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Effects of weather and landscape on the equine West Nile virus infection risk in Mississippi, USA

Guiming Wang

04-11-2015

https://doi.org/10.4081/gh.2015.357

2207

PDF: 1414

HTML: 960
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

878

PDF: 462

Supplementary materials: 88

HTML: 37
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

1681

PDF: 666

HTML: 117
Mapping livestock systems, bovine and caprine diseases in Mayo-Kebbi Ouest Province, Chad

Kella Douzouné, Joseph Oloukoi, Ismaila Toko Imorou, Toure Gorgui Ba, Derrick Chefor Ymele Demeveng

03-02-2025

https://doi.org/10.4081/gh.2025.1365

3936

PDF: 1418

Supplementary Materials: 625

HTML: 204
Geostatistical modelling of the malaria risk in Mozambique: effect of the spatial resolution when using remotely-sensed imagery

Federica Giardina, Jonas Franke, Penelope Vounatsou

26-11-2015

https://doi.org/10.4081/gh.2015.333

3962

PDF: 1766

HTML: 1214
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

1793

PDF: 553

HTML: 72
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

2544

PDF: 875

HTML: 261
Use of geocoding techniques for epidemiological surveillance in the Federal District, Brazil: a case study using dengue

Lucas Sanglard, Klauss K. S. Garcia, Walter Massa Ramalho

02-09-2025

https://doi.org/10.4081/gh.2025.1403

986

PDF: 346

HTML: 64
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

1630

PDF: 868
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

1337

PDF: 637

HTML: 58
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

2904

PDF: 670

HTML: 33
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

3517

PDF: 1522

HTML: 1518
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

1898

PDF: 953

HTML: 125
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

3170

PDF: 945

HTML: 122
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

1730

PDF: 867

HTML: 45
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

1957

PDF: 823

HTML: 43
Spatial multilevel modelling male partners’ influence on women’s modern contraceptive use: a study in Angola and Zambia

Kabeya Clement Mulamba

12-05-2025

https://doi.org/10.4081/gh.2025.1340

1519

PDF: 323

HTML: 60
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

4503

PDF: 1960

APPENDIX 1: 471

APPENDIX 2: 502

HTML: 1652
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

645

PDF: 394

HTML: 39
Preferential sampling in veterinary parasitological surveillance

Lorenzo Cecconi, Annibale Biggeri, Laura Grisotto, Veronica Berrocal, Laura Rinaldi, Vincenzo Musella, Giuseppe Cringoli, Dolores Catelan

18-04-2016

https://doi.org/10.4081/gh.2016.412

2420

PDF: 1706

APPENDIX: 670

HTML: 1054
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

708

PDF: 404

Supplementary materials: 58

HTML: 16
Climate impact on malaria in northern Burkina Faso

Yves M. Tourre, Cécile Vignolles, Christian Viel, Flore Mounier

27-11-2017

https://doi.org/10.4081/gh.2017.600

2928

PDF: 998

HTML: 751
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

3802

PDF: 990

HTML: 732
Modelling geographical heterogeneity of diabetes prevalence and socio-economic and built environment determinants in Saudi City - Jeddah

Abdulkader Murad, Fazlay Faruque, Ammar Naji, Alok Tiwari, Mansour Helmi, Ammar Dahlan

16-05-2022

https://doi.org/10.4081/gh.2022.1072

2247

PDF: 1082

HTML: 164
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

3516

PDF: 1785
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

2598

PDF: 1144

HTML: 114
Spatial analysis of bluetongue cases and vaccination of Swiss cattle in 2008 and 2009

Katriina J. E. Willgert, Birgit Schroedle, Heinzpeter Schwermer

227-237

01-05-2011

https://doi.org/10.4081/gh.2011.175

1513

PDF: 1068
Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions

Lucy Chimoyi, Zvifadzo Matsena-Zingoni, Salome Charalambous, Edmore Marinda, Samuel Manda, Eustasius Musenge

29-08-2022

https://doi.org/10.4081/gh.2022.1084

2476

PDF: 606

Supplementary 1: 164

Supplementary 2: 371

HTML: 180
Assessing the risk for dengue fever based on socioeconomic and environmental variables in a geographical information system environment

Hassan M. Khormi, Lalit Kumar

171-176

01-05-2012

https://doi.org/10.4081/gh.2012.135

3662

PDF: 1433
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

3479

PDF: 1773
The use of remotely sensed environmental data in the study of malaria

Vanessa Machault, Cécile Vignolles, François Borchi, Penelope Vounatsou, Frédéric Pages, Sébastien Briolant, Jean-Pierre Lacaux, Christophe Rogier

151-168

01-05-2011

https://doi.org/10.4081/gh.2011.167

6032

PDF: 2306
Child mortality inequalities across Rwanda districts: a geoadditive continuous-time survival analysis

