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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

  4556

  PDF: 1302

  HTML: 1220
• 

  MALAREO: a user-driven project

  Michael T. Gebreslasie, Ides Bauwens

  04-11-2015

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

  2941

  PDF: 1308

  HTML: 1016
• 

  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

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

  4094

  PDF: 1566

  HTML: 199
• 

  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

  4475

  PDF: 2348

  HTML: 2212
• 

  Space-time clustering characteristics of dengue based on ecological, socio-economic and demographic factors in northern Sri Lanka

  Sumiko Anno, Keiji Imaoka, Takeo Tadono, Tamotsu Igarashi, Subramaniam Sivaganesh, Selvam Kannathasan, Vaithehi Kumaran, Sinnathamby Noble Surendran

  26-11-2015

  https://doi.org/10.4081/gh.2015.376

  3968

  PDF: 2266

  HTML: 1272
• 

  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

  4728

  PDF: 1702

  HTML: 1224
• 

  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

  2696

  PDF: 1503

  HTML: 2025
• 

  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

  6575

  PDF: 2689

  HTML: 3138
• 

  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

  3962

  PDF: 1766

  HTML: 1214
• 

  Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia

  Amare Sewnet Minale, Kalkidan Alemu

  07-05-2018

  https://doi.org/10.4081/gh.2018.660

  7472

  PDF: 2595

  HTML: 1244
• 

  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

  4727

  PDF: 1870

  HTML: 1760
• 

  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

  4577

  PDF: 1912

  HTML: 1246
• 

  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

  21-11-2016

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

  2829

  PDF: 1594

  HTML: 1173
• 

  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

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

  2703

  PDF: 1238

  HTML: 1138
• 

  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

  3946

  PDF: 1923

  HTML: 2264

• Japan's efforts to promote global health using satellite remote sensing data from the Japan Aerospace Exploration Agency for prediction of infectious diseases and air quality

  Tamotsu Igarashi, Akihiko Kuze, Shinichi Sobue, Aya Yamamoto, Kazuhide Yamamoto, Kei Oyoshi, Keiji Imaoka, Toru Fukuda

  S603-S610

  01-12-2014

  https://doi.org/10.4081/gh.2014.299

  3020

  PDF: 1808
• 

  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

  21-11-2016

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

  2512

  PDF: 1424

  HTML: 1160
• 

  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

  1919

  PDF: 1044

  Appendix: 187

  HTML: 42

• Meteorological, environmental remote sensing and neural network analysis of the epidemiology of malaria transmission in Thailand

  Richard Kiang, Farida Adimi, Valerii Soika, Joseph Nigro, Pratap Singhasivanon, Jeeraphat Sirichaisinthop, Somjai Leemingsawat, Chamnarn Apiwathnasorn, Sornchai Looareesuwan

  71-84

  01-11-2006

  https://doi.org/10.4081/gh.2006.282

  3543

  PDF: 1843
• 

  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

  1074

  PDF: 476

  Supplementary materials: 90

  HTML: 20
• 

  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

  6613

  PDF: 2412

  Appendix: 648

  HTML: 3356

  Appendix: 267
• 

  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

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

  3904

  PDF: 1794

  SUPPL. MATERIAL: 476

  HTML: 1091
• 

  Modelling and analyzing spatial clusters of leptospirosis based on satellite-generated measurements of environmental factors in Thailand during 2013-2015

  Amornrat Luenam, Nattapong Puttanapong

  26-11-2020

  https://doi.org/10.4081/gh.2020.856

  3681

  PDF: 1298

  HTML: 75
• 

  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

  831

  PDF: 394

  HTML: 11
• 

  Spatial association between COVID-19 incidence rate and nighttime light index

  Amornrat Luenam, Nattapong Puttanapong

  18-03-2022

  https://doi.org/10.4081/gh.2022.1066

  2419

  PDF: 733

  HTML: 98

• Remote sensing and climate data as a key for understanding fasciolosis transmission in the Andes: review and update of an ongoing interdisciplinary project

  Márius V. Fuentes

  59-70

  01-11-2006

  https://doi.org/10.4081/gh.2006.281

  1987

  PDF: 1146

• Redefining climate regions in the United States of America using satellite remote sensing and machine learning for public health applications

