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1
Estimating the global abundance of ground level presence of particulate matter (PM2.5)
Estimating the global abundance of ground level presence of particulate matter (PM2.5)
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Estimating the global abundance of ground level presence of particulate matter (PM2.5)

Geospatial health, 2014-12, Vol.8 (3), p.S611-S630 [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 ;EISSN: 1970-7096 ;DOI: 10.4081/gh.2014.292 ;PMID: 25599634

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2
Modelling and analyzing spatial clusters of leptospirosis based on satellite-generated measurements of environmental factors in Thailand during 2013-2015
Modelling and analyzing spatial clusters of leptospirosis based on satellite-generated measurements of environmental factors in Thailand during 2013-2015
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Modelling and analyzing spatial clusters of leptospirosis based on satellite-generated measurements of environmental factors in Thailand during 2013-2015

Geospatial health, 2020-11, Vol.15 (2) [Peer Reviewed Journal]

2020. 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.2020.856 ;PMID: 33461266

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3
Modelling the domestic poultry population in the United States: A novel approach leveraging remote sensing and synthetic data methods
Modelling the domestic poultry population in the United States: A novel approach leveraging remote sensing and synthetic data methods
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Modelling the domestic poultry population in the United States: A novel approach leveraging remote sensing and synthetic data methods

Geospatial health, 2020-12, Vol.15 (2) [Peer Reviewed Journal]

2020. 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.2020.913 ;PMID: 33461269

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4
Application of geo-spatial technology in schistosomiasis modelling in Africa: a review
Application of geo-spatial technology in schistosomiasis modelling in Africa: a review
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Application of geo-spatial technology in schistosomiasis modelling in Africa: a review

Geospatial Health, 2015-11, Vol.10 (2), p.326-326 [Peer Reviewed Journal]

2015. 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.2015.326 ;PMID: 26618307

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5
Employment of Mapping Technology in Antimicrobial Resistance Reporting in Saudi Arabia
Employment of Mapping Technology in Antimicrobial Resistance Reporting in Saudi Arabia
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Employment of Mapping Technology in Antimicrobial Resistance Reporting in Saudi Arabia

Geospatial health, 2020-06, Vol.15 (1) [Peer Reviewed Journal]

2020. 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.2020.868 ;PMID: 32575972

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6
Potential for spread of the white-nose fungus (Pseudogymnoascus destructans) in the Americas: use of Maxent and NicheA to assure strict model transference
Potential for spread of the white-nose fungus (Pseudogymnoascus destructans) in the Americas: use of Maxent and NicheA to assure strict model transference
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Potential for spread of the white-nose fungus (Pseudogymnoascus destructans) in the Americas: use of Maxent and NicheA to assure strict model transference

Geospatial health, 2014-11, Vol.9 (1), p.221-229 [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 ;EISSN: 1970-7096 ;DOI: 10.4081/gh.2014.19 ;PMID: 25545939

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7
Use of Twitter social media activity as a proxy for human mobility to predict the spatiotemporal spread of COVID-19 at global scale
Use of Twitter social media activity as a proxy for human mobility to predict the spatiotemporal spread of COVID-19 at global scale
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Use of Twitter social media activity as a proxy for human mobility to predict the spatiotemporal spread of COVID-19 at global scale

Geospatial health, 2020-06, Vol.15 (1) [Peer Reviewed Journal]

2020. 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.2020.882 ;PMID: 32575957

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8
The changing risk of vector-borne diseases: Global satellite remote sensing and geospatial surveillance at the forefront
The changing risk of vector-borne diseases: Global satellite remote sensing and geospatial surveillance at the forefront
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The changing risk of vector-borne diseases: Global satellite remote sensing and geospatial surveillance at the forefront

Geospatial health, 2021-10, Vol.16 (2) [Peer Reviewed Journal]

2021. 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.2021.1047

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9
Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia
Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia
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Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia

Geospatial health, 2018-05, Vol.13 (1), p.660-660 [Peer Reviewed Journal]

