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Importance of individual analysis of environmental and climatic factors affecting the density of Leishmania vectors living in the same geographical area: the example of Phlebotomus ariasi and P. perniciosus in northeast Spain

Cristina Ballart, Irene Guerrero, Xavier Castells, Sergio Baròn, Soledad Castillejo, M. Magdalena Alcover, Montserrat Portús, Montserrat Gállego

389-403

01-05-2014

https://doi.org/10.4081/gh.2014.28

2637

PDF: 1096
Predictive risk mapping of human leptospirosis using support vector machine classification and multilayer perceptron neural network

Mehrdad Ahangarcani, Mahdi Farnaghi, Mohammad Reza Shirzadi, Petter Pilesjö, Ali Mansourian

14-05-2019

https://doi.org/10.4081/gh.2019.711

2457

PDF: 1126

APPENDIX: 290

HTML: 174
Rift Valley fever in a zone potentially occupied by Aedes vexans in Senegal: dynamics and risk mapping

Cécile Vignolles, Jean-Pierre Lacaux, Yves M. Tourre, Guillaume Bigeard, Jacques-André Ndione, Murielle Lafaye

211-220

01-05-2009

https://doi.org/10.4081/gh.2009.221

2448

PDF: 861
Locating irregularly shaped clusters of infection intensity

Niko Yiannakoulias, Shona Wilson, H. Curtis Kariuki, Joseph K. Mwatha, John H. Ouma, Eric Muchiri, Gachuhi Kimani, Birgitte J. Vennervald, David W. Dunne

191-200

01-05-2010

https://doi.org/10.4081/gh.2010.200

1113

PDF: 672
Prioritizing the location of vaccination centres during the COVID-19 pandemic by bike in the Netherlands

Adel Al-Huraibi, Sherif Amer, Justine Blanford

03-03-2025

https://doi.org/10.4081/gh.2025.1293

1517

PDF: 392

HTML: 70
Geographical information systems-based spatial analysis and implications for syphilis interventions in Jiangsu province, People's Republic of China

Yue-Jia Cheng, Jessie Norris, Chang-Jun Bao, Qi Liang, Jian-Li Hu, Ying Wu, Fen-Yang Tang, Wen-Dong Liu, Ke-Qin Ding, Yang Zhao, Zhi-Hang Peng, Rong-Bin Yu, Hua Wang, Hong-Bing Shen, Feng Chen

63-72

01-11-2012

https://doi.org/10.4081/gh.2012.105

2025

PDF: 954
Modelling of the distribution of Biomphalaria glabrata and Biomphalaria straminea in the metropolitan region of Recife, Pernambuco, Brazil

Verônica Santos Barbosa, Ricardo José de Paula Souza e Guimarães, Rodrigo Moraes Loyo, Constança SimÃµes Barbosa

25-11-2016

https://doi.org/10.4081/gh.2016.490

2709

PDF: 1084

HTML: 1598
Geomapping of trematode-induced granulomatous anterior uveitis - a newly identified cause of blindness among children in the Pudukkottai district of the Tamil Nadu State, India

Jayakumar Duraisamy, Sivakumar Kavitha, Sivakumar Rathinam, Gnanam Vasanthi

55-63

01-11-2009

https://doi.org/10.4081/gh.2009.210

1182

PDF: 845
A spatial, statistical approach to map the risk of milk contamination by β-hexachlorocyclohexane in dairy farms

Sabrina Battisti, Antonino Caminiti, Giancarlo Ciotoli, Valentina Panetta, Pasquale Rombolá, Marcello Sala, Alessandro Ubaldi, Paola Scaramozzino

77-86

01-11-2013

https://doi.org/10.4081/gh.2013.56

1921

PDF: 996
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

878

PDF: 369

HTML: 48
Ecological study and risk mapping of visceral leishmaniasis in an endemic area of Iran based on a geographical information systems approach

Abdoreza Salahi-Moghaddam, Mehdi Mohebali, Ali Moshfae, Majid Habibi, Zabiholah Zarei

71-77

01-11-2010

https://doi.org/10.4081/gh.2010.188

1872

PDF: 814
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

1464

PDF: 636

HTML: 92
A geographically weighted regression approach to investigate air pollution effect on lung cancer: A case study in Portugal

