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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

  4676

  PDF: 1566

  HTML: 1173

• FleaTickRisk: a meteorological model developed to monitor and predict the activity and density of three tick species and the cat flea in Europe

  Frédéric Beugnet, Karine Chalvet-Monfray, Harilaos Loukos

  97-113

  01-11-2009

  https://doi.org/10.4081/gh.2009.213

  2993

  PDF: 1289
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  A Bayesian spatial ecological analysis of social conditions, infection burden and COVID-19 mortality across mainland Scottish councils 2020-2021

  Zhiyuan Luo, Yancheng Liu, Wenqi Xu

  10-06-2026

  https://doi.org/10.4081/gh.2026.1477

  179

  PDF: 94

  Supplementary Materials: 20

  HTML: 0
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  Predicting the spatial distribution of Biomphalaria straminea, a potential intermediate host for Schistosoma mansoni, in China

  Mohamed R. Habib, Yun-Hai Guo, Shan Lv, Wen-Biao Gu, Xiao-Heng Li, Xiao-Nong Zhou

  29-11-2016

  https://doi.org/10.4081/gh.2016.453

  4068

  PDF: 1568

  HTML: 1148
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  Local landscape effects on population dynamics of Ixodes ricinus

  Naveed Asghar, Mona Petersson, Magnus Johansson, Patrik Dinnetz

  21-11-2016

  https://doi.org/10.4081/gh.2016.487

  3456

  PDF: 1606

  HTML: 841
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  A dynamic, climate-driven model of Rift Valley fever

  Joseph Leedale, Anne E. Jones, Cyril Caminade, Andrew P. Morse

  31-03-2016

  https://doi.org/10.4081/gh.2016.394

  4896

  PDF: 2115

  Appendix: 594

  HTML: 1598
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  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

  823

  PDF: 439

  HTML: 34
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  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

  669

  PDF: 356

  Supplementary materials: 53

  HTML: 14
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  Ecological niche model of Phlebotomus perniciosus, the main vector of canine leishmaniasis in north-eastern Italy

  Manuela Signorini, Rudi Cassini, Michele Drigo, Antonio Frangipane di Regalbono, Mario Pietrobelli, Fabrizio Montarsi, Anna-Sofie Stensgaard

  193-201

  01-11-2014

  https://doi.org/10.4081/gh.2014.16

  4013

  PDF: 1788
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  Snakebite epidemiology in the State of Mexico, Mexico 2003-2024

  Aldo Gómez-Benitez, Erika Adriana Reyes-Velázquez, Edgar Oviedo-Hernández, Laura Sonia Arzate-Garay, Justin Lloyd Rheubert, Oswaldo Hernández-Gallegos

  09-04-2026

  https://doi.org/10.4081/gh.2026.1468

  877

  PDF: 288

  Supplementary Materials: 174

  HTML: 17
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  Spatial analysis for the epidemiological study of cardiovascular diseases: A systematic literature search

  Carlos Mena, Cesar Sepúlveda, Eduardo Fuentes, Yony Ormazábal, Iván Palomo

  07-05-2018

  https://doi.org/10.4081/gh.2018.587

  5541

  PDF: 2729

  HTML: 810
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  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

  2038

  PDF: 638

  HTML: 24
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  Measuring neighborhood deprivation for childhood health and development - scale implications in rural and urban context

  Alexandra Ursache, Seann Regan, Allison De Marco, Dustin T. Duncan, The Family Life Project Key Investigators

  11-03-2021

  https://doi.org/10.4081/gh.2021.926

  2930

  PDF: 1101

  HTML: 67
• 

  Spatial association between COVID-19 incidence rate and nighttime light index

  Amornrat Luenam, Nattapong Puttanapong

  18-03-2022

  https://doi.org/10.4081/gh.2022.1066

  2379

  PDF: 717

  HTML: 98
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  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

  3778

  PDF: 1939

  HTML: 2262
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  Climate and the distribution of vector-borne diseases: what's in store?

