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Long-term exposure to gaseous air pollutants and cardio-respiratory mortality in Brisbane, Australia

Xiao Yu Wang, Wenbiao Hu, Shilu Tong

257-263

01-05-2009

https://doi.org/10.4081/gh.2009.225

1976

PDF: 1307
Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in Thailand

Suparat Tappo, Wongsa Laohasiriwong, Nattapong Puttanapong

29-11-2022

https://doi.org/10.4081/gh.2022.1091

2182

PDF: 1267

Appendix: 191

HTML: 238
Perspectives on using remotely-sensed imagery in predictive veterinary epidemiology and global early warning systems

Vincent Martin, Lorenzo De Simone, Juan Lubroth, Pietro Ceccato, Véronique Chevalier

3-14

01-11-2007

https://doi.org/10.4081/gh.2007.250

2051

PDF: 1133
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

2226

PDF: 1007

Supplementary Materials: 188

HTML: 74
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

1849

PDF: 678

HTML: 57
Province clustering based on the percentage of communicable disease using the BCBimax biclustering algorithm

Muhammad Nur Aidi, Cynthia Wulandari, Sachnaz Desta Oktarina, Taufiqur Rakhim Aditra, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Aya Yuriestia Arifin, Rita Marleta Dewi, Nazarina Nazaruddin, Salimar Salimar, Noviati Fuada, Yekti Widodo, Budi Setyawati, Nuzuliyati Nurhidayati, Sudikno Sudikno, Irlina Raswanti Irawan, Widoretno Widoretno

12-09-2023

https://doi.org/10.4081/gh.2023.1202

1933

PDF: 1027

HTML: 125
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

2215

PDF: 991

HTML: 58
Implementation of geographical information systems for the study of diseases caused by vector-borne arboviruses in Southeast Asia: A review based on the publication record

Ajib Diptyanusa, Lutfan Lazuardi, Retnadi Heru Jatmiko

17-06-2020

https://doi.org/10.4081/gh.2020.862

2843

PDF: 1400

HTML: 196
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

3794

PDF: 1529

HTML: 1177
Association of city-level walkability, accessibility to biking and public transportation and socio-economic features with COVID-19 infection in Massachusetts, USA: An ecological study

Yucheng Wang, Thomas C. Tsai, Dustin T. Duncan, John Ji

14-01-2022

https://doi.org/10.4081/gh.2022.1017

5957

PDF: 1242

Appendix: 517

HTML: 57
Spatial distribution and autocorrelation of infant mortality for three cities in ParanÃ¡ state, Brazil

Rosana Rosseto de Oliveira, Josane Rosenilda da Costa, Thais Aidar de Freitas Mathias

257-262

01-05-2012

https://doi.org/10.4081/gh.2012.143

1406

PDF: 905
Low-altitude outbreaks of human fascioliasis related with summer rainfall in Gilan province, Iran

Abdoreza Salahi-Moghaddam, Majid Habibi-Nokhandam, Márius V. Fuentes

133-136

01-11-2011

https://doi.org/10.4081/gh.2011.165

1842

PDF: 952
Spatial scale effects in environmental risk-factor modelling for diseases

Ram K. Raghavan, Karen M. Brenner, John A. Jr. Harrington, James J. Higgins, Kenneth R. Harkin

169-182

01-05-2013

https://doi.org/10.4081/gh.2013.78

2316

PDF: 1553
Spatial analysis of risk factors for transmission of the Barmah Forest virus in Queensland, Australia

Suchithra Naish, Kerrie Mengersen, Shilu Tong

289-299

01-11-2013

https://doi.org/10.4081/gh.2013.74

1972

PDF: 1157
A geographical information systems-based approach to health facilities and urban traffic system in Belgrade, Serbia

Aleksandar Valjarević, Dragana Valjarević, Zorica Stanojević-Ristić, Tatjana Djekić, Nebojša Živić

