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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

4004

PDF: 2310

HTML: 1273
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

3764

PDF: 1606

Supplementary Materials: 221

HTML: 138
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

2463

PDF: 1390

HTML: 341
Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis

Maria Camila Lesmes , Alvaro Ávila-Díaz, Erika Santamaría, Carlos Andrés Morales , Horacio Cadena, Patricia Fuya, Nicolas Frutos, Ximena Porcasi, Catalina Marceló-Díaz

04-06-2025

https://doi.org/10.4081/gh.2025.1292

2046

PDF: 542

HTML: 65
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

774

PDF: 482

Supplementary materials: 76

HTML: 17
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

2913

PDF: 1008

Supplementary Materials: 394

HTML: 142
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
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

5491

PDF: 2095

HTML: 1040
Epidemiological characteristics and determination of spatio-temporal clusters during the 2013 dengue outbreak in Chiang Mai, Thailand

Veerasak Punyapornwithaya, Chalutwan Sansamur, Arisara Charoenpanyanet

29-12-2020

https://doi.org/10.4081/gh.2020.857

1919

PDF: 876

HTML: 21
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: 682

HTML: 62
Typhoid fever in Jakarta, Indonesia 2017-2023: spatial clustering and seasonality of hospitalization data to inform better intervention

Mujiyanto Mujiyanto, Basuki Rachmat, Aris Yulianto, Made Agus Nurjana, Wawan Ridwan, Endang Puji Astuti, Doni Lasut, Pandji Wibawa Dhewantara

15-05-2025

https://doi.org/10.4081/gh.2025.1372

3360

PDF: 1442

HTML: 716
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

689

PDF: 433

HTML: 42
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

2195

PDF: 984

Annex I-VI: 198

HTML: 80
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

4334

PDF: 1724

APPENDIX: 588

HTML: 1545
Environmental change and Rift Valley fever in eastern Africa: projecting beyond HEALTHY FUTURES

David Taylor, Michael Hagenlocher, Anne E. Jones, Stefan Kienberger, Joseph Leedale, Andrew P. Morse

31-03-2016

https://doi.org/10.4081/gh.2016.387

6654

PDF: 2119

HTML: 2211
The influence of urban heat islands and socioeconomic factors on the spatial distribution of Aedes aegypti larval habitats

Thiago S. de Azevedo, Brian Patrick Bourke, Rafael Piovezan, Maria Anice M. Sallum

08-05-2018

https://doi.org/10.4081/gh.2018.623

3281

PDF: 1582

HTML: 594
Mosquito habitat and dengue risk potential in Kenya: alternative methods to traditional risk mapping techniques

David F. Attaway, Kathryn H. Jacobsen, Allan Falconer, Germana Manca, Lauren Rosenshein Bennett, Nigel M. Waters

119-130

01-11-2014

https://doi.org/10.4081/gh.2014.10

3585

PDF: 1779
Comparing conditional autoregressive models for Bayesian spatial mapping of dengue cases in Indonesia

Ferra Yanuar, Yudiantri Asdi, Aidinil Zetra, Sofiana Wudlu, Fenni Kurnia Mutiya, Rahmawita Rahmawita

18-06-2026

https://doi.org/10.4081/gh.2026.1443

258

PDF: 340

HTML: 3
Geographical distribution of the association between El Niño South Oscillation and dengue fever in the Americas: a continental analysis using geographical information system-based techniques

Marcos C. Ferreira

141-151

01-11-2014

https://doi.org/10.4081/gh.2014.12

3813

PDF: 2073
Place and health infrastructure in the Gulf Cooperation Council: A systematic scoping review of GIS applications in health

Dari Alhuwail, Saad AlSharrah, Neil T Coffee, Faisal H Al-Refaei, Mark Daniel

29-12-2020

https://doi.org/10.4081/gh.2020.887

3230

PDF: 1207

HTML: 80
Risk mapping of dengue in Selangor and Kuala Lumpur, Malaysia

Hafiz Hassan, Shamarina Shohaimi, Nor R. Hashim

21-25

01-11-2012

https://doi.org/10.4081/gh.2012.101

7404

PDF: 3582
A WebGIS tool for visualizing and exploring socioeconomic vulnerability to dengue fever in Cali, Colombia