  Robert Bergquist

  08-05-2017

  https://doi.org/10.4081/gh.2017.549

  3407

  PDF: 1488

  HTML: 854
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  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

  3395

  PDF: 1745

  HTML: 206
• 

  Projecting malaria hazard from climate change in eastern Africa using large ensembles to estimate uncertainty

  Joseph Leedale, Adrian M. Tompkins, Cyril Caminade, Anne E. Jones, Grigory Nikulin, Andrew P. Morse

  31-03-2016

  https://doi.org/10.4081/gh.2016.393

  4723

  PDF: 1935

  HTML: 2561
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  Comparing the accuracy of food outlet datasets in an urban environment

  Michelle S. Wong, Jennifer M. Peyton, Timothy M. Shields, Frank C. Curriero, Kimberly A. Gudzune

  11-05-2017

  https://doi.org/10.4081/gh.2017.546

  2382

  PDF: 1150

  HTML: 975
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  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

  694

  PDF: 342

  Supplementary materials: 96

  HTML: 11
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  The spatial distribution of Schistosoma mansoni infection in four regions of western Côte d'Ivoire

  Rufin K. Assaré, Ying-Si Lai, Ahoua Yapi, Yves-Nathan T. Tian-Bi, Mamadou Ouattara, Patrick K. Yao, Stefanie Knopp, Penelope Vounatsou, Jürg Utzinger, Eliézer K. N'Goran

  03-06-2015

  https://doi.org/10.4081/gh.2015.345

  4536

  PDF: 1899

  HTML: 1245

• 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

  1144

  PDF: 503

  HTML: 104
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  Spatial distribution and identifying biochemical factors affecting haemoglobin levels among women of reproductive age for each province in Indonesia: A geospatial analysis

  Muhammad Nur Aidi, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Anwar Fitrianto, Khalilah Nurfadilah, Aya Yuriestia Arifin

  30-11-2022

  https://doi.org/10.4081/gh.2022.1118

  2260

  PDF: 1131

  HTML: 76

• 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

  3142

  PDF: 931

  HTML: 121
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  Dynamic risk model for Rift Valley fever outbreaks in Kenya based on climate and disease outbreak data

  David Gikungu, Jacob Wakhungu, Donald Siamba, Edward Neyole, Richard Muita, Bernard Bett

  31-05-2016

  https://doi.org/10.4081/gh.2016.377

  3326

  PDF: 1515

  HTML: 1484
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  Does mobility restriction significantly control infectious disease transmission? Accounting for non-stationarity in the impact of COVID-19 based on Bayesian spatially varying coefficient models

  I Gede Nyoman Mindra Jaya, Anna Chadidjah, Farah Kristiani, Gumgum Darmawan, Jane Christine Princidy

  25-05-2023

  https://doi.org/10.4081/gh.2023.1161

  1469

  PDF: 623

  HTML: 26
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  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

  1865

  PDF: 635

  HTML: 48
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  Spatiotemporal patterns of mortality associated with chronic non-communicable diseases and child malnutrition at the municipal level in Mexico

  José Mauricio Galeana-Pizaña, Leslie Verdeja-Vendrell, Lizbeth Ixchel Díaz-Trejo, Carlos Anzaldo, Daniela Figueroa, Aldo Daniel Jiménez-Ortega

  17-05-2022

  https://doi.org/10.4081/gh.2022.1087

  1796

  PDF: 1023

  Appendix: 197

  HTML: 74
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  Spatial inequalities in cancer with special reference to lung cancer across Europe and their implications for environmental health policy

  Dimitrios Ntokos

  14-04-2026

  https://doi.org/10.4081/gh.2026.1453

  649

  PDF: 265

  Supplementary materials: 34

  HTML: 11
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  The Labin Region, an ecologically vulnerable geographical area in Croatia: Mortality characteristics in an area polluted by industrial over a 40-year period

  Toni Buterin, Robert Doričić, Dalibor Broznić, Tanja Ćorić, Amir Muzur

  17-05-2022

  https://doi.org/10.4081/gh.2022.1082

  1242

  PDF: 657

  HTML: 91
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  Vector-borne diseases in a warmer world: Will they stay or will they go?

  Robert Bergquist, Anna-Sofie Stensgaard, Laura Rinaldi

  07-05-2018

  https://doi.org/10.4081/gh.2018.699

  3042

  PDF: 1336

  HTML: 227

• Spatial-temporal risk factors in the occurrence of rabies in Mexico

  Reyna Ortega-Sánchez, Isabel Bárcenas-Reyes, Jesús Luna-Cozar, Edith Rojas-Anaya, José Quintín Cuador-Gil, Germinal Jorge Cantó-Alarcón, Nerina Veyna-Salazar, Sara González-Ruiz, Feliciano Milián-Suazo

  30-01-2024

  https://doi.org/10.4081/gh.2024.1245

  4828

  PDF: 1451

  HTML: 1104