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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

3778

PDF: 1607

Supplementary Materials: 222

HTML: 140
A review of spatial technologies with applications for malaria transmission modelling and control in Africa

Michael T. Gebreslasie

26-11-2015

https://doi.org/10.4081/gh.2015.328

6648

PDF: 2761

HTML: 3140
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

3867

PDF: 2000

HTML: 2265
Application of geo-spatial technology in schistosomiasis modelling in Africa: a review

Tawanda Manyangadze, Moses John Chimbari, Michael Gebreslasie, Samson Mukaratirwa

04-11-2015

https://doi.org/10.4081/gh.2015.326

4505

PDF: 2382

HTML: 2220
Geostatistical integration and uncertainty in pollutant concentration surface under preferential sampling

Laura Grisotto, Dario Consonni, Lorenzo Cecconi, Dolores Catelan, Corrado Lagazio, Pier Alberto Bertazzi, Michela Baccini, Annibale Biggeri

18-04-2016

https://doi.org/10.4081/gh.2016.426

2532

PDF: 1961

HTML: 1148
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

3419

PDF: 1565

HTML: 1494
Satellite-based forest monitoring: spatial and temporal forecast of growing index and short-wave infrared band

Caroline Bayr, Heinz Gallaun, Ulrike Kleb, Birgit Kornberger, Martin Steinegger, Martin Winter

18-04-2016

https://doi.org/10.4081/gh.2016.310

2723

PDF: 1575

HTML: 2027
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

2464

PDF: 1390

HTML: 341
Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning

Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini, Elahe Pishgar, Robert Bergquist

26-03-2025

https://doi.org/10.4081/gh.2025.1319

2592

PDF: 1039

HTML: 138
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

4541

PDF: 2027

APPENDIX 1: 490

APPENDIX 2: 516

HTML: 1654
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

1978

PDF: 972

HTML: 66
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

3544

PDF: 1852

HTML: 221
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

4016

PDF: 1807

HTML: 1217
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

1439

PDF: 653

HTML: 27
Use of an ecologically relevant modelling approach to improve remote sensing-based schistosomiasis risk profiling

Yvonne Walz, Martin Wegmann, Benjamin Leutner, Stefan Dech, Penelope Vounatsou, Eliézer K. N'Goran, Giovanna Raso, Jürg Utzinger

30-11-2015

https://doi.org/10.4081/gh.2015.398

4587

PDF: 1341

HTML: 1220
Comparison of the spatial patterns of schistosomiasis in Zimbabwe at two points in time, spaced twenty-nine years apart: is climate variability of importance?

Ulrik B. Pedersen, Dimitrios-Alexios Karagiannis-Voules, Nicholas Midzi, Tkafira Mduluza, Samson Mukaratirwa, Rasmus Fensholt, Birgitte J. Vennervald, Thomas K. Kristensen, Penelope Vounatsou, Anna-Sofie Stensgaard

08-05-2017

https://doi.org/10.4081/gh.2017.505

3622

PDF: 1727

HTML: 1050
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

4628

PDF: 1975

HTML: 1246
Validation of a spatial liver fluke model under field conditions in Ireland

Amalia Naranjo Lucena, María Pía Munita Corbalán, Ana María Martínez-Ibeas, Guy McGrath, Riona Sayers, Grace Mulcahy, Annetta Zintl

07-05-2018

https://doi.org/10.4081/gh.2018.641

2518

PDF: 1130

HTML: 192
Comparison of single- and multi-scale models for the prediction of the Culicoides biting midge distribution in Germany

Renke Lühken, Jörn Martin Gethmann, Petra Kranz, Pia Steffenhagen, Christoph Staubach, Franz J. Conraths, Ellen Kiel

