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Dynamic effect of economic growth on the persistence of suicide rates

Tzu-Yi Yang, Yu-Tai Yang, Ssu-Han Chen, Yu-Ting Lan, Chia-Jui Peng

25-05-2023

https://doi.org/10.4081/gh.2023.1201

699

PDF: 485

HTML: 17
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

3803

PDF: 1356

HTML: 1054
Projecting malaria hazard from climate change in eastern Africa using large ensembles to estimate uncertainty

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

31-03-2016

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

4075

PDF: 1634

HTML: 2547
Assessing the effects of air temperature and rainfall on malaria incidence: an epidemiological study across Rwanda and Uganda

Felipe J. Colòn-González, Adrian M. Tompkins, Riccardo Biondi, Jean Pierre Bizimana, Didacus Bambaiha Namanya

31-03-2016

https://doi.org/10.4081/gh.2016.379

5969

PDF: 2143

Appendix: 560

HTML: 3242

Appendix: 211
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

4278

PDF: 1675

Appendix: 503

HTML: 1577
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

3700

PDF: 1690

HTML: 1269
Spatiotemporal heterogeneity of SARS-CoV-2 diffusion at the city level using geographically weighted Poisson regression model: The case of Bologna, Italy

Addisu Jember Zeleke, Rossella Miglio, Pierpaolo Palumbo, Paolo Tubertini, Lorenzo Chiari, Bologna MODELS4COVID Study Group of the University of Bologna and the National Institute for Nuclear Physics (INFN)

01-12-2022

https://doi.org/10.4081/gh.2022.1145

1446

PDF: 838

Appendix: 94

HTML: 68
Estimating small area health-related characteristics of populations: a methodological review

Azizur Rahman

08-05-2017

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

3990

PDF: 1740

HTML: 1346
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

3277

PDF: 1073

HTML: 817
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

1978

PDF: 1476

APPENDIX: 547

HTML: 1032
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

3517

PDF: 1464

SUPPL. MATERIAL: 408

HTML: 1078
Understanding the spatial non-stationarity in the relationships between malaria incidence and environmental risk factors using Geographically Weighted Random Forest: A case study in Rwanda

Gilbert Nduwayezu, Pengxiang Zhao, Clarisse Kagoyire, Lina Eklund, Jean Pierre Bizimana, Petter Pilesjo, Ali Mansourian

25-05-2023

https://doi.org/10.4081/gh.2023.1184

2297

PDF: 1268

HTML: 140
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

2976

PDF: 1307

HTML: 1426
Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases

Néstor DelaPaz-Ruíz, Ellen-Wien Augustijn, Mahdi Farnaghi, Sheheen A. Abdulkareem, Raul Zurita Milla

11-02-2025

https://doi.org/10.4081/gh.2025.1326

1882

PDF: 452

Supplementary Materials: 337

HTML: 204
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

1123

PDF: 441

HTML: 10
Mitigating infectious disease risks through non-stationary flood frequency analysis: a case study in Malaysia based on natural disaster reduction strategy

Nur Amalina Mat Jan, Muhammad Fadhil Marsani, Loshini Thiruchelvam, Nur Balqishanis Zainal Abidin, Ani Shabri, Sarah A'fifah Abdullah Sani

13-11-2023

https://doi.org/10.4081/gh.2023.1236

1229

PDF: 554

HTML: 23
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

2215

PDF: 1243

HTML: 2011
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

559

PDF: 137

HTML: 8
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

3044

PDF: 1322

HTML: 1218
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

2876

PDF: 1520

HTML: 4649
Geostatistical integration and uncertainty in pollutant concentration surface under preferential sampling

Laura Grisotto, Dario Consonni, Lorenzo Cecconi, Dolores Catelan, Corrado Lagazio, Pier Alberto Bertazzi, Michela Baccini, Annibale Biggeri