François Niragire, Thomas N.O. Achia, Alexandre Lyambabaje, Joseph Ntaganira

11-05-2017

https://doi.org/10.4081/gh.2017.450

3239

PDF: 1881

HTML: 1400
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

3495

PDF: 1623

HTML: 842
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

2194

PDF: 1382
Environmental determinants of the distribution of Chagas disease vectors in south-eastern Guatemala

Dulce Maria Bustamante, Maria Carlota Monroy, Antonieta Guadalupe Rodas, Jaime Abraham Juarez, John B. Malone

199-211

01-05-2007

https://doi.org/10.4081/gh.2007.268

3655

PDF: 1098
Geospatial tools and Chagas control: a critical comment on the paper of Weinberg et al., Evaluation and planning of Chagas control activities using geospatial tools. Geospat Health 2019;14:229-238

David E. Gorla

22-06-2020

https://doi.org/10.4081/gh.2020.901

895

PDF: 552

HTML: 27
Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring

Jihong Zhang, Guohua Yin, Qiuhua Zhang, Juan Fang, Duo Jiang, Chao Yang, Na Sun

28-04-2025

https://doi.org/10.4081/gh.2025.1286

1556

PDF: 475

HTML: 102
Spatio-temporal cluster detection of chickenpox in Valencia, Spain in the period 2008-2012

Adina Iftimi, Francisco Martínez-Ruiz, Ana Míguez Santiyán, Francisco Montes

18-05-2015

https://doi.org/10.4081/gh.2015.341

3175

PDF: 1423

HTML: 1208
Spatiotemporal heterogeneity of SARS-CoV-2 diffusion at the city level using geographically weighted Poisson regression model: The case of Bologna, Italy

Addisu Jember Zeleke, Rossella Miglio, Pierpaolo Palumbo, Paolo Tubertini, Lorenzo Chiari, Bologna MODELS4COVID Study Group of the University of Bologna and the National Institute for Nuclear Physics (INFN)

01-12-2022

https://doi.org/10.4081/gh.2022.1145

1859

PDF: 987

Appendix: 150

HTML: 84
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

3027

PDF: 1040

HTML: 807
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

5334

PDF: 2322

HTML: 598
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

1846

PDF: 493

Appendix: 336

HTML: 18
Mapping healthcare resources and regional mortality in Europe: a spatial study of current service coverage

Alicja Olejnik, Agata Żółtaszek

04-12-2025

https://doi.org/10.4081/gh.2025.1425

422

PDF: 270

Supplementary materials: 39

HTML: 41
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

14-05-2021

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

4871

PDF: 1423

HTML: 124
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

2801

PDF: 614

HTML: 62
Dynamic effect of economic growth on the persistence of suicide rates

Tzu-Yi Yang, Yu-Tai Yang, Ssu-Han Chen, Yu-Ting Lan, Chia-Jui Peng

25-05-2023

https://doi.org/10.4081/gh.2023.1201

1046

PDF: 753

HTML: 77
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

3824

PDF: 1956

HTML: 2264
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

2863

PDF: 1348

APPENDIX: 495

HTML: 1162
Correlation analysis of air pollutant index levels and dengue cases across five different zones in Selangor, Malaysia

Loshini Thiruchelvam, Sarat C. Dass, Rafdzah Zaki, Abqariyah Yahya, Vijanth S. Asirvadam

07-05-2018

https://doi.org/10.4081/gh.2018.613

2436

PDF: 1362

HTML: 341
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

2746

PDF: 1352

HTML: 189
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

3682

PDF: 1299

HTML: 75
Application of a degree-day model of West Nile virus transmission risk to the East Coast of the United States of America

Sarah K. Konrad, Scott N. Miller

15-20

01-11-2012

https://doi.org/10.4081/gh.2012.100

1543

PDF: 851
Geospatial tools for the identification of a malaria corridor in Estado Sucre, a Venezuelan north-eastern state

Laura Delgado-Petrocelli, Alberto Camardiel, Víctor Hugo Aguilar, Néstor Martinez, Karenia Còrdova, Santiago Ramos

169-176

01-05-2011

https://doi.org/10.4081/gh.2011.168

2595

PDF: 1033
Evaluating the utility of companion animal tick surveillance practices for monitoring spread and occurrence of human Lyme disease in West Virginia, 2014-2016

Brian Hendricks, Miguella Mark-Carew, Jamison Conley

13-11-2017

https://doi.org/10.4081/gh.2017.582

2760

PDF: 911

HTML: 761
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

273

PDF: 140

Supplementary Materials: 26

HTML: 5
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

3465

PDF: 1686

HTML: 218
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

7573

PDF: 1523

Appendix: 194

HTML: 35
Spatial patterns of intestinal parasite infections among children and adolescents in some indigenous communities in Argentina

