planning the insecticide spraying area for preventing the transmission of dengue fever. Methods The optimal spraying area to combat dengue i...

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Veröffentlicht in:	International journal of health geographics Jg. 12; H. 1; S. 42
Hauptverfasser:	Chu, Hone-Jay, Chan, Ta-Chien, Jao, Fang-Ju
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 25.09.2013 BioMed Central Ltd Springer Nature B.V
Schlagworte:	Aedes - drug effects Animals Comparative analysis Control Dengue Dengue - epidemiology Dengue - prevention & control Dengue - transmission Dengue fever Disease transmission Disease Transmission, Infectious - prevention & control Epidemics Epidemiology Geographic information systems Geographic Information Systems - trends Health Informatics Health Promotion and Disease Prevention Human Geography Humans Infections Insecticides Insecticides - administration & dosage Integer programming Integrated approach Mathematical models Medical Geography Medicine Medicine & Public Health Mosquito Control - methods Mosquito Control - trends Mosquitoes Planning Planning Techniques Prevention Public Health Remote sensing Spraying Studies Taiwan - epidemiology Vector-borne diseases Taiwan ISEW, Taiwan Integer programming GIS Insecticide spraying planning Epidemic risk Multi-objective Dengue fever
ISSN:	1476-072X, 1476-072X
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Abstract	Background The purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information system (GIS) into dynamically planning the insecticide spraying area for preventing the transmission of dengue fever. Methods The optimal spraying area to combat dengue infections is calculated by the multi-objective integer programming model using the dengue epidemic in 2007 in Tainan City of southern Taiwan and is compared with the areas actually sprayed by the local health department. The dynamic epidemic indicators (i.e. frequency, intensity and duration) that identify major temporal characteristics of the dynamic process of an epidemic are all incorporated into the model. Results The results indicate that the model can design the spraying area effectively when the trade-off between the coverage of dengue epidemics risk and area compactness is considered. Conclusions The model provides an alternative way to obtain a cost-effective spraying area in controlling future dengue epidemics. The proposed model in this study will be beneficial for strategically allocating dengue control resources.
AbstractList	Background: The purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information system (GIS) into dynamically planning the insecticide spraying area for preventing the transmission of dengue fever. Methods: The optimal spraying area to combat dengue infections is calculated by the multi-objective integer programming model using the dengue epidemic in 2007 in Tainan City of southern Taiwan and is compared with the areas actually sprayed by the local health department. The dynamic epidemic indicators (i.e. frequency, intensity and duration) that identify major temporal characteristics of the dynamic process of an epidemic are all incorporated into the model. Results: The results indicate that the model can design the spraying area effectively when the trade-off between the coverage of dengue epidemics risk and area compactness is considered. Conclusions: The model provides an alternative way to obtain a cost-effective spraying area in controlling future dengue epidemics. The proposed model in this study will be beneficial for strategically allocating dengue control resources. Background The purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information system (GIS) into dynamically planning the insecticide spraying area for preventing the transmission of dengue fever. Methods The optimal spraying area to combat dengue infections is calculated by the multi-objective integer programming model using the dengue epidemic in 2007 in Tainan City of southern Taiwan and is compared with the areas actually sprayed by the local health department. The dynamic epidemic indicators (i.e. frequency, intensity and duration) that identify major temporal characteristics of the dynamic process of an epidemic are all incorporated into the model. Results The results indicate that the model can design the spraying area effectively when the trade-off between the coverage of dengue epidemics risk and area compactness is considered. Conclusions The model provides an alternative way to obtain a cost-effective spraying area in controlling future dengue epidemics. The proposed model in this study will be beneficial for strategically allocating dengue control resources. The purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information system (GIS) into dynamically planning the insecticide spraying area for preventing the transmission of dengue fever. The optimal spraying area to combat dengue infections is calculated by the multi-objective integer programming model using the dengue epidemic in 2007 in Tainan City of southern Taiwan and is compared with the areas actually sprayed by the local health department. The dynamic epidemic indicators (i.e. frequency, intensity and duration) that identify major temporal characteristics of the dynamic process of an epidemic are all incorporated into the model. The results indicate that the model can design the spraying area effectively when the trade-off between the coverage of dengue epidemics risk and area compactness is considered. The model provides an alternative way to obtain a cost-effective spraying area in controlling