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Detection of high risk campylobacteriosis clusters at three geographic levels

Jennifer Weisent, Barton Rohrbach, John R. Dunn, Agricola Odoi

65-76

01-11-2011

https://doi.org/10.4081/gh.2011.158

1931

PDF: 902
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

4249

PDF: 2013

HTML: 1505
Spatiotemporal transmission and socio-climatic factors related to paediatric tuberculosis in north-western Ethiopia

Kefyalew Addis Alene, Kerri Viney, Emma S. McBryde, Archie C.A. Clements

27-11-2017

https://doi.org/10.4081/gh.2017.575

3838

PDF: 1298

APPENDIX: 455

HTML: 864
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

1312

PDF: 619

HTML: 58
A geospatial analysis of cardiometabolic diseases and their risk factors considering environmental features in a midsized city in Argentina

Micaela Natalia Campero, Carlos Matías Scavuzzo, Veronica Andreo, María Sol Mileo, Micaela Belén Franzois, María Georgina Oberto, Carla Gonzalez Rodriguez, María Daniela Defagó

23-10-2023

https://doi.org/10.4081/gh.2023.1212

1856

PDF: 916

HTML: 28
Geographical distribution and spatio-temporal patterns of hospitalization due to dengue infection at a leading specialist hospital in Malaysia

Gary K.K. Low, Panayoti Papapreponis, Ridzuan M. Isa, Seng Chiew Gan, Hui Yee Chee, Kian Keong Te, Nadia M. Hatta

07-05-2018

https://doi.org/10.4081/gh.2018.642

2491

PDF: 1064

APPENDIX: 472

HTML: 127
Spatio-temporal analysis and visualisation of the anthrax epidemic situation in livestock in Kazakhstan over the period 1933-2016

Sarsenbay K. Abdrakhmanov, Yersyn Y. Mukhanbetkaliyev, Fedor I. Korennoy, Bolat Sh. Karatayev, Aizada A. Mukhanbetkaliyeva, Aruzhan S. Abdrakhmanova

13-11-2017

https://doi.org/10.4081/gh.2017.589

3921

PDF: 1412

HTML: 941
The food environment and adult obesity in US metropolitan areas

Akihiko Michimi, Michael C. Wimberly

26-11-2015

https://doi.org/10.4081/gh.2015.368

6394

PDF: 2903

HTML: 1237
Vaccine hesitancy in East Malaysia (Sabah): A survey of the national COVID-19 immunisation programme

Adi Jafar, Mohammad Tahir Mapa, Nordin Sakke, Ramli Dollah, Eko Prayitno Joko, Colonius Atang, Syahruddin Awang Ahmad, Chong Vun Hung, Fionna Geogre

14-01-2022

https://doi.org/10.4081/gh.2022.1037

6270

PDF: 1249

HTML: 291
Typhoid fever in Jakarta, Indonesia 2017-2023: spatial clustering and seasonality of hospitalization data to inform better intervention

Mujiyanto Mujiyanto, Basuki Rachmat, Aris Yulianto, Made Agus Nurjana, Wawan Ridwan, Endang Puji Astuti, Doni Lasut, Pandji Wibawa Dhewantara

15-05-2025

https://doi.org/10.4081/gh.2025.1372

2856

PDF: 1265

HTML: 705
Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes

Verónica Andreo, Juan Rosa, Karina Ramos, O. Daniel Salomón

06-05-2022

https://doi.org/10.4081/gh.2022.1033

1881

PDF: 1037

Appendix: 181

HTML: 42
Spatial clustering of colorectal cancer in Malaysia

Sharifah Saffinas Syed Soffian, Azmawati Mohammed Nawi, Rozita Hod, Khairul Nizam Abdul Maulud, Ahmad Tarmizi Mohd Azmi, Mohd Hazrin Hasim Hashim, Huan-Keat Chan, Muhammad Radzi Abu Hassan

25-05-2023

https://doi.org/10.4081/gh.2023.1158

1849

PDF: 843

HTML: 22
A breeding site model for regional, dynamical malaria simulations evaluated using in situ temporary ponds observations

Ernest O. Asare, Adrian M. Tompkins, Leonard K. Amekudzi, Volker Ermert

31-03-2016

https://doi.org/10.4081/gh.2016.390

2930

PDF: 1232

HTML: 1150
Evaluation of spatial cluster detection methods for dengue fever in the state of Paraiba, Brazil