Diogo Cardoso, Marco Painho, Rita Roquette

13-05-2019

https://doi.org/10.4081/gh.2019.701

3507

PDF: 1613

APPENDIX: 312

HTML: 214
Predicting risk habitats for the transmission of the small liver fluke, Dicrocoelium dendriticum to grazing ruminants

Börje Ekstam, Beatha Johansson, Patrik Dinnétz, Patrik Ellström

125-131

01-11-2011

https://doi.org/10.4081/gh.2011.164

1870

PDF: 1042
Modelling the ecological niche of hookworm in Brazil based on climate

Ntombi B. Mudenda, John B. Malone, Michael T. Kearney, Paula D. Mischler, Prixia del Mar Nieto, Jennifer C. McCarroll, Penelope Vounatsou

S111-S123

01-09-2012

https://doi.org/10.4081/gh.2012.129

1922

PDF: 934
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

1181

PDF: 578

HTML: 24
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

1547

PDF: 870
The impact of geographic mobility on the spread of COVID-19 in Hong Kong

Paulina Pui Yun Wong, Chien-Tat Low, Poh-Chin Lai

14-02-2022

https://doi.org/10.4081/gh.2022.1022

2789

PDF: 401

HTML: 112
Development of the first georeferenced map of Rhipicephalus (Boophilus) spp. in Mexico from 1970 to date and prediction of its spatial distribution

Yazmin Alcala-Canto, Juan Antonio Figueroa-Castillo, Froylán Ibarra-Velarde, Yolanda Vera-Montenegro, María Eugenia Cervantes-Valencia, Abdelfattah Z.M. Salem, Jorge Alfredo Cuéllar-Ordaz

07-05-2018

https://doi.org/10.4081/gh.2018.624

4164

PDF: 1037

HTML: 251
Trends in obesity at the national and local level among South Korean adolescents

Kyungsoo Han, Sejin Park, Jürgen Symanzik, Sookhee Choi, Jeongyong Ahn

31-05-2016

https://doi.org/10.4081/gh.2016.381

2596

PDF: 1147

HTML: 1216
Modeling the distribution of Culex tritaeniorhynchus to predict Japanese encephalitis distribution in the Republic of Korea

Penny Masuoka, Terry A. Klein, Heung-Chul Kim, David M. Claborn, Nicole Achee, Richard Andre, Judith Chamberlin, Jennifer Small, Assaf Anyamba, Dong-Kyu Lee, Suk H. Yi, Michael Sardelis, Young-Ran Ju, John Grieco

45-57

01-11-2010

https://doi.org/10.4081/gh.2010.186

2891

PDF: 1216
Redefining climate regions in the United States of America using satellite remote sensing and machine learning for public health applications

Alexander Liss, Magaly Koch, Elena N. Naumova

S467-S659

01-12-2014

https://doi.org/10.4081/gh.2014.294

3010

PDF: 1217
Spatiotemporal analysis of rabies in cattle in central Mexico

Isabel Bárcenas-Reyes, Diana Paulina Nieves-Martínez, José Quintín Cuador-Gil, Elizabeth Loza-Rubio, Sara González-Ruíz, Germinal Jorge Cantò-Alarcòn, Feliciano Milian-Suazo

06-11-2019

https://doi.org/10.4081/gh.2019.805

2597

PDF: 1114

HTML: 105
Satellite imagery technology in public health: analysis of site catchment areas for assessment of poliovirus circulation in Nigeria and Niger

Marina Takane, Shizu Yabe, Yumiko Tateshita, Yusuke Kobayashi, Akihiko Hino, Kazuo Isono, Hiromasa Okayasu, Ousmane M. Diop, Takeo Tadono

21-11-2016

https://doi.org/10.4081/gh.2016.462

2445

PDF: 1375

HTML: 1141
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

1301

PDF: 994
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

2427

PDF: 991
The spatial and seasonal distribution of Bulinus truncatus, Bulinus forskalii and Biomphalaria pfeifferi, the intermediate host snails of schistosomiasis, in N'Djamena, Chad

Wendelin Moser, Helena Greter, Christian Schindler, Fiona Allan, Bongo N. R. Ngandolo, Daugla D. Moto, Jürg Utzinger, Jakob Zinsstag

109-118

01-11-2014

https://doi.org/10.4081/gh.2014.9

5628

PDF: 1857
Remote sensing and climate data as a key for understanding fasciolosis transmission in the Andes: review and update of an ongoing interdisciplinary project

