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  Satellite-based forest monitoring: spatial and temporal forecast of growing index and short-wave infrared band

  Caroline Bayr, Heinz Gallaun, Ulrike Kleb, Birgit Kornberger, Martin Steinegger, Martin Winter

  18-04-2016

  https://doi.org/10.4081/gh.2016.310

  2523

  PDF: 1441

  HTML: 2020
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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

  https://doi.org/10.4081/gh.2023.1184

  3146

  PDF: 1652

  HTML: 190
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  Comparison of single- and multi-scale models for the prediction of the Culicoides biting midge distribution in Germany

  Renke Lühken, Jörn Martin Gethmann, Petra Kranz, Pia Steffenhagen, Christoph Staubach, Franz J. Conraths, Ellen Kiel

  31-05-2016

  https://doi.org/10.4081/gh.2016.405

  3339

  PDF: 1091

  HTML: 1460
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  Assessing the effects of air temperature and rainfall on malaria incidence: an epidemiological study across Rwanda and Uganda

  Felipe J. Colòn-González, Adrian M. Tompkins, Riccardo Biondi, Jean Pierre Bizimana, Didacus Bambaiha Namanya

  31-03-2016

  https://doi.org/10.4081/gh.2016.379

  6391

  PDF: 2336

  Appendix: 632

  HTML: 3322

  Appendix: 249
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  A breeding site model for regional, dynamical malaria simulations evaluated using in situ temporary ponds observations

  Ernest O. Asare, Adrian M. Tompkins, Leonard K. Amekudzi, Volker Ermert

  31-03-2016

  https://doi.org/10.4081/gh.2016.390

  2842

  PDF: 1186

  HTML: 1136
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  Environmental and geographical factors influence malaria transmission in KwaZulu-Natal province, South Africa

  Osadolor Ebhuoma, Michael Gebreslasie, Oswaldo Villena, Ali Arab

  09-06-2025

  https://doi.org/10.4081/gh.2025.1370

  1194

  PDF: 777

  HTML: 121
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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

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

  4230

  PDF: 1868

  APPENDIX 1: 455

  APPENDIX 2: 476

  HTML: 1647
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  Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning

  Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini, Elahe Pishgar, Robert Bergquist

  26-03-2025

  https://doi.org/10.4081/gh.2025.1319

  2340

  PDF: 679

  HTML: 79
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  Use of an ecologically relevant modelling approach to improve remote sensing-based schistosomiasis risk profiling

  Yvonne Walz, Martin Wegmann, Benjamin Leutner, Stefan Dech, Penelope Vounatsou, Eliézer K. N'Goran, Giovanna Raso, Jürg Utzinger

  30-11-2015

  https://doi.org/10.4081/gh.2015.398

  4428

  PDF: 1270

  HTML: 1210
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  Geostatistical modelling of the malaria risk in Mozambique: effect of the spatial resolution when using remotely-sensed imagery

  Federica Giardina, Jonas Franke, Penelope Vounatsou

  26-11-2015

  https://doi.org/10.4081/gh.2015.333

  3760

  PDF: 1678

  HTML: 1207
• 

  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

  https://doi.org/10.4081/gh.2023.1176

  2767

  PDF: 1206

  Supplementary Materials: 191

  HTML: 107
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  Spatial prediction of the risk of exposure to Echinococcus spp. among schoolchildren and dogs in Ningxia Hui Autonomous Region, People's Republic of China

  Angela M. Cadavid Restrepo, Yu Rong Yang, Donald P. McManus, Darren J. Gray, Tamsin S. Barnes, Gail M. Williams, Ricardo J. Soares Magalhães, Archie C.A. Clements

  07-05-2018

  https://doi.org/10.4081/gh.2018.644

  2203

  PDF: 957

  HTML: 91
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  Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil

  Moara de Santana Martins Rodgers, Elivelton Fonseca, Prixia del Mar Nieto, John B. Malone, Jeffery C. Luvall, Jennifer C. McCarroll, Ryan Harry Avery, Maria Emilia Bavia, Raul Guimaraes, Xue Wen, Marta Mariana Nascimento Silva, Deborah D.M.T. Carneiro, Luciana Lobato Cardim

  08-06-2022

  https://doi.org/10.4081/gh.2022.1095

  1631

  PDF: 969

  HTML: 57
• 

  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

  https://doi.org/10.4081/gh.2018.641

  2376

  PDF: 1052

  HTML: 183
• 

  Diabetes prevalence in the state of Alabama: identifying the risk factors

  Kwaku Karikari Manu, Seth Appiah-Opoku

  31-03-2026

  https://doi.org/10.4081/gh.2026.1465

  226

  PDF: 100

  HTML: 3
• 

  Spatio-temporal analysis of foot traffic dynamics in Charleston County, South Carolina: before, during, and after COVID-19