Alline Oliveira do Nascimento Veloso, Leonardo Wanderley Lopes, Ronei Marcos de Moraes

27-10-2025

https://doi.org/10.4081/gh.2025.1393

625

PDF: 382

HTML: 39
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

2040

PDF: 638

HTML: 24
Collective efficacy and community readiness for dementia prevention: a spatial spillover analysis

Duan-Rung Chen, Chun-Tung Kuo, Tzu-Chin Wu

08-06-2026

https://doi.org/10.4081/gh.2026.1476

225

PDF: 126

HTML: 3
Methodological framework for assessing malaria risk associated with climate change in Côte d’Ivoire

Yao Etienne Kouakou, Iba Dieudonné Dely, Madina Doumbia, Aziza Ouattara, Effah Jemima N’da, Koffi Evrard Brou, Yao Anicet Zouzou, Guéladio Cissé, Brama Koné

28-08-2024

https://doi.org/10.4081/gh.2024.1285

1823

PDF: 870

HTML: 102
A post-pandemic analysis of air pollution over small-sized urban areas in southern Thailand following the COVID-19 lockdown

Dimitris Stratoulias, Beomgeun Jang, Narissara Nuthammachot

07-07-2025

https://doi.org/10.4081/gh.2025.1354

1097

PDF: 467

Supplementary Materials: 104

HTML: 62
The effects of the Health Insurance Portability and Accountability Act privacy rule on influenza research using geographical information systems

Norisse Tellman, Eric R. Litt, Caprice Knapp, Aaron Eagan, Jing Cheng, Lewis J. Jr Radonovich

3-9

01-11-2010

https://doi.org/10.4081/gh.2010.182

2458

PDF: 1017
Spatio-temporal patterns of dengue in Malaysia: combining address and sub-district level

Cheong Y. Ling, Oliver Gruebner, Alexander Krämer, Tobia Lakes

131-140

01-11-2014

https://doi.org/10.4081/gh.2014.11

4078

PDF: 2187
The effects of population mobility on Chinese HIV epidemics in spill-over and influx risks perspectives: a spatial epidemiology analysis

Yazhen Zhang, Hui Jin

08-09-2025

https://doi.org/10.4081/gh.2025.1384

869

PDF: 455

Supplementary materials: 84

HTML: 37
Neurological disability in leprosy: incidence and gender association in Sergipe, Brazil

Daniela Teles de Oliveira, Marília Matos Bezerra, José Antônio Pacheco de Almeida, Malcolm Duthie, Steven Reed, Amelia Ribeiro de Jesus

S125-S129

01-09-2012

https://doi.org/10.4081/gh.2012.130

1629

PDF: 894
Role of malnutrition and parasite infections in the spatial variation in children's anaemia risk in northern Angola

Ricardo J. Soares Magalhães, Antonio Langa, João Mário Pedro, José Carlos Sousa-Figueiredo, Archie C.A. Clements, Susana Vaz Nery

341-354

01-05-2013

https://doi.org/10.4081/gh.2013.91

4303

PDF: 2031
Modeling freshwater snail habitat suitability and areas of potential snail-borne disease transmission in Uganda

A.S. Stensgaard, A. JÃ¸rgensen, N.B. Kabatereine, C. Rahbek, T.K. Kristensen

93-104

01-11-2006

https://doi.org/10.4081/gh.2006.284

3442

PDF: 1769
Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa

Thandi Kapwata, Michael T. Gebreslasie

16-11-2016

https://doi.org/10.4081/gh.2016.434

4453

PDF: 1937

APPENDIX 1: 468

APPENDIX 2: 498

HTML: 1651
Virtual globes and geospatial health: the potential of new tools in the management and control of vector-borne diseases

Anna-Sofie Stensgaard, Christopher F.L. Saarnak, Jürg Utzinger, Penelope Vounatsou, Christopher Simoonga, Gabriel Mushinge, Carsten Rahbek, Flemming MÃ¸hlenberg, Thomas K. Kristensen

127-141

01-05-2009

https://doi.org/10.4081/gh.2009.216

2435

PDF: 1876
SandflyMap: leveraging spatial data on sand fly vector distribution for disease risk assessments

Desmond H. Foley, Richard C. Wilkerson, L. Lynnette Dornak, David B. Pecor, Arpad S. Nyari, Leopoldo M. Rueda, Lewis S. Long, Jason H. Richardson

