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The basic reproduction quotient (Q0) as a potential spatial predictor of the seasonality of ovine haemonchosis

Muhammad-Bashir Bolajoko, Hannah Rose, Vincenzo Musella, Antonio Bosco, Laura Rinaldi, Jan van Dijk, Giuseppe Cringoli, Eric R. Morgan

333-350

19-03-2015

https://doi.org/10.4081/gh.2015.356

2582

PDF: 1618
Spatial comparison of areas at risk for schistosomiasis in the hilly and mountainous regions in the People's Republic of China: evaluation of the long-term effect of the 10-year World Bank Loan Project

Zhi-Jie Zhang, Rong Zhu, N. Robert Bergquist, Dong-Mei Chen, Yue Chen, Li-Juan Zhang, Jia-Gang Guo, Fei Zhao, Qing-Wu Jiang

205-214

01-05-2012

https://doi.org/10.4081/gh.2012.138

1799

PDF: 1194
Geospatial epidemiology of coronary artery disease treated with percutaneous coronary intervention in Crete, Greece

Evangelos Melidoniotis, Kleomenis Kalogeropoulos, Andreas Tsatsaris, Michail Zografakis-Sfakianakis, George Lazopoulos, Nikolaos Tzanakis, Ioannis Anastasiou, Emmanouil Skalidis

16-05-2024

https://doi.org/10.4081/gh.2024.1251

2584

PDF: 738

HTML: 62
Bayesian spatio-temporal modelling of tobacco-related cancer mortality in Switzerland

Verena Jürgens, Silvia Ess, Harish C. Phuleria, Martin Früh, Matthias Schwenkglenks, Harald Frick, Thomas Cerny, Penelope Vounatsou

219-236

01-05-2013

https://doi.org/10.4081/gh.2013.82

3634

PDF: 1507
Characterising the spatial dynamics of sympatric Aedes aegypti and Aedes albopictus populations in the Philippines

Jennifer Duncombe, Fe Espino, Kristian Marollano, Aldwin Velazco, Scott A. Ritchie, Wenbiao Hu, Philip Weinstein, Archie C. A. Clements

255-265

01-11-2013

https://doi.org/10.4081/gh.2013.71

3379

PDF: 1912
Urban agriculture and Anopheles habitats in Dar es Salaam, Tanzania

Stefan Dongus, Dickson Nyika, Khadija Kannady, Deo Mtasiwa, Hassan Mshinda, Laura Gosoniu, Axel W. Drescher, Ulrike Fillinger, Marcel Tanner, Gerry F. Killeen, Marcia C. Castro

189-210

01-05-2009

https://doi.org/10.4081/gh.2009.220

4697

PDF: 1552
Temporal and spatial analyses of colorectal cancer incidence in Yogyakarta, Indonesia: a cross-sectional study

Juan Adrian Wiranata, Herindita Puspitaningtyas, Susanna Hilda Hutajulu, Jajah Fachiroh, Nungki Anggorowati, Guardian Yoki Sanjaya, Lutfan Lazuardi, Patumrat Sripan

25-05-2023

https://doi.org/10.4081/gh.2023.1186

2114

PDF: 1164

HTML: 68
Multiple testing in disease mapping and descriptive epidemiology

Dolores Catelan, Annibale Biggeri

219-229

01-05-2010

https://doi.org/10.4081/gh.2010.202

1752

PDF: 1063
Spatiotemporal distribution and geostatistically interpolated mapping of the melioidosis risk in an endemic zone in Thailand

Jaruwan Wongbutdee, Jutharat Jittimanee, Wacharapong Saengnill

05-07-2023

https://doi.org/10.4081/gh.2023.1189

1931

PDF: 993

HTML: 71
Haemonchus contortus: spatial risk distribution for infection in sheep in Europe

Laura Rinaldi, Dolores Catelan, Vincenzo Musella, Lorenzo Cecconi, Hubertus Hertzberg, Paul R. Torgerson, Fabien Mavrot, Theo de Waal, Nikolaos Selemetas, Tom Coll, Antonio Bosco, Annibale Biggeri, Giuseppe Cringoli

325-331

19-03-2015

https://doi.org/10.4081/gh.2015.355

5014

PDF: 2280
A scoping review of spatial cluster analysis techniques for point-event data

