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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

2867

PDF: 905

HTML: 91
Risk mapping and estimation of COVID-19 transmission in South Sulawesi, Indonesia by a self-identification survey

Andang Suryana Soma, Andi Alfian Zainuddin, Shanti Riskiyani, Nurhaya Nurdin, Muhammad Firdaus Kasim, Joko Hendarto, Masriadi

18-03-2022

https://doi.org/10.4081/gh.2022.1034

2182

PDF: 578

HTML: 70
Spatial access disparities to primary health care in rural and remote Australia

Matthew Richard McGrail, John Stirling Humphreys

04-11-2015

https://doi.org/10.4081/gh.2015.358

23595

PDF: 9767

HTML: 2345
Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis

Xiao Li, Amanda Staudt, Lung-Chang Chien

21-11-2016

https://doi.org/10.4081/gh.2016.439

2788

PDF: 1323

APPENDIX: 484

HTML: 1155
Examination of infant mortality risk in Turkey with spatio-temporal Bayesian models

Sade Kılıç Yıldırım, Celal Reha Alpar

14-11-2025

https://doi.org/10.4081/gh.2025.1396

443

PDF: 220

HTML: 6
Spatio-temporal modelling of tick life-stage count data with spatially varying coefficients

Thabo Lephoto, Henry Mwambi, Oliver Bodhlyera, Holly Gaff

20-10-2021

https://doi.org/10.4081/gh.2021.1004

1425

PDF: 687

HTML: 100
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

2524

PDF: 702

HTML: 59
Spatiotemporal epidemiology of COVID-19 from an epidemic course perspective

Yuling Huang, Shujuan Yang, Yuxuan Zou, Jianming Su, Canglang Wu, Bo Zhong, Peng Jia

10-02-2022

https://doi.org/10.4081/gh.2022.1023

3433

PDF: 637

HTML: 35
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

4325

PDF: 2052

HTML: 582
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand

Worrayot Darasawang, Wongsa Laohasiriwong, Kittipong Sornlorm , Warangkana Sungsitthisawad, Roshan Kumar Mahato

27-01-2025

https://doi.org/10.4081/gh.2025.1329

3362

PDF: 1066

Supplementary Materials: 582

HTML: 258
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

1181

PDF: 733

Supplementary Materials: 155

HTML: 68
Spatial analysis of congenital heart disease in São Paulo State, Brazil 2012-2022: associations with air pollution, maternal factors and social vulnerability

Amarílis Bahia Bezerra, Ligia Vizeu Barrozo, Alfredo Pereira de Queiroz

18-09-2025

https://doi.org/10.4081/gh.2025.1407

771

PDF: 436

HTML: 20
Impact of the presence of private hospitals on the spatial equality of healthcare accessibility in Beijing, China

Teqi Dai, Kaifei Guo, Juanjuan Zhao, Wenqing Lu

29-11-2022

https://doi.org/10.4081/gh.2022.1157

2255

PDF: 1129

HTML: 105
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

1516

PDF: 767

HTML: 17
Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020

Enríque Ibarra-Zapata, Darío Gaytán-Hernández, Yolanda Terán-Figueroa, Verónica Gallegos-García, Carmen del Pilar Suárez-Rodríguez, Sergio Zarazúa Guzmán, Omar Parra Rodríguez

27-01-2025

https://doi.org/10.4081/gh.2025.1348

4542

PDF: 1599

HTML: 275
Impact of the COVID-19 pandemic on the number of births in Pernambuco Brazil

Heitor Victor Veiga da Costa, Cristine Vieira do Bonfim, Wilson Fusco, Morvan de Melo Moreira, Fernando Maciano de Paula Neto

15-06-2022

https://doi.org/10.4081/gh.2022.1069

1287

PDF: 591

HTML: 58
Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches

Farah Kristiani, I Gede Nyoman Mindra Jaya, Robyn Irawan, Inanta Maria Priscilia

02-02-2026

https://doi.org/10.4081/gh.2026.1461

601

PDF: 304

Supplementary materials: 45

HTML: 10
Assessing joint spatial autocorrelations between mortality rates due to cardiovascular conditions in South Africa

Timotheus B. Darikwa, Samuel Manda, â€˜Maseka Lesaoana

06-11-2019

https://doi.org/10.4081/gh.2019.784

1337

PDF: 790

APPENDIX: 286

HTML: 85
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

3962

PDF: 1525

HTML: 193
Nonlinear analysis of factors influencing public health in China based on machine learning

