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  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

  2929

  PDF: 1002

  HTML: 752
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  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

  6617

  PDF: 2423

  Appendix: 654

  HTML: 3356

  Appendix: 269
• 

  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

  3386

  PDF: 1533

  HTML: 1484
• 

  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

  4950

  PDF: 2139

  Appendix: 597

  HTML: 1600
• 

  Associations between seasonal influenza and meteorological parameters in Costa Rica, Honduras and Nicaragua

  Radina P. Soebiyanto, Wilfrido A. Clara, Jorge Jara, Angel Balmaseda, Jenny Lara, Mariel Lopez Moya, Rakhee Palekar, Marc-Alain Widdowson, Eduardo Azziz-Baumgartner, Richard K. Kiang

  04-11-2015

  https://doi.org/10.4081/gh.2015.372

  4721

  PDF: 1594

  HTML: 1174
• 

  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

  3975

  PDF: 2277

  HTML: 1273
• 

  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

  3685

  PDF: 1302

  HTML: 75
• 

  A breeding site model for regional, dynamical malaria simulations evaluated using in situ temporary ponds observations

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

  31-03-2016

  https://doi.org/10.4081/gh.2016.390

  2962

  PDF: 1299

  HTML: 1152
• 

  To what extent does climate explain variations in reported malaria cases in early 20th century Uganda?

  Adrian M. Tompkins, Laragh Larsen, Nicky McCreesh, David Taylor

  31-03-2016

  https://doi.org/10.4081/gh.2016.407

  4867

  PDF: 1356

  Appendix: 582

  HTML: 1234
• 

  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

  3925

  PDF: 1250

  HTML: 48
• 

  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

  4508

  PDF: 1973

  APPENDIX 1: 472

  APPENDIX 2: 504

  HTML: 1653
• 

  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

  6583

  PDF: 2700

  HTML: 3138
• 

  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

  4739

  PDF: 1876

  HTML: 1761
• 

  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

  2518

  PDF: 1432

  HTML: 1160
• 

  Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia

  Amare Sewnet Minale, Kalkidan Alemu

  07-05-2018

  https://doi.org/10.4081/gh.2018.660

  7479

  PDF: 2599

  HTML: 1244
• 

  Heterogeneity in a communal cattle-farming system in a zone endemic for foot and mouth disease in South Africa

  Ockert Louis van Schalkwyk, Eva M. De Clercq, Claudia De Pus, Guy Hendrickx, Peter van den Bossche, Darryn L. Knobel

  31-05-2016

  https://doi.org/10.4081/gh.2016.338

  2753

  PDF: 1424

  HTML: 1482

• 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

  1854

  PDF: 886

  HTML: 103
• 

  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

  3447

  PDF: 1767

  HTML: 216
• 

  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

  1864

  PDF: 1043

  HTML: 175
• 

  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

  4788

  PDF: 1956

  HTML: 2563
• 

  Impact of climate variability on the occurrence of cutaneous leishmaniasis in Khuzestan Province, southwestern Iran

  Farideh Azimi, Sadegh Shirian, Saranaz Jangjoo, Arman Ai, Tahereh Abbasi

  08-05-2017

  https://doi.org/10.4081/gh.2017.478

  3143

  PDF: 1482

  HTML: 1080
• 

  Spatial and temporal clustering analysis of pulmonary tuberculosis and its associated risk factors in southwest China

  Jianjiao Wang, Xiaoning Liu, Zhengchao Jing, Jiawai Yang

  25-05-2023

  https://doi.org/10.4081/gh.2023.1169

  1270

  PDF: 922

  HTML: 41
• 

  Spatiotemporal transmission and socio-climatic factors related to paediatric tuberculosis in north-western Ethiopia

