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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

2573

PDF: 1369

HTML: 988
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

3326

PDF: 1326

HTML: 1096
Comparison of data-fitting models for schistosomiasis: a case study in Xingzi, China

Yi Hu, Cheng-Long Xiong, Zhi-Jie Zhang, Robert Bergquist, Zeng-Liang Wang, Jie Gao, Rui Li, Bo Tao, Qiu-Lin Jiang, Qingwu Jiang

125-132

01-11-2013

https://doi.org/10.4081/gh.2013.60

2988

PDF: 1198
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

799

PDF: 499

Supplementary materials: 80

HTML: 19
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

2669

PDF: 772

Supplementary Materials: 421

HTML: 224
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

1616

PDF: 1032

HTML: 167
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

1722

PDF: 738

HTML: 44
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

3495

PDF: 742

HTML: 128
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

4181

PDF: 1636

HTML: 1151
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

4554

PDF: 2394

HTML: 2225
Modeling the distribution of Culex tritaeniorhynchus to predict Japanese encephalitis distribution in the Republic of Korea

Penny Masuoka, Terry A. Klein, Heung-Chul Kim, David M. Claborn, Nicole Achee, Richard Andre, Judith Chamberlin, Jennifer Small, Assaf Anyamba, Dong-Kyu Lee, Suk H. Yi, Michael Sardelis, Young-Ran Ju, John Grieco

45-57

01-11-2010

https://doi.org/10.4081/gh.2010.186

3619

PDF: 1817
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

4473

PDF: 1733

HTML: 1072
Mapping and predicting malaria transmission in the People's Republic of China, using integrated biology-driven and statistical models

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

11-22

01-11-2010

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

3533

PDF: 1861
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

3615

PDF: 1837
Redefining climate regions in the United States of America using satellite remote sensing and machine learning for public health applications

Alexander Liss, Magaly Koch, Elena N. Naumova

S467-S659

01-12-2014

https://doi.org/10.4081/gh.2014.294

3410

PDF: 1559
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

2229

PDF: 1007

Supplementary Materials: 189

HTML: 74
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

1969

PDF: 1119

Appendix: 215

HTML: 42
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

1163

PDF: 543

Supplementary materials: 105

HTML: 26
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

3596

PDF: 1876

HTML: 224
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

1814

PDF: 1090

HTML: 68
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

4174

PDF: 1635

HTML: 219
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

3879

PDF: 2016

HTML: 2265
Spatial epidemiology of cancer: a review of data sources, methods and risk factors

Rita Roquette, Marco Painho, Baltazar Nunes

08-05-2017

https://doi.org/10.4081/gh.2017.504

8720

PDF: 3655

HTML: 2723
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

1096

PDF: 485

HTML: 47
A Bayesian spatial ecological analysis of social conditions, infection burden and COVID-19 mortality across mainland Scottish councils 2020-2021

Zhiyuan Luo, Yancheng Liu, Wenqi Xu

10-06-2026

https://doi.org/10.4081/gh.2026.1477

373

PDF: 207

Supplementary Materials: 46

HTML: 8
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

4345

PDF: 1731

APPENDIX: 588

HTML: 1545
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

2621

PDF: 1047

HTML: 149
GIS modeling for canine dirofilariosis risk assessment in central Italy

Michele Mortarino, Vincenzo Musella, Valeria Costa, Claudio Genchi, Giuseppe Cringoli, Laura Rinaldi

253-261

01-05-2008

https://doi.org/10.4081/gh.2008.248

2379

PDF: 1054
The influence of urban heat islands and socioeconomic factors on the spatial distribution of Aedes aegypti larval habitats

Thiago S. de Azevedo, Brian Patrick Bourke, Rafael Piovezan, Maria Anice M. Sallum

08-05-2018

https://doi.org/10.4081/gh.2018.623

3299

PDF: 1590

HTML: 599
Zoning the territory of the Republic of Kazakhstan as to the risk of rabies among various categories of animals

Sarsenbay K. Abdrakhmanov, Akhmetzhan A. Sultanov, Kanatzhan K. Beisembayev, Fedor I. Korennoy, Dosym B. Ðšushubaev, Ablaikhan S. ÐšÐ°dyrov