Dehong Sun, Hui Wang

16-03-2026

https://doi.org/10.4081/gh.2026.1450

187

PDF: 154

HTML: 9
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

2318

PDF: 757

HTML: 34
Spatial analysis and modelling of depression relative to social vulnerability index across the United States

Kiara M. Rivera, Abolfazl Mollalo

01-09-2022

https://doi.org/10.4081/gh.2022.1132

5089

PDF: 2206

HTML: 588
Accounting for autocorrelation in multi-drug resistant tuberculosis predictors using a set of parsimonious orthogonal eigenvectors aggregated in geographic space

Benjamin G. Jacob, Fiorella Krapp, Mario Ponce, Eduardo Gotuzzo, Daniel A. Griffith, Robert J. Novak

201-217

01-05-2010

https://doi.org/10.4081/gh.2010.201

1793

PDF: 1058
The future of general practitioner care in Lower Saxony, Germany: an analysis of actual vs target states using a GIS-based floating catchment area method

Jonas Schoo, Frank Schüssler

19-02-2025

https://doi.org/10.4081/gh.2025.1339

2687

PDF: 809

HTML: 110
Comparison of single- and multi-scale models for the prediction of the Culicoides biting midge distribution in Germany

Renke Lühken, Jörn Martin Gethmann, Petra Kranz, Pia Steffenhagen, Christoph Staubach, Franz J. Conraths, Ellen Kiel

31-05-2016

https://doi.org/10.4081/gh.2016.405

3375

PDF: 1118

HTML: 1464
Feasibility study to objectively assess activity and location of Hispanic preschoolers: a short communication

Teresia M. O'Connor, Ester Cerin, Jessica Robles, Rebecca E. Lee, Jacqueline Kerr, Nancy Butte, Jason A. Mendoza, Deborah Thompson, Tom Baranowski

375-380

01-05-2013

https://doi.org/10.4081/gh.2013.94

2040

PDF: 1063
A spatiotemporal analysis of the impact of the COVID-19 outbreak on noise pollution in Tehran, Iran

Omid Reza Abbasi, Yasser Ebrahimian Ghajari , Ali Asghar Alesheikh

29-11-2022

https://doi.org/10.4081/gh.2022.1114

939

PDF: 835

HTML: 18
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

5524

PDF: 1957

HTML: 1910
Incidence of visceral leishmaniasis in the Vaishali district of Bihar, India: spatial patterns and role of inland water bodies

Gouri Sankar Bhunia, Shreekant Kesari, Nandini Chatterjee, Dilip Kumar Pal, Vijay Kumar, Alok Ranjan, Pradeep Das

205-215

01-05-2011

https://doi.org/10.4081/gh.2011.173

1986

PDF: 1177
Spatial analysis of the relationship between early childhood mortality and malaria endemicity in Malawi

Lawrence N. Kazembe, Christopher C. Appleton, Immo Kleinschmidt

41-50

01-11-2007

https://doi.org/10.4081/gh.2007.253

2970

PDF: 1556
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

981

PDF: 436

Supplementary materials: 82

HTML: 18
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

3996

PDF: 1393
Spatial assessment of animal manure spreading and groundwater nitrate pollution

Roberta Infascelli, Raffaele Pelorosso, Lorenzo Boccia

27-38

01-11-2009

https://doi.org/10.4081/gh.2009.208

1745

PDF: 1152
The world in your hands: GeoHealth then and now

Robert Bergquist, Samuel Manda

13-05-2019

https://doi.org/10.4081/gh.2019.779

2628

PDF: 1622

HTML: 57
Is missing geographic positioning system data in accelerometry studies a problem, and is imputation the solution?

Kristin Meseck, Marta M. Jankowska, Jasper Schipperijn, Loki Natarajan, Suneeta Godbole, Jordan Carlson, Michelle Takemoto, Katie Crist, Jacqueline Kerr

31-05-2016

https://doi.org/10.4081/gh.2016.403

2463

PDF: 1564

HTML: 921
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

2217

PDF: 1443
Geographic access to radiation therapy facilities and disparities of early-stage breast cancer treatment

Yan Lin, Michael C. Wimberly, Patricia Da Rosa, Joseph Hoover, William F. Athas

07-05-2018

https://doi.org/10.4081/gh.2018.622

3921

PDF: 1509

HTML: 378
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

3524

PDF: 1184

HTML: 828
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

2560

PDF: 1013
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

3035

PDF: 909

HTML: 103
Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis

Isabelle Lebert, Séverine Bord, Christine Saint-Andrieux, Eva Cassar, Patrick Gasqui, Frédéric Beugnet, Karine Chalvet-Monfray, Sophie O. Vanwambeke, Gwenaël Vourc’h, Magalie René-Martellet