S25-S30

01-09-2012

https://doi.org/10.4081/gh.2012.119

2697

PDF: 1133
Rapid GIS-based profiling of West Nile virus transmission: defining environmental factors associated with an urbansuburban outbreak in Northeast Ohio, USA

A. Desiree LaBeaud, Ann-Marie Gorman, Joe Koonce, Christopher Kippes, John McLeod, Joe Lynch, Timothy Gallagher, Charles H. King, Anna M. Mandalakas

215-225

01-05-2008

https://doi.org/10.4081/gh.2008.245

2452

PDF: 995
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

1056

PDF: 622

HTML: 20
Lung cancer associated with natural vegetation cover: spatial analysis in the state of Pará, eastern Brazil

Bruna Rafaela Leite Dias, Laura Maria Vidal Nogueira, Ivaneide Leal Ataíde Rodrigues, Bruna Puty, Maria Liracy Batista de Souza, Gracileide Maia Corrêa, Altem Nascimento Pontes

12-09-2025

https://doi.org/10.4081/gh.2025.1399

775

PDF: 304

HTML: 14
Spatial patterns of recorded mastitis incidence and somatic cell counts in Swedish dairy cows: implications for surveillance

Cecilia Wolff, Mark Stevenson, Ulf Emanuelson, Agneta Egenvall, Ann Lindberg

117-123

01-11-2011

https://doi.org/10.4081/gh.2011.163

1299

PDF: 983
Nigeria’s malaria prevalence in 2015: a geospatial, exploratory district-level approach

Mina Whyte, Kennedy Mwai Wambui, Eustasius Musenge

25-11-2024

https://doi.org/10.4081/gh.2024.1243

1647

PDF: 656

HTML: 117
Application of modern spatio-temporal analysis technologies to identify and visualize patterns of rabies emergence among different animal species in Kazakhstan

Aizada A. Mukhanbetkaliyeva, Anar M. Kabzhanova, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Temirlan G. Bakishev, Aslan A. Bainiyazov, Rakhimtay B. Tleulessov, Fedor I. Korennoy, Andres M. Perez, Sarsenbay K. Abdrakhmanov

31-07-2024

https://doi.org/10.4081/gh.2024.1290

1844

PDF: 804

HTML: 117
Optimizing allocation of colorectal cancer screening hospitals in Shanghai: a geospatial analysis

Jiaqi Huang, Yichen Chen, Gu Liu, Wei Tu, Robert Bergquist, Michael P. Ward, Jun Zhang, Shuang Xiao, Jie Hong, Zheng Zhao, Xiaopan Li, Zhijie Zhang

03-07-2023

https://doi.org/10.4081/gh.2023.1152

2439

PDF: 1200

Supplementary Materials: 188

HTML: 30
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

1867

PDF: 636

HTML: 48
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

2137

PDF: 912

HTML: 57
Disparities in COVID-19 health outcomes among different sub-immigrant groups in the US - a study based on the spatial Durbin model

Jihoon Jung, Yoonjung Ahn, Joseph Bommarito

18-03-2022

https://doi.org/10.4081/gh.2022.1064

1832

PDF: 484

Appendix: 333

HTML: 16
Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle

Fleur Hierink, Nima Yaghmaei, Mirjam I. Bakker, Nicolas Ray, Marc van den Homberg

29-10-2024

https://doi.org/10.4081/gh.2024.1284

6575

PDF: 860

Supplementary Materials: 282

HTML: 124
Understanding the spatial non-stationarity in the relationships between malaria incidence and environmental risk factors using Geographically Weighted Random Forest: A case study in Rwanda

Gilbert Nduwayezu, Pengxiang Zhao, Clarisse Kagoyire, Lina Eklund, Jean Pierre Bizimana, Petter Pilesjo, Ali Mansourian

25-05-2023

https://doi.org/10.4081/gh.2023.1184

3399

PDF: 1746

HTML: 208
Rivers and flooded areas identified by medium-resolution remote sensing improve risk prediction of the highly pathogenic avian influenza H5N1 in Thailand

Weerapong Thanapongtharm, Thomas P. Van Boeckel, Chandrashekhar Biradar, Xiangming Xiao, Marius Gilbert

193-201

01-11-2013

https://doi.org/10.4081/gh.2013.66

2012

PDF: 1229
Localization of kala-azar in the endemic region of Bihar, India based on land use/land cover assessment at different scales

