Vol. 11 No. 3 (2016) | Geospatial Health

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Vol. 11 No. 3 (2016)

16 November 2016

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Vol. 11 No. 3 (2016)

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Published: 16 November 2016

Original Articles

Associations between time spent in green areas and physical activity among late middle-aged adults

Bart Dewulf, Tijs Neutens, Delfien Van Dyck, Ilse De Bourdeaudhuij, Steven Broekx, Carolien Beckx, Nico Van de Weghe

https://doi.org/10.4081/gh.2016.411

3401

PDF: 1814

HTML: 901
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Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa

Thandi Kapwata, Michael T. Gebreslasie

https://doi.org/10.4081/gh.2016.434

4524

PDF: 2019

APPENDIX 1: 487

APPENDIX 2: 512

HTML: 1654
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Spatial and spatio-temporal analysis of malaria in the state of Acre, western Amazon, Brazil

Leonardo Augusto Kohara Melchior, Francisco Chiaravalloti Neto

https://doi.org/10.4081/gh.2016.443

4334

PDF: 2050

HTML: 1408
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Assessing spatial inequalities in accessing community pharmacies: a mixed geographically weighted approach

Alexander Domnich, Lucia Arata, Daniela Amicizia, Alessio Signori, Roberto Gasparini, Donatella Panatto

https://doi.org/10.4081/gh.2016.457

3591

PDF: 1919

HTML: 1337
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A comparison of temporal and location-based sampling strategies for global positioning system-triggered electronic diaries

Tobias Törnros, Helen Dorn, Markus Reichert, Ulrich Ebner-Priemer, Hans-Joachim Salize, Heike Tost, Andreas Meyer-Lindenberg, Alexander Zipf

https://doi.org/10.4081/gh.2016.473

6262

PDF: 1582

HTML: 983
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Future malaria spatial pattern based on the potential global warming impact in South and Southeast Asia

Hassan M. Khormi, Lalit Kumar

https://doi.org/10.4081/gh.2016.416

5606

PDF: 2720

HTML: 2000
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Local landscape effects on population dynamics of Ixodes ricinus

Naveed Asghar, Mona Petersson, Magnus Johansson, Patrik Dinnetz

https://doi.org/10.4081/gh.2016.487

3513

PDF: 1655

HTML: 842
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Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme

Manuel O. Espinosa, Francisco Polop, Camilo H. Rotela, Marcelo Abril, Carlos M. Scavuzzo

https://doi.org/10.4081/gh.2016.471

4319

PDF: 1706

APPENDIX: 586

HTML: 1545
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Spatial analysis and prediction of the flow of patients to public health centres in a middle-sized Spanish city

Isabel Ramos, Juan J. Cubillas, Francisco R. Feito, Tomas Ureña

https://doi.org/10.4081/gh.2016.452

2274

PDF: 1346

HTML: 1142
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Space-time epidemiology and effect of meteorological parameters on influenza-like illness in Phitsanulok, a northern province in Thailand

Prakash Madhav Nimbalkar, Nitin Kumar Tripathi

https://doi.org/10.4081/gh.2016.447

2537

PDF: 1466

HTML: 1160
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Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis

Xiao Li, Amanda Staudt, Lung-Chang Chien

https://doi.org/10.4081/gh.2016.439

2885

PDF: 1387

APPENDIX: 504

HTML: 1190
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Satellite imagery technology in public health: analysis of site catchment areas for assessment of poliovirus circulation in Nigeria and Niger

Marina Takane, Shizu Yabe, Yumiko Tateshita, Yusuke Kobayashi, Akihiko Hino, Kazuo Isono, Hiromasa Okayasu, Ousmane M. Diop, Takeo Tadono

https://doi.org/10.4081/gh.2016.462

2844

PDF: 1624

HTML: 1175
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Geographic distribution of canine heartworm (Dirofilaria immitis) infection in stray dogs of eastern Romania

Lavinia CiucÄƒ, Vincenzo Musella, Liviu D. Miron, Maria Paola Maurelli, Giuseppe Cringoli, Antonio Bosco, Laura Rinaldi

https://doi.org/10.4081/gh.2016.499

5123

PDF: 1867

HTML: 2287
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Geographically weighted regression for modelling the accessibility to the public hospital network in ConcepciÃ³n Metropolitan Area, Chile

Marcela Martínez Bascuñán, Carolina Rojas Quezada

https://doi.org/10.4081/gh.2016.451

4059

PDF: 1953

HTML: 2213
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Smartphone-assisted spatial data collection improves geographic information quality: pilot study using a birth records dataset

Xiaohui Xu, Hui Hu, Sandie Ha, Daikwon Han

https://doi.org/10.4081/gh.2016.482

3001

PDF: 1127

HTML: 819
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Modelling of the distribution of Biomphalaria glabrata and Biomphalaria straminea in the metropolitan region of Recife, Pernambuco, Brazil

Verônica Santos Barbosa, Ricardo José de Paula Souza e Guimarães, Rodrigo Moraes Loyo, Constança SimÃµes Barbosa

https://doi.org/10.4081/gh.2016.490

3316

PDF: 1462

HTML: 1630
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Predominance and geo-mapping of avian influenza H5N1 in poultry sectors in Egypt

Abdelsatar Arafa, Ihab El-Masry, Shereen Khoulosy, Mohammed K. Hassan, Moussa Soliman, Olubunmi G. Fasanmi, Folorunso O. Fasina, Gwenaelle Dauphin, Juan Lubroth, Yilma M. Jobre

https://doi.org/10.4081/gh.2016.492

3057

PDF: 1274

APPENDIX: 527

HTML: 1531
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The spatio-temporal distribution of Oncomelania hupensis along Yangtze river in Jiangsu Province, China after implementation of a new, integrated schistosomiasis control strategy

Jian He, Wei Li, Robert Bergquist, Jian-Feng Zhang, Liang Shi, Song Zhao, Feng Wu, Kun Yang

https://doi.org/10.4081/gh.2016.480

3347

PDF: 1078

HTML: 915
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Predicting the spatial distribution of Biomphalaria straminea, a potential intermediate host for Schistosoma mansoni, in China

Mohamed R. Habib, Yun-Hai Guo, Shan Lv, Wen-Biao Gu, Xiao-Heng Li, Xiao-Nong Zhou

https://doi.org/10.4081/gh.2016.453

4157

PDF: 1626

HTML: 1150
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Short Communications

Quantifying altitude of human habitation in studies of human health using geographical name server data

Stephen Thielke, Christopher G. Slatore, William A. Banks

https://doi.org/10.4081/gh.2016.463

1739

PDF: 1004

HTML: 842
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