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Socioeconomic determinants of pandemics: a spatial methodological approach with evidence from COVID-19 in Nice, France

Laurent Bailly, Rania Belgaied, Thomas Jobert, Benjamin Montmartin

15-09-2025

https://doi.org/10.4081/gh.2025.1383

797

PDF: 331

Supplementary materials: 77

HTML: 22
Environmental and geographical factors influence malaria transmission in KwaZulu-Natal province, South Africa

Osadolor Ebhuoma, Michael Gebreslasie, Oswaldo Villena, Ali Arab

09-06-2025

https://doi.org/10.4081/gh.2025.1370

1256

PDF: 809

HTML: 129
Assessment of primary healthcare accessibility and inequality in north-eastern Kazakhstan

Askhat Shaltynov, Jorge Rocha , Ulzhan Jamedinova, Ayan Myssayev

13-05-2022

https://doi.org/10.4081/gh.2022.1046

3316

PDF: 1412

HTML: 345
Evaluation of emergency medical service application from a geographical location perspective in Turkey

Özgür Elmas, Rahmi Nurhan Çelik

29-09-2025

https://doi.org/10.4081/gh.2025.1408

2604

PDF: 468

HTML: 50
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

2085

PDF: 901

Supplementary Materials: 157

HTML: 61
Global Mpox spread due to increased air travel

Huijie Qiao, Paanwaris Paansri, Luis E. Escobar

11-06-2024

https://doi.org/10.4081/gh.2024.1261

2455

PDF: 816

HTML: 257
A dynamic, climate-driven model of Rift Valley fever

Joseph Leedale, Anne E. Jones, Cyril Caminade, Andrew P. Morse

31-03-2016

https://doi.org/10.4081/gh.2016.394

4802

PDF: 2073

Appendix: 585

HTML: 1596
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

3845

PDF: 1370

HTML: 935
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

4004

PDF: 1506

HTML: 1145
Heterogeneity in a communal cattle-farming system in a zone endemic for foot and mouth disease in South Africa

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

31-05-2016

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

2677

PDF: 1377

HTML: 1463
Role of geography in the reorganization of the Italian National Health Service: Implementation of geographic information in the logistics and resilience of organizational structures

Carla Dieci, Giovanni Rinaldi

17-05-2022

https://doi.org/10.4081/gh.2022.1041

1057

PDF: 502

HTML: 24
Estimating malaria burden in Nigeria: a geostatistical modelling approach

Nnadozie Onyiri

04-11-2015

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

7628

PDF: 3183

HTML: 3280
Spatial air pollution modelling for a West-African town

Sirak Zenebe Gebreab, Danielle Vienneau, Christian Feigenwinter, HampÃ¢té BÃ¢, Guéladio Cissé, Ming-Yi Tsai

26-11-2015

https://doi.org/10.4081/gh.2015.321

3835

PDF: 1736

SUPPL. MATERIAL: 459

HTML: 1087
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

4586

PDF: 1334

HTML: 276
Spatial association between the incidence rate of COVID-19 and poverty in the SÃ£o Paulo municipality, Brazil

Marcos César Ferreira

26-11-2020

https://doi.org/10.4081/gh.2020.921

7484

PDF: 1482

Appendix: 180

HTML: 33
Spatial and temporal dynamic analysis of rabies: A review of current methodologies

Shuaicheng Chen

30-11-2022

https://doi.org/10.4081/gh.2022.1139

2873

PDF: 1992

HTML: 400
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

4307

PDF: 2043

HTML: 581
Climate change and species distribution: possible scenarios for thermophilic ticks in Romania

Cristian DomÈ™a, Attila D. Sándor, Andrei D. Mihalca

31-05-2016

https://doi.org/10.4081/gh.2016.421

3034

PDF: 1427

HTML: 1684
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

2923

PDF: 996

HTML: 797
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

3207

PDF: 1020

HTML: 906
Accessibility evaluation of urban basic public service facilities for persons with disabilities: a case study of central Beijing

Ying Sun, Xiangfeng Li, Zhizhe Sun, Weiyang Jia

02-02-2026

https://doi.org/10.4081/gh.2026.1460

604

PDF: 323

HTML: 11
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

2643

PDF: 795

HTML: 110
A Bayesian spatiotemporal Poisson conditional autoregressive model for dengue haemorrhagic fever in Indonesia integrating satellite-generated environmental data

Sukarna Sukarna, Hari Wijayanto, Yenni Angraini, Anang Kurnia

18-07-2025

https://doi.org/10.4081/gh.2025.1379

1228

PDF: 579

HTML: 56
Spatio-temporal analysis of leptospirosis in Brazil and its relationship with flooding

Alice Nardoni Marteli, Laurindo Antonio Guasselli , Décio Diament , Gabriele Ozório Wink , Vitor Vieira Vasconcelos