  Alexander Liss, Magaly Koch, Elena N. Naumova

  S467-S659

  01-12-2014

  https://doi.org/10.4081/gh.2014.294

  3376

  PDF: 1518
• 

  A post-pandemic analysis of air pollution over small-sized urban areas in southern Thailand following the COVID-19 lockdown

  Dimitris Stratoulias, Beomgeun Jang, Narissara Nuthammachot

  07-07-2025

  https://doi.org/10.4081/gh.2025.1354

  1110

  PDF: 473

  Supplementary Materials: 110

  HTML: 62
• 

  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

  3240

  PDF: 1536

  HTML: 202
• 

  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

  4144

  PDF: 1595

  HTML: 1150
• 

  American cutaneous leishmaniasis cases in the metropolitan region of Manaus, Brazil: association with climate variables over time

  Rodrigo Augusto Ferreira de Souza, Rita Valéria Andreoli, Mary Toshie Kayano, Afrânio Lima Carvalho

  18-05-2015

  https://doi.org/10.4081/gh.2015.314

  3124

  PDF: 1571

  HTML: 830
• 

  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

  3441

  PDF: 1760

  HTML: 215
• 

  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

  2537

  PDF: 952

  HTML: 87
• 

  COVID-19, air quality and space monitoring

  Yves M. Tourre, Mireille Paulin, Gilles Dhonneur, David Attias, Atul Pathak

  06-04-2022

  https://doi.org/10.4081/gh.2022.1052

  2077

  PDF: 646

  HTML: 24
• 

  Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events

  Susan Maroney, MaryJane McCool-Eye, Andrew Fox, Christopher Burdett

  10-12-2020

  https://doi.org/10.4081/gh.2020.919

  2850

  PDF: 969

  HTML: 162

• 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

  https://doi.org/10.4081/gh.2014.292

  6522

  PDF: 2635

• Towards establishment of GeoHealth, an open-data portal for health mapping and modelling based on Earth observations by remote sensing

  John B. Malone, Yves M. Tourre, Fazlay Faruque, Jeffrey C. Luvall, Robert Bergquist

  S599-S602

  01-12-2014

  https://doi.org/10.4081/gh.2014.291

  1979

  PDF: 1453

• TerraSAR-X high-resolution radar remote sensing: an operational warning system for Rift Valley fever risk

  Cécile Vignolles, Yves M. Tourre, Oscar Mora, Laurent Imanache, Murielle Lafaye

  23-31

  01-11-2010

  https://doi.org/10.4081/gh.2010.184

  1610

  PDF: 969

• Geospatial Health: the first five years

  Jürg Utzinger, Laura Rinaldi, John B. Malone, Stefanie J. Krauth, Thomas K. Kristensen, Giuseppe Cringoli, Robert Bergquist

  137-154

  01-11-2011

  https://doi.org/10.4081/gh.2011.166

  3246

  PDF: 1431

• New insights into the application of geographical information systems and remote sensing in veterinary parasitology

  Laura Rinaldi, Vincenzo Musella, Annibale Biggeri, Giuseppe Cringoli

  33-47

  01-11-2006

  https://doi.org/10.4081/gh.2006.279

  4042

  PDF: 1754
• 

  A geospatial analysis of cardiometabolic diseases and their risk factors considering environmental features in a midsized city in Argentina

  Micaela Natalia Campero, Carlos Matías Scavuzzo, Veronica Andreo, María Sol Mileo, Micaela Belén Franzois, María Georgina Oberto, Carla Gonzalez Rodriguez, María Daniela Defagó

  23-10-2023

  https://doi.org/10.4081/gh.2023.1212

  1938

  PDF: 932

  HTML: 28

• Mapping urban and peri-urban breeding habitats of Aedes mosquitoes using a fuzzy analytical hierarchical process based on climatic and physical parameters

  Muhammad Shahzad Sarfraz, Nagesh K. Tripathi, Fazlay S. Faruque, Usama Ijaz Bajwa, Asanobu Kitamoto, Marc Souris

  S685-S697

  01-12-2014

  https://doi.org/10.4081/gh.2014.297

  11208

  PDF: 2868

• Influence of topography on the endemicity of Kala-azar: a study based on remote sensing and geographical information system

