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Associations between seasonal influenza and meteorological parameters in Costa Rica, Honduras and Nicaragua

Radina P. Soebiyanto, Wilfrido A. Clara, Jorge Jara, Angel Balmaseda, Jenny Lara, Mariel Lopez Moya, Rakhee Palekar, Marc-Alain Widdowson, Eduardo Azziz-Baumgartner, Richard K. Kiang

04-11-2015

https://doi.org/10.4081/gh.2015.372

4167

PDF: 1342

HTML: 1161
Evaluation and control strategy analysis of influenza cases in Jiujiang City, Jiangxi Province, China from 2018 to 2022

Zhang Zeng, Huomei Xiong

09-10-2024

https://doi.org/10.4081/gh.2024.1294

658

PDF: 241

HTML: 72
Space-time epidemiology and effect of meteorological parameters on influenza-like illness in Phitsanulok, a northern province in Thailand

Prakash Madhav Nimbalkar, Nitin Kumar Tripathi

21-11-2016

https://doi.org/10.4081/gh.2016.447

2081

PDF: 1109

HTML: 1119
Predominance and geo-mapping of avian influenza H5N1 in poultry sectors in Egypt

Abdelsatar Arafa, Ihab El-Masry, Shereen Khoulosy, Mohammed K. Hassan, Moussa Soliman, Olubunmi G. Fasanmi, Folorunso O. Fasina, Gwenaelle Dauphin, Juan Lubroth, Yilma M. Jobre

28-11-2016

https://doi.org/10.4081/gh.2016.492

2511

PDF: 980

APPENDIX: 405

HTML: 1509
Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system

Jia-Cheng Zhang, Wen-Dong Liu, Qi Liang, Jian-Li Hu, Jessie Norris, Ying Wu, Chang-Jun Bao, Fen-Yang Tang, Peng Huang, Yang Zhao, Rong-Bin Yu, Ming-Hao Zhou, Hong-Bing Shen, Feng Chen, Zhi-Hang Peng

429-435

01-05-2014

https://doi.org/10.4081/gh.2014.31

2986

PDF: 1054
Landscape attributes driving avian influenza virus circulation in the Lake Alaotra region of Madagascar

Laure Guerrini, Mathilde C. Paul, Lucas Leger, Harentsoaniaina R. Andriamanivo, Olivier F. Maminiaina, Marion Jourdan, Sophie Molia, René Rakotondravao, Véronique Chevalier

445-453

01-05-2014

https://doi.org/10.4081/gh.2014.33

2379

PDF: 975
Modelling the domestic poultry population in the United States: A novel approach leveraging remote sensing and synthetic data methods

Kelly A. Patyk, Mary J. McCool-Eye, David D. South, Christopher L. Burdett, Susan A. Maroney, Andrew Fox, Grace Kuiper, Sheryl Magzamen

10-12-2020

https://doi.org/10.4081/gh.2020.913

3207

PDF: 1055

HTML: 125
Priority areas for surveillance and prevention of avian influenza during the water-bird migration season in Pakistan

Tariq Abbas, Hendrik Wilking, Christoph Staubach, Mario Ziller, Franz Josef Conraths

107-116

01-11-2011

https://doi.org/10.4081/gh.2011.162

1733

PDF: 851
Ecological factors associated with pandemic influenza A (H1N1) hospitalization rates in California, USA: a geospatial analysis

Paul J. Maliszewski, Ran Wei

95-105

01-11-2011

https://doi.org/10.4081/gh.2011.161

1543

PDF: 914
Spatial comparison of London’s three waves of Spanish flu

Walter Peterson

19-10-2023

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

1000

PDF: 441

HTML: 267
Vulnerability to COVID-19 in Pernambuco, Brazil: A geospatial evaluation supported by multiple-criteria decision aid methodology

Ciro José Jardim de Figueiredo, Caroline Maria de Miranda Mota, Amanda Gadelha Ferreira Rosa, Arthur Pimentel Gomes de Souza, Simone Maria da Silva Lima

14-01-2022

https://doi.org/10.4081/gh.2022.1000

2283

PDF: 341

HTML: 43
Spatio-temporal analysis of pneumonia and influenza hospitalizations in Ontario, Canada

Eric J. Crighton, Susan J. Elliott, Pavlos Kanaroglou, Rahim Moineddin, Ross E.G. Upshur

191-202

01-05-2008

https://doi.org/10.4081/gh.2008.243

2209

PDF: 966
COVID-19: Past, present and future

Robert Bergquist

09-09-2022

https://doi.org/10.4081/gh.2022.1147

736

PDF: 361

HTML: 100
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

1570

PDF: 981
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

1336

PDF: 792
Identifying areas of Australia at risk for H5N1 avian influenza infection from exposure to nomadic waterfowl moving throughout the Australo-Papuan region