Charles E. Fritz, Nadine Schuurman, Colin Robertson, Scott Lear

183-198

01-05-2013

https://doi.org/10.4081/gh.2013.79

7930

PDF: 3947
Virtual globes and geospatial health: the potential of new tools in the management and control of vector-borne diseases

Anna-Sofie Stensgaard, Christopher F.L. Saarnak, Jürg Utzinger, Penelope Vounatsou, Christopher Simoonga, Gabriel Mushinge, Carsten Rahbek, Flemming MÃ¸hlenberg, Thomas K. Kristensen

127-141

01-05-2009

https://doi.org/10.4081/gh.2009.216

2454

PDF: 1888
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

2758

PDF: 939
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

2169

PDF: 939

Supplementary Materials: 168

HTML: 66
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

2398

PDF: 1169

HTML: 916
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

6307

PDF: 2425
Sheep and Fasciola hepatica in Europe: the GLOWORM experience

Laura Rinaldi, Annibale Biggeri, Vincenzo Musella, Theo de Waal, Hubertus Hertzberg, Fabien Mavrot, Paul R. Torgerson, Nikolaos Selemetas, Tom Coll, Antonio Bosco, Laura Grisotto, Giuseppe Cringoli, Dolores Catelan

309-317

19-03-2015

https://doi.org/10.4081/gh.2015.353

5093

PDF: 2525
Transmissibility of the highly pathogenic avian influenza virus, subtype H5N1 in domestic poultry: a spatio-temporal estimation at the global scale

Zhijie Zhang, Dongmei Chen, Michael P. Ward, Qingwu Jiang

135-143

01-11-2012

https://doi.org/10.4081/gh.2012.112

1713

PDF: 1024
Industrial pollution and mortality from digestive cancers at the small area level in a Spanish industrialized province

Vanessa Santos-Sanchez, Juan Antonio Còrdoba-Doña, Javier García-Pérez, Antonio Escolar-Pujolar, Lucia Pozzi, Rebeca Ramis

19-06-2020

https://doi.org/10.4081/gh.2020.802

1408

PDF: 906

Appendix: 264

HTML: 71
Identifying areas of Australia at risk of H5N1 avian influenza infection from exposure to migratory birds: a spatial analysis

Iain J. East, Samuel Hamilton, Graeme Garner

203-213

01-05-2008

https://doi.org/10.4081/gh.2008.244

2110

PDF: 1256
A statistical approach to rank multiple priorities in Environmental Epidemiology: an example from high-risk areas in Sardinia, Italy

Dolores Catelan, Annibale Biggeri

81-89

01-11-2008

https://doi.org/10.4081/gh.2008.234

1593

PDF: 856
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

2976

PDF: 966

HTML: 94
Mapping, cluster detection and evaluation of risk factors of ovine toxoplasmosis in Southern Italy

Roberto Condoleo, Vincenzo Musella, Maria Paola Maurelli, Antonio Bosco, Giuseppe Cringoli, Laura Rinaldi

31-05-2016

https://doi.org/10.4081/gh.2016.432

2753

PDF: 1299

HTML: 1237
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

1566

PDF: 823
Mapping and predicting malaria transmission in the People's Republic of China, using integrated biology-driven and statistical models

Guo-Jing Yang, Qi Gao, Shui-Sen Zhou, John B. Malone, Jennifer C. McCarroll, Marcel Tanner, Penelope Vounatsou, Robert Bergquist, Jürg Utzinger, Xiao-Nong Zhou

11-22

01-11-2010

https://doi.org/10.4081/gh.2010.183

3476

PDF: 1766
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

3326

PDF: 1173
Associations between rocky mountain spotted fever and veterinary care access, climatic factors and landscape in the State of Arizona, USA

Yan Lin, Al Ekram Elahee Hridoy , Meifang Li, Zhe Wang, Li Luo, Xiaogang Ma, Zhuoming Liu, Murphy John, Chao Fan, Irene Ruberto, Xi Gong, Xun Shi

17-07-2025

https://doi.org/10.4081/gh.2025.1390

1128

PDF: 818

Supplementary Materials: 117

HTML: 114
Examination of multidimensional geographic mobility and sexual behaviour among Black cisgender sexually minoritized men in Chicago

Aleya Khalifa, Byoungjun Kim, Seann Regan, Tyrone Moline, Basile Chaix, Yen-Tyng Chen, John Schneider, Dustin T. Duncan