2018. 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.2018.660 ;PMID: 29772888

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10
Spatial statistical analysis of Coronavirus Disease 2019 (Covid-19) in China
Spatial statistical analysis of Coronavirus Disease 2019 (Covid-19) in China
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Spatial statistical analysis of Coronavirus Disease 2019 (Covid-19) in China

Geospatial health, 2020-06, Vol.15 (1) [Peer Reviewed Journal]

2020. 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.2020.867 ;PMID: 32575956

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11
Climate change and the potential global distribution of Aedes aegypti: spatial modelling using geographical information system and CLIMEX
Climate change and the potential global distribution of Aedes aegypti: spatial modelling using geographical information system and CLIMEX
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Climate change and the potential global distribution of Aedes aegypti: spatial modelling using geographical information system and CLIMEX

Geospatial health, 2014-05, Vol.8 (2), p.405-415 [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 ;EISSN: 1970-7096 ;DOI: 10.4081/gh.2014.29

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12
Association between climate variables and dengue incidence in Nakhon Si Thammarat Province, Thailand
Association between climate variables and dengue incidence in Nakhon Si Thammarat Province, Thailand
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Association between climate variables and dengue incidence in Nakhon Si Thammarat Province, Thailand

Geospatial health, 2021-10, Vol.16 (2) [Peer Reviewed Journal]

2021. 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.2021.1012

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13
First year with COVID-19: Assessment and prospects
First year with COVID-19: Assessment and prospects
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First year with COVID-19: Assessment and prospects

Geospatial health, 2020-11, Vol.15 (2) [Peer Reviewed Journal]

2020. 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.2020.953 ;PMID: 33461262

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14
Spatial access disparities to primary health care in rural and remote Australia
Spatial access disparities to primary health care in rural and remote Australia
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Spatial access disparities to primary health care in rural and remote Australia

Geospatial health, 2015-11, Vol.10 (2), p.358-358 [Peer Reviewed Journal]

2015. 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.2015.358 ;PMID: 26618314

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15
Spatio-temporal epidemiology of emergency medical requests in a large urban area. A scan-statistic approach
Spatio-temporal epidemiology of emergency medical requests in a large urban area. A scan-statistic approach
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Spatio-temporal epidemiology of emergency medical requests in a large urban area. A scan-statistic approach

Geospatial health, 2021-10, Vol.16 (2) [Peer Reviewed Journal]

2021. 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.2021.1043

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16
Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning
Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning
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Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning

Geospatial health, 2019-11, Vol.14 (2) [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.2019.771 ;PMID: 31724367

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17
The use of remotely sensed environmental data in the study of malaria
The use of remotely sensed environmental data in the study of malaria
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The use of remotely sensed environmental data in the study of malaria

Geospatial health, 2011-05, Vol.5 (2), p.151-168 [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. ;ISSN: 1827-1987 ;EISSN: 1970-7096 ;DOI: 10.4081/gh.2011.167 ;PMID: 21590665

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18
Measuring neighborhood deprivation for childhood health and development - scale implications in rural and urban context
Measuring neighborhood deprivation for childhood health and development - scale implications in rural and urban context
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Measuring neighborhood deprivation for childhood health and development - scale implications in rural and urban context

Geospatial health, 2021-03, Vol.16 (1) [Peer Reviewed Journal]

2021. 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.2021.926 ;PMID: 33706499

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19
Spatial pattern of dengue cases: An analysis in Bangi District, Selangor, Malaysia
Spatial pattern of dengue cases: An analysis in Bangi District, Selangor, Malaysia
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Spatial pattern of dengue cases: An analysis in Bangi District, Selangor, Malaysia

Geospatial health, 2021-03, Vol.16 (1) [Peer Reviewed Journal]

2021. 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.2021.915 ;PMID: 33706498

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20
Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes
Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes
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Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes

Geospatial health, 2022-05, Vol.17 (1) [Peer Reviewed Journal]

2022. 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.2022.1033 ;PMID: 35532020

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