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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

5002

PDF: 2191

Appendix: 613

HTML: 1602
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

3290

PDF: 1589

HTML: 597
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

2208

PDF: 991

Annex I-VI: 200

HTML: 81
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

4342

PDF: 1731

APPENDIX: 588

HTML: 1545
Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites

Guillermo Albrieu-Llinás, Manuel O. Espinosa, Agustín Quaglia, Marcelo Abril, Carlos Marcelo Scavuzzo

07-05-2018

https://doi.org/10.4081/gh.2018.654

3286

PDF: 1592

HTML: 204
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

2060

PDF: 545

HTML: 66
Mosquito breeding site water temperature observations and simulations towards improved vector-borne disease models for Africa

Ernest O. Asare, Adrian M. Tompkins, Leonard K. Amekudzi, Volker Ermert, Robert Redl

31-03-2016

https://doi.org/10.4081/gh.2016.391

3209

PDF: 1784

HTML: 4964
Geospatial analysis of invasion of the Asian tiger mosquito Aedes albopictus: competition with Aedes japonicus japonicus in its northern limit area in Japan

Naoko Nihei, Osamu Komagata, Kan-ichiro Mochizuki, Mutsuo Kobayashi

417-427

01-05-2014

https://doi.org/10.4081/gh.2014.30

3093

PDF: 1394
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

3628

PDF: 1457

HTML: 868
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

2468

PDF: 1391

HTML: 341
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

6668

PDF: 2472

Appendix: 666

HTML: 3370

Appendix: 281
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

2234

PDF: 1454

HTML: 960
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

2923

PDF: 1018

Supplementary Materials: 395

HTML: 144
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

5621

PDF: 2744

HTML: 2002
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

791

PDF: 491

Supplementary materials: 77

HTML: 19
Climate change and the potential global distribution of Aedes aegypti: spatial modelling using geographical information system and CLIMEX

Hassan M. Khormi, Lalit Kumar

405-415

01-05-2014

https://doi.org/10.4081/gh.2014.29

10805

PDF: 5040
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

3425

PDF: 1570

HTML: 1494
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

210

PDF: 177

HTML: 3
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

6675

PDF: 2126

HTML: 2211
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

1397

PDF: 688

HTML: 62
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

5148

PDF: 1879

HTML: 2291
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

4011

PDF: 2312

HTML: 1273
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

3699

PDF: 1481
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

2825

PDF: 1131
Methodological framework for assessing malaria risk associated with climate change in Côte d’Ivoire

Yao Etienne Kouakou, Iba Dieudonné Dely, Madina Doumbia, Aziza Ouattara, Effah Jemima N’da, Koffi Evrard Brou, Yao Anicet Zouzou, Guéladio Cissé, Brama Koné

28-08-2024

https://doi.org/10.4081/gh.2024.1285

1907

PDF: 951

HTML: 103
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

11254

PDF: 2944
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

5509

PDF: 2102

HTML: 1041
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

3262

PDF: 998

HTML: 127
Air versus water temperature of aquatic habitats in Delhi: Implications for transmission dynamics of Aedes aegypti

Gaurav Kumar, Veena Pande, Shweta Pasi, Vijay P. Ojha, Ramesh C. Dhiman

09-11-2018

https://doi.org/10.4081/gh.2018.707

1816

PDF: 1056

HTML: 73
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

3159

PDF: 1492
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

2161

PDF: 1353

HTML: 71
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

1077

PDF: 378

HTML: 72
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

3792

PDF: 1617

Supplementary Materials: 222

HTML: 144
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

268

PDF: 347

HTML: 3
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

3123

PDF: 1392

HTML: 229
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

1923

PDF: 880

HTML: 21

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