Gouri S. Bhunia, Shreekant Kesari, Nandini Chatterjee, Vijay Kumar, Pradeep Das

177-193

01-05-2012

https://doi.org/10.4081/gh.2012.136

1673

PDF: 1126
Spatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical models

Ronaldo G. C. Scholte, Nadine Schur, Maria E. Bavia, Edgar M. Carvalho, Frédérique Chammartin, Jürg Utzinger, Penelope Vounatsou

97-110

01-11-2013

https://doi.org/10.4081/gh.2013.58

4251

PDF: 2195
Spatio-temporal evaluation of cattle trade in Sweden: description of a grid network visualization technique

Stefan Widgren, Jenny Frössling

119-130

01-11-2010

https://doi.org/10.4081/gh.2010.192

1585

PDF: 1130
Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling

Uwem F. Ekpo, Eveline Hürlimann, Nadine Schur, Akinola. S. Oluwole, Eniola M. Abe, Margaret A. Mafe, Obiageli J. Nebe, Sunday Isiyaku, Francisca Olamiju, Mukaila Kadiri, Temitope O.S. Poopola, Eka I. Braide, Yisa Saka, Chiedu F. Mafiana, Thomas K. Kristensen, Jürg Utzinger, Penelope Vounatsou

355-366

01-05-2013

https://doi.org/10.4081/gh.2013.92

6593

PDF: 2143
Mapping brucellosis risk in communities in the Republic of Armenia

Thibaud Porphyre, Ronald Jackson, Carola Sauter-Louis, David Ward, Grigor Baghyan, Edik Stepanyan

103-118

01-11-2010

https://doi.org/10.4081/gh.2010.191

2133

PDF: 1163
Optimizing vaccination sites for infectious diseases based on heterogeneous travel modes in multiple scenarios

Wentao Yang, Fengjie Wang, Yihan You, Zhixiong Fang, Xing Wang, Xiaoming Mei

24-03-2025

https://doi.org/10.4081/gh.2025.1362

1973

PDF: 459

HTML: 106
Spatial patterns and eco-epidemiological systems - part II: characterising spatial patterns of the occurrence of the insect vectors of Chagas disease based on remote sensing and field data

Emmanuel Roux, Annamaria de Fátima VenÃ¢ncio, Jean-François Girres, Christine A. Romaña

53-64

01-11-2011

https://doi.org/10.4081/gh.2011.157

1612

PDF: 861
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

4931

PDF: 1764

HTML: 2284
Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019–2021

Farrah Fahdhienie, Frans Yosep Sitepu, Elpiani Br Depari

03-09-2024

https://doi.org/10.4081/gh.2024.1318

1930

PDF: 858

HTML: 113
A spatiotemporal analysis of the impact of the COVID-19 outbreak on noise pollution in Tehran, Iran

Omid Reza Abbasi, Yasser Ebrahimian Ghajari , Ali Asghar Alesheikh

29-11-2022

https://doi.org/10.4081/gh.2022.1114

963

PDF: 854

HTML: 19
Modelling spatial concordance between Rocky Mountain spotted fever disease incidence and habitat probability of its vector Dermacentor variabilis (American dog tick)

Samuel F. Atkinson, Sahotra Sarkar, Aldo Aviña, Jim A. Schuermann, Phillip Williamson

91-100

01-11-2012

https://doi.org/10.4081/gh.2012.108

2157

PDF: 1363
Modelling and analyzing spatial clusters of leptospirosis based on satellite-generated measurements of environmental factors in Thailand during 2013-2015

Amornrat Luenam, Nattapong Puttanapong

26-11-2020

https://doi.org/10.4081/gh.2020.856

3646

PDF: 1284

HTML: 75
Space-time cluster analysis of anemia in pregnant women in the province of Khyber Pakhtunkhwa, Pakistan (2014-2020)

Sami Ullah, SM Aqil Burney, Tariq Rasheed, Shamaila Burney, Mushtaq Ahmad Khan Barakzia

05-10-2023

https://doi.org/10.4081/gh.2023.1192

1202

PDF: 809

HTML: 53
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

2169

PDF: 949

HTML: 118
Socioeconomic determinants of pandemics: a spatial methodological approach with evidence from COVID-19 in Nice, France

Laurent Bailly, Rania Belgaied, Thomas Jobert, Benjamin Montmartin

15-09-2025

https://doi.org/10.4081/gh.2025.1383

854

PDF: 364

Supplementary materials: 86

HTML: 27
Spatio-temporal analysis of foot traffic dynamics in Charleston County, South Carolina: before, during, and after COVID-19

