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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

1652

PDF: 579

HTML: 51
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

1782

PDF: 901

HTML: 116
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

1981

PDF: 862

HTML: 53
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

2594

PDF: 1294

HTML: 180
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

3634

PDF: 1439

HTML: 1170
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

5739

PDF: 1074

Appendix: 434

HTML: 54
Study of the snail intermediate hosts for Schistosoma mansoni on ItamaracÃ¡ Island in northeast Brazil: spatial displacement of Biomphalaria glabrata by Biomphalaria straminea

Constança S. Barbosa, Verônica S. Barbosa, Wheverton C. Nascimento, Otavio S. Pieri, Karina C. G. M. Araújo

345-351

01-05-2014

https://doi.org/10.4081/gh.2014.24

2346

PDF: 1228
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

1285

PDF: 856
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

1699

PDF: 891
The use of spatial tools in the study of Schistosoma mansoni and its intermediate host snails in Brazil: a brief review

Andrea Gazzinelli, Helmut Kloos

51-58

01-11-2007

https://doi.org/10.4081/gh.2007.254

2116

PDF: 990
Impact of socio-economic environment and its interaction on the initial spread of COVID-19 in mainland China

Mao Guo, Lin Yang, Feixue Shen, Lei Zhang, Anqi Li, Yanyan Cai, Chenghu Zhou

18-03-2022

https://doi.org/10.4081/gh.2022.1060

1338

PDF: 523

HTML: 32
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

2181

PDF: 1431
Mapping environmental susceptibility to Saint Louis encephalitis virus, based on a decision tree model of remotelysensed data

Camilo H. Rotela, Lorena I. Spinsanti, Mario A. Lamfri, Marta S. Contigiani, Walter R. Almiròn, Carlos M. Scavuzzo

85-94

01-11-2011

https://doi.org/10.4081/gh.2011.160

1390

PDF: 886
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

1875

PDF: 1052
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

1723

PDF: 901

APPENDIX: 806

HTML: 105
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

3375

PDF: 1628

HTML: 199
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

1558

PDF: 893

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

2776

PDF: 737

HTML: 49
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

6791

PDF: 2343

HTML: 13496
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

412

PDF: 210

HTML: 6
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

526

PDF: 264

Supplementary materials: 39

HTML: 8
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

299

PDF: 129

HTML: 6
Spatial comparison of London’s three waves of Spanish flu

Walter Peterson

19-10-2023

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

1466

PDF: 706

HTML: 588
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

1657

PDF: 839

HTML: 40

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Search Results

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

Study of the snail intermediate hosts for Schistosoma mansoni on ItamaracÃ¡ Island in northeast Brazil: spatial displacement of Biomphalaria glabrata by Biomphalaria straminea

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

The use of spatial tools in the study of Schistosoma mansoni and its intermediate host snails in Brazil: a brief review

Impact of socio-economic environment and its interaction on the initial spread of COVID-19 in mainland China

Spatial scale effects in environmental risk-factor modelling for diseases

Mapping environmental susceptibility to Saint Louis encephalitis virus, based on a decision tree model of remotelysensed data

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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