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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

3074

PDF: 1345

HTML: 1219
Understanding the relationship between land use and land cover and malaria in Nepal

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

29-12-2020

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

1863

PDF: 839

HTML: 29
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

694

PDF: 242

HTML: 24
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

1092

PDF: 488

HTML: 101
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

4011

PDF: 1892

HTML: 471
Associations between rocky mountain spotted fever and veterinary care access, climatic factors and landscape in the State of Arizona, USA

Yan Lin, Al Ekram Elahee Hridoy , Meifang Li, Zhe Wang, Li Luo, Xiaogang Ma, Zhuoming Liu, Murphy John, Chao Fan, Irene Ruberto, Xi Gong, Xun Shi

17-07-2025

https://doi.org/10.4081/gh.2025.1390

532

PDF: 220

Supplementary Materials: 37

HTML: 24
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

3163

PDF: 1005

HTML: 1457
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

4104

PDF: 2186

HTML: 2164
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

3331

PDF: 1095

HTML: 818
Identification and mapping of objects targeted for surveillance and their role as risk factors for brucellosis in livestock farms in Kazakhstan

Aizada A. Mukhanbetkaliyeva, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Zhanat S. Adilbekov, Assylbek A. Zhanabayev, Assem Z. Abenova, Fedor I. Korennoy, Sarsenbay K. Abdrakhmanov

08-11-2024

https://doi.org/10.4081/gh.2024.1335

1248

PDF: 384

HTML: 48
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

3942

PDF: 1868

HTML: 1483
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

2009

PDF: 847

HTML: 81
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

1329

PDF: 427

HTML: 32
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

1614

PDF: 948
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

566

PDF: 269

HTML: 22
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

1167

PDF: 201

HTML: 48
Estimating malaria burden in Nigeria: a geostatistical modelling approach

Nnadozie Onyiri

04-11-2015

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

7122

PDF: 2974

HTML: 3252
Diagnostic approaches to malaria in Zambia, 2009-2014

Victor M. Mukonka, Emmanuel Chanda, Mulakwa Kamuliwo, Maha A. Elbadry, Pauline K. Wamulume, Mercy Mwanza-Ingwe, Jailos Lubinda, Lindsey A. Laytner, Wenyi Zhang, Gabriel Mushinge, Ubydul Haque

03-06-2015

https://doi.org/10.4081/gh.2015.330

3438

PDF: 1321

HTML: 1161
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

3431

PDF: 1733

HTML: 2225
Modelling count data with an excess of zero values applied to childhood bone tumour incidence in Iraq

Muzahem Mohammed Al-Hashimi, Hasmek Antranik Warttan

12-03-2021

https://doi.org/10.4081/gh.2021.873

1914

PDF: 597

HTML: 117
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

3422

PDF: 1176

HTML: 849

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