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  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

  206

  PDF: 158

  HTML: 0
• 

  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

  2226

  PDF: 1250

  HTML: 2011
• 

  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

  2775

  PDF: 1380

  HTML: 810
• 

  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

  1239

  PDF: 642

  HTML: 13
• 

  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

  586

  PDF: 145

  HTML: 9
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  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

  1635

  PDF: 821

  HTML: 158
• 

  Estimating malaria burden in Nigeria: a geostatistical modelling approach

  Nnadozie Onyiri

  04-11-2015

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

  7067

  PDF: 2920

  HTML: 3250
• 

  Spatial autocorrelation and stratified heterogeneity in the evaluation of breast cancer risk inequity and socioeconomic factors analysis in China: Evidence from Nanchang, Jiangxi Province

  Yaqi Wang, Zhiwei Wan

  17-05-2022

  https://doi.org/10.4081/gh.2022.1078

  1480

  PDF: 809

  HTML: 119
• 

  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

  2162

  PDF: 942

  HTML: 127
• 

  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

  2326

  PDF: 1282

  HTML: 142
• 

  Immunity to poliovirus in Afghanistan: A household sampling method for serological assessment based on geographical information systems

  Amalia Mendes, Ari Whiteman, Benjamin Nygren, Brian Kaplan, Imtiaz Hussain, Sajid Soofi, Maureen Martinez, Noha H. Farag

  29-11-2022

  https://doi.org/10.4081/gh.2022.1107

  1014

  PDF: 622

  HTML: 35
• 

  Heterogeneity in a communal cattle-farming system in a zone endemic for foot and mouth disease in South Africa

  Ockert Louis van Schalkwyk, Eva M. De Clercq, Claudia De Pus, Guy Hendrickx, Peter van den Bossche, Darryn L. Knobel

  31-05-2016

  https://doi.org/10.4081/gh.2016.338

  2425

  PDF: 1215

  HTML: 1429
• 

  Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis

  Maria Camila Lesmes , Alvaro Ávila-Díaz, Erika Santamaría, Carlos Andrés Morales , Horacio Cadena, Patricia Fuya, Nicolas Frutos, Ximena Porcasi, Catalina Marceló-Díaz

  04-06-2025

  https://doi.org/10.4081/gh.2025.1292

  914

  PDF: 237

  HTML: 13

• 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

  849

  PDF: 487

  Supplementary Materials: 93

  HTML: 59
• 

  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

  4179

  PDF: 1147

  HTML: 1197
• 

  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

  4059

  PDF: 2155

  HTML: 2155

• 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

  3197

  PDF: 1225
• 

  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

  1518

  PDF: 745

  Appendix: 116

  HTML: 30
• 

  Ecological niche model of Phlebotomus perniciosus, the main vector of canine leishmaniasis in north-eastern Italy

  Manuela Signorini, Rudi Cassini, Michele Drigo, Antonio Frangipane di Regalbono, Mario Pietrobelli, Fabrizio Montarsi, Anna-Sofie Stensgaard

  193-201

  01-11-2014

  https://doi.org/10.4081/gh.2014.16

  3449

  PDF: 1493

• 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

  1870

  PDF: 1123

• 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

  2464

  PDF: 913
• 

  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

  2790

  PDF: 1221

  HTML: 187
• 

  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

  3753

  PDF: 1364

  HTML: 1132

• Geospatial analysis of invasion of the Asian tiger mosquito Aedes albopictus: competition with Aedes japonicus japonicus in its northern limit area in Japan

  Naoko Nihei, Osamu Komagata, Kan-ichiro Mochizuki, Mutsuo Kobayashi

  417-427

  01-05-2014

  https://doi.org/10.4081/gh.2014.30

  2529

  PDF: 1057

• Impact of climate change and man-made irrigation systems on the transmission risk, long-term trend and seasonality of human and animal fascioliasis in Pakistan

  Kiran Afshan, Cesar A. Fortes-Lima, Patricio Artigas, M. Adela Valero, Mazhar Qayyum, Santiago Mas-Coma

  317-334

  01-05-2014

  https://doi.org/10.4081/gh.2014.22

  26393

  PDF: 2140
• 

  Cluster analysis of fasciolosis in dairy cow herds in Munster province of Ireland and detection of major climatic and environmental predictors of the exposure risk

  Nikolaos Selemetas, Paul Phelan, Padraig O'Kiely, Theo de Waal

  271-279

  19-03-2015

  https://doi.org/10.4081/gh.2015.349

  2571

  PDF: 1227
• 

  Estimating population and livestock density of mobile pastoralists and sedentary settlements in the south-eastern Lake Chad area

  Vreni Jean-Richard, Lisa Crump, Abbani Alhadj Abicho, Ali Abba Abakar, Abdraman Mahamat II, Mahamat Bechir, Sandra Eckert, Matthias Engesser, Esther Schelling, Jakob Zinsstag