16-05-2024

https://doi.org/10.4081/gh.2024.1273

1839

PDF: 903

HTML: 71
Physical inactivity displays a mediator role in the association of diabetes and poverty: A spatiotemporal analysis

Lung-Chang Chien, Xiao Li, Amanda Staudt

03-11-2017

https://doi.org/10.4081/gh.2017.528

3022

PDF: 1036

HTML: 807
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

3682

PDF: 1213

HTML: 831
Spatiality in small area estimation: A new structure with a simulation study

Yadollah Mehrabi, Amir Kavousi, Ahmad-Reza Baghestani, Mojtaba Soltani-Kermanshahi

29-12-2020

https://doi.org/10.4081/gh.2020.872

1329

PDF: 635

Supplementary materials: 199

HTML: 29
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

828

PDF: 392

HTML: 11
A spatio-temporal study of state-wide case-fatality risks during the first wave of the COVID-19 pandemic in Mexico

Ricardo Ramìrez-Aldana , Juan Carlos Gomez-Verjan, Omar Yaxmehen Bello-Chavolla , Lizbeth Naranjo

24-03-2022

https://doi.org/10.4081/gh.2022.1054

1678

PDF: 518

Appendix: 268

HTML: 46
Spatial statistical analysis of Coronavirus Disease 2019 (Covid-19) in China

Huling Li, Hui Li, Zhongxing Ding, Zhibin Hu, Feng Chen, Kai Wang, Zhihang Peng, Hongbing Shen

15-06-2020

https://doi.org/10.4081/gh.2020.867

7330

PDF: 3186

HTML: 100
CutL: an alternative to Kulldorff's scan statistics for cluster detection with a specified cut-off level

Barbara WiÄ™ckowska, Justyna Marcinkowska

06-11-2017

https://doi.org/10.4081/gh.2017.556

2483

PDF: 796

HTML: 903
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: 1237

HTML: 1137
Investigation of landscape risk factors for the recent spread of varroa mite (Varroa destructor) in European honeybee (Apis mellifera) colonies in New South Wales, Australia

Emily Phaboutdy, Michael Ward

04-07-2024

https://doi.org/10.4081/gh.2024.1282

2508

PDF: 789

HTML: 39
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

1856

PDF: 816

HTML: 80
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

4093

PDF: 1565

HTML: 198
Spatial and spatio-temporal analysis of malaria in the state of Acre, western Amazon, Brazil

Leonardo Augusto Kohara Melchior, Francisco Chiaravalloti Neto

16-11-2016

https://doi.org/10.4081/gh.2016.443

4296

PDF: 2012

HTML: 1408
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

4058

PDF: 1808
An analysis of the process and results of manual geocode correction

Yolanda J. McDonald, Michael Schwind, Daniel W. Goldberg, Amanda Lampley, Cosette M. Wheeler

11-05-2017

https://doi.org/10.4081/gh.2017.526

2531

PDF: 1055

HTML: 988
Geographic distribution of canine heartworm (Dirofilaria immitis) infection in stray dogs of eastern Romania

Lavinia CiucÄƒ, 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

5104

PDF: 1789

HTML: 2285
Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old

André Oliveira, Antònio J.R. Cabral, Jorge M. Mendes, Maria R.O. Martins, Pedro Cabral

04-11-2015

https://doi.org/10.4081/gh.2015.365

3386

PDF: 1472

HTML: 1230
Geocoding precision of birth records from 2008 to 2017 in Kentucky, USA

Courtney J. Walker, Steven R. Browning, Jeffrey E. Levy, W. Jay Christian

06-05-2022

https://doi.org/10.4081/gh.2022.1020

1571

PDF: 806

HTML: 18
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

4142

PDF: 1593

HTML: 1150
Optimizing mobile mammography deployment in Oklahoma 2024: a two-step floating catchment area approach

Janis E. Campbell, Amanda Janitz, Ayesha B. Sambo, Nubwa St. James, Stephanie F. Pharr, Mark P. Doescher

21-04-2026

https://doi.org/10.4081/gh.2026.1426

364

PDF: 230

Supplementary materials: 37

HTML: 6
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: 997

HTML: 99
Spatial and temporal clustering analysis of pulmonary tuberculosis and its associated risk factors in southwest China

Jianjiao Wang, Xiaoning Liu, Zhengchao Jing, Jiawai Yang

25-05-2023

https://doi.org/10.4081/gh.2023.1169

1266

PDF: 913

HTML: 41
Spatiotemporal transmission and socio-climatic factors related to paediatric tuberculosis in north-western Ethiopia

Kefyalew Addis Alene, Kerri Viney, Emma S. McBryde, Archie C.A. Clements

27-11-2017

https://doi.org/10.4081/gh.2017.575

3984

PDF: 1317

APPENDIX: 458

HTML: 869
To what extent does climate explain variations in reported malaria cases in early 20th century Uganda?

