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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

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

  • 4,699 abstract views
  • 2,464 PDF
  • 2,234 HTML
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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

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

  • 4,364 abstract views
  • 1,734 PDF
  • 1,155 HTML
• 

  Estimating small area health-related characteristics of populations: a methodological review

  Azizur Rahman

  08-05-2017

  DOI https://doi.org/10.4081/gh.2017.495

  • 4,685 abstract views
  • 2,208 PDF
  • 1,391 HTML
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  Climate change and species distribution: possible scenarios for thermophilic ticks in Romania

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

  31-05-2016

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

  • 3,416 abstract views
  • 1,587 PDF
  • 1,691 HTML
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  Improving AfriPop dataset with settlement extents extracted from RapidEye for the border region comprising South-Africa, Swaziland and Mozambique

  Julie Deleu, Jonas Franke, Michael Gebreslasie, Catherine Linard

  04-11-2015

  DOI https://doi.org/10.4081/gh.2015.336

  • 2,879 abstract views
  • 1,371 PDF
  • 1,144 HTML
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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

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

  • 3,653 abstract views
  • 1,233 PDF
  • 1,471 HTML
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  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

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

  • 4,944 abstract views
  • 1,517 PDF
  • 290 HTML
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  Assessing effects of structural zeros on models of canine cancer incidence: a case study of the Swiss Canine Cancer Registry

  Gianluca Boo, Stefan Leyk, Sara Irina Fabrikant, Andreas Pospischil, Ramona Graf

  11-05-2017

  DOI https://doi.org/10.4081/gh.2017.539

  • 3,899 abstract views
  • 1,335 PDF
  • 834 HTML
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  A review of spatial technologies with applications for malaria transmission modelling and control in Africa

  Michael T. Gebreslasie

  26-11-2015

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

  • 6,892 abstract views
  • 2,889 PDF
  • 3,152 HTML
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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

  21-11-2016

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

  • 5,802 abstract views
  • 2,881 PDF
  • 2,003 HTML
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  Geospatial approaches to analysing spatial patterns of stroke incidence and mortality: a systematic review

  Min-Jung Kim

  05-10-2026

  DOI https://doi.org/10.4081/gh.2026.1486

  • 308 abstract views
  • 148 PDF
  • 32 Supplementary materials
  • 6 HTML
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  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

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

  • 3,819 abstract views
  • 1,823 PDF
  • 1,054 HTML
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  Spatial analysis of incidence of cutaneous melanoma in the Friuli Venezia Giulia region in the period 1995-2005

  Lorenzo Cecconi, Anna Busolin, Fabio Barbone, Diego Serraino, Alessandra Chiarugi, Annibale Biggeri, Dolores Catelan

  18-04-2016

  DOI https://doi.org/10.4081/gh.2016.422

  • 2,843 abstract views
  • 2,229 PDF
  • 1,006 HTML
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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

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

  • 3,518 abstract views
  • 1,566 PDF
  • 1,636 HTML
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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

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

  • 4,949 abstract views
  • 1,838 PDF
  • 1,232 HTML
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  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

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

  • 4,825 abstract views
  • 2,070 PDF
  • 1,251 HTML
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  Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data

  Su Yun Kang, Susanna M. Cramb, Nicole M. White, Stephen J. Ball, Kerrie L. Mengersen

  31-05-2016

  DOI https://doi.org/10.4081/gh.2016.428

  • 7,868 abstract views
  • 2,886 PDF
  • 1,247 APPENDIX
  • 5,594 HTML
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  Spatial epidemiology of cancer: a review of data sources, methods and risk factors

  Rita Roquette, Marco Painho, Baltazar Nunes

  08-05-2017

  DOI https://doi.org/10.4081/gh.2017.504

  • 8,958 abstract views
  • 3,746 PDF
  • 2,731 HTML
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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

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

  • 4,784 abstract views
  • 1,399 PDF
  • 1,229 HTML
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  Spatial air pollution modelling for a West-African town