Iain J. East, Samuel A. Hamilton, Louise A. Sharp, Michael G. Garner

17-27

01-11-2008

https://doi.org/10.4081/gh.2008.228

1423

PDF: 1399
Agro-ecological features of the introduction and spread of the highly pathogenic avian influenza (HPAI) H5N1 in northern Nigeria

Giuliano Cecchi, Albert Ilemobade, Yvon Le Brun, Lenny Hogerwerf, Jan Slingenbergh

7-16

01-11-2008

https://doi.org/10.4081/gh.2008.227

1833

PDF: 967
Identifying areas of Australia at risk of H5N1 avian influenza infection from exposure to migratory birds: a spatial analysis

Iain J. East, Samuel Hamilton, Graeme Garner

203-213

01-05-2008

https://doi.org/10.4081/gh.2008.244

1626

PDF: 986
Contacts between poultry farms, their spatial dimension and their relevance for avian influenza preparedness

Lena Fiebig, Timo Smieszek, Jennifer Saurina, Jan Hattendorf, Jakob Zinsstag

79-95

01-11-2009

https://doi.org/10.4081/gh.2009.212

1659

PDF: 739
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

1136

PDF: 555

HTML: 24
Geospatial modelling to estimate the territory at risk of establishment of influenza type A in Mexico - An ecological study

Enrique Ibarra-Zapata, Darío Gaytán-Hernández, Verònica Gallegos-García, Claudia Elena González-Acevedo, Thuluz Meza-Menchaca, María Judith Rios-Lugo, Héctor Hernández-Mendoza

14-05-2021

https://doi.org/10.4081/gh.2021.956

1751

PDF: 474

HTML: 25
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

5233

PDF: 1272
Reducing bias in risk indices for COVID-19

Michał Paweł Michalak, Jack Cordes, Agnieszka Kulawik, Sławomir Sitek, Sławomir Pytel, Elżbieta Zuzańska-Żyśko, Radosław Wieczorek

14-01-2022

https://doi.org/10.4081/gh.2022.1013

2582

PDF: 252

Appendix: 319

HTML: 28
Impact of the COVID-19 pandemic on the number of births in Pernambuco Brazil

Heitor Victor Veiga da Costa, Cristine Vieira do Bonfim, Wilson Fusco, Morvan de Melo Moreira, Fernando Maciano de Paula Neto

15-06-2022

https://doi.org/10.4081/gh.2022.1069

833

PDF: 338

HTML: 48
Continent-wide association of H5N1 outbreaks in wild and domestic birds in Europe

Richard A. J. Williams, Xiang-Ming Xiao, A. Townsend Peterson

247-253

01-05-2011

https://doi.org/10.4081/gh.2011.177

1364

PDF: 714
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

970

PDF: 389

HTML: 14
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

2137

PDF: 818
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

960

PDF: 135

HTML: 18
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

1492

PDF: 600

HTML: 43
Spatial association between the incidence rate of COVID-19 and poverty in the SÃ£o Paulo municipality, Brazil

Marcos César Ferreira

26-11-2020

https://doi.org/10.4081/gh.2020.921

7003

PDF: 1240

Appendix: 97

HTML: 22
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

5195

PDF: 704

Appendix: 302

HTML: 37
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

1962

PDF: 476

Appendix: 200

HTML: 96
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

2248

PDF: 698

HTML: 87
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

2623

PDF: 651

HTML: 5
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

2293

PDF: 427

HTML: 40
Assessment of the supply/demand balance of medical resources in Beijing from the perspective of hierarchical diagnosis and treatment

Yuehan Jiang, Xinyu Cai, Yanhui Wang, Junwu Dong, Mengqin Yang

13-10-2023

https://doi.org/10.4081/gh.2023.1228

1118

PDF: 485

HTML: 92
A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment

Jerry Enoe , Michael Sutherland, Dexter Davis, Bheshem Ramlal, Charisse Griffith-Charles , Keston H. Bhola, Elsai Mati Asefa

28-03-2024

https://doi.org/10.4081/gh.2024.1264

2365

PDF: 557

HTML: 61
Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models

Xavier Barber, David Conesa, Silvia Lladosa, Antonio Lòpez-Quílez

18-04-2016

https://doi.org/10.4081/gh.2016.415

3322

PDF: 1587

HTML: 2222
Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study

João Batista Cavalcante Filho, Marco Aurélio de Oliveira Góes, Damião da Conceição Araújo, Marcus Valerius da Silva Peixoto, Marco Antônio Prado Nunes

