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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

2520

PDF: 1130

HTML: 192
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

3977

PDF: 1478

Supplementary Materials: 640

HTML: 206
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

2630

PDF: 1132
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

3675

PDF: 1376
Geographic clustering of elderly people with above-norm anthropometric measurements and blood chemistry

Carlos Mena, Eduardo Fuentes, Yony Ormazábal, Iván Palomo

11-05-2017

https://doi.org/10.4081/gh.2017.523

3015

PDF: 1358

HTML: 895
Space-time scan statistics of 2007-2013 dengue incidence in Cimahi city, Indonesia

Pandji Wibawa Dhewantara, Andri Ruliansyah, M. Ezza Azmi Fuadiyah, Endang Puji Astuti, Mutiara Widawati

27-11-2015

https://doi.org/10.4081/gh.2015.373

5494

PDF: 2095

HTML: 1041
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

1884

PDF: 1167
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

2043

PDF: 1130
Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil

Moara de Santana Martins Rodgers, Elivelton Fonseca, Prixia del Mar Nieto, John B. Malone, Jeffery C. Luvall, Jennifer C. McCarroll, Ryan Harry Avery, Maria Emilia Bavia, Raul Guimaraes, Xue Wen, Marta Mariana Nascimento Silva, Deborah D.M.T. Carneiro, Luciana Lobato Cardim

08-06-2022

https://doi.org/10.4081/gh.2022.1095

1809

PDF: 1079

HTML: 68
Mapping environmental susceptibility to Saint Louis encephalitis virus, based on a decision tree model of remotelysensed data

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

85-94

01-11-2011

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

1499

PDF: 964
Facilitating participatory multilevel decision-making by using interactive mental maps

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

103-112

01-11-2008

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

4853

PDF: 1683
Pleural mesothelioma in Poland: Spatial analysis of malignant mesothelioma prevalence in the period 1999-2013

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

09-11-2018

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

1733

PDF: 1036

HTML: 115
Modeling freshwater snail habitat suitability and areas of potential snail-borne disease transmission in Uganda

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

93-104

01-11-2006

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

3576

PDF: 1831
Mapping the main Leishmania phlebotomine vector in the endemic focus of the Mt. Vesuvius in southern Italy

Erika Rossi, Laura Rinaldi, Vincenzo Musella, Vincenzo Veneziano, Sabrina Carbone, Luigi Gradoni, Giuseppe Cringoli, Michele Maroli

191-198

01-05-2007

https://doi.org/10.4081/gh.2007.267

2269

PDF: 971
Spatial analysis of asbestos exposure and occupational health care in Poland during the period 2004-2013

MaÅ‚gorzata KròwczyÅ„ska, Ewa Wilk

09-11-2018

https://doi.org/10.4081/gh.2018.689

2564

PDF: 1463

HTML: 105
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

2463

PDF: 1747

APPENDIX: 681

HTML: 1058
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

3070

PDF: 1355
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

2105

PDF: 797

HTML: 102
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

1905

PDF: 1091
Report-back for geo-referenced environmental data: A case study on personal monitoring of temperature in outdoor workers

Laura Thompson, Maggie Sugg, Jennifer Runkle

07-05-2018

https://doi.org/10.4081/gh.2018.629

2669

PDF: 1278

APPENDIX: 421

HTML: 94
Understanding the relationship between land use and land cover and malaria in Nepal

Shreejana Bhattarai, Korine N. Kolivras, Kabita Ghimire, Yang Shao

29-12-2020

https://doi.org/10.4081/gh.2020.855

2331

PDF: 975

HTML: 45
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

1799

PDF: 906

HTML: 91
Sentiment analysis using a lexicon-based approach in Lisbon, Portugal

Iuria Betco, Ana Isabel Ribeiro, David S. Vale, Luis Encalada-Abarca, Cláudia M. Viana, Jorge Rocha