  Kefyalew Addis Alene, Kerri Viney, Emma S. McBryde, Archie C.A. Clements

  27-11-2017

  https://doi.org/10.4081/gh.2017.575

  3993

  PDF: 1321

  APPENDIX: 462

  HTML: 869

• 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

  2799

  PDF: 1097
• 

  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

  3239

  PDF: 1365

  HTML: 708
• 

  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

  2494

  PDF: 1109

  HTML: 192
• 

  Estimating malaria burden in Nigeria: a geostatistical modelling approach

  Nnadozie Onyiri

  04-11-2015

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

  7909

  PDF: 3271

  HTML: 3289
• 

  One health review of recent Salmonella dynamics and human health outcomes in the United States

  Geoffrey Kangogo, Lavanya Sankaran, Mitesh Rajpurohit, Kate E. Trout

  11-12-2025

  https://doi.org/10.4081/gh.2025.1416

  911

  PDF: 564

  HTML: 86
• 

  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

  2974

  PDF: 1206

  HTML: 74
• 

  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

  6616

  PDF: 2086

  HTML: 2209

• Malaria seasonality and rainfall seasonality in Sri Lanka are correlated in space

  Olivier J.T. Briët, Penelope Vounatsou, Priyanie H. Amerasinghe

  183-190

  01-05-2008

  https://doi.org/10.4081/gh.2008.242

  1883

  PDF: 1001
• 

  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

  3578

  PDF: 1419

  HTML: 866
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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

  4362

  PDF: 1945

  HTML: 1286
• 

  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 Simões Barbosa

  25-11-2016

  https://doi.org/10.4081/gh.2016.490

  3305

  PDF: 1432

  HTML: 1630
• 

  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

  4477

  PDF: 2353

  HTML: 2213

• Climatic factors associated with amyotrophic lateral sclerosis: a spatial analysis from Taiwan

  Ching-Piao Tsai, Charles Tzu-Chi Lee

  45-52

  01-11-2013

  https://doi.org/10.4081/gh.2013.53

  1993

  PDF: 1108

• Mapping and predicting malaria transmission in the People's Republic of China, using integrated biology-driven and statistical models

  Guo-Jing Yang, Qi Gao, Shui-Sen Zhou, John B. Malone, Jennifer C. McCarroll, Marcel Tanner, Penelope Vounatsou, Robert Bergquist, Jürg Utzinger, Xiao-Nong Zhou

  11-22

  01-11-2010

  https://doi.org/10.4081/gh.2010.183

  3481

  PDF: 1782
• 

  Outbreak of acute fasciolosis in sheep farms in a Mediterranean area arising as a possible consequence of climate change

  Antonio Bosco, Laura Rinaldi, Vincenzo Musella, Alessandra Amadesi, Giuseppe Cringoli

  319-324

  19-03-2015

  https://doi.org/10.4081/gh.2015.354

  3552

  PDF: 1817
• 

  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

  1531

  PDF: 942

  HTML: 149

• Low-altitude outbreaks of human fascioliasis related with summer rainfall in Gilan province, Iran

  Abdoreza Salahi-Moghaddam, Majid Habibi-Nokhandam, Márius V. Fuentes

  133-136

  01-11-2011

  https://doi.org/10.4081/gh.2011.165

  1805

  PDF: 922
• 

  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

  3327

  PDF: 1535

  Supplementary Materials: 212

  HTML: 135
• 

  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

  3966

  PDF: 1768

  HTML: 1214
• 

  Nigeria’s malaria prevalence in 2015: a geospatial, exploratory district-level approach

  Mina Whyte, Kennedy Mwai Wambui, Eustasius Musenge

  25-11-2024

  https://doi.org/10.4081/gh.2024.1243

  1687

  PDF: 683

  HTML: 117
• 

  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

  712

  PDF: 412

  Supplementary materials: 60

  HTML: 16
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  Post-traumatic stress in people from the interior drylands of the Maule region, Chile in the context of climate change

  Cristian Cáceres, Marcelo Leiva-Bianchi, Yony Ormazábal, Carlos Mena, Juan Carlos Cantillana

  18-05-2022

  https://doi.org/10.4081/gh.2022.1045

  2323

  PDF: 1142

  HTML: 76
• 

  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

  1903

  PDF: 782

  HTML: 79
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  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