future dengue epidemics. The proposed model in this study will be beneficial for strategically allocating dengue control resources. Doc number: 42 Abstract Background: The purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information system (GIS) into dynamically planning the insecticide spraying area for preventing the transmission of dengue fever. Methods: The optimal spraying area to combat dengue infections is calculated by the multi-objective integer programming model using the dengue epidemic in 2007 in Tainan City of southern Taiwan and is compared with the areas actually sprayed by the local health department. The dynamic epidemic indicators (i.e. frequency, intensity and duration) that identify major temporal characteristics of the dynamic process of an epidemic are all incorporated into the model. Results: The results indicate that the model can design the spraying area effectively when the trade-off between the coverage of dengue epidemics risk and area compactness is considered. Conclusions: The model provides an alternative way to obtain a cost-effective spraying area in controlling future dengue epidemics. The proposed model in this study will be beneficial for strategically allocating dengue control resources. Background The purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information system (GIS) into dynamically planning the insecticide spraying area for preventing the transmission of dengue fever. Methods The optimal spraying area to combat dengue infections is calculated by the multi-objective integer programming model using the dengue epidemic in 2007 in Tainan City of southern Taiwan and is compared with the areas actually sprayed by the local health department. The dynamic epidemic indicators (i.e. frequency, intensity and duration) that identify major temporal characteristics of the dynamic process of an epidemic are all incorporated into the model. Results The results indicate that the model can design the spraying area effectively when the trade-off between the coverage of dengue epidemics risk and area compactness is considered. Conclusions The model provides an alternative way to obtain a cost-effective spraying area in controlling future dengue epidemics. The proposed model in this study will be beneficial for strategically allocating dengue control resources. Keywords: Integer programming, Dengue fever, Insecticide spraying planning, Epidemic risk, GIS, Multi-objective The purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information system (GIS) into dynamically planning the insecticide spraying area for preventing the transmission of dengue fever.BACKGROUNDThe purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information system (GIS) into dynamically planning the insecticide spraying area for preventing the transmission of dengue fever.The optimal spraying area to combat dengue infections is calculated by the multi-objective integer programming model using the dengue epidemic in 2007 in Tainan City of southern Taiwan and is compared with the areas actually sprayed by the local health department. The dynamic epidemic indicators (i.e. frequency, intensity and duration) that identify major temporal characteristics of the dynamic process of an epidemic are all incorporated into the model.METHODSThe optimal spraying area to combat dengue infections is calculated by the multi-objective integer programming model using the dengue epidemic in 2007 in Tainan City of southern Taiwan and is compared with the areas actually sprayed by the local health department. The dynamic epidemic indicators (i.e. frequency, intensity and duration) that identify major temporal characteristics of the dynamic process of an epidemic are all incorporated into the model.The results indicate that the model can design the spraying area effectively when the trade-off between the coverage of dengue epidemics risk and area compactness is considered.RESULTSThe results indicate that the model can design the spraying area effectively when the trade-off between the coverage of dengue epidemics risk and area compactness is considered.The model provides an alternative way to obtain a cost-effective spraying area in controlling future dengue epidemics. The proposed model in this study will be beneficial for strategically allocating dengue control resources.CONCLUSIONSThe model provides an alternative way to obtain a cost-effective spraying area in controlling future dengue epidemics. The proposed model in this study will be beneficial for strategically allocating dengue control resources. The purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information system (GIS) into dynamically planning the insecticide spraying area for preventing the transmission of dengue fever. The optimal spraying area to combat dengue infections is calculated by the multi-objective integer programming model using the dengue epidemic in 2007 in Tainan City of southern Taiwan and is compared with the areas actually sprayed by the local health department. The dynamic epidemic indicators (i.e. frequency, intensity and duration) that identify major temporal characteristics of the dynamic process of an epidemic are all incorporated into the model. The results indicate that the model can design the spraying area effectively when the trade-off between the coverage of dengue epidemics risk and area compactness is considered. The model provides an alternative way to obtain a cost-effective spraying area in controlling future dengue epidemics. The proposed model in this study will be beneficial for strategically allocating dengue control resources.