24-04-2025

https://doi.org/10.4081/gh.2025.1344

1435

PDF: 674

Supplementary Materials: 235

HTML: 86
Socio-economic and environmental factors are related to acute exacerbation of chronic obstructive pulmonary disease incidence in Thailand

Phuricha Phacharathonphakul, Kittipong Sornlorm

29-11-2024

https://doi.org/10.4081/gh.2024.1300

2293

PDF: 764

HTML: 139
The use of geographic information system as a tool for schistosomiasis surveillance in the province of Davao del Norte, the Philippines

Vicente Y. Belizario, John Paul Caesar R. delos Trinos, Berne Silawan, Chiqui M. De Veyra, Agapito Hornido, Hansel Amoguis, Dominic Basalo, Cherry Dema-ala, Irenn Mantilla, Rosele Layan

06-11-2017

https://doi.org/10.4081/gh.2017.540

7623

PDF: 2201

HTML: 2648
Mosquito breeding site water temperature observations and simulations towards improved vector-borne disease models for Africa

Ernest O. Asare, Adrian M. Tompkins, Leonard K. Amekudzi, Volker Ermert, Robert Redl

31-03-2016

https://doi.org/10.4081/gh.2016.391

3198

PDF: 1783

HTML: 4961
Cascading effects of COVID-19 on population mobility and air quality: An exploration including place characteristics using geovisualization

Samuel F. Atkinson, Abhishek K. Kala, Chetan Tiwari

17-02-2022

https://doi.org/10.4081/gh.2022.1056

2446

PDF: 467

HTML: 64
Simulation of the spatial distribution of urban populations based on first-aid call data

Yinan Zhou, Qin Zhong Zhu, Li Luo

29-12-2020

https://doi.org/10.4081/gh.2020.768

1700

PDF: 711

HTML: 43
Spread of Ebola virus disease based on the density of roads in West Africa

Diana Gomez-Barroso, Emilia Velasco, Carmen Varela, Inmaculada Leon, Rosa Cano

03-11-2017

https://doi.org/10.4081/gh.2017.552

2663

PDF: 1005

APPENDIX: 595

HTML: 1310
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

1855

PDF: 745

HTML: 57
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

1410

PDF: 825

HTML: 59
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

2051

PDF: 542

HTML: 66
Spatial electromagnetic field intensity modelling of global system for mobile communication base stations in the Istanbul Technical University Ayazaga campus area

Kubra Boz, Hayri Hakan Denli

07-05-2018

https://doi.org/10.4081/gh.2018.527

1691

PDF: 1004

HTML: 145
Comparing the perception with the reality of walking in a hilly environment: an accessibility method applied to a University campus in Hong Kong

Guibo Sun, Robert Haining, Hui Lin, Nicolas M. Oreskovic, Jie He

18-05-2015

https://doi.org/10.4081/gh.2015.340

5757

PDF: 2062

HTML: 1927
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

1108

PDF: 379

HTML: 39
Comparison of complete and spatial sampling frames for estimation of the prevalence of hypertension and diabetes mellitus

Vasna Joshua, Kamaraj Pattabi, Yuvaraj Jeyaraman, Prabhdeep Kaur, Tarun Bhatnagar, Suresh Arunachalam, Sabarinathan Ramasamy, Venkateshprabhu Janagaraj, Manoj V Murhekar

30-11-2022

https://doi.org/10.4081/gh.2022.1097

2489

PDF: 1021

HTML: 131
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

4345

PDF: 2059

HTML: 1408
Spatial analysis of the prevalence of schistosomiasis in an endemic coastal area in north-eastern Brazil

Allan D. Santos, Jonhnatas Silva, Ana Caroline Lima, Márcio Santos, Shirley Lima, Monalisa Amor, Carlos Santos, Arthur Vasconcelos, Silvio Dolabella, Karina C.G.M. Araújo