  Gouri S. Bhunia, Shreekant Kesari, Algarsamy Jeyaram, Vijay Kumar, Pradeep Das

  155-165

  01-05-2010

  https://doi.org/10.4081/gh.2010.197

  2765

  PDF: 991

• Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China

  Guo-Jing Yang, Penelope Vounatsou, Marcel Tanner, Xiao-Nong Zhou, Jürg Utzinger

  85-92

  01-11-2006

  https://doi.org/10.4081/gh.2006.283

  2778

  PDF: 1218
• 

  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

  3575

  PDF: 1415

  HTML: 866
• 

  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

  3592

  PDF: 1668

  HTML: 1049
• 

  The dog and cat population on Maio Island, Cape Verde: characterisation and prediction based on household survey and remotely sensed imagery

  Ana Carolina Lopes Antunes, Els Ducheyne, Ward Bryssinckx, Sara Vieira, Manuel Malta, Yolanda Vaz, Telmo Nunes, Koen Mintiens

  04-11-2015

  https://doi.org/10.4081/gh.2015.386

  3348

  PDF: 1217

  HTML: 1233
• 

  Spatio-temporal analysis of leptospirosis in Brazil and its relationship with flooding

  Alice Nardoni Marteli, Laurindo Antonio Guasselli , Décio Diament , Gabriele Ozório Wink , Vitor Vieira Vasconcelos

  29-11-2022

  https://doi.org/10.4081/gh.2022.1128

  3011

  PDF: 1801

  HTML: 224
• 

  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

  3026

  PDF: 1188

  HTML: 956
• 

  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

  4290

  PDF: 1668

  APPENDIX: 575

  HTML: 1544
• 

  Air quality classification and its temporal trend in Tehran, Iran, 2002-2012

  Raheleh Saniei, Ali Zangiabadi, Mohammad Sharifikia, Yousef Ghavidel

  31-05-2016

  https://doi.org/10.4081/gh.2016.442

  4965

  PDF: 1553

  HTML: 2598

• Geographical information systems in health research and services delivery in the Philippines

  Lydia R. Leonardo, Bobby A. Crisostomo, Juan Antonio A. Solon, Pilarita T. Rivera, Alvin B. Marcelo, Jonathan M. Villasper

  147-155

  01-05-2007

  https://doi.org/10.4081/gh.2007.263

  3448

  PDF: 1503

• Rivers and flooded areas identified by medium-resolution remote sensing improve risk prediction of the highly pathogenic avian influenza H5N1 in Thailand

  Weerapong Thanapongtharm, Thomas P. Van Boeckel, Chandrashekhar Biradar, Xiangming Xiao, Marius Gilbert

  193-201

  01-11-2013

  https://doi.org/10.4081/gh.2013.66

  2051

  PDF: 1237

• Enhancing impact: visualization of an integrated impact assessment strategy

  Gary R. Krieger, Michel A. Bouchard, Isabel Marques de Sa, Isabelle Paris, Zachary Balge, Dane Williams, Burton H. Singer, Mirko S. Winkler, Jürg Utzinger

  303-306

  01-05-2012

  https://doi.org/10.4081/gh.2012.149

  2049

  PDF: 1339

  Video: 0
• 

  Spatio-temporal dynamics of schistosomiasis in Rwanda between 2001 and 2012: impact of the national Neglected Tropical Disease control programme

  Elias Nyandwi, Tom Veldkamp, Frank Badu Osei, Sherif Amer

  08-05-2017

  https://doi.org/10.4081/gh.2017.514

  3515

  PDF: 1237

  HTML: 1082

• An early warning system for Crimean-Congo haemorrhagic fever seasonality in Turkey based on remote sensing technology

  Agustin Estrada-Peña, Zati Vatansever, Aysen Gargili, Turan Buzgan

  127-135

  01-11-2007

  https://doi.org/10.4081/gh.2007.261

  2856

  PDF: 1072

• Geomapping of trematode-induced granulomatous anterior uveitis - a newly identified cause of blindness among children in the Pudukkottai district of the Tamil Nadu State, India