Stefan Kienberger, Michael Hagenlocher, Eric Delmelle, Irene Casas

313-316

01-11-2013

https://doi.org/10.4081/gh.2013.76

3183

PDF: 1914
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

3304

PDF: 1849
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

1939

PDF: 806

HTML: 82
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

3693

PDF: 1477
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

3502

PDF: 1748

HTML: 219
Modeling spatio-temporal risk changes in the incidence of dengue fever in Saudi Arabia: a geographical information system case study

Hassan M. Khormi, Lalit Kumar, Ramze A. Elzahrany

77-84

01-11-2011

https://doi.org/10.4081/gh.2011.159

3152

PDF: 1488
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

7026

PDF: 2785

APPENDIX: 409

HTML: 502
Mapping urban and peri-urban breeding habitats of Aedes mosquitoes using a fuzzy analytical hierarchical process based on climatic and physical parameters

Muhammad Shahzad Sarfraz, Nagesh K. Tripathi, Fazlay S. Faruque, Usama Ijaz Bajwa, Asanobu Kitamoto, Marc Souris

S685-S697

01-12-2014

https://doi.org/10.4081/gh.2014.297

11242

PDF: 2941
Geospatial assessment of dengue fever risk and spatial patterns in Phayao Province, Thailand

Phaisarn Jeefoo, Watcharaporn Preedapirom Jeefoo, Sakorn Mekruksavanich, Kanchana Nakhapakorn

23-07-2026

https://doi.org/10.4081/gh.2026.1497

183

PDF: 153
Rift Valley fever dynamics in Senegal: a project for pro-active adaptation and improvement of livestock raising management

Murielle Lafaye, Baba Sall, Youssou Ndiaye, Cécile Vignolles, Yves M. Tourre, François Borchi, Jean-Michel Soubeyroux, Mawlouth Diallo, Ibrahima Dia, Yamar Ba, Abdoulaye Faye, Taibou Ba, Alioune Ka, Jacques-André Ndione, Hélène Gauthier, Jean-Pierre Lacaux

279-288

01-11-2013

https://doi.org/10.4081/gh.2013.73

2443

PDF: 1513
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

1566

PDF: 670

HTML: 109
Modelling homogeneous regions of social vulnerability to malaria in Rwanda

Jean Pierre Bizimana, Stefan Kienberger, Michael Hagenlocher, Emmanuel Twarabamenye

31-03-2016

https://doi.org/10.4081/gh.2016.404

3974

PDF: 1963

HTML: 2264
Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019–2021

Farrah Fahdhienie, Frans Yosep Sitepu, Elpiani Br Depari

03-09-2024

https://doi.org/10.4081/gh.2024.1318

2039

PDF: 928

HTML: 114
Assessing the effects of air temperature and rainfall on malaria incidence: an epidemiological study across Rwanda and Uganda

Felipe J. Colòn-González, Adrian M. Tompkins, Riccardo Biondi, Jean Pierre Bizimana, Didacus Bambaiha Namanya

31-03-2016

https://doi.org/10.4081/gh.2016.379

6657

PDF: 2471

Appendix: 665

HTML: 3365

Appendix: 281
Characterising the spatial dynamics of sympatric Aedes aegypti and Aedes albopictus populations in the Philippines

Jennifer Duncombe, Fe Espino, Kristian Marollano, Aldwin Velazco, Scott A. Ritchie, Wenbiao Hu, Philip Weinstein, Archie C. A. Clements

255-265

01-11-2013

https://doi.org/10.4081/gh.2013.71

3696

PDF: 1986
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

1890

PDF: 1167

Appendix: 216

HTML: 78
Spatio-temporal analysis of tuberculosis incidence in North Aceh District, Indonesia 2019-2021