Wish Shao, Abolfazl Mollalo, Navid Hashemi Tonekaboni

23-06-2025

https://doi.org/10.4081/gh.2025.1363

827

PDF: 439

HTML: 34
Spatial-temporal analysis of prostate cancer incidence from the Pennsylvania Cancer Registry, 2000-2011

Ming Wang, Stephen A. Matthews, Khaled Iskandarani, Yimei Li, Zheng Li, Vernon M. Chinchilli, Lijun Zhang

28-11-2017

https://doi.org/10.4081/gh.2017.611

3786

PDF: 980

HTML: 731
Geospatial analysis in the United States reveals the changing roles of temperature on COVID-19 transmission

Ruiwen Xiong, Xiaolong Li

20-07-2023

https://doi.org/10.4081/gh.2023.1213

1510

PDF: 821

HTML: 32
Venomous snakebite risk and its implications in Zacatecas State, Mexico 2007-2017

Jesús Lenin Lara-Galván, Manuel Montesino-San Martín, Xabier Herrero Otero, Juan Felipe Martínez-Montoya, José Jesús Sigala-Rodríguez, Ana Márcia Barbosa

05-11-2025

https://doi.org/10.4081/gh.2025.1404

698

PDF: 349

Supplementary materials: 97

HTML: 11
Physical inactivity displays a mediator role in the association of diabetes and poverty: A spatiotemporal analysis

Lung-Chang Chien, Xiao Li, Amanda Staudt

03-11-2017

https://doi.org/10.4081/gh.2017.528

2973

PDF: 1029

HTML: 805
Modelling recent and future climatic suitability for fasciolosis in Europe

Cyril Caminade, Jan van Dijk, Matthew Baylis, Diana Williams

301-308

19-03-2015

https://doi.org/10.4081/gh.2015.352

4986

PDF: 1812
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

671

PDF: 363

Supplementary materials: 54

HTML: 14
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

2025

PDF: 1168

Appendix: 168

HTML: 220
A spatial lag model analysis of lung cancer incidence and satellite-derived data on air pollution in Thailand from 2020 to 2023

Wasana Silangam, Amornrat Luenam

14-11-2025

https://doi.org/10.4081/gh.2025.1424

784

PDF: 387

HTML: 9
Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK

Jishuo Zhang, Meifang Li

29-11-2022

https://doi.org/10.4081/gh.2022.1123

1254

PDF: 973

HTML: 95
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

1689

PDF: 661

HTML: 165
Investigation of landscape risk factors for the recent spread of varroa mite (Varroa destructor) in European honeybee (Apis mellifera) colonies in New South Wales, Australia

Emily Phaboutdy, Michael Ward

04-07-2024

https://doi.org/10.4081/gh.2024.1282

2449

PDF: 780

HTML: 38
Spatio-temporal analysis of leptospirosis in Brazil and its relationship with flooding

Alice Nardoni Marteli, Laurindo Antonio Guasselli , Décio Diament , Gabriele Ozório Wink , Vitor Vieira Vasconcelos

29-11-2022

https://doi.org/10.4081/gh.2022.1128

2966

PDF: 1757

HTML: 223
Mapping of the environmental contamination of Toxoplasma gondii by georeferencing isolates from chickens in an endemic area in Southeast Rio de Janeiro State, Brazil

Luciana Casartelli-Alves, Maria Regina Reis Amendoeira, Viviane Cardoso Boechat, Luiz Cláudio Ferreira, João Carlos Araujo Carreira, José Leonardo Nicolau, Eloiza Paula de Freitas Trindade, Julia Novaes de Barros Peixoto, Mônica de Avelar Figueiredo Mafra Magalhães, Raquel de Vasconcellos Carvalhaes de Oliveira, TÃ¢nia Maria Pacheco Schubach, Rodrigo Caldas Menezes

18-05-2015

https://doi.org/10.4081/gh.2015.311

3490

PDF: 1514

HTML: 1517
Geospatial (s)tools: integration of advanced epidemiological sampling and novel diagnostics

Giuseppe Cringoli, Laura Rinaldi, Marco Albonico, Robert Bergquist, Jürg Utzinger

399-404

01-05-2013

https://doi.org/10.4081/gh.2013.97

4732

PDF: 1709
Transmissibility of the highly pathogenic avian influenza virus, subtype H5N1 in domestic poultry: a spatio-temporal estimation at the global scale