17-05-2022

https://doi.org/10.4081/gh.2022.1058

7118

PDF: 2579

Appendix: 395

HTML: 366
Spatiotemporal analysis of rabies in cattle in central Mexico

Isabel Bárcenas-Reyes, Diana Paulina Nieves-Martínez, José Quintín Cuador-Gil, Elizabeth Loza-Rubio, Sara González-Ruíz, Germinal Jorge Cantò-Alarcòn, Feliciano Milian-Suazo

06-11-2019

https://doi.org/10.4081/gh.2019.805

2991

PDF: 1358

HTML: 137
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

3782

PDF: 1279

APPENDIX: 451

HTML: 863
The acquired immunodeficiency syndrome in the State of Rio de Janeiro, Brazil: a spatio-temporal analysis of cases reported in the period 2001-2010

André T. J. Alves, Flávio F. Nobre

437-443

01-05-2014

https://doi.org/10.4081/gh.2014.32

1882

PDF: 1021
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

4407

PDF: 2321

HTML: 2207
Analysis of the El Niño/La Niña-Southern Oscillation variability and malaria in the Estado Sucre, Venezuela

Laura Delgado-Petrocelli, Karenia Còrdova, Alberto Camardiel, Víctor H. Aguilar, Denise Hernández, Santiago Ramos

S51-S57

01-09-2012

https://doi.org/10.4081/gh.2012.122

2761

PDF: 1139
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

1744

PDF: 949

Supplementary Materials: 151

HTML: 90
Spatial analysis of the AIDS mortality rate among young people in a province of the Brazilian Amazon: An ecological study

Sara Melissa Lago Sousa, Andrey Oeiras Pedroso , Iaron Leal Seabra , Glenda Roberta Oliveira Naiff Ferreira, Aline Maria Pereira Cruz Ramos , Sandra Helena Isse Polaro, Eliã Pinheiro Botelho

29-11-2022

https://doi.org/10.4081/gh.2022.1102

1133

PDF: 911

HTML: 22
Geographically weighted regression for modelling the accessibility to the public hospital network in ConcepciÃ³n Metropolitan Area, Chile

Marcela Martínez Bascuñán, Carolina Rojas Quezada

22-11-2016

https://doi.org/10.4081/gh.2016.451

3958

PDF: 1873

HTML: 2192
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

5872

PDF: 2237
Risk map for cutaneous leishmaniasis in Ethiopia based on environmental factors as revealed by geographical information systems and statistics

Ahmed Seid, Endalamaw Gadisa, Teshome Tsegaw, Adugna Abera, Aklilu Teshome, Abate Mulugeta, Merce Herrero, Daniel Argaw, Alvar Jorge, Asnakew Kebede, Abraham Aseffa

377-387

01-05-2014

https://doi.org/10.4081/gh.2014.27

6941

PDF: 2874
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

2255

PDF: 973

HTML: 96
Cystic echinococcosis in slaughtered cattle in Sardinia: a retrospective epidemiological study and spatial analysis

Diego Brundu, Daniela Aloi, Sandro Rolesu, Toni Piseddu, Giovanna Masala

285-291

01-05-2012

https://doi.org/10.4081/gh.2012.146

1581

PDF: 1011
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

1052

PDF: 684

HTML: 35
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

1697

PDF: 985

HTML: 62
Sensitivity analysis of the relationship between disease occurrence and distance from a putative source of pollution

Emanuela Dreassi, Corrado Lagazio, Milena M. Maule, Corrado Magnani, Annibale Biggeri

263-271

01-05-2008

https://doi.org/10.4081/gh.2008.249

1422

PDF: 776
Optimizing vaccination sites for infectious diseases based on heterogeneous travel modes in multiple scenarios

Wentao Yang, Fengjie Wang, Yihan You, Zhixiong Fang, Xing Wang, Xiaoming Mei

24-03-2025

https://doi.org/10.4081/gh.2025.1362

1921

PDF: 443

HTML: 105
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

2029

PDF: 897

Annex I-VI: 167

HTML: 74
First year with COVID-19: Assessment and prospects

Robert Bergquist, Behzad Kiani, Samuel Manda

26-11-2020

https://doi.org/10.4081/gh.2020.953

3085

PDF: 799

HTML: 28
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

2794

PDF: 1230
A post-pandemic analysis of air pollution over small-sized urban areas in southern Thailand following the COVID-19 lockdown