  Jayakumar Duraisamy, Sivakumar Kavitha, Sivakumar Rathinam, Gnanam Vasanthi

  55-63

  01-11-2009

  https://doi.org/10.4081/gh.2009.210

  1502

  PDF: 1029

• 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

  4303

  PDF: 2216

• The use of remotely sensed environmental data in the study of malaria

  Vanessa Machault, Cécile Vignolles, François Borchi, Penelope Vounatsou, Frédéric Pages, Sébastien Briolant, Jean-Pierre Lacaux, Christophe Rogier

  151-168

  01-05-2011

  https://doi.org/10.4081/gh.2011.167

  6032

  PDF: 2305
• 

  A Bayesian spatiotemporal Poisson conditional autoregressive model for dengue haemorrhagic fever in Indonesia integrating satellite-generated environmental data

  Sukarna Sukarna, Hari Wijayanto, Yenni Angraini, Anang Kurnia

  18-07-2025

  https://doi.org/10.4081/gh.2025.1379

  1337

  PDF: 637

  HTML: 58

• Systematic errors in temperature estimates from MODIS data covering the western Palearctic and their impact on a parasite development model

  Jorge Alonso-Carné, Alberto García-Martín, Agustin Estrada-Peña

  1-12

  01-11-2013

  https://doi.org/10.4081/gh.2013.49

  1608

  PDF: 868

• Stratifying land use/land cover for spatial analysis of disease ecology and risk: an example using object-based classification techniques

  David E. Koch, Rhett L. Mohler, Douglas G. Goodin

  15-28

  01-11-2007

  https://doi.org/10.4081/gh.2007.251

  2401

  PDF: 1109

• Rift Valley fever in a zone potentially occupied by Aedes vexans in Senegal: dynamics and risk mapping

  Cécile Vignolles, Jean-Pierre Lacaux, Yves M. Tourre, Guillaume Bigeard, Jacques-André Ndione, Murielle Lafaye

  211-220

  01-05-2009

  https://doi.org/10.4081/gh.2009.221

  2793

  PDF: 1091

• Seasonal relationship between normalized difference vegetation index and abundance of the Phlebotomus kala-azar vector in an endemic focus in Bihar, India

  Gouri S. Bhunia, Shreekant Kesari, Nandini Chatterjee, Rakesh Mandal, Vijay Kumar, Pradeep Das

  51-62

  01-11-2012

  https://doi.org/10.4081/gh.2012.104

  2185

  PDF: 1277

• Using climate information for improved health in Africa: relevance, constraints and opportunities

  Stephen J. Connor, Pietro Ceccato, Tufa Dinku, Judy Omumbo, Emily K. Grover-Kopec, Madeleine C. Thomson

  17-31

  01-11-2006

  https://doi.org/10.4081/gh.2006.278

  1593

  PDF: 885

• Environmental and socio-economic risk modelling for Chagas disease in Bolivia

  Paula Mischler, Michael Kearney, Jennifer C. McCarroll, Ronaldo G.C. Scholte, Penelope Vounatsou, John B. Malone

  S59-S66

  01-09-2012

  https://doi.org/10.4081/gh.2012.123

  4216

  PDF: 1418

• Can landscape metrics help determine the Culicoides imicola distribution in Italy?

  Carla Ippoliti, Marius Gilbert, Sabine Vanhuysse, Maria Goffredo, Giuseppe Satta, Eléonore Wolff, Annamaria Conte

  267-277

  01-11-2013

  https://doi.org/10.4081/gh.2013.72

  2031

  PDF: 1070

• Spatial patterns and eco-epidemiological systems - part II: characterising spatial patterns of the occurrence of the insect vectors of Chagas disease based on remote sensing and field data

  Emmanuel Roux, Annamaria de Fátima Venâncio, Jean-François Girres, Christine A. Romaña

  53-64

  01-11-2011

  https://doi.org/10.4081/gh.2011.157

  1629

  PDF: 867

• Mapping of zones potentially occupied by Aedes vexans and Culex poicilipes mosquitoes, the main vectors of Rift Valley fever in Senegal

  Yves M. Tourre, Jean-Pierre Lacaux, Cecile Vignolles, Jacques-André Ndione, Murielle Lafaye