Farrah Fahdhienie, Frans Yosep Sitepu

29-11-2022

https://doi.org/10.4081/gh.2022.1148

2621

PDF: 1709

HTML: 156
Spatial Bayesian semi-parametric Cox-Leroux modelling of stroke patient hospitalization: aspects on survival

Aswi Aswi, Bobby Poerwanto, Nurussyariah Hammado, Nurwan Nurwan, Oktaviana Oktaviana, Siti Djawijah, Susanna Cramb

21-07-2025

https://doi.org/10.4081/gh.2025.1380

1082

PDF: 472

HTML: 45
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

5044

PDF: 2082

HTML: 1098
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

2144

PDF: 1347

HTML: 71
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

3394

PDF: 720

HTML: 112
Space-time epidemiology and effect of meteorological parameters on influenza-like illness in Phitsanulok, a northern province in Thailand

Prakash Madhav Nimbalkar, Nitin Kumar Tripathi

21-11-2016

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

2555

PDF: 1472

HTML: 1160
Evaluation of household knowledge, attitudes and practices concerning malaria in the city of Djibouti

Osman Abdillahi Guedi, Yao Télesphore Brou, Eric Delmelle, Sébastien Briolant

16-06-2026

https://doi.org/10.4081/gh.2026.1451

597

PDF: 199

Supplementary materials: 62

HTML: 5
Geographical heterogeneity and socio-ecological risk profiles of dengue in Jakarta, Indonesia

Heni Prasetyowati, Pandji Wibawa Dhewantara, Joni Hendri, Endang Puji Astuti, Yalemzewod Assefa Gelaw, Harapan Harapan, Mara Ipa, Widyastuti Widyastuti, Dwi Oktavia Tatri Lestari Handayani, Ngabila Salama, Mirsal Picasso

12-03-2021

https://doi.org/10.4081/gh.2021.948

3727

PDF: 1652

Appendix: 197

HTML: 102
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

2434

PDF: 1219

HTML: 917
Understanding COVID-19: comparison of spatio-temporal analysis methods used to study epidemic spread patterns in the United States

Chunhui Liu, Xiaodi Su, Zhaoxuan Dong, Xingyu Liu, Chunxia Qiu

25-05-2023

https://doi.org/10.4081/gh.2023.1200

1896

PDF: 863

HTML: 85
Geographic clustering of elderly people with above-norm anthropometric measurements and blood chemistry

Carlos Mena, Eduardo Fuentes, Yony Ormazábal, Iván Palomo

11-05-2017

https://doi.org/10.4081/gh.2017.523

3012

PDF: 1354

HTML: 895
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

1357

PDF: 602

Supplementary Materials: 151

HTML: 20
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

2951

PDF: 1472

HTML: 1231
Leptospirosis and its spatial and temporal relations with natural disasters in six municipalities of Santa Catarina, Brazil, from 2000 to 2016

Ana Elisa Pereira Silva, Francisco Chiaravalloti Neto, Gleice Margarete de Souza Conceição

26-11-2020

https://doi.org/10.4081/gh.2020.903

3011

PDF: 1248

HTML: 77
Revealed access to haemodialysis facilities in northeastern Iran: Factors that matter in rural and urban areas

Behzad Kiani, Nasser Bagheri, Ahmad Tara, Benyamin Hoseini, Hamed Tabesh, Mahmood Tara

07-11-2017

https://doi.org/10.4081/gh.2017.584

3404

PDF: 915

HTML: 666
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
Understanding the relationship between land use and land cover and malaria in Nepal

Shreejana Bhattarai, Korine N. Kolivras, Kabita Ghimire, Yang Shao

29-12-2020

https://doi.org/10.4081/gh.2020.855

2328

PDF: 975

HTML: 45
Clusters of malaria cases at sub-district level in endemic area in Java Island, Indonesia

Dwi Sarwani Sri Rejeki, Sri Nurlaela, Devi Octaviana, Bangun Wijayanto, Solikhah Solikhah

18-05-2022

https://doi.org/10.4081/gh.2022.1048

2358

PDF: 1667

HTML: 153

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