Zhijie Zhang, Dongmei Chen, Michael P. Ward, Qingwu Jiang

135-143

01-11-2012

https://doi.org/10.4081/gh.2012.112

1704

PDF: 1015
Urban agriculture and Anopheles habitats in Dar es Salaam, Tanzania

Stefan Dongus, Dickson Nyika, Khadija Kannady, Deo Mtasiwa, Hassan Mshinda, Laura Gosoniu, Axel W. Drescher, Ulrike Fillinger, Marcel Tanner, Gerry F. Killeen, Marcia C. Castro

189-210

01-05-2009

https://doi.org/10.4081/gh.2009.220

4667

PDF: 1542
Spatial distribution and sociodemographic risk factors of malaria in Nigerian children less than 5 years old

Chigozie Louisa J. Ugwu, Temesgen Zewotir

29-12-2020

https://doi.org/10.4081/gh.2020.819

4008

PDF: 1846

HTML: 791
Impact of climate change and man-made irrigation systems on the transmission risk, long-term trend and seasonality of human and animal fascioliasis in Pakistan

Kiran Afshan, Cesar A. Fortes-Lima, Patricio Artigas, M. Adela Valero, Mazhar Qayyum, Santiago Mas-Coma

317-334

01-05-2014

https://doi.org/10.4081/gh.2014.22

27285

PDF: 2369
Spatial analysis of Neospora caninum distribution in dairy cattle from Sweden

Jenny Frössling, Ane NÃ¸dtvedt, Ann Lindberg, Camilla Björkman

39-45

01-11-2008

https://doi.org/10.4081/gh.2008.230

1719

PDF: 930
Mapping and predicting malaria transmission in the People's Republic of China, using integrated biology-driven and statistical models

Guo-Jing Yang, Qi Gao, Shui-Sen Zhou, John B. Malone, Jennifer C. McCarroll, Marcel Tanner, Penelope Vounatsou, Robert Bergquist, Jürg Utzinger, Xiao-Nong Zhou

11-22

01-11-2010

https://doi.org/10.4081/gh.2010.183

3435

PDF: 1752
Environmental modelling of visceral leishmaniasis by susceptibility-mapping using neural networks: a case study in north-western Iran

Mohammadreza Rajabi, Ali Mansourian, Petter Pilesjö, Ahad Bazmani

179-191

01-11-2014

https://doi.org/10.4081/gh.2014.15

7515

PDF: 1643
Correlation between normalized difference vegetation index and malaria in a subtropical rain forest undergoing rapid anthropogenic alteration

Nicole M. Wayant, Diego Maldonado, Antonieta Rojas de Arias, Blanca Cousiño, Douglas G. Goodin

179-190

01-05-2010

https://doi.org/10.4081/gh.2010.199

3603

PDF: 1343
Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis

Xiao Li, Amanda Staudt, Lung-Chang Chien

21-11-2016

https://doi.org/10.4081/gh.2016.439

2820

PDF: 1337

APPENDIX: 488

HTML: 1162
The geo-spatial perspective of biological, social and environmental determinants of early pregnancy anaemia in rural Sri Lanka: Need for context-specific approaches on prevention

Gayani Shashikala Amarasinghe, Thilini Chanchala Agampodi, Vasana Mendis, Suneth Buddhika Agampodi

29-11-2022

https://doi.org/10.4081/gh.2022.1110

1664

PDF: 1005

HTML: 51
Investigating spatiotemporal patterns of the COVID-19 in SÃ£o Paulo State, Brazil

Enner Alcântara, José Mantovani, Luiz Rotta, Edward Park, Thanan Rodrigues, Fernando Campos Carvalho, Carlos Roberto Souza Filho

26-11-2020

https://doi.org/10.4081/gh.2020.925

4047

PDF: 1370

HTML: 32
There is more to satellite imagery than meets the eye

Robert Bergquist, John B. Malone

31-05-2022

https://doi.org/10.4081/gh.2022.1106

2863

PDF: 661

HTML: 33
The acquired immunodeficiency syndrome in the State of Rio de Janeiro, Brazil: a spatio-temporal analysis of cases reported in the period 2001-2010

André T. J. Alves, Flávio F. Nobre

437-443

01-05-2014

https://doi.org/10.4081/gh.2014.32

1917

PDF: 1033
Spatio-temporal dynamics of global H5N1 outbreaks match bird migration patterns

