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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

  29-11-2016

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

  3796

  PDF: 1423

  HTML: 1134
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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

  3199

  PDF: 1030

  HTML: 1457
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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

  https://doi.org/10.4081/gh.2015.326

  4146

  PDF: 2213

  HTML: 2173
• 

  Climate change and species distribution: possible scenarios for thermophilic ticks in Romania

  Cristian DomÈ™a, Attila D. Sándor, Andrei D. Mihalca

  31-05-2016

  https://doi.org/10.4081/gh.2016.421

  2841

  PDF: 1325

  HTML: 1675
• 

  Development of the first georeferenced map of Rhipicephalus (Boophilus) spp. in Mexico from 1970 to date and prediction of its spatial distribution

  Yazmin Alcala-Canto, Juan Antonio Figueroa-Castillo, Froylán Ibarra-Velarde, Yolanda Vera-Montenegro, María Eugenia Cervantes-Valencia, Abdelfattah Z.M. Salem, Jorge Alfredo Cuéllar-Ordaz

  07-05-2018

  https://doi.org/10.4081/gh.2018.624

  4334

  PDF: 1200

  HTML: 261
• 

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

  Hassan M. Khormi, Lalit Kumar

  21-11-2016

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

  5236

  PDF: 2450

  HTML: 1982
• 

  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

  2889

  PDF: 1218

  HTML: 1610
• 

  Comparison of the spatial patterns of schistosomiasis in Zimbabwe at two points in time, spaced twenty-nine years apart: is climate variability of importance?

  Ulrik B. Pedersen, Dimitrios-Alexios Karagiannis-Voules, Nicholas Midzi, Tkafira Mduluza, Samson Mukaratirwa, Rasmus Fensholt, Birgitte J. Vennervald, Thomas K. Kristensen, Penelope Vounatsou, Anna-Sofie Stensgaard

  08-05-2017

  https://doi.org/10.4081/gh.2017.505

  3228

  PDF: 1492

  HTML: 1032
• 

  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

  6037

  PDF: 2479

  HTML: 3093
• 

  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

  1596

  PDF: 797

  Appendix: 128

  HTML: 32
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  Combining process-based and correlative models improves predictions of climate change effects on Schistosoma mansoni transmission in eastern Africa

  Anna-Sofie Stensgaard, Mark Booth, Grigory Nikulin, Nicky McCreesh

  31-03-2016

  https://doi.org/10.4081/gh.2016.406

  3919

  PDF: 1461

  HTML: 1056
• 

  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

  2024

  PDF: 855

  HTML: 82
• 

  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

  2346

  PDF: 1435

  HTML: 306
• 

  Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis

  Isabelle Lebert, Séverine Bord, Christine Saint-Andrieux, Eva Cassar, Patrick Gasqui, Frédéric Beugnet, Karine Chalvet-Monfray, Sophie O. Vanwambeke, Gwenaël Vourc’h, Magalie René-Martellet

  17-05-2022

  https://doi.org/10.4081/gh.2022.1058

  6172

  PDF: 2363

  Appendix: 327

  HTML: 282
• 

  Venomous snakebite risk and its implications in Zacatecas State, Mexico 2007-2017

  Jesús Lenin Lara-Galván, Manuel Montesino-San Martín, Xabier Herrero Otero, Juan Felipe Martínez-Montoya, José Jesús Sigala-Rodríguez, Ana Márcia Barbosa

  05-11-2025

  https://doi.org/10.4081/gh.2025.1404

  156

  PDF: 74

  Supplementary materials: 15

  HTML: 0
• 

  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

  21-11-2016

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

  3812

  PDF: 1479

  APPENDIX: 514

  HTML: 1536
• 

  The spatial distribution of Schistosoma mansoni infection in four regions of western Côte d'Ivoire

  Rufin K. Assaré, Ying-Si Lai, Ahoua Yapi, Yves-Nathan T. Tian-Bi, Mamadou Ouattara, Patrick K. Yao, Stefanie Knopp, Penelope Vounatsou, Jürg Utzinger, Eliézer K. N'Goran

  03-06-2015

  https://doi.org/10.4081/gh.2015.345

  4066

  PDF: 1715

  HTML: 1234
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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

  4246

  PDF: 1187

  HTML: 1198
• 

  Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models

  Xavier Barber, David Conesa, Silvia Lladosa, Antonio Lòpez-Quílez

  18-04-2016

  https://doi.org/10.4081/gh.2016.415

  3484

  PDF: 1763

  HTML: 2228
• 

  Projecting malaria hazard from climate change in eastern Africa using large ensembles to estimate uncertainty

  Joseph Leedale, Adrian M. Tompkins, Cyril Caminade, Anne E. Jones, Grigory Nikulin, Andrew P. Morse