31-05-2016

https://doi.org/10.4081/gh.2016.405

3525

PDF: 1165

HTML: 1468
MALAREO: a user-driven project

Michael T. Gebreslasie, Ides Bauwens

04-11-2015

https://doi.org/10.4081/gh.2015.329

2970

PDF: 1340

HTML: 1016
Spatial analysis and prediction of the flow of patients to public health centres in a middle-sized Spanish city

Isabel Ramos, Juan J. Cubillas, Francisco R. Feito, Tomas Ureña

21-11-2016

https://doi.org/10.4081/gh.2016.452

2283

PDF: 1355

HTML: 1142
Spatial prediction of the risk of exposure to Echinococcus spp. among schoolchildren and dogs in Ningxia Hui Autonomous Region, People's Republic of China

Angela M. Cadavid Restrepo, Yu Rong Yang, Donald P. McManus, Darren J. Gray, Tamsin S. Barnes, Gail M. Williams, Ricardo J. Soares Magalhães, Archie C.A. Clements

07-05-2018

https://doi.org/10.4081/gh.2018.644

2384

PDF: 1025

HTML: 100
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

4007

PDF: 2311

HTML: 1273
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

1952

PDF: 1103

Appendix: 213

HTML: 42
The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure

Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani

04-06-2025

https://doi.org/10.4081/gh.2025.1386

3400

PDF: 720

HTML: 114
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

3024

PDF: 1005

HTML: 94
Spatiotemporal distribution and geostatistically interpolated mapping of the melioidosis risk in an endemic zone in Thailand

Jaruwan Wongbutdee, Jutharat Jittimanee, Wacharapong Saengnill

05-07-2023

https://doi.org/10.4081/gh.2023.1189

1983

PDF: 1039

HTML: 73
Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil

Moara de Santana Martins Rodgers, Elivelton Fonseca, Prixia del Mar Nieto, John B. Malone, Jeffery C. Luvall, Jennifer C. McCarroll, Ryan Harry Avery, Maria Emilia Bavia, Raul Guimaraes, Xue Wen, Marta Mariana Nascimento Silva, Deborah D.M.T. Carneiro, Luciana Lobato Cardim

08-06-2022

https://doi.org/10.4081/gh.2022.1095

1808

PDF: 1079

HTML: 68
Reduction of latency in geospatial analysis of air quality: a classical modelling approach inspired by quantum principles

Hooshang Eivazy

01-07-2026

https://doi.org/10.4081/gh.2026.1409

197

PDF: 77

Supplementary Materials: 32

HTML: 3
Spatial pattern of tuberculosis cases in Jos Metropolis, Nigeria in the period 2019-2022

Augustine Odo Ebonyi, Mary-Jane Ebire Ebonyi, Femi Rufus Tinuola, Isaiah Gwitira

16-03-2026

https://doi.org/10.4081/gh.2026.1456

543

PDF: 330

HTML: 23
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

4167

PDF: 1630

HTML: 1150
Assessing the relationship between environmental factors and malaria vector breeding sites in Swaziland using multi-scale remotely sensed data

Sabelo Nick Dlamini, Jonas Franke, Penelope Vounatsou

03-06-2015

https://doi.org/10.4081/gh.2015.302

4787

PDF: 1910

HTML: 1763
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

3764

PDF: 1329

HTML: 77
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

1391

PDF: 685

HTML: 62
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

2629

PDF: 1131
Analytical report of the 2016 dengue outbreak in CÃ³rdoba city, Argentina

Camilo Rotela, Laura Lopez, María Frías Céspedes, Gabriela Barbas, Andrés Lighezzolo, Ximena Porcasi, Mario A. Lanfri, Carlos M. Scavuzzo, David E. Gorla

06-11-2017

https://doi.org/10.4081/gh.2017.564

3622

PDF: 1453

HTML: 868
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

2960

PDF: 1024

HTML: 754
Mitigating infectious disease risks through non-stationary flood frequency analysis: a case study in Malaysia based on natural disaster reduction strategy

