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• 

  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

  3963

  PDF: 1644

  HTML: 1739

• 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

  836

  PDF: 484

  Supplementary Materials: 91

  HTML: 59
• 

  Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia

  Muhammad Aidil Roslan, Romano Ngui, Muhammad Fathi Marzuki, Indra Vythilingam, Aziz Shafie, Sabri Musa, Wan Yusoff Wan Sulaiman

  11-05-2022

  https://doi.org/10.4081/gh.2022.1025

  1510

  PDF: 652

  Annex I-VI: 119

  HTML: 60
• 

  Spatial analysis and risk mapping of Fasciola hepatica infection in dairy herds in Ireland

  Nikolaos Selemetas, Els Ducheyne, Paul Phelan, Padraig O'Kiely, Guy Hendrickx, Theo de Waal

  281-291

  19-03-2015

  https://doi.org/10.4081/gh.2015.350

  4004

  PDF: 1809

• Spatial associations between chronic kidney disease and socio-economic factors in Thailand

  Juree Sansuk, Kittipong Sornlorm

  30-01-2024

  https://doi.org/10.4081/gh.2024.1246

  6017

  PDF: 812

  HTML: 942
• 

  Spatial autocorrelation pattern of COVID-19 vaccine coverage in Thailand 2021 and 2022

  Sarayu Muntaphan, Kittipong Sornlorm

  13-05-2025

  https://doi.org/10.4081/gh.2025.1368

  900

  PDF: 179

  HTML: 45
• 

  The influence of urban heat islands and socioeconomic factors on the spatial distribution of Aedes aegypti larval habitats

  Thiago S. de Azevedo, Brian Patrick Bourke, Rafael Piovezan, Maria Anice M. Sallum

  08-05-2018

  https://doi.org/10.4081/gh.2018.623

  2710

  PDF: 1244

  HTML: 498
• 

  Projecting malaria hazard from climate change in eastern Africa using large ensembles to estimate uncertainty

  Joseph Leedale, Adrian M. Tompkins, Cyril Caminade, Anne E. Jones, Grigory Nikulin, Andrew P. Morse

  31-03-2016

  https://doi.org/10.4081/gh.2016.393

  4089

  PDF: 1636

  HTML: 2547

• Climate-based risk models for Fasciola hepatica in Colombia

  Natalia Valencia-Lòpez, John B. Malone, Catalina Gòmez Carmona, Luz E. Velásquez

  S75-S85

  01-09-2012

  https://doi.org/10.4081/gh.2012.125

  2782

  PDF: 1391

• Comparison of data-fitting models for schistosomiasis: a case study in Xingzi, China

  Yi Hu, Cheng-Long Xiong, Zhi-Jie Zhang, Robert Bergquist, Zeng-Liang Wang, Jie Gao, Rui Li, Bo Tao, Qiu-Lin Jiang, Qingwu Jiang

  125-132

  01-11-2013

  https://doi.org/10.4081/gh.2013.60

  2535

  PDF: 928

• 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

  2773

  PDF: 1011

• The power of interactive maps for communicating spatio-temporal data to health professionals

  Nils Tjaden, Felix Geeraedts, Caroline K. Kioko, Annelies Riezebos-Brilman, Nashwan al Naiemi, Justine Blanford, Nienke Beerlage-de Jong

  29-08-2024

  https://doi.org/10.4081/gh.2024.1296

  978

  PDF: 475

  HTML: 94

• 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

  8943

  PDF: 1597

• Bayesian risk maps for Schistosoma mansoni and hookworm mono-infections in a setting where both parasites co-exist

  Giovanna Raso, Penelope Vounatsou, Donald P. McManus, Jürg Utzinger

  85-96

  01-11-2007

  https://doi.org/10.4081/gh.2007.257

  2333

  PDF: 802

• The relative risk of spatial cluster occurrence and spatiotemporal evolution of meningococcal disease in Niger, 2002-2008

  Halima B. Maïnassara, Nicolas Molinari, Christophe Dematteï, Pascale Fabbro-Peray

  93-101

  01-11-2010

  https://doi.org/10.4081/gh.2010.190

  1214

  PDF: 877

• Identifying areas of Australia at risk for H5N1 avian influenza infection from exposure to nomadic waterfowl moving throughout the Australo-Papuan region

  Iain J. East, Samuel A. Hamilton, Louise A. Sharp, Michael G. Garner

  17-27

  01-11-2008

  https://doi.org/10.4081/gh.2008.228

  1471

  PDF: 1526
• 

  Application of global positioning system methods for the study of obesity and hypertension risk among low-income housing residents in New York City: a spatial feasibility study