29-11-2022

https://doi.org/10.4081/gh.2022.1128

2773

PDF: 1682

HTML: 211
Sandwich mapping of schistosomiasis risk in Anhui Province, China

Yi Hu, Robert Bergquist, Henry Lynn, Fenghua Gao, Qizhi Wang, Shiqing Zhang, Rui Li, Liqian Sun, Congcong Xia, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang

03-06-2015

https://doi.org/10.4081/gh.2015.324

3177

PDF: 1244

HTML: 1085
Spatiotemporal evolution characteristics and attribution analysis of hepatitis A in mainland China

Xiaodi Su, Chunxia Qiu, Chunhui Liu

03-12-2024

https://doi.org/10.4081/gh.2024.1323

1338

PDF: 447

HTML: 27
Diabetes prevalence in the state of Alabama: identifying the risk factors

Kwaku Karikari Manu, Seth Appiah-Opoku

31-03-2026

https://doi.org/10.4081/gh.2026.1465

367

PDF: 150

HTML: 7
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

2300

PDF: 1655

APPENDIX: 646

HTML: 1046
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

3137

PDF: 1001

HTML: 890
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

2644

PDF: 1211

HTML: 1131
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

4512

PDF: 1587

HTML: 274
Epidemiological characteristics and determination of spatio-temporal clusters during the 2013 dengue outbreak in Chiang Mai, Thailand

Veerasak Punyapornwithaya, Chalutwan Sansamur, Arisara Charoenpanyanet

29-12-2020

https://doi.org/10.4081/gh.2020.857

1765

PDF: 802

HTML: 18
Province clustering based on the percentage of communicable disease using the BCBimax biclustering algorithm

Muhammad Nur Aidi, Cynthia Wulandari, Sachnaz Desta Oktarina, Taufiqur Rakhim Aditra, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Aya Yuriestia Arifin, Rita Marleta Dewi, Nazarina Nazaruddin, Salimar Salimar, Noviati Fuada, Yekti Widodo, Budi Setyawati, Nuzuliyati Nurhidayati, Sudikno Sudikno, Irlina Raswanti Irawan, Widoretno Widoretno

12-09-2023

https://doi.org/10.4081/gh.2023.1202

1814

PDF: 905

HTML: 116
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

4717

PDF: 1727

HTML: 2279
Spatial association and modelling of under-5 mortality in Thailand, 2020

Suparerk Suerungruang, Kittipong Sornlorm, Wongsa Laohasiriwong, Roshan Kumar Mahato

31-08-2023

https://doi.org/10.4081/gh.2023.1220

1602

PDF: 941

HTML: 51
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

6461

PDF: 1091

HTML: 1127
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

2240

PDF: 968

HTML: 94
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

1761

PDF: 458

HTML: 54
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

1113

PDF: 905

HTML: 20
Spatial correlates of COVID-19 first wave across continental Portugal

Bruno Barbosa, Melissa Silva, César Capinha, Ricardo A.C. Garcia, Jorge Rocha

23-06-2022

https://doi.org/10.4081/gh.2022.1073

1667

PDF: 582

HTML: 51
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

3096

PDF: 1149

Supplementary Materials: 277

HTML: 70
Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring

Jihong Zhang, Guohua Yin, Qiuhua Zhang, Juan Fang, Duo Jiang, Chao Yang, Na Sun

28-04-2025

https://doi.org/10.4081/gh.2025.1286

1457

PDF: 426

HTML: 94
Topographic distribution of gastritis in heavy pigs investigated by a geographic information system approach

Ernesto Pascotto, Diego Capraro, Paolo Tomè, Mauro Spanghero

31-05-2016

https://doi.org/10.4081/gh.2016.436

2131

PDF: 1059

HTML: 868
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

4675

PDF: 1403

HTML: 1080
Spatial comparison of herald and main waves in London's nineteenth-century cholera epidemics

Walter Peterson

19-10-2021

https://doi.org/10.4081/gh.2021.983

2165

PDF: 866

HTML: 53
Access to dialysis services: A systematic mapping review based on geographical information systems

Benyamin Hoseini, Nasser Bagheri, Behzad Kiani, Amirabbas Azizi, Hamed Tabesh, Mahmood Tara

07-05-2018

https://doi.org/10.4081/gh.2018.577

3969

PDF: 1610

HTML: 212
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

2591

PDF: 1169

APPENDIX: 387

HTML: 86
Evaluation and planning of Chagas control activities using geospatial tools

Diego Weinberg, Mario Lanfri, Carlos M. Scavuzzo, Marcelo Abril, Sofía Lanfri

06-11-2019

https://doi.org/10.4081/gh.2019.786

1666

PDF: 845

HTML: 42
Spatial-temporal analysis of prostate cancer incidence from the Pennsylvania Cancer Registry, 2000-2011