  Wish Shao, Abolfazl Mollalo, Navid Hashemi Tonekaboni

  23-06-2025

  https://doi.org/10.4081/gh.2025.1363

  729

  PDF: 392

  HTML: 29
• 

  Validation of an interactive map assessing the potential spread of Galba truncatula as intermediate host of Fasciola hepatica in Switzerland

  Rhea Baggenstos, Tobias Dahinden, Paul R. Torgerson, Hansruedi Bär, Christina Rapsch, Gabriela Knubben-Schweizer

  31-05-2016

  https://doi.org/10.4081/gh.2016.418

  2649

  PDF: 1343

  HTML: 1008

• 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

  https://doi.org/10.4081/gh.2024.1279

  2812

  PDF: 870

  HTML: 85
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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

  https://doi.org/10.4081/gh.2023.1151

  2054

  PDF: 886

  Supplementary Materials: 152

  HTML: 59
• 

  Spatial and temporal dynamic analysis of rabies: A review of current methodologies

  Shuaicheng Chen

  30-11-2022

  https://doi.org/10.4081/gh.2022.1139

  2790

  PDF: 1888

  HTML: 393
• 

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

  Verónica Andreo, Juan Rosa, Karina Ramos, O. Daniel Salomón

  06-05-2022

  https://doi.org/10.4081/gh.2022.1033

  1791

  PDF: 918

  Appendix: 162

  HTML: 38
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  Effects of weather and landscape on the equine West Nile virus infection risk in Mississippi, USA

  Guiming Wang

  04-11-2015

  https://doi.org/10.4081/gh.2015.357

  2145

  PDF: 1374

  HTML: 954
• 

  A review of spatial technologies with applications for malaria transmission modelling and control in Africa

  Michael T. Gebreslasie

  26-11-2015

  https://doi.org/10.4081/gh.2015.328

  6336

  PDF: 2615

  HTML: 3128
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  Spatial distribution and sociodemographic risk factors of malaria in Nigerian children less than 5 years old

  Chigozie Louisa J. Ugwu, Temesgen Zewotir

  29-12-2020

  https://doi.org/10.4081/gh.2020.819

  3810

  PDF: 1807

  HTML: 743
• 

  Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis

  Maria Camila Lesmes , Alvaro Ávila-Díaz, Erika Santamaría, Carlos Andrés Morales , Horacio Cadena, Patricia Fuya, Nicolas Frutos, Ximena Porcasi, Catalina Marceló-Díaz

  04-06-2025

  https://doi.org/10.4081/gh.2025.1292

  1697

  PDF: 443

  HTML: 47
• 

  Local landscape effects on population dynamics of Ixodes ricinus

  Naveed Asghar, Mona Petersson, Magnus Johansson, Patrik Dinnetz

  21-11-2016

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

  3392

  PDF: 1430

  HTML: 836
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  Estimating malaria burden in Nigeria: a geostatistical modelling approach

  Nnadozie Onyiri

  04-11-2015

  https://doi.org/10.4081/gh.2015.306

  7563

  PDF: 3160

  HTML: 3275
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  Comparison of complete and spatial sampling frames for estimation of the prevalence of hypertension and diabetes mellitus

  Vasna Joshua, Kamaraj Pattabi, Yuvaraj Jeyaraman, Prabhdeep Kaur, Tarun Bhatnagar, Suresh Arunachalam, Sabarinathan Ramasamy, Venkateshprabhu Janagaraj, Manoj V Murhekar

  30-11-2022

  https://doi.org/10.4081/gh.2022.1097

  2281

  PDF: 920

  HTML: 118
• 

  A spatial lag model analysis of lung cancer incidence and satellite-derived data on air pollution in Thailand from 2020 to 2023

  Wasana Silangam, Amornrat Luenam

  14-11-2025

  https://doi.org/10.4081/gh.2025.1424

  599

  PDF: 331

  HTML: 6

• Application of modern spatio-temporal analysis technologies to identify and visualize patterns of rabies emergence among different animal species in Kazakhstan

  Aizada A. Mukhanbetkaliyeva, Anar M. Kabzhanova, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Temirlan G. Bakishev, Aslan A. Bainiyazov, Rakhimtay B. Tleulessov, Fedor I. Korennoy, Andres M. Perez, Sarsenbay K. Abdrakhmanov

  31-07-2024

  https://doi.org/10.4081/gh.2024.1290

  1716

  PDF: 726

  HTML: 114
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  Mapping, cluster detection and evaluation of risk factors of ovine toxoplasmosis in Southern Italy

