Search

Search Results

• 

  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

  4893

  PDF: 2111

  Appendix: 594

  HTML: 1598
• 

  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

  3214

  PDF: 1516

  HTML: 582
• 

  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

  2083

  PDF: 914

  Annex I-VI: 176

  HTML: 75
• 

  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

  4247

  PDF: 1646

  APPENDIX: 570

  HTML: 1544
• 

  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

  3206

  PDF: 1507

  HTML: 200
• 

  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

  1857

  PDF: 495

  HTML: 61
• 

  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

  3139

  PDF: 1722

  HTML: 4908

• 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

  3010

  PDF: 1327
• 

  Analytical report of the 2016 dengue outbreak in Córdoba 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

  3523

  PDF: 1402

  HTML: 865
• 

  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

  2378

  PDF: 1348

  HTML: 339
• 

  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

  6553

  PDF: 2395

  Appendix: 647

  HTML: 3348

  Appendix: 263
• 

  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

  2191

  PDF: 1408

  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

  2831

  PDF: 952

  Supplementary Materials: 379

  HTML: 139
• 

  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

  5538

  PDF: 2659

  HTML: 2000
• 

  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

  667

  PDF: 356

  Supplementary materials: 53

  HTML: 14

• 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

  10555

  PDF: 4929
• 

  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

  3323

  PDF: 1512

  HTML: 1484
• 

  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

  6577

  PDF: 2066

  HTML: 2197
• 

  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

  1308

  PDF: 617

  HTML: 58
• 

  Geographic distribution of canine heartworm (Dirofilaria immitis) infection in stray dogs of eastern Romania

  Lavinia Ciucă, 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

  4923

  PDF: 1764

  HTML: 2284
• 

  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

  3945

  PDF: 2248

  HTML: 1272

• 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

  3616

  PDF: 1419

• 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

  2753

  PDF: 1077

• 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

  1814

  PDF: 864

  HTML: 102

• 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

  11142

  PDF: 2840
• 

  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

  5423

  PDF: 2035

  HTML: 1038

• 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

  3141

  PDF: 931

  HTML: 121
• 

  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

  1724

  PDF: 998

  HTML: 68

• 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

  3082

  PDF: 1446
• 

  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

  2068

  PDF: 1287

  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

  960

  PDF: 332

  HTML: 59
• 

  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

  3188

  PDF: 1315

  Supplementary Materials: 203

  HTML: 133
• 

  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: 1335

  HTML: 227
• 

  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

  1828

  PDF: 827

  HTML: 20