31-05-2016

https://doi.org/10.4081/gh.2016.429

2960

PDF: 1517

APPENDIX: 761

HTML: 1514
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

3964

PDF: 1878

SUPPL. MATERIAL: 488

HTML: 1091
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

2854

PDF: 1208
A spatial analysis of mental retardation of unknown cause and maternal residence during pregnancy

Huiling Zhen, Andrew B. Lawson, Suzanne McDermott, Archana Pande Lamichhane, Marjorie Aelion

173-182

01-05-2008

https://doi.org/10.4081/gh.2008.241

1594

PDF: 846
A breeding site model for regional, dynamical malaria simulations evaluated using in situ temporary ponds observations

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

31-03-2016

https://doi.org/10.4081/gh.2016.390

2999

PDF: 1477

HTML: 1158
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

4131

PDF: 1915

HTML: 798
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

7623

PDF: 2649

APPENDIX: 1218

HTML: 5553
Comparing conditional autoregressive models for Bayesian spatial mapping of dengue cases in Indonesia

Ferra Yanuar, Yudiantri Asdi, Aidinil Zetra, Sofiana Wudlu, Fenni Kurnia Mutiya, Rahmawita Rahmawita

18-06-2026

https://doi.org/10.4081/gh.2026.1443

273

PDF: 355

HTML: 3
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

1920

PDF: 889

HTML: 87
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

4723

PDF: 1446

HTML: 282
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

3460

PDF: 1125

Supplementary Materials: 189

HTML: 256
Revealing spatio-temporal patterns of rabies spread among various categories of animals in the Republic of Kazakhstan, 2010-2013

Sarsenbay K. Abdrakhmanov, Kanatzhan K. Beisembayev, Fedor I. Ðšorennoy, Gulzhan N. Yessembekova, Dosym B. Ðšushubaev, Ablaikhan S. Ðšadyrov

31-05-2016

https://doi.org/10.4081/gh.2016.455

2578

PDF: 1353

HTML: 1303
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

1331

PDF: 478

Supplementary Materials: 300

HTML: 82
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

5622

PDF: 2749

HTML: 2002
Analytical report of the 2016 dengue outbreak in CÃ³rdoba city, Argentina

Camilo Rotela, Laura Lopez, María Frías Céspedes, Gabriela Barbas, Andrés Lighezzolo, Ximena Porcasi, Mario A. Lanfri, Carlos M. Scavuzzo, David E. Gorla

06-11-2017

https://doi.org/10.4081/gh.2017.564

3631

PDF: 1467

HTML: 869
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

5021

PDF: 2201

Appendix: 615

HTML: 1602
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

1535

PDF: 674

HTML: 47
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

1440

PDF: 594

HTML: 82
Reducing bias in risk indices for COVID-19

Michał Paweł Michalak, Jack Cordes, Agnieszka Kulawik, Sławomir Sitek, Sławomir Pytel, Elżbieta Zuzańska-Żyśko, Radosław Wieczorek

14-01-2022

https://doi.org/10.4081/gh.2022.1013

3205

PDF: 661

Appendix: 478

HTML: 42
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

3214

PDF: 1785

HTML: 4972
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

3277

PDF: 1015

HTML: 127
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

2538

PDF: 1965

HTML: 1149
Prioritizing the location of vaccination centres during the COVID-19 pandemic by bike in the Netherlands

Adel Al-Huraibi, Sherif Amer, Justine Blanford

03-03-2025

https://doi.org/10.4081/gh.2025.1293

2410

PDF: 809

HTML: 90
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

2163

PDF: 1010

HTML: 43
Modelling homogeneous regions of social vulnerability to malaria in Rwanda

Jean Pierre Bizimana, Stefan Kienberger, Michael Hagenlocher, Emmanuel Twarabamenye

31-03-2016

https://doi.org/10.4081/gh.2016.404

4012

PDF: 1980

HTML: 2264
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

1012

PDF: 770

HTML: 120
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

3297

PDF: 1593

HTML: 206
The effects of population mobility on Chinese HIV epidemics in spill-over and influx risks perspectives: a spatial epidemiology analysis

