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  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

  2450

  PDF: 1036

  APPENDIX: 458

  HTML: 125
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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

  3838

  PDF: 2222

  HTML: 1270
• 

  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

  2332

  PDF: 1329

  HTML: 336
• 

  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

  1764

  PDF: 459

  HTML: 55
• 

  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

  2884

  PDF: 1242

  Supplementary Materials: 195

  HTML: 113
• 

  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

  573

  PDF: 287

  Supplementary materials: 40

  HTML: 8
• 

  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

  3455

  PDF: 1371

  HTML: 863
• 

  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

  1769

  PDF: 803

  HTML: 18
• 

  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

  2761

  PDF: 916

  Supplementary Materials: 368

  HTML: 134
• 

  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

  5363

  PDF: 2010

  HTML: 1033
• 

  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

  1229

  PDF: 581

  HTML: 56
• 

  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

  1990

  PDF: 886

  Annex I-VI: 163

  HTML: 72
• 

  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

  4175

  PDF: 1614

  APPENDIX: 562

  HTML: 1541
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  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

  3126

  PDF: 1487

  HTML: 573
• 

  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

  582

  PDF: 354

  HTML: 36
• 

  Spatio-temporal patterns of dengue in Malaysia: combining address and sub-district level

  Cheong Y. Ling, Oliver Gruebner, Alexander Krämer, Tobia Lakes

  131-140

  01-11-2014

  https://doi.org/10.4081/gh.2014.11

  3912

  PDF: 2143
• 

  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

  3450

  PDF: 1712
• 

  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

  894

  PDF: 309

  HTML: 56
• 

  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

  3150

  PDF: 1469

  HTML: 198
• 

  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

  3577

  PDF: 1974

• Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis

  Mathuros Tipayamongkholgul, Sunisa Lisakulruk

  191-198

  01-05-2011

  https://doi.org/10.4081/gh.2011.171

  4272

  PDF: 1717

• 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

  7142

  PDF: 3516
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  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

  3027

  PDF: 1128

  HTML: 73

• 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

  3167

  PDF: 1732
• 

  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

  1696

  PDF: 745

  HTML: 71

• 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

  3075

  PDF: 1785

• 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

  11046

  PDF: 2809
• 

  Spatial pattern of dengue cases: An analysis in Bangi District, Selangor, Malaysia

  Nuriah Abd Majid, Ruslan Rainis, Mazrura Sahani, Ahmad Fariz Mohamed, Sarah Aziz Abdul Ghani Aziz, Nurafiqah Muhamad Nazi

  11-03-2021

  https://doi.org/10.4081/gh.2021.915

  2796

  PDF: 1218

  HTML: 164

• Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle

  Fleur Hierink, Nima Yaghmaei, Mirjam I. Bakker, Nicolas Ray, Marc van den Homberg

  29-10-2024

  https://doi.org/10.4081/gh.2024.1284

  6487

  PDF: 828

  Supplementary Materials: 266

  HTML: 119

• 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

  10246

  PDF: 4863
• 

  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

  6685

  PDF: 2638

  APPENDIX: 361

  HTML: 487

• 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

  3500

  PDF: 1387
• 

  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

  3389

  PDF: 1638

  HTML: 202

• 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

  2991

  PDF: 1419
• 

  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

  6518

  PDF: 2027

  HTML: 2191
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  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

  1377

  PDF: 583

  HTML: 94
• 

  Balancing geo-privacy and spatial patterns in epidemiological studies

  Chien-Chou Chen, Jen-Hsiang Chuang, Da-Wei Wang, Chien-Min Wang, Bo-Cheng Lin, Ta-Chien Chan

  08-11-2017

  https://doi.org/10.4081/gh.2017.573

  4061

  PDF: 1288

  APPENDIX: 552

  HTML: 958
• 

  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

  6449

  PDF: 2353

  Appendix: 639

  HTML: 3333

  Appendix: 256

• 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

  3208

  PDF: 1871
• 

  Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases

  Sarah Isnan, Ahmad Fikri bin Abdullah, Abdul Rashid Shariff, Iskandar Ishak, Sharifah Norkhadijah Syed Ismail, Maheshwara Rao Appanan

  07-04-2025

  https://doi.org/10.4081/gh.2025.1277

  2380

  PDF: 840

  Supplementary materials: 201

  HTML: 113

• 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

  1802

  PDF: 840

  HTML: 111
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  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