Márius V. Fuentes

59-70

01-11-2006

https://doi.org/10.4081/gh.2006.281

1563

PDF: 929
GIS modeling for canine dirofilariosis risk assessment in central Italy

Michele Mortarino, Vincenzo Musella, Valeria Costa, Claudio Genchi, Giuseppe Cringoli, Laura Rinaldi

253-261

01-05-2008

https://doi.org/10.4081/gh.2008.248

1976

PDF: 826
Increased cancer mortality in Taiwanese inter-island migrants

Meng-Kan Chen, Hsiu-Hsi Chen

251-263

01-05-2013

https://doi.org/10.4081/gh.2013.84

1249

PDF: 747
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

3012

PDF: 1075
Upscale or downscale: applications of fine scale remotely sensed data to Chagas disease in Argentina and schistosomiasis in Kenya

Uriel Kitron, Julie A. Clennon, M. Carla Cecere, Ricardo E. Gürtler, Charles H. King, Gonzalo Vazquez-Prokopec

49-58

01-11-2006

https://doi.org/10.4081/gh.2006.280

2247

PDF: 799
Multiple testing in disease mapping and descriptive epidemiology

Dolores Catelan, Annibale Biggeri

219-229

01-05-2010

https://doi.org/10.4081/gh.2010.202

1402

PDF: 833
Adjusted, non-Euclidean cluster detection of Vibrio parahaemolyticus in the Chesapeake Bay, USA

Anton Kvit, Benjamin Davis, John Jacobs, Frank C. Curriero

06-11-2019

https://doi.org/10.4081/gh.2019.783

1480

PDF: 620

HTML: 71
Assessments of residential and global positioning system activity space for food environments, body mass index and blood pressure among low-income housing residents in New York City

Kosuke Tamura, Brian Elbel, Jessica K. Athens, Pasquale E. Rummo, Basile Chaix, Seann D. Regan, Yazan A. Al-Ajlouni, Dustin T. Duncan

09-11-2018

https://doi.org/10.4081/gh.2018.712

2181

PDF: 987

HTML: 61
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand

Worrayot Darasawang, Wongsa Laohasiriwong, Kittipong Sornlorm , Warangkana Sungsitthisawad, Roshan Kumar Mahato

27-01-2025

https://doi.org/10.4081/gh.2025.1329

2565

PDF: 767

Supplementary Materials: 501

HTML: 228
Population-level alcohol consumption and suicide mortality rate in South Korea: An application of multivariable spatial regression model

Yunho Yeom

14-05-2019

https://doi.org/10.4081/gh.2019.746

1525

PDF: 867

HTML: 36
Distribution of Fasciola hepatica in Swedish dairy cattle and associations with pasture management factors

Adam NovobilskÃ½, Sofia Sollenberg, Johan Höglund

293-300

19-03-2015

https://doi.org/10.4081/gh.2015.351

3027

PDF: 1401
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

1668

PDF: 800

HTML: 288
Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases

Néstor DelaPaz-Ruíz, Ellen-Wien Augustijn, Mahdi Farnaghi, Sheheen A. Abdulkareem, Raul Zurita Milla

11-02-2025

https://doi.org/10.4081/gh.2025.1326

1741

PDF: 414

Supplementary Materials: 291

HTML: 197
Space-time clustering characteristics of dengue based on ecological, socio-economic and demographic factors in northern Sri Lanka

Sumiko Anno, Keiji Imaoka, Takeo Tadono, Tamotsu Igarashi, Subramaniam Sivaganesh, Selvam Kannathasan, Vaithehi Kumaran, Sinnathamby Noble Surendran

26-11-2015

https://doi.org/10.4081/gh.2015.376

3489

PDF: 1987

HTML: 1261
Geospatial Health: achievements, innovations, priorities

Sherif Amer, Ellen-Wien Augustijn, Carmen Anthonj, Nils Tjaden, Justine Blanford, Marc van den Homberg, Laura Rinaldi, Thomas van Rompay, Raúl Zurita Milla

25-10-2024

https://doi.org/10.4081/gh.2024.1355

1494

PDF: 466

HTML: 95
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

2016

PDF: 869

HTML: 886
Malignant mesothelioma and asbestos exposure in Europe: Evidence of spatial clustering