27-11-2017

https://doi.org/10.4081/gh.2017.570

3219

PDF: 1067

HTML: 895
The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure

Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani

04-06-2025

https://doi.org/10.4081/gh.2025.1386

3408

PDF: 727

HTML: 114
Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand

Ei Sandar U, Wongsa Laohasiriwong, Kittipong Sornlorm

25-05-2023

https://doi.org/10.4081/gh.2023.1183

1892

PDF: 1062

Supplementary Materials: 180

HTML: 110
Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning

Sumiko Anno, Takeshi Hara, Hiroki Kai, Ming-An Lee, Yi Chang, Kei Oyoshi, Yousei Mizukami, Takeo Tadono

06-11-2019

https://doi.org/10.4081/gh.2019.771

7031

PDF: 2789

APPENDIX: 409

HTML: 503
Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis

Wongsa Laohasiriwong, Nattapong Puttanapong, Atthawit Singsalasang

07-05-2018

https://doi.org/10.4081/gh.2018.608

4534

PDF: 2121

HTML: 585
Mapping of the environmental contamination of Toxoplasma gondii by georeferencing isolates from chickens in an endemic area in Southeast Rio de Janeiro State, Brazil

Luciana Casartelli-Alves, Maria Regina Reis Amendoeira, Viviane Cardoso Boechat, Luiz Cláudio Ferreira, João Carlos Araujo Carreira, José Leonardo Nicolau, Eloiza Paula de Freitas Trindade, Julia Novaes de Barros Peixoto, Mônica de Avelar Figueiredo Mafra Magalhães, Raquel de Vasconcellos Carvalhaes de Oliveira, TÃ¢nia Maria Pacheco Schubach, Rodrigo Caldas Menezes

18-05-2015

https://doi.org/10.4081/gh.2015.311

3539

PDF: 1549

HTML: 1519
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

2204

PDF: 1001

Supplementary Materials: 187

HTML: 71
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

4541

PDF: 2029

APPENDIX 1: 490

APPENDIX 2: 516

HTML: 1654
Environmental change and Rift Valley fever in eastern Africa: projecting beyond HEALTHY FUTURES

David Taylor, Michael Hagenlocher, Anne E. Jones, Stefan Kienberger, Joseph Leedale, Andrew P. Morse

31-03-2016

https://doi.org/10.4081/gh.2016.387

6660

PDF: 2124

HTML: 2211
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

3358

PDF: 1083

HTML: 918
Strengthening disease control and trade through zoning and biosecurity

Nicola Ferrè, Guido Di Martino, Benedetta Cappelletti, Carlotta Ferroni, Marija Korac, Paolo Tizzani, Federica Sbettega, Giovanni Cattoli

13-05-2026

https://doi.org/10.4081/gh.2026.1391

189

PDF: 164

HTML: 30
Combining process-based and correlative models improves predictions of climate change effects on Schistosoma mansoni transmission in eastern Africa

Anna-Sofie Stensgaard, Mark Booth, Grigory Nikulin, Nicky McCreesh

31-03-2016

https://doi.org/10.4081/gh.2016.406

4459

PDF: 1725

HTML: 1072
Identification and assessment of the driving forces for the use of urban green parks and their accessibility in Colombo, Sri Lanka, through analytical hierarchical processing

P.R.G.N. Indika Pussella, Lin Li

14-05-2019

https://doi.org/10.4081/gh.2019.738

2466

PDF: 1286

APPENDIX: 394

HTML: 126
Vector-borne diseases in a warmer world: Will they stay or will they go?

