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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

4115

PDF: 1098

HTML: 1196
MALAREO: a user-driven project

Michael T. Gebreslasie, Ides Bauwens

04-11-2015

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

2619

PDF: 1038

HTML: 973
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

3283

PDF: 1095

HTML: 129
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

4014

PDF: 2099

HTML: 2149
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

3491

PDF: 1993

HTML: 1261
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

4167

PDF: 1437

HTML: 1215
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

2173

PDF: 1173

HTML: 2011
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

5865

PDF: 2326

HTML: 3064
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

3435

PDF: 1418

HTML: 1177
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

6671

PDF: 2157

HTML: 1135
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

3916

PDF: 1571

HTML: 1739
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

3871

PDF: 1601

HTML: 1230
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

2450

PDF: 1381

HTML: 1141
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

2383

PDF: 979

HTML: 1097
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

3554

PDF: 1593

HTML: 2222
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

2621

PDF: 1561
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

2112

PDF: 1135

HTML: 1119
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

1482

PDF: 677

Appendix: 98

HTML: 30
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

2995

PDF: 1539
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

5920

PDF: 2083

Appendix: 543

HTML: 3239

Appendix: 193
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

3479

PDF: 1386

SUPPL. MATERIAL: 390

HTML: 1078
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

2959

PDF: 972

HTML: 68
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

1606

PDF: 474

HTML: 82
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

1572

PDF: 932
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

3013

PDF: 1226
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

2757

PDF: 1144

HTML: 185
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

3698

PDF: 1258

HTML: 1132
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

2723

PDF: 1332

HTML: 810
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

2197

PDF: 1178

HTML: 136
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

1561

PDF: 298

HTML: 71
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

1445

PDF: 400

HTML: 19
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

2327

PDF: 729

HTML: 94
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

5496

PDF: 2242
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

1675

PDF: 1235
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

1279

PDF: 777
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

2737

PDF: 1016
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

3260

PDF: 1451
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

1153

PDF: 598

HTML: 13
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

10412

PDF: 2463
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

2102

PDF: 798
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

2273

PDF: 952
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

3120

PDF: 1172

HTML: 850
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

3080

PDF: 1349

HTML: 1025
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

2915

PDF: 988

HTML: 1194
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

2028

PDF: 1291

HTML: 177
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

2458

PDF: 877

HTML: 915
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

3656

PDF: 1256

APPENDIX: 472

HTML: 1532
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

4439

PDF: 1288

HTML: 2569
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

1607

PDF: 1000
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

2956

PDF: 1204
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

1619

PDF: 993

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

3208

PDF: 1068

HTML: 1063
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

2425

PDF: 860
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

1187

PDF: 850
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

3488

PDF: 1814
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

4935

PDF: 1740
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

1242

PDF: 682
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

2094

PDF: 930
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

2449

PDF: 862
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

1842

PDF: 1072
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

1245

PDF: 742
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

3406

PDF: 1140
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

1655

PDF: 784
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

1302

PDF: 733
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

3286

PDF: 1383
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

1276

PDF: 728
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

2116

PDF: 886
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

2503

PDF: 931

HTML: 44
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

3360

PDF: 1085

HTML: 1413
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

1610

PDF: 759

HTML: 158
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

1196

PDF: 361

HTML: 54
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

2207

PDF: 867

APPENDIX: 383

HTML: 103
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

1755

PDF: 725

HTML: 56
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

792

PDF: 424

Supplementary Materials: 70

HTML: 56
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

2529

PDF: 1002

HTML: 1096
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

2305

PDF: 484

HTML: 76
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

1923

PDF: 762

HTML: 79
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

2020

PDF: 876

HTML: 886
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

388

PDF: 79

HTML: 3
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

1547

PDF: 407

HTML: 77
Preferential sampling in veterinary parasitological surveillance

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

18-04-2016

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

1957

PDF: 1436

APPENDIX: 529

HTML: 1032
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

01-11-2009

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

2575

PDF: 969
Geospatial Health: achievements, innovations, priorities

Sherif Amer, Ellen-Wien Augustijn, Carmen Anthonj, Nils Tjaden, Justine Blanford, Marc van den Homberg, Laura Rinaldi, Thomas van Rompay, Raúl Zurita Milla

25-10-2024

https://doi.org/10.4081/gh.2024.1355

1500

PDF: 471

HTML: 95
Global climate change - a feasibility perspective of its effect on human health at a local scale

Michele Bernardi

137-150

01-05-2008

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

1618

PDF: 871
Estimating malaria burden in Nigeria: a geostatistical modelling approach

Nnadozie Onyiri

04-11-2015

https://doi.org/10.4081/gh.2015.306

7013

PDF: 2846

HTML: 3245
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

01-11-2013

https://doi.org/10.4081/gh.2013.63

3131

PDF: 1188
Integrated disease mapping in a polyparasitic world

Simon Brooker, Jürg Utzinger

141-146

01-05-2007

https://doi.org/10.4081/gh.2007.262

2270

PDF: 1140
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

27-05-2024

https://doi.org/10.4081/gh.2024.1266

2069

PDF: 619

Supplementary Materials: 84

HTML: 174
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

01-05-2011

https://doi.org/10.4081/gh.2011.168

2287

PDF: 817
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

01-05-2012

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

2572

PDF: 1177
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

3555

PDF: 1156

Appendix: 162

HTML: 522
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

2968

PDF: 975

Supplementary Materials: 530

HTML: 180
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

8607

PDF: 1537
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

2429

PDF: 994
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

2360

PDF: 761
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

1227

PDF: 837
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

2250

PDF: 805
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

1776

PDF: 786
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

2061

PDF: 922

HTML: 1002
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

2144

PDF: 895

HTML: 127

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