18-04-2016

https://doi.org/10.4081/gh.2016.426

2138

PDF: 1583

HTML: 1139
Childhood stunting in Indonesia: assessing the performance of Bayesian spatial conditional autoregressive models

Aswi Aswi, Septian Rahardiantoro, Anang Kurnia, Bagus Sartono , Dian Handayani, Nurwan Nurwan, Susanna Cramb

03-10-2024

https://doi.org/10.4081/gh.2024.1321

1282

PDF: 471

HTML: 84
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

3379

PDF: 1220

HTML: 140
Modelling geographical heterogeneity of diabetes prevalence and socio-economic and built environment determinants in Saudi City - Jeddah

Abdulkader Murad, Fazlay Faruque, Ammar Naji, Alok Tiwari, Mansour Helmi, Ammar Dahlan

16-05-2022

https://doi.org/10.4081/gh.2022.1072

1716

PDF: 809

HTML: 133
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

3386

PDF: 1687

HTML: 2223
Migration statistics relevant for malaria transmission in Senegal derived from mobile phone data and used in an agent-based migration model

Adrian M. Tompkins, Nicky McCreesh

31-03-2016

https://doi.org/10.4081/gh.2016.408

3330

PDF: 1286

HTML: 995
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

3121

PDF: 981

HTML: 1457
Use of an ecologically relevant modelling approach to improve remote sensing-based schistosomiasis risk profiling

Yvonne Walz, Martin Wegmann, Benjamin Leutner, Stefan Dech, Penelope Vounatsou, Eliézer K. N'Goran, Giovanna Raso, Jürg Utzinger

30-11-2015

https://doi.org/10.4081/gh.2015.398

4160

PDF: 1140

HTML: 1197
A two-stage location model covering COVID-19 sampling, transport and DNA diagnosis: design of a national scheme for infection control

Wang Fei, Lv Jiamin, Wang Chunting, Li Yuling, Xi Yuetuing

26-09-2024

https://doi.org/10.4081/gh.2024.1281

941

PDF: 334

HTML: 75
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

3874

PDF: 1142

Appendix: 489

HTML: 1211
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach

Mokhalad A. Majeed, Helmi Z. M. Shafri, Aimrun Wayayok, Zed Zulkafli

25-05-2023

https://doi.org/10.4081/gh.2023.1176

1795

PDF: 885

Supplementary Materials: 126

HTML: 40
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

156

PDF: 125

HTML: 0
Spatiotemporal analysis of hand, foot and mouth disease data using time-lag geographically-weighted regression

Zhi-Min Hong, Hu-Hu Wang, Yan-Juan Wang, Wen-Rui Wang

29-12-2020

https://doi.org/10.4081/gh.2020.849

1706

PDF: 771

HTML: 25
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

3463

PDF: 1484

HTML: 1178
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

4053

PDF: 2149

HTML: 2155
Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning

Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini, Elahe Pishgar, Robert Bergquist

26-03-2025

https://doi.org/10.4081/gh.2025.1319

1722

PDF: 324

HTML: 73
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

3568

PDF: 1626

HTML: 2153
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

2603

PDF: 812

HTML: 758
Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data

Su Yun Kang, Susanna M. Cramb, Nicole M. White, Stephen J. Ball, Kerrie L. Mengersen

31-05-2016

https://doi.org/10.4081/gh.2016.428

6854

PDF: 2346

APPENDIX: 1097

HTML: 5140
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

1980

PDF: 1072

HTML: 1118
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

6093

PDF: 1819

HTML: 2147
Spatial Bayesian semi-parametric Cox-Leroux modelling of stroke patient hospitalization: aspects on survival

Aswi Aswi, Bobby Poerwanto, Nurussyariah Hammado, Nurwan Nurwan, Oktaviana Oktaviana, Siti Djawijah, Susanna Cramb

21-07-2025

https://doi.org/10.4081/gh.2025.1380

163

PDF: 56

HTML: 0
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

2159

PDF: 1354

HTML: 256
Spatial association of public sports facilities with body mass index in Korea