  Sirak Zenebe Gebreab, Danielle Vienneau, Christian Feigenwinter, Hampâté Bâ, Guéladio Cissé, Ming-Yi Tsai

  26-11-2015

  DOI https://doi.org/10.4081/gh.2015.321

  • 4,111 abstract views
  • 1,955 PDF
  • 508 SUPPL. MATERIAL
  • 1,096 HTML
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  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

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

  • 4,025 abstract views
  • 2,099 PDF
  • 2,271 HTML
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  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

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

  • 5,017 abstract views
  • 2,094 PDF
  • 2,569 HTML
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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

  DOI https://doi.org/10.4081/gh.2020.913

  • 4,409 abstract views
  • 1,770 PDF
  • 245 HTML
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  Spatial and temporal dynamic analysis of rabies: A review of current methodologies

  Shuaicheng Chen

  30-11-2022

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

  • 3,458 abstract views
  • 2,505 PDF
  • 492 HTML
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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

  21-11-2016

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

  • 4,541 abstract views
  • 1,809 PDF
  • 629 APPENDIX
  • 1,547 HTML
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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

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

  • 4,650 abstract views
  • 1,809 PDF
  • 1,076 HTML
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  Spatial risk of hypertension in rural China: modelling the effect of dietary, behavioural and climate factors

  Jie Wang, Enwei Zhang, Kun Yang

  23-07-2026

  DOI https://doi.org/10.4081/gh.2026.1498

  • 572 abstract views
  • 288 PDF
  • 14 HTML
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  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

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

  • 2,119 abstract views
  • 1,329 PDF
  • 250 Appendix
  • 45 HTML
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  Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old

  André Oliveira, Antònio J.R. Cabral, Jorge M. Mendes, Maria R.O. Martins, Pedro Cabral

  04-11-2015

  DOI https://doi.org/10.4081/gh.2015.365

  • 3,553 abstract views
  • 1,617 PDF
  • 1,235 HTML
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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

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

  • 2,579 abstract views
  • 1,098 PDF
  • 108 HTML
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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

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

  • 1,814 abstract views
  • 1,110 PDF
  • 178 HTML
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  The spatial distribution of interleukin-4 (IL-4) reference values in China based on a back propagation (BP) neural network

  Zhao Rong Huang, Miao Ge, Xin Rui Pang, Pu Song, Congxia Wang

  13-09-2023

  DOI https://doi.org/10.4081/gh.2023.1197

  • 1,597 abstract views
  • 743 PDF
  • 33 HTML
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  Spatiotemporal distribution and geostatistically interpolated mapping of the melioidosis risk in an endemic zone in Thailand

  Jaruwan Wongbutdee, Jutharat Jittimanee, Wacharapong Saengnill

  05-07-2023

  DOI https://doi.org/10.4081/gh.2023.1189

  • 2,193 abstract views
  • 1,154 PDF
  • 77 HTML
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  Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance

  Amanda G. Carvalho, Carolina Lorraine H. Dias, David J. Blok, Eliane Ignotti, João Gabriel G. Luz

  06-10-2023

  DOI https://doi.org/10.4081/gh.2023.1227

  • 1,870 abstract views
  • 871 PDF
  • 187 Supplementary Materials
  • 29 HTML
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  Household-level spatial modelling of child height-for-age in Northern Province, Rwanda: comparison of geographically weighted and neural network weighted regression models

  Clarisse Kagoyire, Gilbert Nduwayezu, Rachid Oucheikh, Jean Pierre Bizimana, Petter Pilesjö, Ali Mansourian

  14-09-2026

  DOI https://doi.org/10.4081/gh.2026.1491

  • 372 abstract views
  • 156 PDF
  • 79 Supplementary Matrials
  • 24 HTML
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  Preferential sampling in veterinary parasitological surveillance

  Lorenzo Cecconi, Annibale Biggeri, Laura Grisotto, Veronica Berrocal, Laura Rinaldi, Vincenzo Musella, Giuseppe Cringoli, Dolores Catelan