Ewa Wilk, MaÅ‚gorzata KròwczyÅ„ska

14-05-2021

https://doi.org/10.4081/gh.2021.951

3537

PDF: 1151

Appendix: 160

HTML: 520
Exploring the geographical distribution of cryptosporidiosis in the cattle population of Southern Ontario, Canada, 2011-2014

Andrea Nwosu, Olaf Berke, David L. Pearl, Lise A. Trotz-Williams

06-11-2019

https://doi.org/10.4081/gh.2019.769

1495

PDF: 629

HTML: 114
A two-stage location model covering COVID-19 sampling, transport and DNA diagnosis: design of a national scheme for infection control

Wang Fei, Lv Jiamin, Wang Chunting, Li Yuling, Xi Yuetuing

26-09-2024

https://doi.org/10.4081/gh.2024.1281

895

PDF: 284

HTML: 74
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

697

PDF: 607

HTML: 9
Does the Geohealth domain require a body of knowledge?

Ellen-Wien Augustijn-Beckers, Sherif Amer, Rob Lemmens, Robert Bergquist

29-11-2022

https://doi.org/10.4081/gh.2022.1171

1530

PDF: 554

HTML: 22
Residential mobility impacts relative risk estimates of space-time clusters of chlamydia in Kalamazoo County, Michigan

Claudio Owusu, Michael R. Desjardins, Kathleen M. Baker, Eric Delmelle

06-11-2019

https://doi.org/10.4081/gh.2019.812

1718

PDF: 747

HTML: 31
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

1522

PDF: 785

Supplementary Materials: 72

HTML: 19
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

2014

PDF: 507

Appendix: 216

HTML: 98
To what extent does climate explain variations in reported malaria cases in early 20th century Uganda?

Adrian M. Tompkins, Laragh Larsen, Nicky McCreesh, David Taylor

31-03-2016

https://doi.org/10.4081/gh.2016.407

3816

PDF: 1090

Appendix: 455

HTML: 1210
Impact of climate change on dengue fever: a bibliometric analysis

Mai Liu, Yin Zhang

19-02-2025

https://doi.org/10.4081/gh.2025.1301

2047

PDF: 599

Supplementary Materials: 281

HTML: 83
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

1737

PDF: 638

Supplementary Materials: 72

HTML: 36
Spatial abundance and human biting rate of Anopheles arabiensis and Anopheles funestus in savannah and rice agro-ecosystems of Central Tanzania

Leonard E.G. Mboera, Veneranda M. Bwana, Susan F. Rumisha, Grades Stanley, Patrick K. Tungu, Robert C. Malima

18-05-2015

https://doi.org/10.4081/gh.2015.322

2838

PDF: 1269

HTML: 1397
Immunity to poliovirus in Afghanistan: A household sampling method for serological assessment based on geographical information systems

Amalia Mendes, Ari Whiteman, Benjamin Nygren, Brian Kaplan, Imtiaz Hussain, Sajid Soofi, Maureen Martinez, Noha H. Farag

29-11-2022

https://doi.org/10.4081/gh.2022.1107

939

PDF: 599

HTML: 35
Haemonchus contortus: spatial risk distribution for infection in sheep in Europe

Laura Rinaldi, Dolores Catelan, Vincenzo Musella, Lorenzo Cecconi, Hubertus Hertzberg, Paul R. Torgerson, Fabien Mavrot, Theo de Waal, Nikolaos Selemetas, Tom Coll, Antonio Bosco, Annibale Biggeri, Giuseppe Cringoli

325-331

19-03-2015

https://doi.org/10.4081/gh.2015.355

3849

PDF: 1743
The effectiveness of the restricted policy on specific venues in Hong Kong: A spatial point pattern view

Yijia Liu, Wenzhong Shi, Anshu Zhang, Xiaosheng Zhu

29-11-2022

https://doi.org/10.4081/gh.2022.1130

714

PDF: 584

HTML: 15
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

1443

PDF: 398

HTML: 19
Future Lyme disease risk in the south-eastern United States based on projected land cover

Logan K. Stevens, Korine N. Kolivras, Yili Hong, Valerie A. Thomas, James B. Campbell, Stephen P. Prisley