13-07-2023

https://doi.org/10.4081/gh.2023.1206

1532

PDF: 634

Supplementary Materials: 52

HTML: 30
Asthmatic symptoms and air pollution: a panel study on children living in the Italian Po Valley

Andrea Ranzi, Anna Freni Sterrantino, Francesco Forastiere, Claudio Sartini, Giovanna Casale, Rino Cavallini, Aldo De Togni, Lorenza Gallo, Paolo Lauriola

26-11-2015

https://doi.org/10.4081/gh.2015.366

3194

PDF: 1324

HTML: 1239
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

1147

PDF: 355

HTML: 41
From Snow’s map of cholera transmission to dynamic catchment boundary delineation: current front lines in spatial analysis

Behzad Kiani, Colleen Lau, Robert Bergquist

26-10-2023

https://doi.org/10.4081/gh.2023.1247

1282

PDF: 592

HTML: 22
Human infections and co-infections with helminths in a rural population in Guichi, Anhui Province, China

Yi Hu, Rui Li, Michael P. Ward, Yue Chen, Henry Lynn, Decheng Wang, Gengxin Chen, Zonggui He, Liqian Sun, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang

04-11-2015

https://doi.org/10.4081/gh.2015.374

2211

PDF: 1104

HTML: 968
Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate

I Gede Nyoman Mindra Jaya, Yudhie Andriyana, Bertho Tantular

22-03-2022

https://doi.org/10.4081/gh.2022.1070

1169

PDF: 328

HTML: 31
Identification and mapping of objects targeted for surveillance and their role as risk factors for brucellosis in livestock farms in Kazakhstan

Aizada A. Mukhanbetkaliyeva, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Zhanat S. Adilbekov, Assylbek A. Zhanabayev, Assem Z. Abenova, Fedor I. Korennoy, Sarsenbay K. Abdrakhmanov

08-11-2024

https://doi.org/10.4081/gh.2024.1335

954

PDF: 284

HTML: 40
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

1633

PDF: 782

HTML: 285
Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis

Isabelle Lebert, Séverine Bord, Christine Saint-Andrieux, Eva Cassar, Patrick Gasqui, Frédéric Beugnet, Karine Chalvet-Monfray, Sophie O. Vanwambeke, Gwenaël Vourc’h, Magalie René-Martellet

17-05-2022

https://doi.org/10.4081/gh.2022.1058

5544

PDF: 2093

Appendix: 263

HTML: 212
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

1035

PDF: 563

HTML: 13
Flexible scan statistic with a restricted likelihood ratio for optimized COVID-19 surveillance

Ernest Akyereko, Frank B. Osei, Kofi M. Nyarko, Alfred Stein

26-11-2024

https://doi.org/10.4081/gh.2024.1265

558

PDF: 151

Supplementary Materials: 71

HTML: 21
Do contrasting patterns of migration movements and disease outbreaks between congeneric waterfowl species reflect differing immunity?

Shenglai Yin, Yanjie Xu, Nyambyar Batbayar, John Y. Takekawa, Yali Si, Diann J. Prosser, Scott H. Newman, Herbert H.T. Prins, Willem F. de Boer

11-05-2021

https://doi.org/10.4081/gh.2021.909

1449

PDF: 677

HTML: 8
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

1256

PDF: 279

Appendix: 221

HTML: 8
Spatial variations of COVID-19 risk by age in Toronto, Canada

Nushrat Nazia

20-07-2022

https://doi.org/10.4081/gh.2022.1100

752

PDF: 295

Appendix: 115

HTML: 110
Exploring geomasking methods for geoprivacy: a pilot study in an environment with built features

Alok Tiwari, Sohail Ahmad, Emad Qurunflah, Mansour Helmi, Ayad Almaimani, Alaa Alaidroos, Majed Mustafa Hallawani

17-10-2023

https://doi.org/10.4081/gh.2023.1205

854

PDF: 447

HTML: 126
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

1833

PDF: 510

HTML: 228
Revealing spatio-temporal patterns of rabies spread among various categories of animals in the Republic of Kazakhstan, 2010-2013

Sarsenbay K. Abdrakhmanov, Kanatzhan K. Beisembayev, Fedor I. Ðšorennoy, Gulzhan N. Yessembekova, Dosym B. Ðšushubaev, Ablaikhan S. Ðšadyrov

31-05-2016

https://doi.org/10.4081/gh.2016.455

2214

PDF: 1106

HTML: 1280

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