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  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

  6355

  PDF: 2627

  HTML: 3131
• 

  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

  3825

  PDF: 1875

  HTML: 2252
• 

  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

  6415

  PDF: 2349

  Appendix: 637

  HTML: 3329

  Appendix: 252
• 

  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

  4669

  PDF: 1318

  Appendix: 558

  HTML: 1229
• 

  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

  4588

  PDF: 1905

  HTML: 2558
• 

  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

  3182

  PDF: 1670

  HTML: 193
• 

  Earth observation in support of malaria control and epidemiology: MALAREO monitoring approaches

  Jonas Franke, Michael Gebreslasie, Ides Bauwens, Julie Deleu, Florian Siegert

  03-06-2015

  https://doi.org/10.4081/gh.2015.335

  4567

  PDF: 1639

  HTML: 1220
• 

  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

  1226

  PDF: 787

  HTML: 124
• 

  MALAREO: a user-driven project

  Michael T. Gebreslasie, Ides Bauwens

  04-11-2015

  https://doi.org/10.4081/gh.2015.329

  2845

  PDF: 1247

  HTML: 996
• 

  Estimating malaria burden in Nigeria: a geostatistical modelling approach

  Nnadozie Onyiri

  04-11-2015

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

  7592

  PDF: 3169

  HTML: 3277
• 

  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

  1532

  PDF: 623

  HTML: 115
• 

  Fine scale mapping of malaria infection clusters by using routinely collected health facility data in urban Dar es Salaam, Tanzania

  Yeromin P. Mlacha, Prosper P. Chaki, Alpha D. Malishee, Victoria M. Mwakalinga, Nicodem J. Govella, Alex J. Limwagu, John M. Paliga, Daniel F. Msellemu, Zawadi D. Mageni, Dianne J. Terlouw, Gerry F. Killeen, Stefan Dongus

  11-05-2017

  https://doi.org/10.4081/gh.2017.494

  4700

  PDF: 1707

  HTML: 1296
• 

  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

  5447

  PDF: 2602

  HTML: 1996
• 

  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

  3825

  PDF: 1815

  HTML: 752
• 

  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

  4058

  PDF: 1878

  HTML: 1278
• 

  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

  7257

  PDF: 2528

  HTML: 1230
• 

  Spatial abundance and human biting rate of Anopheles arabiensis and Anopheles funestus in savannah and rice agro-ecosystems of Central Tanzania

  Leonard E.G. Mboera, Veneranda M. Bwana, Susan F. Rumisha, Grades Stanley, Patrick K. Tungu, Robert C. Malima

  18-05-2015

  https://doi.org/10.4081/gh.2015.322

  3188

  PDF: 1485

  HTML: 1419
• 

  Diagnostic approaches to malaria in Zambia, 2009-2014

  Victor M. Mukonka, Emmanuel Chanda, Mulakwa Kamuliwo, Maha A. Elbadry, Pauline K. Wamulume, Mercy Mwanza-Ingwe, Jailos Lubinda, Lindsey A. Laytner, Wenyi Zhang, Gabriel Mushinge, Ubydul Haque

  03-06-2015

  https://doi.org/10.4081/gh.2015.330

  3633

  PDF: 1439

  HTML: 1170
• 

  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

  2197

  PDF: 919

  HTML: 37
• 

  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

  3778

  PDF: 1700

  HTML: 1208
• 

  Spatial and spatio-temporal analysis of malaria in the state of Acre, western Amazon, Brazil

  Leonardo Augusto Kohara Melchior, Francisco Chiaravalloti Neto

  16-11-2016

  https://doi.org/10.4081/gh.2016.443

  4165

  PDF: 1957

  HTML: 1395
• 

  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

  2199

  PDF: 1475

  HTML: 146
• 

  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

  4251

  PDF: 1883

  APPENDIX 1: 458

  APPENDIX 2: 483

  HTML: 1648
• 

  Migration statistics relevant for malaria transmission in Senegal derived from mobile phone data and used in an agent-based migration model