  31-03-2016

  https://doi.org/10.4081/gh.2016.393

  4209

  PDF: 1697

  HTML: 2550
• 

  Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia

  Muhammad Aidil Roslan, Romano Ngui, Muhammad Fathi Marzuki, Indra Vythilingam, Aziz Shafie, Sabri Musa, Wan Yusoff Wan Sulaiman

  11-05-2022

  https://doi.org/10.4081/gh.2022.1025

  1635

  PDF: 729

  Annex I-VI: 130

  HTML: 68
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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

  1870

  PDF: 772

  Supplementary Materials: 110

  HTML: 45
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  Zoning the territory of the Republic of Kazakhstan as to the risk of rabies among various categories of animals

  Sarsenbay K. Abdrakhmanov, Akhmetzhan A. Sultanov, Kanatzhan K. Beisembayev, Fedor I. Korennoy, Dosym B. Кushubaev, Ablaikhan S. Каdyrov

  31-05-2016

  https://doi.org/10.4081/gh.2016.429

  2647

  PDF: 1228

  APPENDIX: 636

  HTML: 1458
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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

  766

  PDF: 319

  HTML: 32
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  Predicting frequency distribution and influence of sociodemographic and behavioral risk factors of Schistosoma mansoni infection and analysis of co-infection with intestinal parasites

  Carla V.V. Rollemberg, Marília M.B.L. Silva, Karla C. Rollemberg, Fábio R. Amorim, Nayanna M.N. Lessa, Marcos D.S. Santos, Acácia M.B. Souza, Enaldo V. Melo, Roque P. Almeida, Ângela M. Silva, Guilherme L. Werneck, Mario A. Santos, José A.P. Almeida, Amélia R. Jesus

  18-05-2015

  https://doi.org/10.4081/gh.2015.303

  4683

  PDF: 1894

  HTML: 1081
• 

  Monitoring techniques in the capture and adoption of dogs and cats

  Jason Onell Ardila Galvis, Oswaldo Santos Baquero, Ricardo Augusto Dias, Fernando Ferreira, Evelyn Nestori Chiozzotto, José Henrique Hildebrand Grisi-Filho

  04-11-2015

  https://doi.org/10.4081/gh.2015.339

  4038

  PDF: 1725

  HTML: 1469
• 

  A dynamic, climate-driven model of Rift Valley fever

  Joseph Leedale, Anne E. Jones, Cyril Caminade, Andrew P. Morse

  31-03-2016

  https://doi.org/10.4081/gh.2016.394

  4434

  PDF: 1806

  Appendix: 528

  HTML: 1581
• 

  Factors associated with the spatial distribution of leprosy: a systematic review of the published literature

  Nathan Guilherme de Oliveira, Bruna Eduarda Bortolomai, Andréa Cristina Bogado, Ida Maria Foschiani Dias-Baptista

  18-09-2025

  https://doi.org/10.4081/gh.2025.1394

  413

  PDF: 168

  Supplementary materials: 32

  HTML: 5
• 

  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

  3453

  PDF: 1687

  HTML: 677
• 

  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

  2202

  PDF: 965

  HTML: 130

• Modelling spatial distribution of snails transmitting parasitic worms with importance to human and animal health and analysis of distributional changes in relation to climate

  Ulrik B. Pedersen, Nicholas Midzi, Takafira Mduluza, White Soko, Anna-Sofie Stensgaard, Birgitte J. Vennervald, Samson Mukaratirwa, Thomas K. Kristensen

  335-343

  01-05-2014

  https://doi.org/10.4081/gh.2014.23

  4106

  PDF: 1860
• 

  Assessment of malaria transmission changes in Africa, due to the climate impact of land use change using Coupled Model Intercomparison Project Phase 5 earth system models

  Adrian M. Tompkins, Luca Caporaso

  31-03-2016

  https://doi.org/10.4081/gh.2016.380

  3786

  PDF: 1744

  HTML: 1271
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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

  3540

  PDF: 1542

  HTML: 1183
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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

  6115

  PDF: 2214

  Appendix: 586

  HTML: 3276

  Appendix: 237
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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

  1435

  PDF: 864

  HTML: 49
• 

  Modelling homogeneous regions of social vulnerability to malaria in Rwanda

  Jean Pierre Bizimana, Stefan Kienberger, Michael Hagenlocher, Emmanuel Twarabamenye

  31-03-2016

  https://doi.org/10.4081/gh.2016.404

  3658

  PDF: 1759

  HTML: 2225
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  Impact of climate variability on the occurrence of cutaneous leishmaniasis in Khuzestan Province, southwestern Iran