Carlos Matías Scavuzzo, Micaela Natalia Campero, Rosana Elizabeth Maidana, María Georgina Oberto, María Victoria Periago, Ximena Porcasi

28-05-2024

https://doi.org/10.4081/gh.2024.1279

2977

PDF: 969

HTML: 94
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

1199

PDF: 615

HTML: 46
Smartphone-assisted spatial data collection improves geographic information quality: pilot study using a birth records dataset

Xiaohui Xu, Hui Hu, Sandie Ha, Daikwon Han

23-11-2016

https://doi.org/10.4081/gh.2016.482

2986

PDF: 1069

HTML: 819
Spatio-temporal variations and determinants of antenatal care utilization among adolescents in Bulawayo metropolitan area, Zimbabwe: an analysis of routine data, 2019-2024

Tariroyashe Chivanganye, Maphios Siamuchembu, Alice Gumbo, Lenka Beňová, Peter M. Macharia

11-12-2025

https://doi.org/10.4081/gh.2025.1434

584

PDF: 502

HTML: 50
Validation of an interactive map assessing the potential spread of Galba truncatula as intermediate host of Fasciola hepatica in Switzerland

Rhea Baggenstos, Tobias Dahinden, Paul R. Torgerson, Hansruedi Bär, Christina Rapsch, Gabriela Knubben-Schweizer

31-05-2016

https://doi.org/10.4081/gh.2016.418

2741

PDF: 1387

HTML: 1022
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

1674

PDF: 630

HTML: 43
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

7053

PDF: 2401

HTML: 13612
The power of interactive maps for communicating spatio-temporal data to health professionals

Nils Tjaden, Felix Geeraedts, Caroline K. Kioko, Annelies Riezebos-Brilman, Nashwan al Naiemi, Justine Blanford, Nienke Beerlage-de Jong

29-08-2024

https://doi.org/10.4081/gh.2024.1296

1428

PDF: 707

HTML: 137
Operational satellite-based temporal modelling of Aedes population in Argentina

Manuel Espinosa, Eliana Marina Alvarez Di Fino, Marcelo Abril, Mario Lanfri, Maria Victoria Periago, Carlos Marcelo Scavuzzo

09-11-2018

https://doi.org/10.4081/gh.2018.734

2114

PDF: 1309

HTML: 71
Health, environmental change and adaptive capacity; mapping, examining and anticipating future risks of water-related vector-borne diseases in eastern Africa

David Taylor, Stefan Kienberger, Jack B. Malone, Adrian M. Tompkins

18-02-2016

https://doi.org/10.4081/gh.2016.464

3723

PDF: 1686

HTML: 1122
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

867

PDF: 373

Supplementary materials: 90

HTML: 28
Shrinking risk profiles after deworming of children in Port Elizabeth, South Africa, with special reference to Ascaris lumbricoides and Trichuris trichiura

Ivan Müller, Stefanie Gall, Lindsey Beyleveld, Markus Gerber, Uwe Pühse, Rosa du Randt, Peter Steinmann, Leyli Zondie, Cheryl Walter, Jürg Utzinger

27-11-2017

https://doi.org/10.4081/gh.2017.601

3423

PDF: 899

VIDEO: 0

HTML: 683
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

3015

PDF: 1409

APPENDIX: 397

HTML: 238
Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old

André Oliveira, Antònio J.R. Cabral, Jorge M. Mendes, Maria R.O. Martins, Pedro Cabral

04-11-2015

https://doi.org/10.4081/gh.2015.365

3388

PDF: 1477

HTML: 1230
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

3906

PDF: 1797

SUPPL. MATERIAL: 476

HTML: 1091
Spatial autocorrelation patterns and factors associated with regular alcohol consumption behaviour among Thai men

Naowarat Maneenin, Warangkana Sungsitthisawad, Chanwit Maneenin, Chananya Jirapornkul, Kittipong Sornlorm, Roshan Kumar Mahato, Wongsa Laohasiriwong

26-09-2025

https://doi.org/10.4081/gh.2025.1406

769

PDF: 443

HTML: 30
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

2523

PDF: 791

HTML: 40
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

3546

PDF: 1615

HTML: 1253
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

2829

PDF: 1594

HTML: 1173
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

1930

PDF: 1273

HTML: 206
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

3012

PDF: 1803

HTML: 224
The dog and cat population on Maio Island, Cape Verde: characterisation and prediction based on household survey and remotely sensed imagery

Ana Carolina Lopes Antunes, Els Ducheyne, Ward Bryssinckx, Sara Vieira, Manuel Malta, Yolanda Vaz, Telmo Nunes, Koen Mintiens

04-11-2015

https://doi.org/10.4081/gh.2015.386

3348

PDF: 1217

HTML: 1233

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