Eun Jin Han, Kiyeon Kang, So Young Sohn

07-05-2018

https://doi.org/10.4081/gh.2018.542

2195

PDF: 938

HTML: 87
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

1243

PDF: 412

HTML: 42
Spatial multilevel modelling male partners’ influence on women’s modern contraceptive use: a study in Angola and Zambia

Kabeya Clement Mulamba

12-05-2025

https://doi.org/10.4081/gh.2025.1340

847

PDF: 172

HTML: 47
Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020

Gerardo Núñez Medina

17-05-2022

https://doi.org/10.4081/gh.2022.1080

1027

PDF: 528

HTML: 107
Climate impact on malaria in northern Burkina Faso

Yves M. Tourre, Cécile Vignolles, Christian Viel, Flore Mounier

27-11-2017

https://doi.org/10.4081/gh.2017.600

2478

PDF: 817

HTML: 726
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

3864

PDF: 1582

APPENDIX 1: 428

APPENDIX 2: 419

HTML: 1639
Performance of a negative binomial-GLM in spatial scan statistic: a case study of low-birth weights in Pakistan

Sami Ullah, Mushtaq Ahmad Khan Barakzai, Tianfa Xie

03-09-2024

https://doi.org/10.4081/gh.2024.1313

1051

PDF: 462

HTML: 96
Assessing spatial inequalities in accessing community pharmacies: a mixed geographically weighted approach

Alexander Domnich, Lucia Arata, Daniela Amicizia, Alessio Signori, Roberto Gasparini, Donatella Panatto

16-11-2016

https://doi.org/10.4081/gh.2016.457

3062

PDF: 1475

HTML: 1304
A review of spatial technologies with applications for malaria transmission modelling and control in Africa

Michael T. Gebreslasie

26-11-2015

https://doi.org/10.4081/gh.2015.328

5902

PDF: 2408

HTML: 3073
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

2237

PDF: 618

HTML: 885
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

3746

PDF: 1356

HTML: 1132
Associations between seasonal influenza and meteorological parameters in Costa Rica, Honduras and Nicaragua

Radina P. Soebiyanto, Wilfrido A. Clara, Jorge Jara, Angel Balmaseda, Jenny Lara, Mariel Lopez Moya, Rakhee Palekar, Marc-Alain Widdowson, Eduardo Azziz-Baumgartner, Richard K. Kiang

04-11-2015

https://doi.org/10.4081/gh.2015.372

4235

PDF: 1388

HTML: 1161
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

1241

PDF: 719

HTML: 43
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

1957

PDF: 814

HTML: 80
The spatial distribution of injuries in need of surgical intervention in Nepal

Shailvi Gupta, Thomas A. Groen, Barclay T. Stewart, Sunil Shrestha, David A. Spiegel, Benedict C. Nwomeh, Reinou S. Groen, Adam L. Kushner

31-05-2016

https://doi.org/10.4081/gh.2016.359

3358

PDF: 1174

HTML: 1103
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

5149

PDF: 2354

HTML: 1979
Health, environmental change and adaptive capacity; mapping, examining and anticipating future risks of water-related vector-borne diseases in eastern Africa

David Taylor, Stefan Kienberger, Jack B. Malone, Adrian M. Tompkins

18-02-2016

https://doi.org/10.4081/gh.2016.464

3374

PDF: 1515

HTML: 1100
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

1038

PDF: 483

Supplementary materials: 137

HTML: 11
Spatial analysis of incidence of cutaneous melanoma in the Friuli Venezia Giulia region in the period 1995-2005

Lorenzo Cecconi, Anna Busolin, Fabio Barbone, Diego Serraino, Alessandra Chiarugi, Annibale Biggeri, Dolores Catelan

18-04-2016

https://doi.org/10.4081/gh.2016.422

2315

PDF: 1533

HTML: 964
Spatial heterogeneity of quality, use and spending on medicare for the elderly

