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Evaluating web-based static, animated and interactive maps for injury prevention

Jonathan Cinnamon, Claus Rinner, Michael D. Cusimano, Sean Marshall, Tsegaye Bekele, Tony Hernandez, Richard H. Glazier, Mary L. Chipman

3-16

01-11-2009

https://doi.org/10.4081/gh.2009.206

2915

PDF: 1422
Clustering of disability caused by unintentional injury among 15- to 60-year-old: a challenge in rapidly developing countries

Yi-Lan Liao, Jin-Feng Wang, Gong Chen, Wei Du, Xin-Ming Song, Xiao Yun, Xiao-Ying Zheng

13-22

01-11-2013

https://doi.org/10.4081/gh.2013.50

1948

PDF: 1023
Socioeconomic status and deaths due to unintentional injury among children: A socio-spatial analysis in Taiwan

An-Kuo Chou, Duan-Rung Chen

13-05-2019

https://doi.org/10.4081/gh.2019.736

2851

PDF: 1423

APPENDIX: 341

HTML: 125
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

3620

PDF: 1308

HTML: 1112
The geographic environment and the frequency of falling: a study of mortality outcomes in elderly people in China

Yi Huang, Chen Li, Xianjing Lu, Yue Wang

25-05-2023

https://doi.org/10.4081/gh.2023.1180

1013

PDF: 600

HTML: 19
COVID-19, air quality and space monitoring

Yves M. Tourre, Mireille Paulin, Gilles Dhonneur, David Attias, Atul Pathak

06-04-2022

https://doi.org/10.4081/gh.2022.1052

1969

PDF: 616

HTML: 23
Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data

Sue C. Grady, April N. Frake, Qiong Zhang, Matlhogonolo Bene, Demetrice R. Jordan, Joshua Vertalka, Thania C. Dossantos, Ameen Kadhim, Judith Namanya, Lisa-Marie Pierre, Yi Fan, Peiling Zhou, Fatoumata B. Barry, Libbey Kutch

26-05-2017

https://doi.org/10.4081/gh.2017.501

9587

PDF: 4463

HTML: 2233
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

2633

PDF: 1424

HTML: 1033
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

2794

PDF: 797

HTML: 101
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

2426

PDF: 856

HTML: 81
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

4217

PDF: 1995

HTML: 1504
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

2602

PDF: 1176

APPENDIX: 390

HTML: 87
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

6480

PDF: 1104

HTML: 1130
Assessing the spatial accessibility of hospital care in Sichuan Province, China

Jay Pan, Huiran Liu, Xiuli Wang, Hongmei Xie, Paul L. Delamater

27-11-2015

https://doi.org/10.4081/gh.2015.384

6255

PDF: 2381

HTML: 1651
Regional variation of alanine aminotransferase serum levels in the People's Republic of China

Peng Li, Miao Ge, Jing Jing, Dezhi Wei

28-11-2017

https://doi.org/10.4081/gh.2017.472

2526

PDF: 611

HTML: 711
The spatial distribution of interleukin-4 (IL-4) reference values in China based on a back propagation (BP) neural network

Zhao Rong Huang, Miao Ge, Xin Rui Pang, Pu Song, Congxia Wang

13-09-2023

https://doi.org/10.4081/gh.2023.1197

1326

PDF: 592

HTML: 25
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

3857

PDF: 1748

SUPPL. MATERIAL: 465

HTML: 1089
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

3747

PDF: 1371

HTML: 878
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

3264

PDF: 1162

HTML: 1231
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

1607

PDF: 758

HTML: 37
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

4262

PDF: 1896

HTML: 1488
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

459

PDF: 160

HTML: 8

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Search Results

Evaluating web-based static, animated and interactive maps for injury prevention

Clustering of disability caused by unintentional injury among 15- to 60-year-old: a challenge in rapidly developing countries

Socioeconomic status and deaths due to unintentional injury among children: A socio-spatial analysis in Taiwan

The spatial distribution of injuries in need of surgical intervention in Nepal

The geographic environment and the frequency of falling: a study of mortality outcomes in elderly people in China

COVID-19, air quality and space monitoring

Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data

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

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

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

Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City

Report-back for geo-referenced environmental data: A case study on personal monitoring of temperature in outdoor workers

Spatial associations between chronic kidney disease and socio-economic factors in Thailand

Assessing the spatial accessibility of hospital care in Sichuan Province, China

Regional variation of alanine aminotransferase serum levels in the People's Republic of China

The spatial distribution of interleukin-4 (IL-4) reference values in China based on a back propagation (BP) neural network

Spatial air pollution modelling for a West-African town

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

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

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

Monitoring techniques in the capture and adoption of dogs and cats

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

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