Robert Bergquist, Anna-Sofie Stensgaard, Laura Rinaldi

07-05-2018

https://doi.org/10.4081/gh.2018.699

3119

PDF: 1389

HTML: 228
Dynamic risk model for Rift Valley fever outbreaks in Kenya based on climate and disease outbreak data

David Gikungu, Jacob Wakhungu, Donald Siamba, Edward Neyole, Richard Muita, Bernard Bett

31-05-2016

https://doi.org/10.4081/gh.2016.377

3421

PDF: 1565

HTML: 1494
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

5051

PDF: 2083

HTML: 1098
Spatial pattern and heterogeneity of chronic respiratory diseases and relationship to socio-demographic factors in Thailand in the period 2016 to 2019

Zar Chi Htwe, Wongsa Laohasiriwong, Kittipong Sornlorm, Roshan Mahato

25-05-2023

https://doi.org/10.4081/gh.2023.1203

1148

PDF: 761

HTML: 41
Development of the first georeferenced map of Rhipicephalus (Boophilus) spp. in Mexico from 1970 to date and prediction of its spatial distribution

Yazmin Alcala-Canto, Juan Antonio Figueroa-Castillo, Froylán Ibarra-Velarde, Yolanda Vera-Montenegro, María Eugenia Cervantes-Valencia, Abdelfattah Z.M. Salem, Jorge Alfredo Cuéllar-Ordaz

07-05-2018

https://doi.org/10.4081/gh.2018.624

4708

PDF: 1441

HTML: 282
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

5141

PDF: 1877

HTML: 2289
Epidemiological aspects and spatial distribution of human and canine visceral leishmaniasis in an endemic area in northeastern Brazil

Roseane Campos, Márcio Santos, Gabriel Tunon, Luana Cunha, Lucas Magalhães, Juliana Moraes, Danielle Ramalho, Sanmy Lima, José Antônio Pacheco, Michael Lipscomb, Amélia Ribeiro de Jesus, Roque Pacheco de Almeida

11-05-2017

https://doi.org/10.4081/gh.2017.503

5998

PDF: 2313

HTML: 1161
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

2056

PDF: 1090

HTML: 192
A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment

Jerry Enoe , Michael Sutherland, Dexter Davis, Bheshem Ramlal, Charisse Griffith-Charles , Keston H. Bhola, Elsai Mati Asefa

28-03-2024

https://doi.org/10.4081/gh.2024.1264

3247

PDF: 994

HTML: 127
Exploring the distribution of risk factors for drop-out from Ponseti treatment for clubfoot across Bangladesh using geospatial cluster analysis

Manon Pigeolet, Tarinee Kucchal, Matthew T. Hey, Marcia C. Castro, Angela Margaret Evans, Tarsicio Uribe-Leitz, Mohommad Mamun Hossen Chowhury, Sabrina Juran

25-05-2023

https://doi.org/10.4081/gh.2023.1174

1384

PDF: 729

HTML: 21
Implementation of geographical information systems for the study of diseases caused by vector-borne arboviruses in Southeast Asia: A review based on the publication record

Ajib Diptyanusa, Lutfan Lazuardi, Retnadi Heru Jatmiko

17-06-2020

https://doi.org/10.4081/gh.2020.862

2819

PDF: 1397

HTML: 192
Estimating small area health-related characteristics of populations: a methodological review

Azizur Rahman

08-05-2017

https://doi.org/10.4081/gh.2017.495

4498

PDF: 2083

HTML: 1382
Design and implementation of a spatial database for analysis of wheelchair accessibility

Peter Nezval, Takeshi Shirabe

24-03-2025

https://doi.org/10.4081/gh.2025.1324

2247

PDF: 670

HTML: 139
Risk areas for hepatitis A, B and C in the municipality of MaringÃ¡, ParanÃ¡ State, Brazil 2007-2010

Valéria Miranda Avanzi, Udelysses Janete Veltrini Fonzar, Eraldo Schunk Silva, Jorge Juarez Vieira Teixeira, Dennis Armando Bertolini

08-05-2018

https://doi.org/10.4081/gh.2018.607

2088

PDF: 880

HTML: 154
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

2986

PDF: 1163

HTML: 70
Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models

Xavier Barber, David Conesa, Silvia Lladosa, Antonio Lòpez-Quílez

18-04-2016

https://doi.org/10.4081/gh.2016.415

3871

PDF: 2000

HTML: 2265

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