Search

Search Results

• 

  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

  4420

  PDF: 1267

  HTML: 1209
• 

  MALAREO: a user-driven project

  Michael T. Gebreslasie, Ides Bauwens

  04-11-2015

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

  2836

  PDF: 1241

  HTML: 994
• 

  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

  3865

  PDF: 1466

  HTML: 184
• 

  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

  4350

  PDF: 2292

  HTML: 2199
• 

  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

  3781

  PDF: 2194

  HTML: 1268
• 

  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

  4552

  PDF: 1626

  HTML: 1219
• 

  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

  2506

  PDF: 1423

  HTML: 2019
• 

  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

  6323

  PDF: 2602

  HTML: 3127
• 

  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

  3749

  PDF: 1667

  HTML: 1205
• 

  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

  7216

  PDF: 2501

  HTML: 1221
• 

  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

  4381

  PDF: 1807

  HTML: 1752
• 

  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

  4365

  PDF: 1827

  HTML: 1238
• 

  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

  2714

  PDF: 1544

  HTML: 1160
• 

  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

  2607

  PDF: 1177

  HTML: 1130
• 

  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

  3810

  PDF: 1852

  HTML: 2244

• 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

  2874

  PDF: 1735
• 

  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

  2374

  PDF: 1348

  HTML: 1145
• 

  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

  1782

  PDF: 910

  Appendix: 158

  HTML: 37
• 

  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

  757

  PDF: 368

  Supplementary materials: 71

  HTML: 12

• 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

  3310

  PDF: 1755
• 

  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

  6376

  PDF: 2325

  Appendix: 629

  HTML: 3320

  Appendix: 249
• 

  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

  3795

  PDF: 1710

  SUPPL. MATERIAL: 457

  HTML: 1085
• 

  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

  3460

  PDF: 1229

  HTML: 69
• 

  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

  575

  PDF: 319

  HTML: 5
• 

  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

  2243

  PDF: 685

  HTML: 89

• 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

  3267

  PDF: 1436

• 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

  1864

  PDF: 1077
• 

  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

  982

  PDF: 391

  Supplementary Materials: 85

  HTML: 51
• 

  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

  3087

  PDF: 1427

  HTML: 196
• 

  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

  3955

  PDF: 1488

  HTML: 1142
• 

  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

  3011

  PDF: 1506

  HTML: 817
• 

  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

  3109

  PDF: 1637

  HTML: 190
• 

  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

  2314

  PDF: 648

  HTML: 79
• 

  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

  1901

  PDF: 590

  HTML: 22
• 

  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

  2668

  PDF: 905

  HTML: 148

• 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

  1473

  PDF: 915

• 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

  3091

  PDF: 1352

• 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

  3722

  PDF: 1661
• 

  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

  1682

  PDF: 831

  HTML: 26

• 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

  10976

  PDF: 2777

• 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

  2467

  PDF: 932

• 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

  2579

  PDF: 1150

• 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

  6224

  PDF: 2540

• 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

  1898

  PDF: 1404
• 

  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

  3420

  PDF: 1606

  HTML: 1040
• 

  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

  3428

  PDF: 1345

  HTML: 860
• 

  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

  3222

  PDF: 1139

  HTML: 1226
• 

  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

  2656

  PDF: 1633

  HTML: 203
• 

  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

  2849

  PDF: 1077

  HTML: 946
• 

  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

  4086

  PDF: 1580

  APPENDIX: 552

  HTML: 1540
• 

  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

  4819

  PDF: 1480

  HTML: 2583

• 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

  1391

  PDF: 990

• 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

  4047

  PDF: 2094

• 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

  5664

  PDF: 2175
• 

  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

  1136

  PDF: 537

  HTML: 52

• 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

  1461

  PDF: 823

• 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

  2275

  PDF: 1070

• 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

  2677

  PDF: 1026