  Dustin T. Duncan, Seann D. Regan, Donna Shelley, Kristen Day, Ryan R. Ruff, Maliyhah Al-Bayan, Brian Elbel

  57-70

  01-11-2014

  https://doi.org/10.4081/gh.2014.6

  2536

  PDF: 1390
• 

  COVID-19 vaccine prioritization based on district classification in Yogyakarta Province, Indonesia

  Syifa Hanifa, Diana Puspitasari, Cahyadi Ramadhan, Karina Oriza Herastuti

  14-01-2022

  https://doi.org/10.4081/gh.2022.1010

  2389

  PDF: 501

  HTML: 41

• Evaluation of the spatial patterns and risk factors, including backyard pigs, for classical swine fever occurrence in Bulgaria using a Bayesian model

  Beatriz Martínez-Lòpez, Tsviatko Alexandrov, Lina Mur, Fernando Sánchez-Vizcaíno, José M. Sánchez-Vizcaíno

  489-501

  01-05-2014

  https://doi.org/10.4081/gh.2014.38

  2042

  PDF: 1099

• 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

  1828

  PDF: 831
• 

  Child mortality inequalities across Rwanda districts: a geoadditive continuous-time survival analysis

  François Niragire, Thomas N.O. Achia, Alexandre Lyambabaje, Joseph Ntaganira

  11-05-2017

  https://doi.org/10.4081/gh.2017.450

  2916

  PDF: 1544

  HTML: 1380
• 

  Spatial analysis of the regional variation of hypertensive disease mortality and its socio-economic correlates in South Korea

  Seong-Yong Park, Jin-Mi Kwak, Eun-Won Seo, Kwang-Soo Lee

  31-05-2016

  https://doi.org/10.4081/gh.2016.420

  2845

  PDF: 1610

  HTML: 1366

• Spatial scale effects in environmental risk-factor modelling for diseases

  Ram K. Raghavan, Karen M. Brenner, John A. Jr. Harrington, James J. Higgins, Kenneth R. Harkin

  169-182

  01-05-2013

  https://doi.org/10.4081/gh.2013.78

  1864

  PDF: 1120
• 

  Elimination of malaria due to Plasmodium vivax in central part of the People's Republic of China: analysis and prediction based on modelling

  Zhao Chen, Liang Shi, Xiao-Nong Zhou, Zhi-Gui Xia, Robert Bergquist, Qing-Wu Jiang

  169-177

  01-11-2014

  https://doi.org/10.4081/gh.2014.14

  3439

  PDF: 1070
• 

  A spatiotemporal analysis of the social determinants of health for COVID-19

  Claire Bonzani, Peter Scull, Daisaku Yamamoto

  25-05-2023

  https://doi.org/10.4081/gh.2023.1153

  1598

  PDF: 772

  HTML: 21
• 

  Spatial and spatiotemporal dynamics of visceral leishmaniasis in an endemic North-eastern region of Brazil

  Ândria Silveira Almeida, Caíque Jordan Nunes Ribeiro, Camila Caroline Carlini, Rogério Silva Santos, Allan Dantas dos Santos, Débora Santos Tavares, Karina Conceição Gomes Machado de Araújo, Tatiana Rodrigues de Moura, Priscila Lima dos Santos

  11-01-2021

  https://doi.org/10.4081/gh.2020.885

  1692

  PDF: 818

  HTML: 35

• Spatial analysis of bluetongue cases and vaccination of Swiss cattle in 2008 and 2009

  Katriina J. E. Willgert, Birgit Schroedle, Heinzpeter Schwermer

  227-237

  01-05-2011

  https://doi.org/10.4081/gh.2011.175

  1224

  PDF: 873
• 

  Spatial analysis of stunting determinants in 514 Indonesian districts/cities: Implications for intervention and setting of priority

  Tris Eryando, Tiopan Sipahutar, Meiwita Paulina Budhiharsana, Kemal N. Siregar, Muhammad Nur Aidi, Dr. Minarto, Diah Mulyawati Utari, Martya Rahmaniati, Harimat Hendarwan

  17-05-2022

  https://doi.org/10.4081/gh.2022.1055

  3131

  PDF: 1839

  HTML: 93
• 

  Local landscape effects on population dynamics of Ixodes ricinus

  Naveed Asghar, Mona Petersson, Magnus Johansson, Patrik Dinnetz

  21-11-2016

  https://doi.org/10.4081/gh.2016.487

  3154

  PDF: 1236

  HTML: 833
• 

  The geo-spatial perspective of biological, social and environmental determinants of early pregnancy anaemia in rural Sri Lanka: Need for context-specific approaches on prevention

