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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

3344

PDF: 1047

HTML: 847
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

3029

PDF: 1284

HTML: 1218
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

840

PDF: 200

Supplementary Materials: 96

HTML: 62
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

1211

PDF: 383

HTML: 41
A preliminary spatial-temporal study of some soil characteristics in the calcareous massif of SicÃ³, Portugal

Maria Odete Torres, Maria Manuela Neves

18-04-2016

https://doi.org/10.4081/gh.2016.342

1664

PDF: 827

HTML: 923

Fig. 1: 238

Fig. 2: 233

Fig. 3: 240

Fig. 4: 203

Fig. 5: 222

Short Communication: 272
Making regional facility location decisions: the example of Hospital do Oeste Norte, Portugal

Jorge Gonçalves, J. Antunes Ferreira, Beatriz Condessa

1-6

01-11-2014

https://doi.org/10.4081/gh.2014.1

2877

PDF: 1218
Global spreading of Omicron variant of COVID-19

Pengxin Zhang, Shuhan Yang, Shaoqing Dai, Darren How Jin Aik, Shujuan Yang, Peng Jia

13-07-2022

https://doi.org/10.4081/gh.2022.1083

1545

PDF: 646

HTML: 45
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

7572

PDF: 3068

HTML: 2648
A geographically weighted regression approach to investigate air pollution effect on lung cancer: A case study in Portugal

Diogo Cardoso, Marco Painho, Rita Roquette

13-05-2019

https://doi.org/10.4081/gh.2019.701

3546

PDF: 1637

APPENDIX: 324

HTML: 216
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

1923

PDF: 540

HTML: 239
A topological multilayer model of the human body

Antonio Barbeito, Marco Painho, Pedro Cabral, João O'Neill

04-11-2015

https://doi.org/10.4081/gh.2015.375

3025

PDF: 1047

HTML: 1549
Designing a model to minimize inequities in hemodialysis facilities distribution

Teresa M. Salgado, Rebekah Moles, Shalom I. Benrimoj, Fernando Fernandez-Llimos

5-12

01-11-2011

https://doi.org/10.4081/gh.2011.152

1344

PDF: 748
Present habitat suitability for Anopheles atroparvus (Diptera, Culicidae) and its coincidence with former malaria areas in mainland Portugal

César Capinha, Eduardo Gomes, Eusébio Reis, Jorge Rocha, Carla A. Sousa, V. E. do Rosário, A. Paulo Almeida

177-187

01-05-2009

https://doi.org/10.4081/gh.2009.219

32507

PDF: 864
The dog and cat population on Maio Island, Cape Verde: characterisation and prediction based on household survey and remotely sensed imagery

Ana Carolina Lopes Antunes, Els Ducheyne, Ward Bryssinckx, Sara Vieira, Manuel Malta, Yolanda Vaz, Telmo Nunes, Koen Mintiens

04-11-2015

https://doi.org/10.4081/gh.2015.386

2930

PDF: 995

HTML: 1200
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

4154

PDF: 1477

HTML: 2238
Modelling youth pregnancy in continental Portugal through geographically weighted regression

João David, Pedro Cabral

14-05-2019

https://doi.org/10.4081/gh.2019.680

1720

PDF: 838

APPENDIX: 280

HTML: 114
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

1888

PDF: 743

HTML: 106
Temporal and spatial analyses of colorectal cancer incidence in Yogyakarta, Indonesia: a cross-sectional study

Juan Adrian Wiranata, Herindita Puspitaningtyas, Susanna Hilda Hutajulu, Jajah Fachiroh, Nungki Anggorowati, Guardian Yoki Sanjaya, Lutfan Lazuardi, Patumrat Sripan

25-05-2023

https://doi.org/10.4081/gh.2023.1186

1361

PDF: 748

HTML: 29
Differences in spatial patterns of long-term care depending on severity in Hokkaido, Japan

Kazuki Ohashi, Kensuke Fujiwara, Takumi Tanikawa, Kyohei Bando, Tomohiro Aoki, Katsuhiko Ogasawara

16-05-2022

https://doi.org/10.4081/gh.2022.1077

1259

PDF: 517

HTML: 27
Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events

Susan Maroney, MaryJane McCool-Eye, Andrew Fox, Christopher Burdett

10-12-2020

https://doi.org/10.4081/gh.2020.919

2342

PDF: 746

HTML: 98
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

1700

PDF: 779

HTML: 129
Spatial patterns of the total mortality over the first 24 hours of life and that due to preventable causes

Aline Beatriz dos Santos Silva, Ana Catarina de Melo Araújo, Amanda Priscila de Santana Cabral Silva, Mirella Bezerra Rodrigues Vilela, Cristine Vieira do Bonfim

17-05-2022

https://doi.org/10.4081/gh.2022.1051

938

PDF: 424

Appendix: 96

HTML: 18
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

1971

PDF: 1011

HTML: 1118
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

2582

PDF: 1007

HTML: 274
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

2741

PDF: 1252

HTML: 1673
Spatio-temporal statistics: applications in epidemiology, veterinary medicine and ecology

Annibale Biggeri, Dolores Catelan, David Conesa, Penelope Vounatsou

18-04-2016

https://doi.org/10.4081/gh.2016.469

2182

PDF: 1303

HTML: 918
Variability of nutrients intake, lipid profile and cardiovascular mortality among geographical areas in Spain: The DRECE study

Agustín Gòmez de la Cámara, Eva de Andrés Esteban, Gerard Urrútia Cuchí, Enrique Calderòn Sandubete, Miguel Ángel Rubio Herrera, Miguel Menéndez Orenga, David Lora Pablos

07-11-2017

https://doi.org/10.4081/gh.2017.524

1971

PDF: 752

HTML: 689
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

1403

PDF: 815

Appendix: 83

HTML: 68
A geographical information system model to define COVID-19 problem areas with an analysis in the socio-economic context at the regional scale in the North of Spain

Olga De Cos, Valentín Castillo-Salcines, David Cantarero-Prieto

18-03-2022

https://doi.org/10.4081/gh.2022.1067

1446

PDF: 424

HTML: 34

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