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Predictive risk mapping of human leptospirosis using support vector machine classification and multilayer perceptron neural network
Predictive risk mapping of human leptospirosis using support vector machine classification and multilayer perceptron neural network
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Predictive risk mapping of human leptospirosis using support vector machine classification and multilayer perceptron neural network

Geospatial health, 2019-05, Vol.14 (1), p.53 [Peer Reviewed Journal]

2019. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1827-1987 ;EISSN: 1970-7096 ;DOI: 10.4081/gh.2019.711 ;PMID: 31099515

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Susceptibility mapping of visceral leishmaniasis based on fuzzy modelling and group decision-making methods
Susceptibility mapping of visceral leishmaniasis based on fuzzy modelling and group decision-making methods
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Susceptibility mapping of visceral leishmaniasis based on fuzzy modelling and group decision-making methods

Geospatial health, 2012-11, Vol.7 (1), p.37-50 [Peer Reviewed Journal]

2012. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1827-1987 ;EISSN: 1970-7096 ;DOI: 10.4081/gh.2012.103 ;PMID: 23242679

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3
Environmental modelling of visceral leishmaniasis by susceptibility-mapping using neural networks: a case study in north-western Iran
Environmental modelling of visceral leishmaniasis by susceptibility-mapping using neural networks: a case study in north-western Iran
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Environmental modelling of visceral leishmaniasis by susceptibility-mapping using neural networks: a case study in north-western Iran

Geospatial health, 2014-11, Vol.9 (1), p.179-191 [Peer Reviewed Journal]

2014. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1827-1987 ;ISSN: 1970-7096 ;EISSN: 1970-7096 ;DOI: 10.4081/gh.2014.15 ;PMID: 25545935

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4
Spatial patterns and eco-epidemiological systems--part I: multi-scale spatial modelling of the occurrence of Chagas disease insect vectors
Spatial patterns and eco-epidemiological systems--part I: multi-scale spatial modelling of the occurrence of Chagas disease insect vectors
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Spatial patterns and eco-epidemiological systems--part I: multi-scale spatial modelling of the occurrence of Chagas disease insect vectors

Geospatial health, 2011-11, Vol.6 (1), p.41-51 [Peer Reviewed Journal]

2011. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1827-1987 ;EISSN: 1970-7096 ;DOI: 10.4081/gh.2011.156 ;PMID: 22109862

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5
Spatial patterns and eco-epidemiological systems--part II: characterising spatial patterns of the occurrence of the insect vectors of Chagas disease based on remote sensing and field data
Spatial patterns and eco-epidemiological systems--part II: characterising spatial patterns of the occurrence of the insect vectors of Chagas disease based on remote sensing and field data
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Spatial patterns and eco-epidemiological systems--part II: characterising spatial patterns of the occurrence of the insect vectors of Chagas disease based on remote sensing and field data

Geospatial health, 2011-11, Vol.6 (1), p.53-64 [Peer Reviewed Journal]

2011. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1827-1987 ;EISSN: 1970-7096 ;DOI: 10.4081/gh.2011.157 ;PMID: 22109863

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