Nur Amalina Mat Jan, Muhammad Fadhil Marsani, Loshini Thiruchelvam, Nur Balqishanis Zainal Abidin, Ani Shabri, Sarah A'fifah Abdullah Sani

13-11-2023

https://doi.org/10.4081/gh.2023.1236

1940

PDF: 807

HTML: 82
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

2203

PDF: 999

Supplementary Materials: 187

HTML: 71
Environmental and geographical factors influence malaria transmission in KwaZulu-Natal province, South Africa

Osadolor Ebhuoma, Michael Gebreslasie, Oswaldo Villena, Ali Arab

09-06-2025

https://doi.org/10.4081/gh.2025.1370

1594

PDF: 1016

HTML: 160
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

2043

PDF: 502

HTML: 109
Effects of geographical factors on reference values of the thyroid stimulating hormone in healthy adults in China and its clinical significance

Xinrui Pang, Miao Ge, Congxia Wang, Jinwei He

06-05-2022

https://doi.org/10.4081/gh.2022.1030

1360

PDF: 714

HTML: 308
Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand

Ei Sandar U, Wongsa Laohasiriwong, Kittipong Sornlorm

25-05-2023

https://doi.org/10.4081/gh.2023.1183

1889

PDF: 1061

Supplementary Materials: 178

HTML: 110
Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria

Abdullahi O. Sanni , Annelize Jonker, Olatunji O. Johnson , Ezra Gayawan , Aminu Shittu , Olubunmi G. Fasanmi , Oluwawemimo A. Adebowale , Folorunso O. Fasina

12-02-2026

https://doi.org/10.4081/gh.2026.1316

1358

PDF: 604

Supplementary Materials: 152

HTML: 21
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

2836

PDF: 648

HTML: 71
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

6718

PDF: 2249
Predicting frequency distribution and influence of sociodemographic and behavioral risk factors of Schistosoma mansoni infection and analysis of co-infection with intestinal parasites

Carla V.V. Rollemberg, Marília M.B.L. Silva, Karla C. Rollemberg, Fábio R. Amorim, Nayanna M.N. Lessa, Marcos D.S. Santos, Acácia M.B. Souza, Enaldo V. Melo, Roque P. Almeida, Ã‚ngela M. Silva, Guilherme L. Werneck, Mario A. Santos, José A.P. Almeida, Amélia R. Jesus

18-05-2015

https://doi.org/10.4081/gh.2015.303

5049

PDF: 2083

HTML: 1098
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

2136

PDF: 1249

Appendix: 189

HTML: 233
Diagnostic approaches to malaria in Zambia, 2009-2014

Victor M. Mukonka, Emmanuel Chanda, Mulakwa Kamuliwo, Maha A. Elbadry, Pauline K. Wamulume, Mercy Mwanza-Ingwe, Jailos Lubinda, Lindsey A. Laytner, Wenyi Zhang, Gabriel Mushinge, Ubydul Haque

03-06-2015

https://doi.org/10.4081/gh.2015.330

3780

PDF: 1527

HTML: 1175
Estimating malaria burden in Nigeria: a geostatistical modelling approach

Nnadozie Onyiri

04-11-2015

https://doi.org/10.4081/gh.2015.306

7944

PDF: 3317

HTML: 3289
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

4705

PDF: 1440

HTML: 282
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

3372

PDF: 1251

HTML: 1233
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

1834

PDF: 663

HTML: 57
Estimating small area health-related characteristics of populations: a methodological review

Azizur Rahman

08-05-2017

https://doi.org/10.4081/gh.2017.495

4495

PDF: 2080

HTML: 1382
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

1956

PDF: 860

HTML: 117
Variability of nutrients intake, lipid profile and cardiovascular mortality among geographical areas in Spain: The DRECE study

Agustín Gòmez de la Cámara, Eva de Andrés Esteban, Gerard Urrútia Cuchí, Enrique Calderòn Sandubete, Miguel Ángel Rubio Herrera, Miguel Menéndez Orenga, David Lora Pablos