Ming Wang, Stephen A. Matthews, Khaled Iskandarani, Yimei Li, Zheng Li, Vernon M. Chinchilli, Lijun Zhang

28-11-2017

https://doi.org/10.4081/gh.2017.611

3743

PDF: 958

HTML: 729
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

3101

PDF: 1691

HTML: 4882
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

2449

PDF: 1035

APPENDIX: 458

HTML: 125
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

4278

PDF: 1894

APPENDIX 1: 460

APPENDIX 2: 488

HTML: 1648
Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis

Sang Min Lee, Dong Woo Huh, Young Gyu Kwon

11-03-2025

https://doi.org/10.4081/gh.2025.1295

2226

PDF: 713

Supplementary materials: 211

HTML: 116
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

2669

PDF: 1358

HTML: 1012
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

655

PDF: 348

HTML: 8
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

3094

PDF: 1394

HTML: 1205
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

2399

PDF: 1067

HTML: 187
Dynamic location model for designated COVID-19 hospitals in China

Wang Fei, Yuan Linghong, Zhang Weigang, Zhang Ruihan

29-10-2024

https://doi.org/10.4081/gh.2024.1310

1149

PDF: 394

Supplementary Materials: 272

HTML: 75
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

920

PDF: 826

HTML: 16
Spatial variations of COVID-19 risk by age in Toronto, Canada

Nushrat Nazia

20-07-2022

https://doi.org/10.4081/gh.2022.1100

1165

PDF: 510

Appendix: 186

HTML: 140
Mapping healthcare resources and regional mortality in Europe: a spatial study of current service coverage

Alicja Olejnik, Agata Żółtaszek

04-12-2025

https://doi.org/10.4081/gh.2025.1425

361

PDF: 210

Supplementary materials: 29

HTML: 22
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

6516

PDF: 2027

HTML: 2191
Spatial comparison of London’s three waves of Spanish flu

Walter Peterson

19-10-2023

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

1488

PDF: 706

HTML: 592
Future malaria spatial pattern based on the potential global warming impact in South and Southeast Asia

Hassan M. Khormi, Lalit Kumar

21-11-2016

https://doi.org/10.4081/gh.2016.416

5486

PDF: 2621

HTML: 1996
Evaluation of spatial cluster detection methods for dengue fever in the state of Paraiba, Brazil

Alline Oliveira do Nascimento Veloso, Leonardo Wanderley Lopes, Ronei Marcos de Moraes

27-10-2025

https://doi.org/10.4081/gh.2025.1393

582

PDF: 353

HTML: 36
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

4700

PDF: 1319

Appendix: 559

HTML: 1230
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

5456

PDF: 1941

HTML: 1906
Correlation analysis of air pollutant index levels and dengue cases across five different zones in Selangor, Malaysia

Loshini Thiruchelvam, Sarat C. Dass, Rafdzah Zaki, Abqariyah Yahya, Vijanth S. Asirvadam

07-05-2018

https://doi.org/10.4081/gh.2018.613

2330

PDF: 1329

HTML: 336
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

3938

PDF: 1854

HTML: 2189
One health review of recent Salmonella dynamics and human health outcomes in the United States

Geoffrey Kangogo, Lavanya Sankaran, Mitesh Rajpurohit, Kate E. Trout

11-12-2025

https://doi.org/10.4081/gh.2025.1416

794

PDF: 491

HTML: 60
Does mobility restriction significantly control infectious disease transmission? Accounting for non-stationarity in the impact of COVID-19 based on Bayesian spatially varying coefficient models

I Gede Nyoman Mindra Jaya, Anna Chadidjah, Farah Kristiani, Gumgum Darmawan, Jane Christine Princidy

25-05-2023

https://doi.org/10.4081/gh.2023.1161

1428

PDF: 590

HTML: 21
Monitoring techniques in the capture and adoption of dogs and cats

Jason Onell Ardila Galvis, Oswaldo Santos Baquero, Ricardo Augusto Dias, Fernando Ferreira, Evelyn Nestori Chiozzotto, José Henrique Hildebrand Grisi-Filho

04-11-2015

https://doi.org/10.4081/gh.2015.339

4243

PDF: 1881

HTML: 1487
Detection of spatial aggregation of cases of cancer from data on patients and health centres contained in the Minimum Basic Data Set

Pablo Fernández-Navarro, Jose-Miguel Sanz-Anquela, Angel Sánchez Pinilla, Rosario Arenas Mayorga, Carmen Salido-Campos, Gonzalo Lòpez-Abente

07-05-2018

https://doi.org/10.4081/gh.2018.616

1879

PDF: 953

SUPPLEMENTARY: 417

HTML: 140

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