Yazhen Zhang, Hui Jin

08-09-2025

https://doi.org/10.4081/gh.2025.1384

946

PDF: 536

Supplementary materials: 108

HTML: 43
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

1708

PDF: 718

HTML: 43
Space-time epidemiology and effect of meteorological parameters on influenza-like illness in Phitsanulok, a northern province in Thailand

Prakash Madhav Nimbalkar, Nitin Kumar Tripathi

21-11-2016

https://doi.org/10.4081/gh.2016.447

2569

PDF: 1482

HTML: 1161
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

4954

PDF: 1390

Appendix: 606

HTML: 1234
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

1954

PDF: 817

HTML: 85
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

3735

PDF: 1242

HTML: 831
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

6683

PDF: 2135

HTML: 2213
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

6677

PDF: 2477

Appendix: 666

HTML: 3373

Appendix: 281
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

1413

PDF: 698

HTML: 65
Spatial accessibility to basic public health services in South Sudan

Peter M. Macharia, Paul O. Ouma, Ezekiel G. Gogo, Robert W. Snow, Abdisalan M. Noor

11-05-2017

https://doi.org/10.4081/gh.2017.510

9525

PDF: 3038

APPENDIX: 7630

HTML: 1179
A spatiotemporal analysis of the social determinants of health for COVID-19

Claire Bonzani, Peter Scull, Daisaku Yamamoto

25-05-2023

https://doi.org/10.4081/gh.2023.1153

2295

PDF: 1040

HTML: 50
Meteorological, environmental remote sensing and neural network analysis of the epidemiology of malaria transmission in Thailand

Richard Kiang, Farida Adimi, Valerii Soika, Joseph Nigro, Pratap Singhasivanon, Jeeraphat Sirichaisinthop, Somjai Leemingsawat, Chamnarn Apiwathnasorn, Sornchai Looareesuwan

71-84

01-11-2006

https://doi.org/10.4081/gh.2006.282

3600

PDF: 1899
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

3433

PDF: 1575

HTML: 1494
Evaluation of the spatial patterns and risk factors, including backyard pigs, for classical swine fever occurrence in Bulgaria using a Bayesian model

Beatriz Martínez-Lòpez, Tsviatko Alexandrov, Lina Mur, Fernando Sánchez-Vizcaíno, José M. Sánchez-Vizcaíno

489-501

01-05-2014

https://doi.org/10.4081/gh.2014.38

2485

PDF: 1372
Spatial risk of hypertension in rural China: modelling the effect of dietary, behavioural and climate factors

Jie Wang, Enwei Zhang, Kun Yang

23-07-2026

https://doi.org/10.4081/gh.2026.1498

268

PDF: 141

HTML: 1
Modelling and analyzing spatial clusters of leptospirosis based on satellite-generated measurements of environmental factors in Thailand during 2013-2015

Amornrat Luenam, Nattapong Puttanapong

26-11-2020

https://doi.org/10.4081/gh.2020.856

3786

PDF: 1342

HTML: 77
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

4414

PDF: 1995

HTML: 1286
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

2107

PDF: 832

HTML: 147
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

1443

PDF: 688

Supplementary Materials: 237

HTML: 86
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

3624

PDF: 1944

HTML: 1338
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

1390

PDF: 735

HTML: 171
Modelling of the distribution of Biomphalaria glabrata and Biomphalaria straminea in the metropolitan region of Recife, Pernambuco, Brazil

Verônica Santos Barbosa, Ricardo José de Paula Souza e Guimarães, Rodrigo Moraes Loyo, Constança SimÃµes Barbosa

25-11-2016

https://doi.org/10.4081/gh.2016.490

3352

PDF: 1476

HTML: 1630
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

2869

PDF: 1591
The spatial distribution pattern of human immunodeficiency virus/acquired immune deficiency syndrome in China

Ying Wang, Yongli Yang, Xuezhong Shi, Saicai Mao, Nian Shi, Xiaoqing Hui

31-05-2016

https://doi.org/10.4081/gh.2016.414

4475

PDF: 1943

HTML: 2278
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