ArticleNumber	42
Audience	Academic
Author	Chu, Hone-Jay Chan, Ta-Chien Jao, Fang-Ju
AuthorAffiliation	1 Department of Geomatics, National Cheng Kung University, No. 1, University Road, 701 Tainan City, Taiwan 2 Research Center for Humanities and Social Sciences, Academia Sinica, 128 Academia Road, Section 2, 115 Nankang, Taipei, Taiwan
AuthorAffiliation_xml	– name: 1 Department of Geomatics, National Cheng Kung University, No. 1, University Road, 701 Tainan City, Taiwan – name: 2 Research Center for Humanities and Social Sciences, Academia Sinica, 128 Academia Road, Section 2, 115 Nankang, Taipei, Taiwan
Author_xml	– sequence: 1 givenname: Hone-Jay surname: Chu fullname: Chu, Hone-Jay organization: Department of Geomatics, National Cheng Kung University,No. 1 – sequence: 2 givenname: Ta-Chien surname: Chan fullname: Chan, Ta-Chien email: dachianpig@gmail.com organization: Research Center for Humanities and Social Sciences, Academia Sinica – sequence: 3 givenname: Fang-Ju surname: Jao fullname: Jao, Fang-Ju organization: Department of Geomatics, National Cheng Kung University,No. 1
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CitedBy_id	crossref_primary_10_1016_j_apm_2019_12_025 crossref_primary_10_1016_j_apgeog_2015_09_006 crossref_primary_10_1016_j_apgeog_2014_01_012 crossref_primary_10_1007_s41324_018_0224_9 crossref_primary_10_1016_j_jiph_2016_08_003 crossref_primary_10_3389_fmicb_2018_01120 crossref_primary_10_1371_journal_pone_0160230
Cites_doi	10.1186/1471-2458-12-931 10.1002/(SICI)1097-0258(19990315)18:5<497::AID-SIM45>3.0.CO;2-# 10.7883/yoken.JJID.2007.271 10.2149/tmh.2011-S01 10.1371/journal.pntd.0001367 10.1038/nature12060 10.1016/j.scitotenv.2006.02.009 10.26719/2012.18.12.1217 10.1186/1471-2458-12-853 10.1186/1476-072X-8-49 10.1136/bmj.332.7552.1247 10.1016/0166-0462(83)90004-2
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Copyright	Chu et al.; licensee BioMed Central Ltd. 2013 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. COPYRIGHT 2013 BioMed Central Ltd. 2013 Chu et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright © 2013 Chu et al.; licensee BioMed Central Ltd. 2013 Chu et al.; licensee BioMed Central Ltd.
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Keywords	Integer programming GIS Insecticide spraying planning Epidemic risk Multi-objective Dengue fever
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Snippet	Background The purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information system (GIS) into dynamically... The purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information system (GIS) into dynamically planning... Background The purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information system (GIS) into dynamically... Doc number: 42 Abstract Background: The purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information... Background: The purpose of this paper is to integrate a multi-objective integer programming formulation and geographic information system (GIS) into...
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SubjectTerms	Aedes - drug effects Animals Comparative analysis Control Dengue Dengue - epidemiology Dengue - prevention & control Dengue - transmission Dengue fever Disease transmission Disease Transmission, Infectious - prevention & control Epidemics Epidemiology Geographic information systems Geographic Information Systems - trends Health Informatics Health Promotion and Disease Prevention Human Geography Humans Infections Insecticides Insecticides - administration & dosage Integer programming Integrated approach Mathematical models Medical Geography Medicine Medicine & Public Health Mosquito Control - methods Mosquito Control - trends Mosquitoes Planning Planning Techniques Prevention Public Health Remote sensing Spraying Studies Taiwan - epidemiology Vector-borne diseases
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Title	GIS-aided planning of insecticide spraying to control dengue transmission
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