  Adrian M. Tompkins, Nicky McCreesh

  31-03-2016

  https://doi.org/10.4081/gh.2016.408

  3590

  PDF: 1473

  HTML: 1001

• 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

  1703

  PDF: 794

  HTML: 101
• 

  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

  4787

  PDF: 2066

  Appendix: 582

  HTML: 1594
• 

  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

  4423

  PDF: 1826

  HTML: 1753
• 

  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

  3087

  PDF: 1685

  HTML: 4869

• Meteorological, environmental remote sensing and neural network analysis of the epidemiology of malaria transmission in Thailand

  Richard Kiang, Farida Adimi, Valerii Soika, Joseph Nigro, Pratap Singhasivanon, Jeeraphat Sirichaisinthop, Somjai Leemingsawat, Chamnarn Apiwathnasorn, Sornchai Looareesuwan

  71-84

  01-11-2006

  https://doi.org/10.4081/gh.2006.282

  3333

  PDF: 1780
• 

  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

  3593

  PDF: 1647

  HTML: 1116
• 

  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

  2793

  PDF: 940

  HTML: 746
• 

  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

  6496

  PDF: 2024

  HTML: 2190
• 

  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

  2855

  PDF: 1194

  HTML: 1139
• 

  Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach

  Sami Ullah, Hanita Daud, Sarat C. Dass, Habib Nawaz Khan, Alamgir Khalil

  06-11-2017

  https://doi.org/10.4081/gh.2017.567

  2948

  PDF: 1119

  HTML: 708
• 

  Improving AfriPop dataset with settlement extents extracted from RapidEye for the border region comprising South-Africa, Swaziland and Mozambique

  Julie Deleu, Jonas Franke, Michael Gebreslasie, Catherine Linard

  04-11-2015

  https://doi.org/10.4081/gh.2015.336

  2624

  PDF: 1197

  HTML: 1131
• 

  Use of an ecologically relevant modelling approach to improve remote sensing-based schistosomiasis risk profiling

  Yvonne Walz, Martin Wegmann, Benjamin Leutner, Stefan Dech, Penelope Vounatsou, Eliézer K. N'Goran, Giovanna Raso, Jürg Utzinger

  30-11-2015

  https://doi.org/10.4081/gh.2015.398

  4442

  PDF: 1276

  HTML: 1212
• 

  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

  4368

  PDF: 2303

  HTML: 2204

• 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

  3291

  PDF: 1692
• 

  Province clustering based on the percentage of communicable disease using the BCBimax biclustering algorithm

  Muhammad Nur Aidi, Cynthia Wulandari, Sachnaz Desta Oktarina, Taufiqur Rakhim Aditra, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Aya Yuriestia Arifin, Rita Marleta Dewi, Nazarina Nazaruddin, Salimar Salimar, Noviati Fuada, Yekti Widodo, Budi Setyawati, Nuzuliyati Nurhidayati, Sudikno Sudikno, Irlina Raswanti Irawan, Widoretno Widoretno

  12-09-2023

  https://doi.org/10.4081/gh.2023.1202

  1781

  PDF: 901

  HTML: 116

• A climate distribution model of malaria transmission in Sudan

  Mohammed I. Musa, Shamarina Shohaimi, Nor R. Hashim, Isthrinayagy Krishnarajah

  27-36

  01-11-2012

  https://doi.org/10.4081/gh.2012.102

  2451

  PDF: 1168
• 

  Predicting the spatial distribution of Biomphalaria straminea, a potential intermediate host for Schistosoma mansoni, in China

  Mohamed R. Habib, Yun-Hai Guo, Shan Lv, Wen-Biao Gu, Xiao-Heng Li, Xiao-Nong Zhou

  29-11-2016

  https://doi.org/10.4081/gh.2016.453

  3969

  PDF: 1499

  HTML: 1145
• 

  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

  4173

  PDF: 1595

  HTML: 1065
• 

  Quantifying human-environment interactions using videography in the context of infectious disease transmission