  Gayani Shashikala Amarasinghe, Thilini Chanchala Agampodi, Vasana Mendis, Suneth Buddhika Agampodi

  29-11-2022

  https://doi.org/10.4081/gh.2022.1110

  1247

  PDF: 747

  HTML: 29

• Spatial distribution of Biomphalaria spp., the intermediate host snails of Schistosoma mansoni, in Brazil

  Ronaldo G.C. Scholte, Omar S. Carvalho, John B. Malone, Jürg Utzinger, Penelope Vounatsou

  S95-S101

  01-09-2012

  https://doi.org/10.4081/gh.2012.127

  4872

  PDF: 2040
• 

  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

  3161

  PDF: 1216

  HTML: 850

• Application of Bayesian geostatistical modeling for the assessment of risk for child mortality during the 2008 earthquake in Wenchuan, People's Republic of China

  Yi Hu, Jin-Feng Wang, Xiao-Hong Li, Dan Ren, Dez-Hi Mu, Yan-Ping Wang, Chun-Mei Wen, Jun Zhu, Juan Liang

  247-255

  01-05-2012

  https://doi.org/10.4081/gh.2012.142

  1458

  PDF: 750

• Application of a geographical information system approach for risk analysis of fascioliasis in southern Espírito Santo state, Brazil

  Isabella Vilhena Freire Martins, Barbara Rauta de Avelar, Maria Julia Salim Pereira, Adevair Henrique da Fonseca

  S87-S93

  01-09-2012

  https://doi.org/10.4081/gh.2012.126

  1855

  PDF: 996
• 

  Spatial analysis of antimicrobial resistance in the environment. A systematic review

  Patrick Spets, Karin Ebert, Patrik Dinnétz

  25-05-2023

  https://doi.org/10.4081/gh.2023.1168

  2367

  PDF: 788

  Supplementary Materials: 177

  HTML: 58

• Advanced analysis of depression tendency in China: an investigation of environmental and social factors based on geographical and temporal weighted regression

  Yanhong Xu, Zhilin Hong, Huimei Lin, Xiaofeng Huang

  21-07-2025

  https://doi.org/10.4081/gh.2025.1385

  138

  PDF: 59

  HTML: 0
• 

  Spatio-temporal cluster detection of chickenpox in Valencia, Spain in the period 2008-2012

  Adina Iftimi, Francisco Martínez-Ruiz, Ana Míguez Santiyán, Francisco Montes

  18-05-2015

  https://doi.org/10.4081/gh.2015.341

  2877

  PDF: 1262

  HTML: 1194

• Analysing the spatial patterns of livestock anthrax in Kazakhstan in relation to environmental factors: a comparison of local (Gi*) and morphology cluster statistics

  Ian T. Kracalik, Jason K. Blackburn, Larisa Lukhnova, Yerlan Pazilov, Martin E. Hugh-Jones, Alim Aikimbayev

  111-126

  01-11-2012

  https://doi.org/10.4081/gh.2012.110

  2431

  PDF: 1074
• 

  Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran

  Marjan Zare, Ali Semati, Alireza Mirahmadizadeh, Abdulrasool Hemmati, Mostafa Ebrahimi

  08-06-2022

  https://doi.org/10.4081/gh.2022.1065

  794

  PDF: 374

  HTML: 19
• 

  Spatio-temporal analysis of foot traffic dynamics in Charleston County, South Carolina: before, during, and after COVID-19

  Wish Shao, Abolfazl Mollalo, Navid Hashemi Tonekaboni

  23-06-2025

  https://doi.org/10.4081/gh.2025.1363

  392

  PDF: 158

  HTML: 10
• 

  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

  3047

  PDF: 1028

  HTML: 68
• 

  Spatial association between socio-economic health service factors and sepsis mortality in Thailand

  Juree Sansuk, Wongsa Laohasiriwong, Kittipong Sornlorm

  13-09-2023

  https://doi.org/10.4081/gh.2023.1215

  1345

  PDF: 523

  HTML: 31

• Healthcare-seeking behavior and spatial variation of internal migrants with chronic diseases: a nationwide empirical study in China

  Dan Li, Dawei Gao, Masaaki Yamada, Chuangbin Chen, Liuchun Xiang, Haisong Nie

  28-05-2024

  https://doi.org/10.4081/gh.2024.1255

  2295

  PDF: 577

  HTML: 54
• 

  Metropolitan urban hotspots of chronic sleep deprivation: evidence from a community health survey in Gyeongbuk Province, South Korea