  69-79

  01-11-2008

  https://doi.org/10.4081/gh.2008.233

  2013

  PDF: 979

• GeoMedStat: an integrated spatial surveillance system to track air pollution and associated healthcare events

  Fazlay S. Faruque, Hui Li, Worth B. Williams, Lance A. Waller, Bruce T. Brackin, Lei Zhang, Kim A. Grimes, Richard W. Finley

  S631-S646

  01-12-2014

  https://doi.org/10.4081/gh.2014.293

  3587

  PDF: 1774

• SandflyMap: leveraging spatial data on sand fly vector distribution for disease risk assessments

  Desmond H. Foley, Richard C. Wilkerson, L. Lynnette Dornak, David B. Pecor, Arpad S. Nyari, Leopoldo M. Rueda, Lewis S. Long, Jason H. Richardson

  S25-S30

  01-09-2012

  https://doi.org/10.4081/gh.2012.119

  2706

  PDF: 1146
• 

  Place and health infrastructure in the Gulf Cooperation Council: A systematic scoping review of GIS applications in health

  Dari Alhuwail, Saad AlSharrah, Neil T Coffee, Faisal H Al-Refaei, Mark Daniel

  29-12-2020

  https://doi.org/10.4081/gh.2020.887

  3190

  PDF: 1164

  HTML: 79
• 

  Mapping displaced populations with reference to social vulnerabilities for post-disaster public health management

  Junaid Ahmad, Anees Ahmad, Mokbul Morshed Ahmad, Nafees Ahmad

  27-11-2017

  https://doi.org/10.4081/gh.2017.576

  3740

  PDF: 1387

  HTML: 1432
• 

  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

  1862

  PDF: 1040

  HTML: 175
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  Associating socio-economic factors with access to public healthcare facilities using geographically weighted regression in the city of Tshwane, South Africa

  Thabiso Moeti, Tholang Mokhele, Solomon Tesfamichael

  20-11-2024

  https://doi.org/10.4081/gh.2024.1288

  4050

  PDF: 756

  HTML: 100
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  Geographical distribution and spatio-temporal patterns of hospitalization due to dengue infection at a leading specialist hospital in Malaysia

  Gary K.K. Low, Panayoti Papapreponis, Ridzuan M. Isa, Seng Chiew Gan, Hui Yee Chee, Kian Keong Te, Nadia M. Hatta

  07-05-2018

  https://doi.org/10.4081/gh.2018.642

  2536

  PDF: 1074

  APPENDIX: 476

  HTML: 130
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  Japan Aerospace Exploration Agency's public-health monitoring and analysis platform: A satellite-derived environmental information system supporting epidemiological study

  Kei Oyoshi, Yosei Mizukami, Ryosuke Kakuda, Yusuke Kobayashi, Hiroki Kai, Takeo Tadono

  14-05-2019

  https://doi.org/10.4081/gh.2019.717

  2029

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  HTML: 108

• Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight

  Micaela Natalia Campero, Carlos Matías Scavuzzo, Carlos Marcelo Scavuzzo, María Dolores Román

  07-05-2024

  https://doi.org/10.4081/gh.2024.1249

  1275

  PDF: 783

  Supplementary Materials: 165

  HTML: 72
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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

  2960

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  HTML: 1151

• 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

  2977

  PDF: 969

  HTML: 94
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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

  2346

  PDF: 998

  HTML: 99
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  Promoting sustainable health equity: accessibility analysis and optimization of tertiary hospital networks in China’s metropolitan areas

  Jiarui Han, Liping Fu, Tong Pei, Tiantian Zhang

  07-10-2025

  https://doi.org/10.4081/gh.2025.1414

  896

  PDF: 713

  Supplementary materials: 93

  HTML: 27
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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

  1524

  PDF: 932

  HTML: 149
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  Spatial and temporal changes in household structure locations using high-resolution satellite imagery for population assessment: an analysis in southern Zambia, 2006-2011

  Timothy Shields, Jessie Pinchoff, Jailos Lubinda, Harry Hamapumbu, Kelly Searle, Tamaki Kobayashi, Philip E. Thuma, William J. Moss, Frank C. Curriero

  31-05-2016

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  2399

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  HTML: 916
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  Prioritizing the location of vaccination centres during the COVID-19 pandemic by bike in the Netherlands