14-05-2019

https://doi.org/10.4081/gh.2019.751

1887

PDF: 1113

HTML: 73
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

3467

PDF: 1380

SUPPL. MATERIAL: 387

HTML: 1078
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

2250

PDF: 442

HTML: 19
Sheep and Fasciola hepatica in Europe: the GLOWORM experience

Laura Rinaldi, Annibale Biggeri, Vincenzo Musella, Theo de Waal, Hubertus Hertzberg, Fabien Mavrot, Paul R. Torgerson, Nikolaos Selemetas, Tom Coll, Antonio Bosco, Laura Grisotto, Giuseppe Cringoli, Dolores Catelan

309-317

19-03-2015

https://doi.org/10.4081/gh.2015.353

4022

PDF: 1885
A geospatial study of the coverage of catheterization laboratory facilities (cath labs) and the travel time required to reach them in East Java, Indonesia

Andrianto Andrianto, Farizal Rizky Muharram, Chaq El Chaq Zamzam Multazam, Wigaviola Socha, Doni Firman, Ahmad Chusnu Romdhoni, Senitza Anisa Salsabilla

25-05-2023

https://doi.org/10.4081/gh.2023.1164

1133

PDF: 660

HTML: 22
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

1192

PDF: 369

HTML: 41
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

1572

PDF: 656

Supplementary Materials: 58

HTML: 31
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

2017

PDF: 1283

HTML: 176
Spatial association and modelling of under-5 mortality in Thailand, 2020

Suparerk Suerungruang, Kittipong Sornlorm, Wongsa Laohasiriwong, Roshan Kumar Mahato

31-08-2023

https://doi.org/10.4081/gh.2023.1220

1198

PDF: 671

HTML: 35
Assessing bias associated with geocoding of historical residence in epidemiology research

Daikwon Han, Matthew R. Bonner, Jing Nie, Jo L. Freudenheim

369-374

01-05-2013

https://doi.org/10.4081/gh.2013.93

1782

PDF: 985
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

853

PDF: 621

HTML: 60
Climate change and species distribution: possible scenarios for thermophilic ticks in Romania

Cristian DomÈ™a, Attila D. Sándor, Andrei D. Mihalca

31-05-2016

https://doi.org/10.4081/gh.2016.421

2709

PDF: 1234

HTML: 1673
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

1665

PDF: 800

Supplementary Materials: 101

HTML: 31
A comparison of temporal and location-based sampling strategies for global positioning system-triggered electronic diaries

Tobias Törnros, Helen Dorn, Markus Reichert, Ulrich Ebner-Priemer, Hans-Joachim Salize, Heike Tost, Andreas Meyer-Lindenberg, Alexander Zipf

21-11-2016

https://doi.org/10.4081/gh.2016.473

5715

PDF: 1201

HTML: 968
Using climate information for improved health in Africa: relevance, constraints and opportunities

Stephen J. Connor, Pietro Ceccato, Tufa Dinku, Judy Omumbo, Emily K. Grover-Kopec, Madeleine C. Thomson

17-31

01-11-2006

https://doi.org/10.4081/gh.2006.278

1241

PDF: 739
Accounting for autocorrelation in multi-drug resistant tuberculosis predictors using a set of parsimonious orthogonal eigenvectors aggregated in geographic space

Benjamin G. Jacob, Fiorella Krapp, Mario Ponce, Eduardo Gotuzzo, Daniel A. Griffith, Robert J. Novak

201-217

01-05-2010

https://doi.org/10.4081/gh.2010.201

1550

PDF: 880
Does altitude moderate the impact of lithium on suicide? A spatial analysis of Austria

Marco Helbich, Victor Blüml, Michael Leitner, Nestor D. Kapusta

209-218

01-05-2013

https://doi.org/10.4081/gh.2013.81

3764

PDF: 1237
Associations between time spent in green areas and physical activity among late middle-aged adults

Bart Dewulf, Tijs Neutens, Delfien Van Dyck, Ilse De Bourdeaudhuij, Steven Broekx, Carolien Beckx, Nico Van de Weghe

16-11-2016

https://doi.org/10.4081/gh.2016.411

2678

PDF: 1378

HTML: 866
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

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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

1301

PDF: 733
A Bayesian kriging model for estimating residential exposure to air pollution of children living in a high-risk area in Italy

Ana M. Vicedo-Cabrera, Annibale Biggeri, Laura Grisotto, Fabio Barbone, Dolores Catelan

87-95

01-11-2013

https://doi.org/10.4081/gh.2013.57

2275

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Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning

Sumiko Anno, Takeshi Hara, Hiroki Kai, Ming-An Lee, Yi Chang, Kei Oyoshi, Yousei Mizukami, Takeo Tadono

06-11-2019

https://doi.org/10.4081/gh.2019.771

5628

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APPENDIX: 241

HTML: 349
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

5049

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Japan's efforts to promote global health using satellite remote sensing data from the Japan Aerospace Exploration Agency for prediction of infectious diseases and air quality

Tamotsu Igarashi, Akihiko Kuze, Shinichi Sobue, Aya Yamamoto, Kazuhide Yamamoto, Kei Oyoshi, Keiji Imaoka, Toru Fukuda

S603-S610

01-12-2014

https://doi.org/10.4081/gh.2014.299

2615

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Geospatial Health: the first five years

Jürg Utzinger, Laura Rinaldi, John B. Malone, Stefanie J. Krauth, Thomas K. Kristensen, Giuseppe Cringoli, Robert Bergquist

137-154

01-11-2011

https://doi.org/10.4081/gh.2011.166

2718

PDF: 1013
Spatio-temporal analysis of the progression of Aujeszky's disease virus infection in wild boar of Saxony-Anhalt, Germany

Nicolai Denzin, Joachim Borgwardt, Conrad Freuling, Thomas Müller

203-213

01-11-2013

https://doi.org/10.4081/gh.2013.67

1837

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Quantifying the wind dispersal of Culicoides species in Greece and Bulgaria

E. Ducheyne, R. De Deken, S. Bécu, B. Codina, K. Nomikou, O. Mangana-Vougiaki, G. Georgiev, B.V. Purse, G. Hendrickx

177-189

01-05-2007

https://doi.org/10.4081/gh.2007.266

2388

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Epidemiology of canine heartworm (Dirofilaria immitis) infection in domestic dogs in Ontario, Canada: Geographic distribution, risk factors and effects of climate

Erin McGill, Olaf Berke, Andrew S. Peregrine, J. Scott Weese

13-05-2019

https://doi.org/10.4081/gh.2019.741

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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

3324

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A geospatial risk assessment model for leprosy in Ethiopia based on environmental thermal-hydrological regime analysis

Azeb Tadesse Argaw, E.J. Shannon, Abraham Assefa, Fekade Silassie Mikru, Berhane Kidane Mariam, John B. Malone

105-113

01-11-2006

https://doi.org/10.4081/gh.2006.285

2180

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Ecological study and risk mapping of leishmaniasis in an endemic area of Brazil based on a geographical information systems approach

Alba Valéria Machado da Silva, Monica de Avelar Figueiredo Mafra Magalhães, Reginaldo Peçanha Brazil, João Carlos Araujo Carreira

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01-11-2011

https://doi.org/10.4081/gh.2011.155

1573

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Dynamic location model for designated COVID-19 hospitals in China

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29-10-2024

https://doi.org/10.4081/gh.2024.1310

830

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Supplementary Materials: 111

HTML: 70
Spatial comparison of London’s three waves of Spanish flu

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19-10-2023

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

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HTML: 297
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

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

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S25-S30

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A spatiotemporal analysis of COVID-19 transmission in Jakarta, Indonesia for pandemic decision support

Agung Syetiawan, Mira Harimurti, Yosef Prihanto

14-01-2022

https://doi.org/10.4081/gh.2022.1042

3648

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HTML: 85
Indirect field technology for detecting areas object of illegal spills harmful to human health: application of drones, photogrammetry and hydrological models

Alessandra Capolupo, Stefania Pindozzi, Collins Okello, Lorenzo Boccia

S699-S707

01-12-2014

https://doi.org/10.4081/gh.2014.298

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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

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Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020

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https://doi.org/10.4081/gh.2022.1080

1009

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Seasonality and timing of peak abundance of Aedes albopictus in Europe: Implications to public and animal health

Mina Petrić, Els Ducheyne, Céline M. Gossner, Cedric Marsboom, GaÃ«lle Nicolas, Roger Venail, Guy Hendrickx, Francis Schaffner

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https://doi.org/10.4081/gh.2021.996

3677

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Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach

Sami Ullah, Hanita Daud, Sarat C. Dass, Habib Nawaz Khan, Alamgir Khalil

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https://doi.org/10.4081/gh.2017.567

2631

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