• 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

  2083

  PDF: 1242

• 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

  1476

  PDF: 850

• 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

  3881

  PDF: 1353

• 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

  1874

  PDF: 993

• 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

  1506

  PDF: 839

• 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

  3520

  PDF: 1637

• 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

  1558

  PDF: 922

• 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

  2373

  PDF: 1093

• 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

  1900

  PDF: 1176

• 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

  3249

  PDF: 1447

• 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

  1910

  PDF: 1242

  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

  3431

  PDF: 1191

  HTML: 1078

• 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

  2698

  PDF: 1010
• 

  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

  2966

  PDF: 1108

  HTML: 68
• 

  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

  3569

  PDF: 1305

  HTML: 1426
• 

  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

  1749

  PDF: 987

  HTML: 165
• 

  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

  2166

  PDF: 648

  HTML: 90
• 

  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

  2420

  PDF: 1017

  APPENDIX: 453

  HTML: 122
• 

  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

  1949

  PDF: 925

  HTML: 100

• 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

  1117

  PDF: 667

  Supplementary Materials: 139

  HTML: 65
• 

  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

  2836

  PDF: 1179

  HTML: 1136

• 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

  2787

  PDF: 857

  HTML: 84
• 

  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

  2196

  PDF: 935

  HTML: 91
• 

  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

  667

  PDF: 578

  Supplementary materials: 65

  HTML: 14
• 

  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

  https://doi.org/10.4081/gh.2016.410

  2270

  PDF: 1112

  HTML: 910
• 

  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

  1155

  PDF: 745

  HTML: 119
• 

  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

  2157

  PDF: 702

  HTML: 83
• 

  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

  4138

  PDF: 1398

  Appendix: 233

  HTML: 617

• 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

  9833

  PDF: 1751

• 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

  01-05-2014

  https://doi.org/10.4081/gh.2014.33

  2734

  PDF: 1156

• 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

  01-11-2007

  https://doi.org/10.4081/gh.2007.255

  2708

  PDF: 923

• 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

  1505

  PDF: 1061

• Upscale or downscale: applications of fine scale remotely sensed data to Chagas disease in Argentina and schistosomiasis in Kenya

  Uriel Kitron, Julie A. Clennon, M. Carla Cecere, Ricardo E. Gürtler, Charles H. King, Gonzalo Vazquez-Prokopec

  49-58

  01-11-2006

  https://doi.org/10.4081/gh.2006.280

  2516

  PDF: 1024

• Ecological niche modeling for visceral leishmaniasis in the state of Bahia, Brazil, using genetic algorithm for rule-set prediction and growing degree day-water budget analysis

  Prixia Nieto, John B. Malone, Maria E. Bavia

  115-126

  01-11-2006

  https://doi.org/10.4081/gh.2006.286

  2143

  PDF: 930
• 

  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

  2644

  PDF: 1338

  HTML: 1007
• 

  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

  2369

  PDF: 1049

  HTML: 180
• 

  Mapping livestock systems, bovine and caprine diseases in Mayo-Kebbi Ouest Province, Chad

  Kella Douzouné, Joseph Oloukoi, Ismaila Toko Imorou, Toure Gorgui Ba, Derrick Chefor Ymele Demeveng

  03-02-2025

  https://doi.org/10.4081/gh.2025.1365

  3691

  PDF: 1242

  Supplementary Materials: 603

  HTML: 195

• A geospatial risk assessment model for leprosy in Ethiopia based on environmental thermal-hydrological regime analysis

  Azeb Tadesse Argaw, E.J. Shannon, Abraham Assefa, Fekade Silassie Mikru, Berhane Kidane Mariam, John B. Malone

  105-113

  01-11-2006

  https://doi.org/10.4081/gh.2006.285

  2471

  PDF: 1037

• Correlation between normalized difference vegetation index and malaria in a subtropical rain forest undergoing rapid anthropogenic alteration

  Nicole M. Wayant, Diego Maldonado, Antonieta Rojas de Arias, Blanca Cousiño, Douglas G. Goodin

  179-190

  01-05-2010

  https://doi.org/10.4081/gh.2010.199

  3456

  PDF: 1314
• 

  Geographic clustering of elderly people with above-norm anthropometric measurements and blood chemistry

  Carlos Mena, Eduardo Fuentes, Yony Ormazábal, Iván Palomo

  11-05-2017

  https://doi.org/10.4081/gh.2017.523

  2902

  PDF: 1276

  HTML: 886
• 

  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

  5323

  PDF: 1981

  HTML: 1026

• Study of the variation of schistosomiasis risk in Lake Poyang in the People's Republic of China using multiple space-borne sensors for monitoring and modelling

  Kuo-Hsin Tseng, Song Liang, Motomu Ibaraki, Hyongki Lee, C. K. Shum

  353-364

  01-05-2014

  https://doi.org/10.4081/gh.2014.25

  1753

  PDF: 1098