Adrian M. Tompkins, Laragh Larsen, Nicky McCreesh, David Taylor

31-03-2016

https://doi.org/10.4081/gh.2016.407

4852

PDF: 1349

Appendix: 577

HTML: 1234
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
Are clusters of mental retardation correlated with clusters of developmental delay?

Huiling Zhen, Suzanne McDermott, Andrew B. Lawson, C. Marjorie Aelion

17-26

01-11-2009

https://doi.org/10.4081/gh.2009.207

1532

PDF: 786
Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019–2021

Farrah Fahdhienie, Frans Yosep Sitepu, Elpiani Br Depari

03-09-2024

https://doi.org/10.4081/gh.2024.1318

1963

PDF: 877

HTML: 113
Geospatial (s)tools: integration of advanced epidemiological sampling and novel diagnostics

Giuseppe Cringoli, Laura Rinaldi, Marco Albonico, Robert Bergquist, Jürg Utzinger

399-404

01-05-2013

https://doi.org/10.4081/gh.2013.97

4776

PDF: 1721
Geo-referencing livestock farms as tool for studying cystic echinococcosis epidemiology in cattle and water buffaloes from southern Italy

Giuseppe Cringoli, Laura Rinaldi, Vincenzo Musella, Vincenzo Veneziano, Maria Paola Maurelli, Francesco Di Pietro, Michele Frisiello, Salvatore Di Pietro

105-111

01-11-2007

https://doi.org/10.4081/gh.2007.259

2712

PDF: 1114
Spatial analysis for the epidemiological study of cardiovascular diseases: A systematic literature search

Carlos Mena, Cesar Sepúlveda, Eduardo Fuentes, Yony Ormazábal, Iván Palomo

07-05-2018

https://doi.org/10.4081/gh.2018.587

5617

PDF: 2747

HTML: 814
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

2441

PDF: 1317
The effects of the Health Insurance Portability and Accountability Act privacy rule on influenza research using geographical information systems

Norisse Tellman, Eric R. Litt, Caprice Knapp, Aaron Eagan, Jing Cheng, Lewis J. Jr Radonovich

3-9

01-11-2010

https://doi.org/10.4081/gh.2010.182

2472

PDF: 1023
Spatial distribution of soil-transmitted helminths, including Strongyloides stercoralis, among children in Zanzibar

Stefanie Knopp, Khalfan A. Mohammed, I. Simba Khamis, Ali F. Mgeni, J. Russell Stothard, David Rollinson, Hanspeter Marti, Jürg Utzinger

47-56

01-11-2008

https://doi.org/10.4081/gh.2008.231

3630

PDF: 1469
Geographic disparities of asthma prevalence in south-western United States of America

Lung-Chang Chien, Hasanat Alamgir

97-108

01-11-2014

https://doi.org/10.4081/gh.2014.8

3079

PDF: 2111
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

2400

PDF: 1107
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

1071

PDF: 474

Supplementary materials: 90

HTML: 20
Measuring neighborhood deprivation for childhood health and development - scale implications in rural and urban context

Alexandra Ursache, Seann Regan, Allison De Marco, Dustin T. Duncan, The Family Life Project Key Investigators

11-03-2021

https://doi.org/10.4081/gh.2021.926

2950

PDF: 1110

HTML: 70
Addressing operational challenges of combatting malaria in a remote forest area of Vietnam using spatial decision support system approaches

Thang Duc Ngo, Sara E. Canavati, Ha Son Dinh, Thinh Duc Ngo, Duong T. Tran, Nicholas J. Martin, Gerard C. Kelly

06-11-2019

https://doi.org/10.4081/gh.2019.770

2105

PDF: 936

APPENDIX: 318

HTML: 94
Assessing bias associated with geocoding of historical residence in epidemiology research

Daikwon Han, Matthew R. Bonner, Jing Nie, Jo L. Freudenheim

369-374

01-05-2013

https://doi.org/10.4081/gh.2013.93

2218

PDF: 1251
Multivariate spatially-structured variability of ovine helminth infections