Felipa de Mello-Sampayo

07-05-2018

https://doi.org/10.4081/gh.2018.655

1894

PDF: 773

HTML: 107
Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions

Lucy Chimoyi, Zvifadzo Matsena-Zingoni, Salome Charalambous, Edmore Marinda, Samuel Manda, Eustasius Musenge

29-08-2022

https://doi.org/10.4081/gh.2022.1084

1949

PDF: 484

Supplementary 1: 99

Supplementary 2: 246

HTML: 145
How much incident lung cancer was missed globally in 2012? An ecological country-level study

Benn Sartorius, Kurt Sartorius

31-05-2016

https://doi.org/10.4081/gh.2016.396

2418

PDF: 1239

HTML: 1025
The spatiotemporal dynamics and structural covariates of homicide in the Republic of Korea, 2008-2017: A dynamic spatial panel data approach

Yunho Yeom, Jaehun Choi

09-05-2022

https://doi.org/10.4081/gh.2022.1040

830

PDF: 536

HTML: 32
Disparities in COVID-19 health outcomes among different sub-immigrant groups in the US - a study based on the spatial Durbin model

Jihoon Jung, Yoonjung Ahn, Joseph Bommarito

18-03-2022

https://doi.org/10.4081/gh.2022.1064

1348

PDF: 315

Appendix: 250

HTML: 8
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

803

PDF: 219

HTML: 11
Child mortality inequalities across Rwanda districts: a geoadditive continuous-time survival analysis

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

11-05-2017

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

2912

PDF: 1533

HTML: 1380
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

2406

PDF: 750

HTML: 742
Effects of geographical factors on reference values of the thyroid stimulating hormone in healthy adults in China and its clinical significance

Xinrui Pang, Miao Ge, Congxia Wang, Jinwei He

06-05-2022

https://doi.org/10.4081/gh.2022.1030

1029

PDF: 451

HTML: 223
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

2348

PDF: 527

HTML: 76
Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance

Amanda G. Carvalho, Carolina Lorraine H. Dias, David J. Blok, Eliane Ignotti, João Gabriel G. Luz

06-10-2023

https://doi.org/10.4081/gh.2023.1227

1139

PDF: 550

Supplementary Materials: 67

HTML: 12
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

2157

PDF: 682

Supplementary Materials: 107

HTML: 192
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

1054

PDF: 574

HTML: 53
Estimating malaria burden in Nigeria: a geostatistical modelling approach

Nnadozie Onyiri

04-11-2015

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

7053

PDF: 2908

HTML: 3250
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

858

PDF: 622

HTML: 20
Spatial analysis of stunting determinants in 514 Indonesian districts/cities: Implications for intervention and setting of priority

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

17-05-2022

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

3110

PDF: 1824

HTML: 92
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

1974

PDF: 560

HTML: 99
Application of decision tree for prediction of cutaneous leishmaniasis incidence based on environmental and topographic factors in Isfahan Province, Iran

Roghieh Ramezankhani, Nooshin Sajjadi, Roya Nezakati Esmaeilzadeh, Seyed Ali Jozi, Mohammad Reza Shirzadi

08-05-2018

https://doi.org/10.4081/gh.2018.664

1633

PDF: 805

HTML: 158
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

1720

PDF: 412

Supplementary materials: 148

HTML: 91
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

3517

PDF: 2047

HTML: 1261
Air quality classification and its temporal trend in Tehran, Iran, 2002-2012

Raheleh Saniei, Ali Zangiabadi, Mohammad Sharifikia, Yousef Ghavidel

31-05-2016

https://doi.org/10.4081/gh.2016.442

4499

PDF: 1359

HTML: 2572
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

1763

PDF: 713

Supplementary Materials: 93

HTML: 37
The spatial distribution of Schistosoma mansoni infection in four regions of western Côte d'Ivoire