07-11-2017

https://doi.org/10.4081/gh.2017.524

2312

PDF: 1037

HTML: 717
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

5658

PDF: 2820

HTML: 816
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

1705

PDF: 726

HTML: 44
Application of decision tree for prediction of cutaneous leishmaniasis incidence based on environmental and topographic factors in Isfahan Province, Iran

Roghieh Ramezankhani, Nooshin Sajjadi, Roya Nezakati Esmaeilzadeh, Seyed Ali Jozi, Mohammad Reza Shirzadi

08-05-2018

https://doi.org/10.4081/gh.2018.664

1891

PDF: 1073

HTML: 177
Future malaria spatial pattern based on the potential global warming impact in South and Southeast Asia

Hassan M. Khormi, Lalit Kumar

21-11-2016

https://doi.org/10.4081/gh.2016.416

5620

PDF: 2729

HTML: 2000
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

1516

PDF: 666

HTML: 43
Spatial heterogeneity in relationship between district patterns of HIV incidence and covariates in Zimbabwe: a multi-scale geographically weighted regression analysis

Rutendo Birri Makota, Eustasius Musenge

27-11-2023

https://doi.org/10.4081/gh.2023.1207

1798

PDF: 906

HTML: 91
Space-time scan statistics of 2007-2013 dengue incidence in Cimahi city, Indonesia

Pandji Wibawa Dhewantara, Andri Ruliansyah, M. Ezza Azmi Fuadiyah, Endang Puji Astuti, Mutiara Widawati

27-11-2015

https://doi.org/10.4081/gh.2015.373

5492

PDF: 2095

HTML: 1040
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

2475

PDF: 767

HTML: 101
An operative dengue risk stratification system in Argentina based on geospatial technology

Ximena Porcasi, Camilo H. Rotela, María V. Introini, Nicolás Frutos, Sofía Lanfri, Gonzalo Peralta, Estefanía A. De Elia, Mario A. Lanfri, Carlos M. Scavuzzo

S31-S42

01-09-2012

https://doi.org/10.4081/gh.2012.120

3305

PDF: 1849
Spatial autocorrelation and stratified heterogeneity in the evaluation of breast cancer risk inequity and socioeconomic factors analysis in China: Evidence from Nanchang, Jiangxi Province

Yaqi Wang, Zhiwei Wan

17-05-2022

https://doi.org/10.4081/gh.2022.1078

2055

PDF: 1090

HTML: 191
Urban gentrification and infectious diseases: an interdisciplinary narrative review

Behzad Kiani, Gabriel Parker, Senobar Naderian, Colleen L. Lau, Benn Sartorius

07-07-2025

https://doi.org/10.4081/gh.2025.1388

1567

PDF: 671

HTML: 111
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

3333

PDF: 1470

HTML: 1630
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

3469

PDF: 1550

HTML: 857
Earth observation in support of malaria control and epidemiology: MALAREO monitoring approaches

Jonas Franke, Michael Gebreslasie, Ides Bauwens, Julie Deleu, Florian Siegert

03-06-2015

https://doi.org/10.4081/gh.2015.335

4783

PDF: 1749

HTML: 1224
Haemodialysis services in the northeastern region of Iran

Behzad Kiani, Nasser Bagheri, Ahmad Tara, Benyamin Hoseini, Mahmoud Tara

11-05-2017

https://doi.org/10.4081/gh.2017.561

4509

PDF: 1352

HTML: 915
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

3946

PDF: 1855

SUPPL. MATERIAL: 488

HTML: 1091
Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme

Manuel O. Espinosa, Francisco Polop, Camilo H. Rotela, Marcelo Abril, Carlos M. Scavuzzo