  Sun-Bi Um, Jung-Sup Um

  04-11-2015

  https://doi.org/10.4081/gh.2015.382

  2964

  PDF: 1277

  HTML: 1016
• 

  A geographical information system model to define COVID-19 problem areas with an analysis in the socio-economic context at the regional scale in the North of Spain

  Olga De Cos, Valentín Castillo-Salcines, David Cantarero-Prieto

  18-03-2022

  https://doi.org/10.4081/gh.2022.1067

  1479

  PDF: 460

  HTML: 35
• 

  Spatio-temporal analysis and visualisation of the anthrax epidemic situation in livestock in Kazakhstan over the period 1933-2016

  Sarsenbay K. Abdrakhmanov, Yersyn Y. Mukhanbetkaliyev, Fedor I. Korennoy, Bolat Sh. Karatayev, Aizada A. Mukhanbetkaliyeva, Aruzhan S. Abdrakhmanova

  13-11-2017

  https://doi.org/10.4081/gh.2017.589

  3538

  PDF: 1113

  HTML: 913
• 

  Understanding COVID-19: comparison of spatio-temporal analysis methods used to study epidemic spread patterns in the United States

  Chunhui Liu, Xiaodi Su, Zhaoxuan Dong, Xingyu Liu, Chunxia Qiu

  25-05-2023

  https://doi.org/10.4081/gh.2023.1200

  1059

  PDF: 577

  HTML: 53
• 

  Geographic distribution of canine heartworm (Dirofilaria immitis) infection in stray dogs of eastern Romania

  Lavinia Ciucă, Vincenzo Musella, Liviu D. Miron, Maria Paola Maurelli, Giuseppe Cringoli, Antonio Bosco, Laura Rinaldi

  21-11-2016

  https://doi.org/10.4081/gh.2016.499

  4202

  PDF: 1534

  HTML: 2249
• 

  The spatio-temporal distribution of Oncomelania hupensis along Yangtze river in Jiangsu Province, China after implementation of a new, integrated schistosomiasis control strategy

  Jian He, Wei Li, Robert Bergquist, Jian-Feng Zhang, Liang Shi, Song Zhao, Feng Wu, Kun Yang

  29-11-2016

  https://doi.org/10.4081/gh.2016.480

  2966

  PDF: 885

  HTML: 890
• 

  Assessing effects of structural zeros on models of canine cancer incidence: a case study of the Swiss Canine Cancer Registry

  Gianluca Boo, Stefan Leyk, Sara Irina Fabrikant, Andreas Pospischil, Ramona Graf

  11-05-2017

  https://doi.org/10.4081/gh.2017.539

  3279

  PDF: 1075

  HTML: 817

• Diluting the dilution effect: a spatial Lyme model provides evidence for the importance of habitat fragmentation with regard to the risk of infection

  Agustín Estrada-Peña

  143-155

  01-05-2009

  https://doi.org/10.4081/gh.2009.217

  1793

  PDF: 914

• 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

  26387

  PDF: 2137
• 

  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

  1512

  PDF: 742

  Appendix: 116

  HTML: 30

• Application of spatio-temporal scan statistics for the detection of areas with increased risk for American visceral leishmaniasis in the state of Bahia, Brazil

  Deborah D.M.T. Carneiro, Maria E. Bavia, Washington J.S.F. Rocha, Antônio C.Q. Tavares, Luciana L. Cardim, Biruk Alemayehu

  113-126

  01-11-2007

  https://doi.org/10.4081/gh.2007.260

  1386

  PDF: 890

• Mapping brucellosis risk in communities in the Republic of Armenia

  Thibaud Porphyre, Ronald Jackson, Carola Sauter-Louis, David Ward, Grigor Baghyan, Edik Stepanyan

  103-118

  01-11-2010

  https://doi.org/10.4081/gh.2010.191

  1781

  PDF: 1007
• 

  Colorectal cancer risk factors in north-eastern Iran: A retrospective cross-sectional study based on geographical information systems, spatial autocorrelation and regression analysis

  Ladan Goshayeshi, Ali Pourahmadi, Majid Ghayour-Mobarhan, Soheil Hashtarkhani, Sajad Karimian, Reza Shahhosein Dastjerdi, Babak Eghbali, Efat Seyfi, Behzad Kiani