  4582

  PDF: 1919

  HTML: 1246
• 

  Health, environmental change and adaptive capacity; mapping, examining and anticipating future risks of water-related vector-borne diseases in eastern Africa

  David Taylor, Stefan Kienberger, Jack B. Malone, Adrian M. Tompkins

  18-02-2016

  https://doi.org/10.4081/gh.2016.464

  3732

  PDF: 1691

  HTML: 1122
• 

  Sheep and Fasciola hepatica in Europe: the GLOWORM experience

  Laura Rinaldi, Annibale Biggeri, Vincenzo Musella, Theo de Waal, Hubertus Hertzberg, Fabien Mavrot, Paul R. Torgerson, Nikolaos Selemetas, Tom Coll, Antonio Bosco, Laura Grisotto, Giuseppe Cringoli, Dolores Catelan

  309-317

  19-03-2015

  https://doi.org/10.4081/gh.2015.353

  5101

  PDF: 2541

• Spatial characterization of Leptospira spp. infection in equids from the Brejo Paraibano micro-region in Brazil

  Ruy Brayner Oliveira Filho, Karla Campos Malta, Vania Lucia Assis Santana, Mabel Hanna Vance Harrop, Danilo Tancler Stipp, Daniel Friguglietti Brandespim, Rinaldo Aparecido Mota, José Júnior Wilton Pinheiro

  463-469

  01-05-2014

  https://doi.org/10.4081/gh.2014.35

  2281

  PDF: 1256

• TerraSAR-X high-resolution radar remote sensing: an operational warning system for Rift Valley fever risk

  Cécile Vignolles, Yves M. Tourre, Oscar Mora, Laurent Imanache, Murielle Lafaye

  23-31

  01-11-2010

  https://doi.org/10.4081/gh.2010.184

  1616

  PDF: 975
• 

  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

  3594

  PDF: 1674

  HTML: 1049
• 

  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

  1939

  PDF: 1002

  HTML: 71
• 

  Ecological niche model of Phlebotomus perniciosus, the main vector of canine leishmaniasis in north-eastern Italy

  Manuela Signorini, Rudi Cassini, Michele Drigo, Antonio Frangipane di Regalbono, Mario Pietrobelli, Fabrizio Montarsi, Anna-Sofie Stensgaard

  193-201

  01-11-2014

  https://doi.org/10.4081/gh.2014.16

  4061

  PDF: 1823
• 

  American cutaneous leishmaniasis cases in the metropolitan region of Manaus, Brazil: association with climate variables over time

  Rodrigo Augusto Ferreira de Souza, Rita Valéria Andreoli, Mary Toshie Kayano, Afrânio Lima Carvalho

  18-05-2015

  https://doi.org/10.4081/gh.2015.314

  3127

  PDF: 1580

  HTML: 830
• 

  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

  3768

  PDF: 2037
• 

  Spatial analysis of the prevalence of schistosomiasis in an endemic coastal area in north-eastern Brazil

  Allan D. Santos, Jonhnatas Silva, Ana Caroline Lima, Márcio Santos, Shirley Lima, Monalisa Amor, Carlos Santos, Arthur Vasconcelos, Silvio Dolabella, Karina C.G.M. Araújo

  27-11-2017

  https://doi.org/10.4081/gh.2017.570

  3197

  PDF: 1040

  HTML: 895
• 

  Spatial analysis of cutaneous leishmaniasis in an endemic area of Iran based on environmental factors

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

  08-11-2017

  https://doi.org/10.4081/gh.2017.578

  3027

  PDF: 1194

  HTML: 958
• 

  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

  1711

  PDF: 1030

  HTML: 51

• Influence of topography on the endemicity of Kala-azar: a study based on remote sensing and geographical information system

  Gouri S. Bhunia, Shreekant Kesari, Algarsamy Jeyaram, Vijay Kumar, Pradeep Das

  155-165

  01-05-2010

  https://doi.org/10.4081/gh.2010.197

  2770

  PDF: 996

• Spatial analysis of risk factors for transmission of the Barmah Forest virus in Queensland, Australia