  18-05-2015

  https://doi.org/10.4081/gh.2015.307

  3914

  PDF: 1522

  HTML: 1461
• 

  MALAREO: a user-driven project

  Michael T. Gebreslasie, Ides Bauwens

  04-11-2015

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

  2656

  PDF: 1098

  HTML: 973

• 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

  2363

  PDF: 569

  HTML: 76

• 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

  2139

  PDF: 837
• 

  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

  3935

  PDF: 1656

  HTML: 1231
• 

  Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa

  Thandi Kapwata, Michael T. Gebreslasie

  16-11-2016

  https://doi.org/10.4081/gh.2016.434

  3877

  PDF: 1600

  APPENDIX 1: 429

  APPENDIX 2: 420

  HTML: 1639

• Bayesian spatial modelling and the significance of agricultural land use to scrub typhus infection in Taiwan

  Nicola A. Wardrop, Chi-Chien Kuo, Hsi-Chieh Wang, Archie C. A. Clements, Pei-Fen Lee, Peter M. Atkinson

  229-239

  01-11-2013

  https://doi.org/10.4081/gh.2013.69

  2575

  PDF: 957

• The epidemiology and small-scale spatial heterogeneity of urinary schistosomiasis in Lusaka province, Zambia

  Christopher Simoonga, Lawrence N. Kazembe, Thomas K. Kristensen, Annette Olsen, Chris C. Appleton, Patricia Mubita, Likezo Mubila

  57-67

  01-11-2008

  https://doi.org/10.4081/gh.2008.232

  2776

  PDF: 1012
• 

  Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats

  Yuanhua Liu, Jun Zhang, Michael P. Ward, Wei Tu, Lili Yu, Jin Shi, Yi Hu, Fenghua Gao, Zhiguo Cao, Zhijie Zhang

  03-07-2023

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

  1773

  PDF: 721

  Supplementary Materials: 96

  HTML: 37
• 

  Spatial distribution and sociodemographic risk factors of malaria in Nigerian children less than 5 years old

  Chigozie Louisa J. Ugwu, Temesgen Zewotir

  29-12-2020

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

  3326

  PDF: 1628

  HTML: 637
• 

  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

  4210

  PDF: 1486

  HTML: 1215

• 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

  1542

  PDF: 971

• The spatial distribution of Anopheles gambiae sensu stricto and An. arabiensis (Diptera: Culicidae) in Mali

  N. Sogoba, P. Vounatsou, M.M. Bagayoko, S. Doumbia, G. Dolo, L. Gosoniu, S.F. Traore, Y.T. Toure, T. Smith

  213-222

  01-05-2007

  https://doi.org/10.4081/gh.2007.269

  2420

  PDF: 896

• 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

  2321

  PDF: 1015

• 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

  1614

  PDF: 972

• 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

  2421

  PDF: 810

• Modeling the distribution of Culex tritaeniorhynchus to predict Japanese encephalitis distribution in the Republic of Korea

  Penny Masuoka, Terry A. Klein, Heung-Chul Kim, David M. Claborn, Nicole Achee, Richard Andre, Judith Chamberlin, Jennifer Small, Assaf Anyamba, Dong-Kyu Lee, Suk H. Yi, Michael Sardelis, Young-Ran Ju, John Grieco

  45-57

  01-11-2010

  https://doi.org/10.4081/gh.2010.186

  2963

  PDF: 1315

• 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

  3158

  PDF: 1249

• 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

  2232

  PDF: 941

• Developing operational algorithms using linear and non-linear squares estimation in Python® for the identification of Culex pipiens and Culex restuans in a mosquito abatement district (Cook County, Illinois, USA)

  Benjamin G. Jacob, Weidong Gu, Erik X. Caamano, Robert J. Novak

  157-176

  01-05-2009

  https://doi.org/10.4081/gh.2009.218

  1398

  PDF: 890

• Spatial analyses of typhoid fever in Jiangsu province, People's Republic of China

  Yue-Jia Cheng, Fen-Yang Tang, Chang-Jun Bao, Ye-Fei Zhu, Qi Liang, Jian-Li Hu, Wen-Dong Liu, Ying Wu, Kathleen H. Reilly, Tong-Qian Shen, Yang Zhao, Zhi-Hang Peng, Rong-Bin Yu, Hua Wang, Hong-Bing Shen, Feng Chen

  279-288

  01-05-2013

  https://doi.org/10.4081/gh.2013.86

  2613

  PDF: 1092
• 

  Operational satellite-based temporal modelling of Aedes population in Argentina

  Manuel Espinosa, Eliana Marina Alvarez Di Fino, Marcelo Abril, Mario Lanfri, Maria Victoria Periago, Carlos Marcelo Scavuzzo

  09-11-2018

  https://doi.org/10.4081/gh.2018.734

  1806

  PDF: 1045

  HTML: 63
• 

  Malaria risk map for India based on climate, ecology and geographical modelling

  Soma Sarkar, Poonam Singh, Mercy Aparna L. Lingala, Preeti Verma, Ramesh C. Dhiman

  06-11-2019

  https://doi.org/10.4081/gh.2019.767

  6252

  PDF: 2149

  HTML: 12245
• 

  Towards improved, cost-effective surveillance of Ixodes ricinus ticks and associated pathogens using species distribution modelling

  Manuela Signorini, Anna-Sofie Stensgaard, Michele Drigo, Giulia Simonato, Federica Marcer, Fabrizio Montarsi, Marco Martini, Rudi Cassini

  13-05-2019

  https://doi.org/10.4081/gh.2019.745

  1864

  PDF: 1142

  HTML: 44
• 

  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

  1794

  PDF: 781

  HTML: 59