  Timothy R. Julian, Carla Bustos, Laura H. Kwong, Alejandro D. Badilla, Julia Lee, Heather N. Bischel, Robert A. Canales

  08-05-2018

  https://doi.org/10.4081/gh.2018.631

  2386

  PDF: 1023

  Video: 0

  HTML: 102

• Spatio-temporal variation in malaria transmission intensity in five agro-ecosystems in Mvomero district, Tanzania

  Leonard E. G. Mboera, Kesheni P. Senkoro, Benjamin K. Mayala, Susan F. Rumisha, Rwehumbiza T. Rwegoshora, Malongo R. S. Mlozi, Elizabeth H. Shayo

  167-178

  01-05-2010

  https://doi.org/10.4081/gh.2010.198

  2688

  PDF: 1261
• 

  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

  3449

  PDF: 1618

  HTML: 1046
• 

  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

  2504

  PDF: 1120

  HTML: 675

• Geospatial tools for the identification of a malaria corridor in Estado Sucre, a Venezuelan north-eastern state

  Laura Delgado-Petrocelli, Alberto Camardiel, Víctor Hugo Aguilar, Néstor Martinez, Karenia Còrdova, Santiago Ramos

  169-176

  01-05-2011

  https://doi.org/10.4081/gh.2011.168

  2532

  PDF: 1000
• 

  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

  3045

  PDF: 1417

  HTML: 1070

• The use of remotely sensed environmental data in the study of malaria

  Vanessa Machault, Cécile Vignolles, François Borchi, Penelope Vounatsou, Frédéric Pages, Sébastien Briolant, Jean-Pierre Lacaux, Christophe Rogier

  151-168

  01-05-2011

  https://doi.org/10.4081/gh.2011.167

  5752

  PDF: 2202
• 

  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

  2285

  PDF: 1124

  HTML: 912
• 

  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

  1946

  PDF: 873

  Annex I-VI: 158

  HTML: 71

• Present habitat suitability for Anopheles atroparvus (Diptera, Culicidae) and its coincidence with former malaria areas in mainland Portugal

  César Capinha, Eduardo Gomes, Eusébio Reis, Jorge Rocha, Carla A. Sousa, V. E. do Rosário, A. Paulo Almeida

  177-187

  01-05-2009

  https://doi.org/10.4081/gh.2009.219

  34179

  PDF: 1086
• 

  Malaria risk map for India based on climate, ecology and geographical modelling

  Soma Sarkar, Poonam Singh, Mercy Aparna L. Lingala, Preeti Verma, Ramesh C. Dhiman

  06-11-2019

  https://doi.org/10.4081/gh.2019.767

  6790

  PDF: 2343

  HTML: 13492

• Bayesian modelling of geostatistical malaria risk data

  L. Gosoniu, P. Vounatsou, N. Sogoba, T. Smith

  127-139

  01-11-2006

  https://doi.org/10.4081/gh.2006.287

  9869

  PDF: 1766
• 

  Spatiotemporal evolution characteristics and attribution analysis of hepatitis A in mainland China

  Xiaodi Su, Chunxia Qiu, Chunhui Liu

  03-12-2024

  https://doi.org/10.4081/gh.2024.1323

  1327

  PDF: 443

  HTML: 22

• Examination of multidimensional geographic mobility and sexual behaviour among Black cisgender sexually minoritized men in Chicago

  Aleya Khalifa, Byoungjun Kim, Seann Regan, Tyrone Moline, Basile Chaix, Yen-Tyng Chen, John Schneider, Dustin T. Duncan

  16-05-2024

  https://doi.org/10.4081/gh.2024.1273

  1683

  PDF: 834

  HTML: 63
• 

  The spatio-temporal distribution of Oncomelania hupensis along Yangtze river in Jiangsu Province, China after implementation of a new, integrated schistosomiasis control strategy

  Jian He, Wei Li, Robert Bergquist, Jian-Feng Zhang, Liang Shi, Song Zhao, Feng Wu, Kun Yang