09-11-2018

https://doi.org/10.4081/gh.2018.729

1802

PDF: 1004

APPENDIX: 860

HTML: 111
Effects of socio-economic and environmental factors on the spatial heterogeneity of dengue fever investigated at a fine scale

Yubing Qu, Xun Shi, Yong Wang, Rendong Li, Liang Lu, Qiyong Liu

09-11-2018

https://doi.org/10.4081/gh.2018.682

3515

PDF: 1764

HTML: 223
A geographical information system-based web model of arbovirus transmission risk in the continental United States of America

Sarah K. Konrad, Li Zou, Scott N. Miller

157-159

01-11-2012

https://doi.org/10.4081/gh.2012.114

1677

PDF: 955

Video: 0
COVID-19 vaccine prioritization based on district classification in Yogyakarta Province, Indonesia

Syifa Hanifa, Diana Puspitasari, Cahyadi Ramadhan, Karina Oriza Herastuti

14-01-2022

https://doi.org/10.4081/gh.2022.1010

2926

PDF: 856

HTML: 54
Malaria risk map for India based on climate, ecology and geographical modelling

Soma Sarkar, Poonam Singh, Mercy Aparna L. Lingala, Preeti Verma, Ramesh C. Dhiman

06-11-2019

https://doi.org/10.4081/gh.2019.767

7155

PDF: 2469

HTML: 13676
Examination of infant mortality risk in Turkey with spatio-temporal Bayesian models

Sade Kılıç Yıldırım, Celal Reha Alpar

14-11-2025

https://doi.org/10.4081/gh.2025.1396

632

PDF: 301

HTML: 7
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
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

778

PDF: 288

HTML: 15
Spatial comparison of London’s three waves of Spanish flu

Walter Peterson

19-10-2023

https://doi.org/10.4081/gh.2023.1235

1668

PDF: 800

HTML: 656
Evaluation and planning of Chagas control activities using geospatial tools

Diego Weinberg, Mario Lanfri, Carlos M. Scavuzzo, Marcelo Abril, Sofía Lanfri

06-11-2019

https://doi.org/10.4081/gh.2019.786

1757

PDF: 899

HTML: 49

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Search Results

Long-term exposure to gaseous air pollutants and cardio-respiratory mortality in Brisbane, Australia

Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in Thailand

Perspectives on using remotely-sensed imagery in predictive veterinary epidemiology and global early warning systems

Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats

Spatial correlates of COVID-19 first wave across continental Portugal

Province clustering based on the percentage of communicable disease using the BCBimax biclustering algorithm

Global spreading of Omicron variant of COVID-19

Implementation of geographical information systems for the study of diseases caused by vector-borne arboviruses in Southeast Asia: A review based on the publication record

Diagnostic approaches to malaria in Zambia, 2009-2014

Association of city-level walkability, accessibility to biking and public transportation and socio-economic features with COVID-19 infection in Massachusetts, USA: An ecological study

Spatial distribution and autocorrelation of infant mortality for three cities in ParanÃ¡ state, Brazil

Low-altitude outbreaks of human fascioliasis related with summer rainfall in Gilan province, Iran

Spatial scale effects in environmental risk-factor modelling for diseases

Spatial analysis of risk factors for transmission of the Barmah Forest virus in Queensland, Australia

A geographical information systems-based approach to health facilities and urban traffic system in Belgrade, Serbia

Effects of socio-economic and environmental factors on the spatial heterogeneity of dengue fever investigated at a fine scale

A geographical information system-based web model of arbovirus transmission risk in the continental United States of America

COVID-19 vaccine prioritization based on district classification in Yogyakarta Province, Indonesia

Malaria risk map for India based on climate, ecology and geographical modelling

Examination of infant mortality risk in Turkey with spatio-temporal Bayesian models

Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches

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

Spatial comparison of London’s three waves of Spanish flu

Evaluation and planning of Chagas control activities using geospatial tools

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