  2551

  PDF: 1136

  HTML: 684
• 

  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

  2044

  PDF: 1251

  HTML: 69
• 

  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

  952

  PDF: 392

  HTML: 37
• 

  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

  3846

  PDF: 1880

  HTML: 2257
• 

  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

  2422

  PDF: 1599

  HTML: 149
• 

  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

  2720

  PDF: 570

  HTML: 58
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  Mapping the risk for transmission of urban schistosomiasis in the Brazilian Northeast

  Emília Carolle Azevedo de Oliveira, Iris Edna Pereira da Silva, Ricardo José Ferreira, Ricardo José de Paula Souza e Guimarães, Elainne Christine de Souza Gomes, Constança Simões Barbosa

  29-12-2020

  https://doi.org/10.4081/gh.2020.861

  2697

  PDF: 1051

  HTML: 65
• 

  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, Ângela 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

  4902

  PDF: 2016

  HTML: 1091

• Response to Comments on Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis by Tipayamongkholgul and Lisakulruk

  Mathuros Tipayamongkholgul, Sunisa Lisakulruk

  4

  01-11-2011

  https://doi.org/10.4081/gh.2011.151

  1022

  PDF: 760
• 

  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

  1457

  PDF: 426

  HTML: 94

• 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

  2306

  PDF: 1421

• Comments on Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis by Tipayamongkholgul and Lisakulruk

  Subhash C. Arya, Nirmala Agarwal

  3

  01-11-2011

  https://doi.org/10.4081/gh.2011.150

  1118

  PDF: 836
• 

  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

  1737

  PDF: 980

  Appendix: 187

  HTML: 70
• 

  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

  3587

  PDF: 1530

  Appendix: 168

  HTML: 89
• 

  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

  2300

  PDF: 1135

  HTML: 914
• 

  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

  2619

  PDF: 1300

  HTML: 181
• 

  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

  1429

  PDF: 591

  HTML: 22
• 

  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

  1576

  PDF: 559

  HTML: 40
• 

  The geo-spatial perspective of biological, social and environmental determinants of early pregnancy anaemia in rural Sri Lanka: Need for context-specific approaches on prevention

  Gayani Shashikala Amarasinghe, Thilini Chanchala Agampodi, Vasana Mendis, Suneth Buddhika Agampodi

  29-11-2022

  https://doi.org/10.4081/gh.2022.1110

  1575

  PDF: 970

  HTML: 45
• 

  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

  2417

  PDF: 1385

  HTML: 1151
• 

  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

  3256

  PDF: 850

  HTML: 664
• 

  Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)

  Sami Ullah, Nurul Hidayah Mohd Nor, Hanita Daud, Nooraini Zainuddin, Muhammad Salim Javed Gandapur, Iftikhar Ali, Alamgir Khalil

  05-05-2021

  https://doi.org/10.4081/gh.2021.961

  4080

  PDF: 1672

  HTML: 116
• 

  Combining process-based and correlative models improves predictions of climate change effects on Schistosoma mansoni transmission in eastern Africa

  Anna-Sofie Stensgaard, Mark Booth, Grigory Nikulin, Nicky McCreesh

  31-03-2016

  https://doi.org/10.4081/gh.2016.406

  4203

  PDF: 1606

  HTML: 1067
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  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

  1677

  PDF: 976

  HTML: 60
• 

  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

  5490

  PDF: 2623

  HTML: 1996
• 

  Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study

  João Batista Cavalcante Filho, Marco Aurélio de Oliveira Góes, Damião da Conceição Araújo, Marcus Valerius da Silva Peixoto, Marco Antônio Prado Nunes

  13-07-2023

  https://doi.org/10.4081/gh.2023.1206

  1959

  PDF: 850

  Supplementary Materials: 140

  HTML: 36
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  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, Gaëlle Nicolas, Roger Venail, Guy Hendrickx, Francis Schaffner

  14-05-2021

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

  4613

  PDF: 1346

  HTML: 117
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  Geographic distribution and demographic factors associated with use of a long-acting reversible contraceptive (LARC) in Ethiopia

  Mintesnot Tenkir Teni, Travis Loux, Ness Sandoval, Anne Sebert Kuhlmann

  23-01-2025

  https://doi.org/10.4081/gh.2025.1302

  3745

  PDF: 1362

  HTML: 1155
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  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

  2221

  PDF: 923

  HTML: 37
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  Assessment of malaria transmission changes in Africa, due to the climate impact of land use change using Coupled Model Intercomparison Project Phase 5 earth system models

  Adrian M. Tompkins, Luca Caporaso

  31-03-2016

  https://doi.org/10.4081/gh.2016.380

  4083

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