  Farideh Azimi, Sadegh Shirian, Saranaz Jangjoo, Arman Ai, Tahereh Abbasi

  08-05-2017

  https://doi.org/10.4081/gh.2017.478

  2765

  PDF: 1315

  HTML: 1047
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  Spatial analysis of the prevalence of schistosomiasis in an endemic coastal area in north-eastern Brazil

  Allan D. Santos, Jonhnatas Silva, Ana Caroline Lima, Márcio Santos, Shirley Lima, Monalisa Amor, Carlos Santos, Arthur Vasconcelos, Silvio Dolabella, Karina C.G.M. Araújo

  27-11-2017

  https://doi.org/10.4081/gh.2017.570

  2968

  PDF: 902

  HTML: 866
• 

  MALAREO: a user-driven project

  Michael T. Gebreslasie, Ides Bauwens

  04-11-2015

  https://doi.org/10.4081/gh.2015.329

  2739

  PDF: 1151

  HTML: 977
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  Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites

  Guillermo Albrieu-Llinás, Manuel O. Espinosa, Agustín Quaglia, Marcelo Abril, Carlos Marcelo Scavuzzo

  07-05-2018

  https://doi.org/10.4081/gh.2018.654

  2864

  PDF: 1304

  HTML: 190
• 

  Analytical report of the 2016 dengue outbreak in Córdoba city, Argentina

  Camilo Rotela, Laura Lopez, María Frías Céspedes, Gabriela Barbas, Andrés Lighezzolo, Ximena Porcasi, Mario A. Lanfri, Carlos M. Scavuzzo, David E. Gorla

  06-11-2017

  https://doi.org/10.4081/gh.2017.564

  3256

  PDF: 1278

  HTML: 853
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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

  2532

  PDF: 1391

  HTML: 163

• An update on distribution models for Rhipicephalus microplus in West Africa

  Eva M. De Clercq, Agustin Estrada-Peña, Safiou Adehan, Maxime Madder, Sophie O. Vanwambeke

  301-308

  01-11-2013

  https://doi.org/10.4081/gh.2013.75

  2585

  PDF: 1278
• 

  Spatial analysis of cutaneous leishmaniasis in an endemic area of Iran based on environmental factors

  Roghieh Ramezankhani, Nooshin Sajjadi, Roya Nezakati Esmaeilzadeh, Seyed Ali Jozi, Mohammad Reza Shirzadi

  08-11-2017

  https://doi.org/10.4081/gh.2017.578

  2621

  PDF: 991

  HTML: 925
• 

  Assessing the relationship between environmental factors and malaria vector breeding sites in Swaziland using multi-scale remotely sensed data

  Sabelo Nick Dlamini, Jonas Franke, Penelope Vounatsou

  03-06-2015

  https://doi.org/10.4081/gh.2015.302

  4071

  PDF: 1717

  HTML: 1742
• 

  Space-time scan statistics of 2007-2013 dengue incidence in Cimahi city, Indonesia

  Pandji Wibawa Dhewantara, Andri Ruliansyah, M. Ezza Azmi Fuadiyah, Endang Puji Astuti, Mutiara Widawati

  27-11-2015

  https://doi.org/10.4081/gh.2015.373

  5176

  PDF: 1872

  HTML: 1020

• 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

  1439

  PDF: 629

  HTML: 107
• 

  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

  1935

  PDF: 386

  HTML: 73
• 

  Spatio-temporal outbreaks of campylobacteriosis and the role of fresh-milk vending machines in the Czech Republic: A methodological study

  Lukáš Marek, Vít Pászto

  08-11-2017

  https://doi.org/10.4081/gh.2017.572

  2644

  PDF: 747

  HTML: 833
• 

  Spatial correlates of COVID-19 first wave across continental Portugal

  Bruno Barbosa, Melissa Silva, César Capinha, Ricardo A.C. Garcia, Jorge Rocha

  23-06-2022

  https://doi.org/10.4081/gh.2022.1073

  1389

  PDF: 471

  HTML: 45
• 

  Climate and the distribution of vector-borne diseases: what's in store?

  Robert Bergquist

  08-05-2017

  https://doi.org/10.4081/gh.2017.549

  3196

  PDF: 1319

  HTML: 842
• 

  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

  3228

  PDF: 1304

  HTML: 833
• 

  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

  3982

  PDF: 1709

  APPENDIX 1: 441

  APPENDIX 2: 440

  HTML: 1640
• 

  Human infections and co-infections with helminths in a rural population in Guichi, Anhui Province, China

  Yi Hu, Rui Li, Michael P. Ward, Yue Chen, Henry Lynn, Decheng Wang, Gengxin Chen, Zonggui He, Liqian Sun, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang

  04-11-2015

  https://doi.org/10.4081/gh.2015.374

  2343

  PDF: 1205

  HTML: 968
• 

  Revealing spatio-temporal patterns of rabies spread among various categories of animals in the Republic of Kazakhstan, 2010-2013

  Sarsenbay K. Abdrakhmanov, Kanatzhan K. Beisembayev, Fedor I. Кorennoy, Gulzhan N. Yessembekova, Dosym B. Кushubaev, Ablaikhan S. Кadyrov

  31-05-2016

  https://doi.org/10.4081/gh.2016.455

  2315

  PDF: 1208

  HTML: 1287
• 

  Mosquito breeding site water temperature observations and simulations towards improved vector-borne disease models for Africa

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

  31-03-2016

  https://doi.org/10.4081/gh.2016.391

  2940

  PDF: 1566

  HTML: 4731

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

  Hassan M. Khormi, Lalit Kumar

  405-415

  01-05-2014

  https://doi.org/10.4081/gh.2014.29

  9385

  PDF: 4644

• Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling

  Uwem F. Ekpo, Eveline Hürlimann, Nadine Schur, Akinola. S. Oluwole, Eniola M. Abe, Margaret A. Mafe, Obiageli J. Nebe, Sunday Isiyaku, Francisca Olamiju, Mukaila Kadiri, Temitope O.S. Poopola, Eka I. Braide, Yisa Saka, Chiedu F. Mafiana, Thomas K. Kristensen, Jürg Utzinger, Penelope Vounatsou

  355-366

  01-05-2013

  https://doi.org/10.4081/gh.2013.92

  5379

  PDF: 1922
• 

  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

  1330

  PDF: 315

  HTML: 29
• 

  Prehistoric human migrations: a prospective subject for modelling using geographical information systems

  Robert Bergquist

  25-05-2023

  https://doi.org/10.4081/gh.2023.1210

  1291

  PDF: 451

  HTML: 32
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  Evaluating the utility of companion animal tick surveillance practices for monitoring spread and occurrence of human Lyme disease in West Virginia, 2014-2016

  Brian Hendricks, Miguella Mark-Carew, Jamison Conley

  13-11-2017

  https://doi.org/10.4081/gh.2017.582

  2461

  PDF: 784

  HTML: 744

• Identifying areas of Australia at risk for H5N1 avian influenza infection from exposure to nomadic waterfowl moving throughout the Australo-Papuan region

  Iain J. East, Samuel A. Hamilton, Louise A. Sharp, Michael G. Garner

  17-27

  01-11-2008

  https://doi.org/10.4081/gh.2008.228

  1523

  PDF: 1614
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  Interpreting predictive maps of disease: highlighting the pitfalls of distribution models in epidemiology

  Nicola A. Wardrop, Matthew Geary, Patrick E. Osborne, Peter M. Atkinson

  237-246

  01-11-2014

  https://doi.org/10.4081/gh.2014.397

  2200

  PDF: 1007
• 

  Understanding the relationship between land use and land cover and malaria in Nepal

  Shreejana Bhattarai, Korine N. Kolivras, Kabita Ghimire, Yang Shao

  29-12-2020

  https://doi.org/10.4081/gh.2020.855

  1883

  PDF: 850

  HTML: 29
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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

  2655

  PDF: 1094

  HTML: 1104
• 

  Application of decision tree for prediction of cutaneous leishmaniasis incidence based on environmental and topographic factors in Isfahan Province, Iran

  Roghieh Ramezankhani, Nooshin Sajjadi, Roya Nezakati Esmaeilzadeh, Seyed Ali Jozi, Mohammad Reza Shirzadi

  08-05-2018

  https://doi.org/10.4081/gh.2018.664

  1662

  PDF: 895

  HTML: 160
• 

  Associations between rocky mountain spotted fever and veterinary care access, climatic factors and landscape in the State of Arizona, USA

  Yan Lin, Al Ekram Elahee Hridoy , Meifang Li, Zhe Wang, Li Luo, Xiaogang Ma, Zhuoming Liu, Murphy John, Chao Fan, Irene Ruberto, Xi Gong, Xun Shi

  17-07-2025

  https://doi.org/10.4081/gh.2025.1390

  635

  PDF: 263

  Supplementary Materials: 54

  HTML: 36

• Spatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical models

  Ronaldo G. C. Scholte, Nadine Schur, Maria E. Bavia, Edgar M. Carvalho, Frédérique Chammartin, Jürg Utzinger, Penelope Vounatsou

  97-110

  01-11-2013

  https://doi.org/10.4081/gh.2013.58

  3676

  PDF: 1985
• 

  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

  2070

  PDF: 981

  Supplementary Materials: 158

  HTML: 68
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  Dynamic risk model for Rift Valley fever outbreaks in Kenya based on climate and disease outbreak data

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