Annibale Biggeri, Dolores Catelan, Emanuela Dreassi, Laura Rinaldi, Vincenzo Musella, Vincenzo Veneziano, Giuseppe Cringoli

97-104

01-11-2007

https://doi.org/10.4081/gh.2007.258

1503

PDF: 870
Spatial-temporal risk factors in the occurrence of rabies in Mexico

Reyna Ortega-Sánchez, Isabel Bárcenas-Reyes, Jesús Luna-Cozar, Edith Rojas-Anaya, José Quintín Cuador-Gil, Germinal Jorge Cantó-Alarcón, Nerina Veyna-Salazar, Sara González-Ruiz, Feliciano Milián-Suazo

30-01-2024

https://doi.org/10.4081/gh.2024.1245

4886

PDF: 1473

HTML: 1120
Environmental determinants of Opisthorchis viverrini prevalence in northeast Thailand

Yi-Chen Wang, Chen-Chieh Feng, Paiboon Sithithaworn

111-123

01-11-2013

https://doi.org/10.4081/gh.2013.59

2849

PDF: 1350
Spatial analysis of Neospora caninum distribution in dairy cattle from Sweden

Jenny Frössling, Ane NÃ¸dtvedt, Ann Lindberg, Camilla Björkman

39-45

01-11-2008

https://doi.org/10.4081/gh.2008.230

1748

PDF: 935
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

2011

PDF: 1106
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: 1335

Video: 0
Balancing geo-privacy and spatial patterns in epidemiological studies

Chien-Chou Chen, Jen-Hsiang Chuang, Da-Wei Wang, Chien-Min Wang, Bo-Cheng Lin, Ta-Chien Chan

08-11-2017

https://doi.org/10.4081/gh.2017.573

4166

PDF: 1328

APPENDIX: 563

HTML: 963
Potential for spread of the white-nose fungus (Pseudogymnoascus destructans) in the Americas: use of Maxent and NicheA to assure strict model transference

Luis E. Escobar, Andrés Lira-Noriega, Gonzalo Medina-Vogel, A. Townsend Peterson

221-229

01-11-2014

https://doi.org/10.4081/gh.2014.19

10748

PDF: 3577
Response to Comments on Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis by Tipayamongkholgul and Lisakulruk

Mathuros Tipayamongkholgul, Sunisa Lisakulruk

4

01-11-2011

https://doi.org/10.4081/gh.2011.151

1053

PDF: 778
Spatial heterogeneity in relationship between district patterns of HIV incidence and covariates in Zimbabwe: a multi-scale geographically weighted regression analysis

Rutendo Birri Makota, Eustasius Musenge

27-11-2023

https://doi.org/10.4081/gh.2023.1207

1745

PDF: 864

HTML: 88
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: 1386

HTML: 1021
Enhancing GeoHealth: A step-by-step procedure for spatiotemporal disease mapping

Bart Roelofs, Gerd Weitkamp

23-10-2024

https://doi.org/10.4081/gh.2024.1287

1257

PDF: 500

Supplementary Materials: 198

HTML: 423
Outbreak of acute fasciolosis in sheep farms in a Mediterranean area arising as a possible consequence of climate change

Antonio Bosco, Laura Rinaldi, Vincenzo Musella, Alessandra Amadesi, Giuseppe Cringoli

319-324

19-03-2015

https://doi.org/10.4081/gh.2015.354

3549

PDF: 1808
Health impact assessment of industrial development projects: a spatio-temporal visualization

Mirko S. Winkler, Gary R. Krieger, Mark J. Divall, Burton H. Singer, Jürg Utzinger

299-301

01-05-2012

https://doi.org/10.4081/gh.2012.148

3429

PDF: 1346

Video: 0
Role of malnutrition and parasite infections in the spatial variation in children's anaemia risk in northern Angola

Ricardo J. Soares Magalhães, Antonio Langa, João Mário Pedro, José Carlos Sousa-Figueiredo, Archie C.A. Clements, Susana Vaz Nery

341-354

01-05-2013

https://doi.org/10.4081/gh.2013.91

4340

PDF: 2046
Spatio-temporal correlation between human and bovine schistosomiasis in China: insight from three national sampling surveys