  29-11-2016

  https://doi.org/10.4081/gh.2016.480

  3197

  PDF: 1016

  HTML: 903
• 

  Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models

  Xavier Barber, David Conesa, Silvia Lladosa, Antonio Lòpez-Quílez

  18-04-2016

  https://doi.org/10.4081/gh.2016.415

  3683

  PDF: 1890

  HTML: 2250
• 

  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

  14-05-2019

  https://doi.org/10.4081/gh.2019.676

  3095

  PDF: 1596

  APPENDIX: 489

  HTML: 299
• 

  Spatial heterogeneity in relationship between district patterns of HIV incidence and covariates in Zimbabwe: a multi-scale geographically weighted regression analysis

  Rutendo Birri Makota, Eustasius Musenge

  27-11-2023

  https://doi.org/10.4081/gh.2023.1207

  1589

  PDF: 807

  HTML: 76
• 

  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

  3809

  PDF: 2210

  HTML: 1270
• 

  Spatio-temporal dynamics of schistosomiasis in Rwanda between 2001 and 2012: impact of the national Neglected Tropical Disease control programme

  Elias Nyandwi, Tom Veldkamp, Frank Badu Osei, Sherif Amer

  08-05-2017

  https://doi.org/10.4081/gh.2017.514

  3441

  PDF: 1194

  HTML: 1080
• 

  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

  2738

  PDF: 910

  Supplementary Materials: 365

  HTML: 128
• 

  The spatial distribution pattern of human immunodeficiency virus/acquired immune deficiency syndrome in China

  Ying Wang, Yongli Yang, Xuezhong Shi, Saicai Mao, Nian Shi, Xiaoqing Hui

  31-05-2016

  https://doi.org/10.4081/gh.2016.414

  4201

  PDF: 1834

  HTML: 2261
• 

  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

  2933

  PDF: 1300

  HTML: 225

• Using climate information for improved health in Africa: relevance, constraints and opportunities

  Stephen J. Connor, Pietro Ceccato, Tufa Dinku, Judy Omumbo, Emily K. Grover-Kopec, Madeleine C. Thomson

  17-31

  01-11-2006

  https://doi.org/10.4081/gh.2006.278

  1495

  PDF: 860
• 

  Spread of Ebola virus disease based on the density of roads in West Africa

  Diana Gomez-Barroso, Emilia Velasco, Carmen Varela, Inmaculada Leon, Rosa Cano

  03-11-2017

  https://doi.org/10.4081/gh.2017.552

  2538

  PDF: 810

  APPENDIX: 542

  HTML: 1237
• 

  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

  2312

  PDF: 1323

  HTML: 335

• 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

  2976

  PDF: 877

  HTML: 92
• 

  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

  4432

  PDF: 1859

  HTML: 1239
• 

  Spatiotemporal heterogeneity of SARS-CoV-2 diffusion at the city level using geographically weighted Poisson regression model: The case of Bologna, Italy

  Addisu Jember Zeleke, Rossella Miglio, Pierpaolo Palumbo, Paolo Tubertini, Lorenzo Chiari, Bologna MODELS4COVID Study Group of the University of Bologna and the National Institute for Nuclear Physics (INFN)

  01-12-2022

  https://doi.org/10.4081/gh.2022.1145

  1750

  PDF: 962

  Appendix: 138

  HTML: 79
• 

  Spatial patterns of Plasmodium vivax transmission explored by multivariate auto-regressive state-space modelling - A case study in Baoshan Prefecture in southern China

  Jinxin Zheng, Benyun Shi, Shang Xia, Guojing Yang, Xiao-Nong Zhou

  12-03-2021

  https://doi.org/10.4081/gh.2021.879

  1832

  PDF: 771

  HTML: 34
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  Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases

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  2293

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  HTML: 111
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  3211

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  APPENDIX: 304

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  1445

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• A real-time platform for monitoring schistosomiasis transmission supported by Google Earth and a web-based geographical information system

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  Climate and the distribution of vector-borne diseases: what's in store?

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  1665

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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

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