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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
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
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
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
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
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
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, HampÃ¢té BÃ¢, 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
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
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
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
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
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, AfrÃ¢nio Lima Carvalho

18-05-2015

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

3124

PDF: 1571

HTML: 830
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
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
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
Analytical report of the 2016 dengue outbreak in CÃ³rdoba 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 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
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
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
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 VenÃ¢ncio, Jean-François Girres, Christine A. Romaña

53-64

01-11-2011

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

1629

PDF: 867
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
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
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
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
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
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
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
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
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

PDF: 1008

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
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

PDF: 1245

HTML: 1151
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
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
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
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
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
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

2399

PDF: 1170

HTML: 916
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

PDF: 760

HTML: 87
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

2315

PDF: 991
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

2741

PDF: 1387

HTML: 1021
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

2489

PDF: 1102

HTML: 190
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

3935

PDF: 1418

Supplementary Materials: 625

HTML: 204
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

2606

PDF: 1102
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

3627

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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

2978

PDF: 1322

HTML: 895
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

5459

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HTML: 1040
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

1865

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Perspectives on using remotely-sensed imagery in predictive veterinary epidemiology and global early warning systems

Vincent Martin, Lorenzo De Simone, Juan Lubroth, Pietro Ceccato, Véronique Chevalier

3-14

01-11-2007

https://doi.org/10.4081/gh.2007.250

2012

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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

1774

PDF: 1025

HTML: 66
Mapping environmental susceptibility to Saint Louis encephalitis virus, based on a decision tree model of remotelysensed data

Camilo H. Rotela, Lorena I. Spinsanti, Mario A. Lamfri, Marta S. Contigiani, Walter R. Almiròn, Carlos M. Scavuzzo

85-94

01-11-2011

https://doi.org/10.4081/gh.2011.160

1471

PDF: 929
Facilitating participatory multilevel decision-making by using interactive mental maps

Constanze Pfeiffer, Stephanie Glaser, Jayshree Vencatesan, Elke Schliermann-Kraus, Axel Drescher, Rüdiger Glaser

103-112

01-11-2008

https://doi.org/10.4081/gh.2008.236

4820

PDF: 1637
Pleural mesothelioma in Poland: Spatial analysis of malignant mesothelioma prevalence in the period 1999-2013

MaÅ‚gorzata KròwczyÅ„ska, Ewa Wilk, Piotr Pabjanek, Gabriela OlÄ™dzka

09-11-2018

https://doi.org/10.4081/gh.2018.667

1713

PDF: 999

HTML: 113
Modeling freshwater snail habitat suitability and areas of potential snail-borne disease transmission in Uganda

A.S. Stensgaard, A. JÃ¸rgensen, N.B. Kabatereine, C. Rahbek, T.K. Kristensen

93-104

01-11-2006

https://doi.org/10.4081/gh.2006.284

3514

PDF: 1783

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