  06-11-2019

  https://doi.org/10.4081/gh.2019.793

  3976

  PDF: 1461

  HTML: 58

• 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

  2572

  PDF: 956
• 

  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

  2788

  PDF: 1215

  HTML: 186
• 

  COVID-19: Past, present and future

  Robert Bergquist

  09-09-2022

  https://doi.org/10.4081/gh.2022.1147

  797

  PDF: 418

  HTML: 101
• 

  Modelling recent and future climatic suitability for fasciolosis in Europe

  Cyril Caminade, Jan van Dijk, Matthew Baylis, Diana Williams

  301-308

  19-03-2015

  https://doi.org/10.4081/gh.2015.352

  4035

  PDF: 1547

• Risk assessment for canine leishmaniasis spreading in the north of Italy

  Giulia Morosetti, Gioia Bongiorno, Bernadett Beran, Aldo Scalone, Judith Moser, Marina Gramiccia, Luigi Gradoni, Michele Maroli

  115-127

  01-11-2009

  https://doi.org/10.4081/gh.2009.214

  2475

  PDF: 777

• 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

  5061

  PDF: 1851

• Climate change and the potential global distribution of Aedes aegypti: spatial modelling using geographical information system and CLIMEX

  Hassan M. Khormi, Lalit Kumar

  405-415

  01-05-2014

  https://doi.org/10.4081/gh.2014.29

  9081

  PDF: 4500
• 

  Exploring geomasking methods for geoprivacy: a pilot study in an environment with built features

  Alok Tiwari, Sohail Ahmad, Emad Qurunflah, Mansour Helmi, Ayad Almaimani, Alaa Alaidroos, Majed Mustafa Hallawani

  17-10-2023

  https://doi.org/10.4081/gh.2023.1205

  942

  PDF: 517

  HTML: 145
• 

  Spatio-temporal distribution characteristics of cysticercosis from 2000 to 2014 in Dali, Yunnan province, China.

  Huanzhang Li, Xinzhong Zang, Xiaokang Hu, Eniola Michael Abe, Menbao Qian, Jingbo Xue, Yingdan Chen, Changhai Zhou, Yuhua Liu, Shizhu Li

  29-12-2020

  https://doi.org/10.4081/gh.2020.815

  1216

  HTML: 39

  PDF: 543
• 

  Space-time cluster analysis of anemia in pregnant women in the province of Khyber Pakhtunkhwa, Pakistan (2014-2020)

  Sami Ullah, SM Aqil Burney, Tariq Rasheed, Shamaila Burney, Mushtaq Ahmad Khan Barakzia

  05-10-2023

  https://doi.org/10.4081/gh.2023.1192

  1013

  PDF: 597

  HTML: 21

• Early detection of tick-borne encephalitis virus spatial distribution and activity in the province of Trento, northern Italy

  Annapaola Rizzoli, Markus Neteler, Roberto Rosá, Walter Versini, Antonio Cristofolini, Marco Bregoli, Alan Buckley, Ernest A. Gould

  169-176

  01-05-2007

  https://doi.org/10.4081/gh.2007.265

  3012

  PDF: 994

• A spatial analysis of mental retardation of unknown cause and maternal residence during pregnancy

  Huiling Zhen, Andrew B. Lawson, Suzanne McDermott, Archana Pande Lamichhane, Marjorie Aelion

  173-182

  01-05-2008

  https://doi.org/10.4081/gh.2008.241

  1242

  PDF: 689
• 

  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

  2566

  PDF: 1226

• Temperature-derived potential for the establishment of phlebotomine sandflies and visceral leishmaniasis in Germany

  Dominik Fischer, Stephanie M. Thomas, Carl Beierkuhnlein

  59-69

  01-11-2010

  https://doi.org/10.4081/gh.2010.187

  2383

  PDF: 1130

• Fine-scale mapping of vector habitats using very high resolution satellite imagery: a liver fluke case-study

  Els De Roeck, Frieke Van Coillie, Robert De Wulf, Karen Soenen, Johannes Charlier, Jozef Vercruysse, Wouter Hantson, Els Ducheyne, Guy Hendrickx

  S671-S683

  01-12-2014

  https://doi.org/10.4081/gh.2014.296

  3462

  PDF: 2461

• Soil-transmitted helminthiasis in Latin America and the Caribbean: modelling the determinants, prevalence, population at risk and costs of control at sub-national level

  Josh Colston, Martha Saboyá

  321-340

  01-05-2013

  https://doi.org/10.4081/gh.2013.90

  2539

  PDF: 1298

• 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

  3157

  PDF: 1247
• 

  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

  2245

  PDF: 916

  APPENDIX: 403

  HTML: 104

• 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

  2316

  PDF: 1007

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

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