  18-04-2016

  DOI https://doi.org/10.4081/gh.2016.412

  • 2,659 abstract views
  • 1,858 PDF
  • 725 APPENDIX
  • 1,067 HTML
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  Geographically weighted regression for modelling the accessibility to the public hospital network in Concepción Metropolitan Area, Chile

  Marcela Martínez Bascuñán, Carolina Rojas Quezada

  22-11-2016

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

  • 4,262 abstract views
  • 2,088 PDF
  • 2,230 HTML
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  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

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

  • 4,509 abstract views
  • 2,059 PDF
  • 1,499 HTML
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  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

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

  • 2,419 abstract views
  • 1,208 PDF
  • 246 Annex I-VI
  • 88 HTML
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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

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

  • 3,095 abstract views
  • 1,583 PDF
  • 814 APPENDIX
  • 1,524 HTML
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  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

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

  • 1,332 abstract views
  • 628 PDF
  • 139 Supplementary materials
  • 34 HTML
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  Spatiotemporal evolution characteristics and attribution analysis of hepatitis A in mainland China

  Xiaodi Su, Chunxia Qiu, Chunhui Liu

  03-12-2024

  DOI https://doi.org/10.4081/gh.2024.1323

  • 1,631 abstract views
  • 652 PDF
  • 71 HTML
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  Understanding COVID-19: comparison of spatio-temporal analysis methods used to study epidemic spread patterns in the United States

  Chunhui Liu, Xiaodi Su, Zhaoxuan Dong, Xingyu Liu, Chunxia Qiu

  25-05-2023

  DOI https://doi.org/10.4081/gh.2023.1200

  • 2,109 abstract views
  • 967 PDF
  • 98 HTML
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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

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

  • 2,727 abstract views
  • 1,222 PDF
  • 200 HTML
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  Does mobility restriction significantly control infectious disease transmission? Accounting for non-stationarity in the impact of COVID-19 based on Bayesian spatially varying coefficient models

  I Gede Nyoman Mindra Jaya, Anna Chadidjah, Farah Kristiani, Gumgum Darmawan, Jane Christine Princidy

  25-05-2023

  DOI https://doi.org/10.4081/gh.2023.1161

  • 1,683 abstract views
  • 755 PDF
  • 54 HTML
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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

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

  • 2,368 abstract views
  • 1,084 PDF
  • 212 Supplementary Materials
  • 80 HTML
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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

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

  • 4,309 abstract views
  • 2,020 PDF
  • 804 HTML
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  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

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

  • 11,423 abstract views
  • 3,408 PDF
  • 453 Appendix
  • 425 HTML
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  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

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

  • 4,579 abstract views
  • 2,133 PDF
  • 1,288 HTML
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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

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

  • 5,209 abstract views
  • 2,180 PDF
  • 1,105 HTML

• Geospatial determinants of diabetes risk in Thailand: socioeconomic and health service factors

  Withaya Polnakoo, Wongsa Laohasiriwong, Kittipong Sornlorm

  01-07-2026

  DOI https://doi.org/10.4081/gh.2026.1440

  • 410 abstract views
  • 193 PDF
  • 10 HTML
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  Modelling homogeneous regions of social vulnerability to malaria in Rwanda

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

  31-03-2016

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

  • 4,166 abstract views
  • 2,079 PDF
  • 2,268 HTML
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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

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

  • 4,223 abstract views
  • 1,895 PDF
  • 1,230 HTML
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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

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

  • 6,873 abstract views
  • 2,585 PDF
  • 696 Appendix
  • 3,380 HTML
  • 296 Appendix
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  Bivariate spatiotemporal disease mapping of cancer of the breast and cervix uteri among Iranian women

  Mehdi Raei, Volker Johann Schmid, Behzad Mahaki

  08-05-2018

  DOI https://doi.org/10.4081/gh.2018.645

  • 2,779 abstract views
  • 1,359 PDF
  • 154 HTML
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  Spatial accessibility to basic public health services in South Sudan