  Adel Al-Huraibi, Sherif Amer, Justine Blanford

  03-03-2025

  https://doi.org/10.4081/gh.2025.1293

  2338

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  HTML: 87

• FleaTickRisk: a meteorological model developed to monitor and predict the activity and density of three tick species and the cat flea in Europe

  Frédéric Beugnet, Karine Chalvet-Monfray, Harilaos Loukos

  97-113

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  https://doi.org/10.4081/gh.2009.213

  3043

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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

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  2420

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  APPENDIX: 670

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• Geospatial Health: achievements, innovations, priorities

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  2059

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  HTML: 101

• Global climate change - a feasibility perspective of its effect on human health at a local scale

  Michele Bernardi

  137-150

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  https://doi.org/10.4081/gh.2008.238

  1886

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• Integrated disease mapping in a polyparasitic world

  Simon Brooker, Jürg Utzinger

  141-146

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  2859

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  Estimating malaria burden in Nigeria: a geostatistical modelling approach

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  7903

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• Baseline drivers of lymphatic filariasis in Burkina Faso

  Michelle C. Stanton, David H. Molyneux, Dominique Kyelem, Roland W. Bougma, Benjamin G. Koudou, Louise A. Kelly-Hope

  159-173

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  3738

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• Geospatial tools for the identification of a malaria corridor in Estado Sucre, a Venezuelan north-eastern state

  Laura Delgado-Petrocelli, Alberto Camardiel, Víctor Hugo Aguilar, Néstor Martinez, Karenia Còrdova, Santiago Ramos

  169-176

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  2593

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• Measuring geographic access to emergency obstetric care: a comparison of travel time estimates modelled using Google Maps Directions API and AccessMod in three Nigerian conurbations

  Peter M. Macharia, Kerry L.M. Wong, Lenka Beňová, Jia Wang, Prestige Tatenda Makanga, Nicolas Ray, Aduragbemi Banke-Thomas

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  3288

  PDF: 1019

  Supplementary Materials: 169

  HTML: 251

• A real-time platform for monitoring schistosomiasis transmission supported by Google Earth and a web-based geographical information system

  Kun Yang, Le-Ping Sun, Yi-Xin Huang, Guo-Jing Yang, Feng Wu, De-Rong Hang, Wei Li, Jian-Feng Zhang, Yong-Sheng Liang, Xiao-Nong Zhou

  195-203

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  https://doi.org/10.4081/gh.2012.137

  3230

  PDF: 1585
• 

  Malignant mesothelioma and asbestos exposure in Europe: Evidence of spatial clustering

  Ewa Wilk, MaÅ‚gorzata KròwczyÅ„ska

  14-05-2021

  https://doi.org/10.4081/gh.2021.951

  4373

  PDF: 1471

  Appendix: 257

  HTML: 648

• Bayesian modelling of geostatistical malaria risk data

  L. Gosoniu, P. Vounatsou, N. Sogoba, T. Smith

  127-139

  01-11-2006

  https://doi.org/10.4081/gh.2006.287

  10267

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• Spatial risk profiling of Schistosoma japonicum in Eryuan county, Yunnan province, China

  Peter Steinmann, Xiao-Nong Zhou, Barbara Matthys, Yuan-Lin Li, Hong-Jun Li, Shao-Rong Chen, Zhong Yang, Weng Fan, Tie-Wu Jia, Lan-Hua Li, Penelope Vounatsou, Jürg Utzinger

  59-73

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  2893

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• Landscape attributes driving avian influenza virus circulation in the Lake Alaotra region of Madagascar

  Laure Guerrini, Mathilde C. Paul, Lucas Leger, Harentsoaniaina R. Andriamanivo, Olivier F. Maminiaina, Marion Jourdan, Sophie Molia, René Rakotondravao, Véronique Chevalier

  445-453

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  2865

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• Localization of kala-azar in the endemic region of Bihar, India based on land use/land cover assessment at different scales

  Gouri S. Bhunia, Shreekant Kesari, Nandini Chatterjee, Vijay Kumar, Pradeep Das

  177-193

  01-05-2012

  https://doi.org/10.4081/gh.2012.136

  1715

  PDF: 1143