  Roberto Condoleo, Vincenzo Musella, Maria Paola Maurelli, Antonio Bosco, Giuseppe Cringoli, Laura Rinaldi

  31-05-2016

  https://doi.org/10.4081/gh.2016.432

  2648

  PDF: 1253

  HTML: 1227
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  Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria

  Abdullahi O. Sanni , Annelize Jonker, Olatunji O. Johnson , Ezra Gayawan , Aminu Shittu , Olubunmi G. Fasanmi , Oluwawemimo A. Adebowale , Folorunso O. Fasina

  12-02-2026

  https://doi.org/10.4081/gh.2026.1316

  709

  PDF: 352

  Supplementary Materials: 83

  HTML: 13
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  Spatial analysis and risk mapping of Fasciola hepatica infection in dairy herds in Ireland

  Nikolaos Selemetas, Els Ducheyne, Paul Phelan, Padraig O'Kiely, Guy Hendrickx, Theo de Waal

  281-291

  19-03-2015

  https://doi.org/10.4081/gh.2015.350

  4347

  PDF: 1962
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  The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure

  Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani

  04-06-2025

  https://doi.org/10.4081/gh.2025.1386

  2644

  PDF: 519

  HTML: 47
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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 Simões Barbosa

  25-11-2016

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

  3171

  PDF: 1358

  HTML: 1622

• Abundance modelling of invasive and indigenous Culicoides species in Spain

  Els Ducheyne, Miguel A. Miranda Chueca, Javier Lucientes, Carlos Calvete, Rosa Estrada, Gert-Jan Boender, Els Goossens, Eva M. De Clercq, Guy Hendrickx

  241-254

  01-11-2013

  https://doi.org/10.4081/gh.2013.70

  2397

  PDF: 1052
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  Spatio-temporal statistics: applications in epidemiology, veterinary medicine and ecology

  Annibale Biggeri, Dolores Catelan, David Conesa, Penelope Vounatsou

  18-04-2016

  https://doi.org/10.4081/gh.2016.469

  2460

  PDF: 1492

  HTML: 924
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  Post-traumatic stress in people from the interior drylands of the Maule region, Chile in the context of climate change

  Cristian Cáceres, Marcelo Leiva-Bianchi, Yony Ormazábal, Carlos Mena, Juan Carlos Cantillana

  18-05-2022

  https://doi.org/10.4081/gh.2022.1045

  2155

  PDF: 1057

  HTML: 69
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  Comparison of GPS imputation methods in environmental health research

  Sungsoon Hwang, Kashica Webber-Ritchey, Elizabeth Moxley

  29-08-2022

  https://doi.org/10.4081/gh.2022.1081

  2310

  PDF: 1069

  HTML: 33

• Aspects of public health development in China’s western region

  Jisha Zhang, Jing Luo, Guolei Chen, Chunyan Zhang, Lianlian Li, Taijia Ma

  15-04-2024

  https://doi.org/10.4081/gh.2024.1252

  2223

  PDF: 603

  HTML: 67
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  Diagnostic approaches to malaria in Zambia, 2009-2014

  Victor M. Mukonka, Emmanuel Chanda, Mulakwa Kamuliwo, Maha A. Elbadry, Pauline K. Wamulume, Mercy Mwanza-Ingwe, Jailos Lubinda, Lindsey A. Laytner, Wenyi Zhang, Gabriel Mushinge, Ubydul Haque

  03-06-2015

  https://doi.org/10.4081/gh.2015.330

  3621

  PDF: 1430

  HTML: 1169
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  Point process methods in epidemiology: application to the analysis of human immunodeficiency virus/acquired immunodeficiency syndrome mortality in urban areas

  Jose Antonio Quesada, Inmaculada Melchor, Andreu Nolasco

  26-05-2017

  https://doi.org/10.4081/gh.2017.506

  1818

  PDF: 988

  HTML: 1058
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  Earth observation in support of malaria control and epidemiology: MALAREO monitoring approaches

  Jonas Franke, Michael Gebreslasie, Ides Bauwens, Julie Deleu, Florian Siegert

  03-06-2015

  https://doi.org/10.4081/gh.2015.335

  4559

  PDF: 1631

  HTML: 1219
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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

  21-11-2016

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

  6094

  PDF: 1456

  HTML: 978
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  The effectiveness of the restricted policy on specific venues in Hong Kong: A spatial point pattern view

  Yijia Liu, Wenzhong Shi, Anshu Zhang, Xiaosheng Zhu

  29-11-2022

  https://doi.org/10.4081/gh.2022.1130

  921

  PDF: 816

  HTML: 22