Dimitris Stratoulias, Beomgeun Jang, Narissara Nuthammachot

07-07-2025

https://doi.org/10.4081/gh.2025.1354

1054

PDF: 435

Supplementary Materials: 98

HTML: 58
Comparing the accuracy of food outlet datasets in an urban environment

Michelle S. Wong, Jennifer M. Peyton, Timothy M. Shields, Frank C. Curriero, Kimberly A. Gudzune

11-05-2017

https://doi.org/10.4081/gh.2017.546

2340

PDF: 1124

HTML: 972
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

1548

PDF: 1120
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

2682

PDF: 1279

HTML: 1235
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

3865

PDF: 2230

HTML: 1271
Schistosoma japonicum risk in Jiangsu province, People's Republic of China: identification of a spatio-temporal risk pattern along the Yangtze River

Kun Yang, Le-Ping Sun, You-Sheng Liang, Feng Wu, Wei Li, Jian-Feng Zhang, Yi-Xin Huang, De-Rong Hang, Song Liang, Robert Bergquist, Xiao-Nong Zhou

133-142

01-11-2013

https://doi.org/10.4081/gh.2013.61

3099

PDF: 1239
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

3169

PDF: 1477

HTML: 199
Cancer incidence in Priolo, Sicily: a spatial approach for estimation of industrial air pollution impact

Lucia Fazzo, Mario Carere, Francesco Tisano, Caterina Bruno, Achille Cernigliaro, Maria Rita Cicero, Pietro Comba, Maria Luisa Contrino, Marco De Santis, Fabrizio Falleni, Vincenzo Ingallinella, Anselmo Madeddu, Ida Marcello, Carlo Regalbuto, Giovanna Sciacca, Maria Eleonora Soggiu, Amerigo Zona

18-04-2016

https://doi.org/10.4081/gh.2016.320

5172

PDF: 2066

HTML: 2079
Divergent spatial patterns in the prevalence of the human immunodeficiency virus (HIV) and syphilis in South African pregnant women

Samuel O.M. Manda, Carl J. Lombard, Thabang Mosala

221-231

01-05-2012

https://doi.org/10.4081/gh.2012.140

1857

PDF: 1380
A geospatial study of the coverage of catheterization laboratory facilities (cath labs) and the travel time required to reach them in East Java, Indonesia

Andrianto Andrianto, Farizal Rizky Muharram, Chaq El Chaq Zamzam Multazam, Wigaviola Socha, Doni Firman, Ahmad Chusnu Romdhoni, Senitza Anisa Salsabilla

25-05-2023

https://doi.org/10.4081/gh.2023.1164

1501

PDF: 889

HTML: 61
The effects of vegetation density and habitat disturbance on the spatial distribution of ixodid ticks (Acari: Ixodidae)

Kenneth J. Stein, Megan Waterman, Jefferson L. Waldon

241-252

01-05-2008

https://doi.org/10.4081/gh.2008.247

2507

PDF: 1503
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

1781

PDF: 878

HTML: 27
Prehistoric human migrations: a prospective subject for modelling using geographical information systems

Robert Bergquist

25-05-2023

https://doi.org/10.4081/gh.2023.1210

1505

PDF: 545

HTML: 63
Improving the accuracy of livestock distribution estimates through spatial interpolation

Ward Bryssinckx, Els Ducheyne, Bernard Muhwezi, Sunday Godfrey, Koen Mintiens, Herwig Leirs, Guy Hendrickx

101-109

01-11-2012

https://doi.org/10.4081/gh.2012.109

1452

PDF: 1019
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

1837

PDF: 957

HTML: 70
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

2370

PDF: 435

HTML: 56
Spatial analysis and prediction of the flow of patients to public health centres in a middle-sized Spanish city

Isabel Ramos, Juan J. Cubillas, Francisco R. Feito, Tomas Ureña

21-11-2016

https://doi.org/10.4081/gh.2016.452

2209

PDF: 1282

HTML: 1138
Elucidating the underlying causes of oral cancer through spatial clustering in high-risk areas of Taiwan with a distinct gender ratio of incidence

Chi-Ting Chiang, Yaw-Huei Hwang, Che-Chun Su, Kuo-Yang Tsai, Ie-Bin Lian, Tzu-Hsuen Yuan, Tsun-Kuo Chang