  Peter M. Macharia, Paul O. Ouma, Ezekiel G. Gogo, Robert W. Snow, Abdisalan M. Noor

  11-05-2017

  DOI https://doi.org/10.4081/gh.2017.510

  • 9,779 abstract views
  • 3,136 PDF
  • 7,759 APPENDIX
  • 1,188 HTML
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  Socioeconomic determinants of pandemics: a spatial methodological approach with evidence from COVID-19 in Nice, France

  Laurent Bailly, Rania Belgaied, Thomas Jobert, Benjamin Montmartin

  15-09-2025

  DOI https://doi.org/10.4081/gh.2025.1383

  • 1,100 abstract views
  • 505 PDF
  • 131 Supplementary materials
  • 34 HTML
• 

  Effects of geographical factors on reference values of the thyroid stimulating hormone in healthy adults in China and its clinical significance

  Xinrui Pang, Miao Ge, Congxia Wang, Jinwei He

  06-05-2022

  DOI https://doi.org/10.4081/gh.2022.1030

  • 1,536 abstract views
  • 883 PDF
  • 335 HTML
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  Spatiotemporal heterogeneity of SARS-CoV-2 diffusion at the city level using geographically weighted Poisson regression model: The case of Bologna, Italy

  Addisu Jember Zeleke, Rossella Miglio, Pierpaolo Palumbo, Paolo Tubertini, Lorenzo Chiari, Bologna MODELS4COVID Study Group of the University of Bologna and the National Institute for Nuclear Physics (INFN)

  01-12-2022

  DOI https://doi.org/10.4081/gh.2022.1145

  • 2,077 abstract views
  • 1,111 PDF
  • 193 Appendix
  • 90 HTML
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  MALAREO: a user-driven project

  Michael T. Gebreslasie, Ides Bauwens

  04-11-2015

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

  • 3,127 abstract views
  • 1,408 PDF
  • 1,021 HTML
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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

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

  • 1,963 abstract views
  • 1,178 PDF
  • 71 HTML
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  Geostatistical integration and uncertainty in pollutant concentration surface under preferential sampling

  Laura Grisotto, Dario Consonni, Lorenzo Cecconi, Dolores Catelan, Corrado Lagazio, Pier Alberto Bertazzi, Michela Baccini, Annibale Biggeri

  18-04-2016

  DOI https://doi.org/10.4081/gh.2016.426

  • 2,681 abstract views
  • 2,045 PDF
  • 1,154 HTML
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  Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches

  Farah Kristiani, I Gede Nyoman Mindra Jaya, Robyn Irawan, Inanta Maria Priscilia

  02-02-2026

  DOI https://doi.org/10.4081/gh.2026.1461

  • 976 abstract views
  • 623 PDF
  • 117 Supplementary materials
  • 23 HTML
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  Where to place emergency ambulance vehicles: use of a capacitated maximum covering location model with real call data

  Soheil Hashtarkhani, Stephen A. Matthews, Ping Yin, Alireza Mohammadi, Shahab Mohammad Ebrahimi, Mahmood Tara, Behzad Kiani

  20-07-2023

  DOI https://doi.org/10.4081/gh.2023.1198

  • 4,088 abstract views
  • 1,484 PDF
  • 997 Supplementary Materials
  • 202 HTML
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  A dynamic, climate-driven model of Rift Valley fever

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

  31-03-2016

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

  • 5,221 abstract views
  • 2,283 PDF
  • 658 Appendix
  • 1,613 HTML
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  Geospatial assessment of primary healthcare centres in Jeddah, Saudi Arabia

  Abdulkader A. Murad, Mohaimin Azmain

  26-02-2026

  DOI https://doi.org/10.4081/gh.2026.1463

  • 1,140 abstract views
  • 614 PDF
  • 29 HTML
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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

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

  • 3,885 abstract views
  • 2,056 PDF
  • 238 HTML
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