  Suchithra Naish, Kerrie Mengersen, Shilu Tong

  289-299

  01-11-2013

  https://doi.org/10.4081/gh.2013.74

  1944

  PDF: 1110

• 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

  7357

  PDF: 3550
• 

  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

  3179

  PDF: 1746

  HTML: 4944
• 

  Cluster analysis of fasciolosis in dairy cow herds in Munster province of Ireland and detection of major climatic and environmental predictors of the exposure risk

  Nikolaos Selemetas, Paul Phelan, Padraig O'Kiely, Theo de Waal

  271-279

  19-03-2015

  https://doi.org/10.4081/gh.2015.349

  2871

  PDF: 1436
• 

  Modelling the spatial distribution of Fasciola hepatica in dairy cattle in Europe

  Els Ducheyne, Johannes Charlier, Jozef Vercruysse, Laura Rinaldi, Annibale Biggeri, Janina Demeler, Christina Brandt, Theo de Waal, Nikolaos Selemetas, Johan Höglund, Jaroslaw Kaba, Slawomir J. Kowalczyk, Guy Hendrickx

  261-270

  19-03-2015

  https://doi.org/10.4081/gh.2015.348

  4034

  PDF: 2085
• 

  The basic reproduction quotient (Q0) as a potential spatial predictor of the seasonality of ovine haemonchosis

  Muhammad-Bashir Bolajoko, Hannah Rose, Vincenzo Musella, Antonio Bosco, Laura Rinaldi, Jan van Dijk, Giuseppe Cringoli, Eric R. Morgan

  333-350

  19-03-2015

  https://doi.org/10.4081/gh.2015.356

  2584

  PDF: 1630
• 

  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

  1340

  PDF: 639

  HTML: 58
• 

  Spatial distribution and sociodemographic risk factors of malaria in Nigerian children less than 5 years old

  Chigozie Louisa J. Ugwu, Temesgen Zewotir

  29-12-2020

  https://doi.org/10.4081/gh.2020.819

  4054

  PDF: 1869

  HTML: 794
• 

  Haemonchus contortus: spatial risk distribution for infection in sheep in Europe

  Laura Rinaldi, Dolores Catelan, Vincenzo Musella, Lorenzo Cecconi, Hubertus Hertzberg, Paul R. Torgerson, Fabien Mavrot, Theo de Waal, Nikolaos Selemetas, Tom Coll, Antonio Bosco, Annibale Biggeri, Giuseppe Cringoli

  325-331

  19-03-2015

  https://doi.org/10.4081/gh.2015.355

  5015

  PDF: 2292
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  Estimating population and livestock density of mobile pastoralists and sedentary settlements in the south-eastern Lake Chad area

  Vreni Jean-Richard, Lisa Crump, Abbani Alhadj Abicho, Ali Abba Abakar, Abdraman Mahamat II, Mahamat Bechir, Sandra Eckert, Matthias Engesser, Esther Schelling, Jakob Zinsstag

  18-05-2015

  https://doi.org/10.4081/gh.2015.307

  4396

  PDF: 1720

  HTML: 1539
• 

  Spatial analysis and risk mapping of Fasciola hepatica infection in dairy herds in Ireland

  Nikolaos Selemetas, Els Ducheyne, Paul Phelan, Padraig O'Kiely, Guy Hendrickx, Theo de Waal

  281-291

  19-03-2015

  https://doi.org/10.4081/gh.2015.350

  4545

  PDF: 2032
• 

  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

  5583

  PDF: 2690

  HTML: 2000
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  Predicting malaria cases using remotely sensed environmental variables in Nkomazi, South Africa

  Abiodun Morakinyo Adeola, Joel Ondego Botai, Jane Mukarugwiza Olwoch, Hannes C.J. de W. Rautenbach, Omolola Mayowa Adisa, Christiaan de Jager, Christina M. Botai, Mabuza Aaron

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• Identification of environmental parameters and risk mapping of visceral leishmaniasis in Ethiopia by using geographical information systems and a statistical approach

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