231-242

01-05-2010

https://doi.org/10.4081/gh.2010.203

2870

PDF: 1061
Spatial clusters of life expectancy and association with cardiovascular disease mortality and cancer mortality in the contiguous United States: 1980-2014

Raid W. Amin, Julia Steinmetz

14-05-2019

https://doi.org/10.4081/gh.2019.733

2182

PDF: 1202

HTML: 89
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

3815

PDF: 1731

HTML: 1212
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

1962

PDF: 737

HTML: 99
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

1727

PDF: 687

HTML: 49
Changes in geographic clustering of post-traumatic stress disorder and post-traumatic growth seven years after an earthquake in Cauquenes, Chile

Marcelo Leiva-Bianchi, Carlos Mena, Yony Ormazábal, Carlos Serrano, Pedro Rojas

26-11-2020

https://doi.org/10.4081/gh.2020.886

2522

PDF: 930

HTML: 14
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

2463

PDF: 1040

APPENDIX: 463

HTML: 126
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

2594

PDF: 1475

HTML: 2023
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

1740

PDF: 1160
Searching for space-time clusters: The CutL method compared to Kulldorff's scan statistic

Barbara WiÄ™ckowska, Ilona Gòrna, Maciej Trojanowski, Agata Pruciak, Barbara StawiÅ„ska-WitoszyÅ„ska

06-11-2019

https://doi.org/10.4081/gh.2019.791

1487

PDF: 827

HTML: 187
Assessment of malaria transmission changes in Africa, due to the climate impact of land use change using Coupled Model Intercomparison Project Phase 5 earth system models

Adrian M. Tompkins, Luca Caporaso

31-03-2016

https://doi.org/10.4081/gh.2016.380

4119

PDF: 1900

HTML: 1281
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

2660

PDF: 1217

HTML: 1134
A climate distribution model of malaria transmission in Sudan

Mohammed I. Musa, Shamarina Shohaimi, Nor R. Hashim, Isthrinayagy Krishnarajah

27-36

01-11-2012

https://doi.org/10.4081/gh.2012.102

2475

PDF: 1174
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

1634

PDF: 495

Appendix: 261

HTML: 44
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

4204

PDF: 1620

APPENDIX: 565

HTML: 1542
Evaluating the utility of companion animal tick surveillance practices for monitoring spread and occurrence of human Lyme disease in West Virginia, 2014-2016

Brian Hendricks, Miguella Mark-Carew, Jamison Conley

13-11-2017

https://doi.org/10.4081/gh.2017.582

2717

PDF: 887

HTML: 757
Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City

Dustin T. Duncan, Ryan R. Ruff, Basile Chaix, Seann D. Regan, James H. Williams, Joseph Ravenell, Marie A. Bragg, Gbenga Ogedegbe, Brian Elbel

31-05-2016

https://doi.org/10.4081/gh.2016.399

4223

PDF: 1995

HTML: 1504
The food environment and adult obesity in US metropolitan areas

Akihiko Michimi, Michael C. Wimberly

26-11-2015

https://doi.org/10.4081/gh.2015.368

6299

PDF: 2877

HTML: 1232
Impact of spatial aggregation error on the spatial scan analysis: a case study of colorectal cancer

Lan Luo

23-35

01-11-2013

https://doi.org/10.4081/gh.2013.51

1592

PDF: 900
Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle

Fleur Hierink, Nima Yaghmaei, Mirjam I. Bakker, Nicolas Ray, Marc van den Homberg

29-10-2024

https://doi.org/10.4081/gh.2024.1284

6513

PDF: 837

Supplementary Materials: 274

HTML: 121
Modeling spatio-temporal risk changes in the incidence of dengue fever in Saudi Arabia: a geographical information system case study

Hassan M. Khormi, Lalit Kumar, Ramze A. Elzahrany

77-84

01-11-2011

https://doi.org/10.4081/gh.2011.159

3008

PDF: 1430
When homogeneity meets heterogeneity: the geographically weighted regression with spatial lag approach to prenatal care utilisation

Carla Shoff, Vivian Yi-Ju Chen, Tse-Chuan Yang

557-568

01-05-2014

https://doi.org/10.4081/gh.2014.45

2676

PDF: 1222
Spatial comparison of London’s three waves of Spanish flu

Walter Peterson

19-10-2023

https://doi.org/10.4081/gh.2023.1235

1514

PDF: 715

HTML: 604

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