Xiao-Hua Wu, Xian-Hong Wang, Jürg Utzinger, Kun Yang, Thomas K. Kristensen, Robert Bergquist, Gen-Ming Zhao, Hui Dang, Xiao-Nong Zhou

75-84

01-11-2007

https://doi.org/10.4081/gh.2007.256

2665

PDF: 970
Spatio-temporal trends and distribution patterns of typhoid disease in Uganda from 2012 to 2017

Kamukama Ismail, Gilbert Maiga, Denis Ssebuggwawo, Peter Nabende, Ali Mansourian

07-01-2021

https://doi.org/10.4081/gh.2020.860

3917

PDF: 1243

HTML: 48
The utility of Google Trends for epidemiological research: Lyme disease as an example

Ari Seifter, Alison Schwarzwalder, Kate Geis, John Aucott

135-137

01-05-2010

https://doi.org/10.4081/gh.2010.195

12074

PDF: 3772
A Bayesian kriging model for estimating residential exposure to air pollution of children living in a high-risk area in Italy

Ana M. Vicedo-Cabrera, Annibale Biggeri, Laura Grisotto, Fabio Barbone, Dolores Catelan

87-95

01-11-2013

https://doi.org/10.4081/gh.2013.57

2837

PDF: 1461
Spatio-temporal evaluation of cattle trade in Sweden: description of a grid network visualization technique

Stefan Widgren, Jenny Frössling

119-130

01-11-2010

https://doi.org/10.4081/gh.2010.192

1594

PDF: 1133
Use of geocoding techniques for epidemiological surveillance in the Federal District, Brazil: a case study using dengue

Lucas Sanglard, Klauss K. S. Garcia, Walter Massa Ramalho

02-09-2025

https://doi.org/10.4081/gh.2025.1403

979

PDF: 341

HTML: 64
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

3287

PDF: 1017

Supplementary Materials: 169

HTML: 251
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

3810

PDF: 1266
Point process methods in epidemiology: application to the analysis of human immunodeficiency virus/acquired immunodeficiency syndrome mortality in urban areas

Jose Antonio Quesada, Inmaculada Melchor, Andreu Nolasco

26-05-2017

https://doi.org/10.4081/gh.2017.506

1918

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HTML: 1067
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

3043

PDF: 1303
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

3542

PDF: 1842
Application of modern spatio-temporal analysis technologies to identify and visualize patterns of rabies emergence among different animal species in Kazakhstan

Aizada A. Mukhanbetkaliyeva, Anar M. Kabzhanova, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Temirlan G. Bakishev, Aslan A. Bainiyazov, Rakhimtay B. Tleulessov, Fedor I. Korennoy, Andres M. Perez, Sarsenbay K. Abdrakhmanov

31-07-2024

https://doi.org/10.4081/gh.2024.1290

1879

PDF: 813

HTML: 117
Urbanisation and its effect on risk factors associated with childhood diarrhoea in Mbour, Senegal: A visualisation

Sokhna Thiam, Samuel Fuhrimann, Aminata Niang-Diène, Ibrahima Sy, Ousmane Faye, Jürg Utzinger, Guéladio Cissé

27-11-2017

https://doi.org/10.4081/gh.2017.632

2648

PDF: 1040

VIDEO: 0

HTML: 888
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

3243

PDF: 1430
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

2944

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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

2157

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Predicting frequency distribution and influence of sociodemographic and behavioral risk factors of Schistosoma mansoni infection and analysis of co-infection with intestinal parasites

Carla V.V. Rollemberg, Marília M.B.L. Silva, Karla C. Rollemberg, Fábio R. Amorim, Nayanna M.N. Lessa, Marcos D.S. Santos, Acácia M.B. Souza, Enaldo V. Melo, Roque P. Almeida, Ã‚ngela M. Silva, Guilherme L. Werneck, Mario A. Santos, José A.P. Almeida, Amélia R. Jesus

18-05-2015

https://doi.org/10.4081/gh.2015.303

5000

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Effects of weather and landscape on the equine West Nile virus infection risk in Mississippi, USA

Guiming Wang

04-11-2015

https://doi.org/10.4081/gh.2015.357

2205

PDF: 1414

HTML: 960
Spatio-temporal patterns of dengue in Malaysia: combining address and sub-district level

Cheong Y. Ling, Oliver Gruebner, Alexander Krämer, Tobia Lakes

131-140

01-11-2014

https://doi.org/10.4081/gh.2014.11

4105

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