21-11-2016

https://doi.org/10.4081/gh.2016.471

4336

PDF: 1724

APPENDIX: 588

HTML: 1545
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

3220

PDF: 842

HTML: 30
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

934

PDF: 418

Supplementary materials: 107

HTML: 29
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

2530

PDF: 624

Supplementary 1: 188

Supplementary 2: 409

HTML: 181
Sentiment analysis using a lexicon-based approach in Lisbon, Portugal

Iuria Betco, Ana Isabel Ribeiro, David S. Vale, Luis Encalada-Abarca, Cláudia M. Viana, Jorge Rocha

24-04-2025

https://doi.org/10.4081/gh.2025.1344

1432

PDF: 674

Supplementary Materials: 234

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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

1049

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Supplementary materials: 141

HTML: 12
Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia

Muhammad Aidil Roslan, Romano Ngui, Muhammad Fathi Marzuki, Indra Vythilingam, Aziz Shafie, Sabri Musa, Wan Yusoff Wan Sulaiman

11-05-2022

https://doi.org/10.4081/gh.2022.1025

2196

PDF: 984

Annex I-VI: 198

HTML: 80
Air quality classification and its temporal trend in Tehran, Iran, 2002-2012

Raheleh Saniei, Ali Zangiabadi, Mohammad Sharifikia, Yousef Ghavidel

31-05-2016

https://doi.org/10.4081/gh.2016.442

4995

PDF: 1590

HTML: 2604
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

776

PDF: 483

Supplementary materials: 77

HTML: 17
Nonlinear analysis of factors influencing public health in China based on machine learning

Dehong Sun, Hui Wang

16-03-2026

https://doi.org/10.4081/gh.2026.1450

400

PDF: 305

HTML: 11
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

955

PDF: 489

HTML: 37
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

4827

PDF: 1987

HTML: 2563
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

4990

PDF: 2184

Appendix: 612

HTML: 1600
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

4975

PDF: 1551

HTML: 1150
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

2463

PDF: 1744

APPENDIX: 681

HTML: 1058
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

1234

PDF: 655

HTML: 48
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

5140

PDF: 1877

HTML: 2288
The spatio-temporal distribution of Oncomelania hupensis along Yangtze river in Jiangsu Province, China after implementation of a new, integrated schistosomiasis control strategy

Jian He, Wei Li, Robert Bergquist, Jian-Feng Zhang, Liang Shi, Song Zhao, Feng Wu, Kun Yang

29-11-2016

https://doi.org/10.4081/gh.2016.480

3357

PDF: 1083

HTML: 917
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

1156

PDF: 525

Supplementary Materials: 131

HTML: 63
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

3119

PDF: 1389

HTML: 228
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

2341

PDF: 1205

HTML: 87
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

2985

PDF: 1161

HTML: 70
Where to place emergency ambulance vehicles: use of a capacitated maximum covering location model with real call data

Soheil Hashtarkhani, Stephen A. Matthews, Ping Yin, Alireza Mohammadi, Shahab Mohammad Ebrahimi, Mahmood Tara, Behzad Kiani

20-07-2023

https://doi.org/10.4081/gh.2023.1198

3793

PDF: 1315

Supplementary Materials: 970

HTML: 193
Spatio-temporal trends and distribution patterns of typhoid disease in Uganda from 2012 to 2017

Kamukama Ismail, Gilbert Maiga, Denis Ssebuggwawo, Peter Nabende, Ali Mansourian

07-01-2021

https://doi.org/10.4081/gh.2020.860

3980

PDF: 1290

HTML: 48
Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study

Heng-Qian Huang-fu, Nan Zhang, Li Wang, Hui-Juan Liang, Ben-Song Xian, Xiao-Fang Gan, Yingsi Lai

20-12-2024

https://doi.org/10.4081/gh.2024.1322

2075

PDF: 650

Supplementary Materials: 187

HTML: 39
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

340

PDF: 194

Supplementary Materials: 44

HTML: 5
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

4302

PDF: 2056

HTML: 1508
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

2568

PDF: 1103

APPENDIX: 486

HTML: 130

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