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• Spatial patterns of intestinal parasite infections among children and adolescents in some indigenous communities in Argentina

  Carlos Matías Scavuzzo, Micaela Natalia Campero, Rosana Elizabeth Maidana, María Georgina Oberto, María Victoria Periago, Ximena Porcasi

  28-05-2024

  2017

  PDF: 322

  HTML: 73
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  Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach

  Mokhalad A. Majeed, Helmi Z. M. Shafri, Aimrun Wayayok, Zed Zulkafli

  25-05-2023

  1190

  PDF: 567

  Supplementary Materials: 78

  HTML: 23
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  Modelling the domestic poultry population in the United States: A novel approach leveraging remote sensing and synthetic data methods

  Kelly A. Patyk, Mary J. McCool-Eye, David D. South, Christopher L. Burdett, Susan A. Maroney, Andrew Fox, Grace Kuiper, Sheryl Magzamen

  10-12-2020

  2808

  PDF: 921

  HTML: 71

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

  David J. Lary, Fazlay S. Faruque, Nabin Malakar, Alex Moore, Bryan Roscoe, Zachary L. Adams, York Eggelston

  S611-S630

  01-12-2014

  5059

  PDF: 2119
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  From Snow’s map of cholera transmission to dynamic catchment boundary delineation: current front lines in spatial analysis

  Behzad Kiani, Colleen Lau, Robert Bergquist

  26-10-2023

  1001

  PDF: 465

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

  Sumiko Anno, Takeshi Hara, Hiroki Kai, Ming-An Lee, Yi Chang, Kei Oyoshi, Yousei Mizukami, Takeo Tadono

  06-11-2019

  5042

  PDF: 2063

  APPENDIX: 225

  HTML: 286
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  Understanding the spatial non-stationarity in the relationships between malaria incidence and environmental risk factors using Geographically Weighted Random Forest: A case study in Rwanda

  Gilbert Nduwayezu, Pengxiang Zhao, Clarisse Kagoyire, Lina Eklund, Jean Pierre Bizimana, Petter Pilesjo, Ali Mansourian

  25-05-2023

  1575

  PDF: 967

  HTML: 101
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  Application of geo-spatial technology in schistosomiasis modelling in Africa: a review

  Tawanda Manyangadze, Moses John Chimbari, Michael Gebreslasie, Samson Mukaratirwa

  04-11-2015

  3811

  PDF: 1970

  HTML: 2129
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  Visualization of schistosomiasis snail habitats using light unmanned aerial vehicles

  Andrew J. Chamberlin, Isabel J. Jones, Andrea J. Lund, Nicolas Jouanard, Gilles Riveau, Raphaël Ndione, Susanne H. Sokolow, Chelsea L. Wood, Kevin D. Lafferty, Giulio A. De Leo

  08-01-2021

  1242

  HTML: 43

  PDF: 584
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  Spatiotemporal analysis of hand, foot and mouth disease data using time-lag geographically-weighted regression

  Zhi-Min Hong, Hu-Hu Wang, Yan-Juan Wang, Wen-Rui Wang

  29-12-2020

  1522

  PDF: 664

  HTML: 23
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  Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats

  Yuanhua Liu, Jun Zhang, Michael P. Ward, Wei Tu, Lili Yu, Jin Shi, Yi Hu, Fenghua Gao, Zhiguo Cao, Zhijie Zhang

  03-07-2023

  1574

  PDF: 548

  Supplementary Materials: 52

  HTML: 24
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  Validation of a spatial liver fluke model under field conditions in Ireland

  Amalia Naranjo Lucena, María Pía Munita Corbalán, Ana María Martínez-Ibeas, Guy McGrath, Riona Sayers, Grace Mulcahy, Annetta Zintl

  07-05-2018

  1964

  PDF: 833

  HTML: 120
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  Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa

  Thandi Kapwata, Michael T. Gebreslasie

  16-11-2016

  3576

  PDF: 1365

  APPENDIX 1: 392

  APPENDIX 2: 380

  HTML: 1633