Rufin K. Assaré, Ying-Si Lai, Ahoua Yapi, Yves-Nathan T. Tian-Bi, Mamadou Ouattara, Patrick K. Yao, Stefanie Knopp, Penelope Vounatsou, Jürg Utzinger, Eliézer K. N'Goran

03-06-2015

https://doi.org/10.4081/gh.2015.345

3925

PDF: 1650

HTML: 1231
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

3390

PDF: 1149

APPENDIX: 375

HTML: 839
Spatial distribution and sociodemographic risk factors of malaria in Nigerian children less than 5 years old

Chigozie Louisa J. Ugwu, Temesgen Zewotir

29-12-2020

https://doi.org/10.4081/gh.2020.819

3318

PDF: 1624

HTML: 636
Spatial analysis of the relationship between out-of-pocket expenditure and socioeconomic status in South Korea

Young-Gyu Kwon, Man-Kyu Choi

25-05-2023

https://doi.org/10.4081/gh.2023.1175

1137

PDF: 609

HTML: 28
Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes

Verónica Andreo, Juan Rosa, Karina Ramos, O. Daniel Salomón

06-05-2022

https://doi.org/10.4081/gh.2022.1033

1502

PDF: 736

Appendix: 116

HTML: 30
Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate

I Gede Nyoman Mindra Jaya, Yudhie Andriyana, Bertho Tantular

22-03-2022

https://doi.org/10.4081/gh.2022.1070

1250

PDF: 388

HTML: 32
Revealed access to haemodialysis facilities in northeastern Iran: Factors that matter in rural and urban areas

Behzad Kiani, Nasser Bagheri, Ahmad Tara, Benyamin Hoseini, Hamed Tabesh, Mahmood Tara

07-11-2017

https://doi.org/10.4081/gh.2017.584

2930

PDF: 733

HTML: 654
Evaluation and control strategy analysis of influenza cases in Jiujiang City, Jiangxi Province, China from 2018 to 2022

Zhang Zeng, Huomei Xiong

09-10-2024

https://doi.org/10.4081/gh.2024.1294

700

PDF: 307

HTML: 73
Spatial distribution and identifying biochemical factors affecting haemoglobin levels among women of reproductive age for each province in Indonesia: A geospatial analysis

Muhammad Nur Aidi, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Anwar Fitrianto, Khalilah Nurfadilah, Aya Yuriestia Arifin

30-11-2022

https://doi.org/10.4081/gh.2022.1118

1842

PDF: 854

HTML: 56
Human infections and co-infections with helminths in a rural population in Guichi, Anhui Province, China

Yi Hu, Rui Li, Michael P. Ward, Yue Chen, Henry Lynn, Decheng Wang, Gengxin Chen, Zonggui He, Liqian Sun, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang

04-11-2015

https://doi.org/10.4081/gh.2015.374

2261

PDF: 1162

HTML: 968
The influence of socioeconomic deprivation, access to healthcare and physical environment on old-age survival in Portugal

Ana Isabel Ribeiro, Elias Teixeira Krainski, Marilia Sá Carvalho, Maria de Fátima de Pina

07-11-2017

https://doi.org/10.4081/gh.2017.581

3367

PDF: 1113

HTML: 847
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

1336

PDF: 519

HTML: 31
Geographic distribution and demographic factors associated with use of a long-acting reversible contraceptive (LARC) in Ethiopia

Mintesnot Tenkir Teni, Travis Loux, Ness Sandoval, Anne Sebert Kuhlmann

23-01-2025

https://doi.org/10.4081/gh.2025.1302

3300

PDF: 1196

HTML: 1139
Healthcare-seeking behavior and spatial variation of internal migrants with chronic diseases: a nationwide empirical study in China

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

28-05-2024

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

2286

PDF: 567

HTML: 54
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

2496

PDF: 1179

APPENDIX: 404

HTML: 1128
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

6010

PDF: 808

HTML: 930

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