Yali Si, Andrew K. Skidmore, Tiejun Wang, Willem F. de Boer, Pravesh Debba, Albert G. Toxopeus, Lin Li, Herbert H.T. Prins

65-78

01-11-2009

https://doi.org/10.4081/gh.2009.211

6092

PDF: 1637
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

2701

PDF: 1339

HTML: 186
Spatial and temporal changes in household structure locations using high-resolution satellite imagery for population assessment: an analysis in southern Zambia, 2006-2011

Timothy Shields, Jessie Pinchoff, Jailos Lubinda, Harry Hamapumbu, Kelly Searle, Tamaki Kobayashi, Philip E. Thuma, William J. Moss, Frank C. Curriero

31-05-2016

https://doi.org/10.4081/gh.2016.410

2353

PDF: 1161

HTML: 916
Baseline drivers of lymphatic filariasis in Burkina Faso

Michelle C. Stanton, David H. Molyneux, Dominique Kyelem, Roland W. Bougma, Benjamin G. Koudou, Louise A. Kelly-Hope

159-173

01-11-2013

https://doi.org/10.4081/gh.2013.63

3692

PDF: 1479
Environmental determinants of Opisthorchis viverrini prevalence in northeast Thailand

Yi-Chen Wang, Chen-Chieh Feng, Paiboon Sithithaworn

111-123

01-11-2013

https://doi.org/10.4081/gh.2013.59

2696

PDF: 1342
Access to the COVID-19 services during the pandemic - a scoping review

Ahmad Raeesi, Behzad Kiani, Azam Hesami, Ladan Goshayeshi, Neda Firouraghi, Shahab MohammadEbrahimi, Soheil Hashtarkhani

28-03-2022

https://doi.org/10.4081/gh.2022.1079

2581

PDF: 845

Appendix: 330

HTML: 128
Susceptibility mapping of visceral leishmaniasis based on fuzzy modelling and group decision-making methods

Mohamadreza Rajabi, Ali Mansourian, Ahad Bazmani

37-50

01-11-2012

https://doi.org/10.4081/gh.2012.103

1812

PDF: 1072
Understanding needs and barriers to using geospatial tools for public health policymaking in China

Dohyeong Kim, Yingyuan Zhang, Chang Kil Lee

07-05-2018

https://doi.org/10.4081/gh.2018.594

2034

PDF: 996

HTML: 356
Spatial association of public sports facilities with body mass index in Korea

Eun Jin Han, Kiyeon Kang, So Young Sohn

07-05-2018

https://doi.org/10.4081/gh.2018.542

2552

PDF: 1135

HTML: 114
Spatial patterns of Plasmodium vivax transmission explored by multivariate auto-regressive state-space modelling - A case study in Baoshan Prefecture in southern China

Jinxin Zheng, Benyun Shi, Shang Xia, Guojing Yang, Xiao-Nong Zhou

12-03-2021

https://doi.org/10.4081/gh.2021.879

1910

PDF: 809

HTML: 41
Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis

Sang Min Lee, Dong Woo Huh, Young Gyu Kwon

11-03-2025

https://doi.org/10.4081/gh.2025.1295

2347

PDF: 773

Supplementary materials: 218

HTML: 122
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

5257

PDF: 2280

HTML: 595
Assessment of malaria transmission changes in Africa, due to the climate impact of land use change using Coupled Model Intercomparison Project Phase 5 earth system models

Adrian M. Tompkins, Luca Caporaso

31-03-2016

https://doi.org/10.4081/gh.2016.380

4186

PDF: 1929

HTML: 1284
Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran

Marjan Zare, Ali Semati, Alireza Mirahmadizadeh, Abdulrasool Hemmati, Mostafa Ebrahimi

08-06-2022

https://doi.org/10.4081/gh.2022.1065

1160

PDF: 604

HTML: 45
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

2814

PDF: 955

HTML: 157
First year with COVID-19: Assessment and prospects

Robert Bergquist, Behzad Kiani, Samuel Manda

26-11-2020

https://doi.org/10.4081/gh.2020.953

3118

PDF: 812

HTML: 29
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach

Mokhalad A. Majeed, Helmi Z. M. Shafri, Aimrun Wayayok, Zed Zulkafli

25-05-2023

https://doi.org/10.4081/gh.2023.1176

3192

PDF: 1317

Supplementary Materials: 204

HTML: 134

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