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eISSN 1970-7096 - pISSN 1827-1987

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Editor-in-Chief: Robert Bergquist

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  • 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
    1727
    PDF: 828
    Supplementary Materials: 111
    HTML: 36
  • 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
    3829
    PDF: 1513
    APPENDIX 1: 417
    APPENDIX 2: 406
    HTML: 1638
  • 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
    5127
    PDF: 2301
    HTML: 1979
  • 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
    3892
    PDF: 1614
    HTML: 1231
  • 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
    2480
    PDF: 888
    HTML: 915
  • 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
    1214
    PDF: 511
    HTML: 93
  • 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
    2651
    PDF: 1226
    HTML: 1045
  • 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
    5885
    PDF: 2362
    HTML: 3068
  • 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
    3712
    PDF: 1288
    HTML: 1132
  • Climate change and species distribution: possible scenarios for thermophilic ticks in Romania

    Cristian DomÈ™a, Attila D. Sándor, Andrei D. Mihalca
    31-05-2016
    https://doi.org/10.4081/gh.2016.421
    2741
    PDF: 1255
    HTML: 1673
  • 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
    5928
    PDF: 2103
    Appendix: 547
    HTML: 3240
    Appendix: 197
  • Spatial-temporal risk factors in the occurrence of rabies in Mexico

    Reyna Ortega-Sánchez, Isabel Bárcenas-Reyes, Jesús Luna-Cozar, Edith Rojas-Anaya, José Quintín Cuador-Gil, Germinal Jorge Cantó-Alarcón, Nerina Veyna-Salazar, Sara González-Ruiz, Feliciano Milián-Suazo
    30-01-2024
    https://doi.org/10.4081/gh.2024.1245
    3804
    PDF: 1036
    HTML: 764
  • 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
    3089
    PDF: 1720
  • 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
    4031
    PDF: 2119
    HTML: 2152
  • Zoning the territory of the Republic of Kazakhstan as to the risk of rabies among various categories of animals

    Sarsenbay K. Abdrakhmanov, Akhmetzhan A. Sultanov, Kanatzhan K. Beisembayev, Fedor I. Korennoy, Dosym B. Кushubaev, Ablaikhan S. Каdyrov
    31-05-2016
    https://doi.org/10.4081/gh.2016.429
    2565
    PDF: 1132
    APPENDIX: 587
    HTML: 1441
  • 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
    1620
    PDF: 774
    HTML: 158
  • Landscape, demographic and climatic associations with human West Nile virus occurrence regionally in 2012 in the United States of America

    John P. DeGroote, Ramanathan Sugumaran, Mark Ecker
    153-168
    01-11-2014
    https://doi.org/10.4081/gh.2014.13
    2253
    PDF: 1079
  • 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
    4239
    PDF: 1639
    Appendix: 488
    HTML: 1576
  • 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
    3096
    PDF: 1374
    HTML: 1025
  • 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
    497
    PDF: 102
    HTML: 6
  • 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
    3444
    PDF: 1432
    HTML: 1178
  • 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
    3671
    PDF: 1648
    HTML: 1268
  • 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
    2149
    PDF: 909
    HTML: 127
  • 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
    2545
    PDF: 1178
  • 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
    4045
    PDF: 1616
    HTML: 2543
  • 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
    3372
    PDF: 1129
    APPENDIX: 362
    HTML: 839
  • 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
    2959
    PDF: 1548
  • 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
    1578
    PDF: 912
  • Effect modification of the association between meteorological variables and mortality by urban climatic conditions in the tropical city of Kaohsiung, Taiwan

    William B. Goggins, Chao Ren, Edward Ng, Chunyuh Yang, Emily Y.Y. Chan
    37-44
    01-11-2013
    https://doi.org/10.4081/gh.2013.52
    2122
    PDF: 1156
  • Remote sensing and climate data as a key for understanding fasciolosis transmission in the Andes: review and update of an ongoing interdisciplinary project

    Márius V. Fuentes
    59-70
    01-11-2006
    https://doi.org/10.4081/gh.2006.281
    1590
    PDF: 943
  • 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
    3844
    PDF: 1116
    Appendix: 466
    HTML: 1211
  • Importance of individual analysis of environmental and climatic factors affecting the density of Leishmania vectors living in the same geographical area: the example of Phlebotomus ariasi and P. perniciosus in northeast Spain

    Cristina Ballart, Irene Guerrero, Xavier Castells, Sergio Baròn, Soledad Castillejo, M. Magdalena Alcover, Montserrat Portús, Montserrat Gállego
    389-403
    01-05-2014
    https://doi.org/10.4081/gh.2014.28
    2662
    PDF: 1119
  • 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
    2737
    PDF: 1101
    HTML: 1599
  • Geospatial analysis in the United States reveals the changing roles of temperature on COVID-19 transmission

    Ruiwen Xiong, Xiaolong Li
    20-07-2023
    https://doi.org/10.4081/gh.2023.1213
    1194
    PDF: 601
    HTML: 24
  • Modelling recent and future climatic suitability for fasciolosis in Europe

    Cyril Caminade, Jan van Dijk, Matthew Baylis, Diana Williams
    301-308
    19-03-2015
    https://doi.org/10.4081/gh.2015.352
    3976
    PDF: 1523
  • Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis

    Isabelle Lebert, Séverine Bord, Christine Saint-Andrieux, Eva Cassar, Patrick Gasqui, Frédéric Beugnet, Karine Chalvet-Monfray, Sophie O. Vanwambeke, Gwenaël Vourc’h, Magalie René-Martellet
    17-05-2022
    https://doi.org/10.4081/gh.2022.1058
    5802
    PDF: 2179
    Appendix: 290
    HTML: 235
  • Spatial prediction of the risk of exposure to Echinococcus spp. among schoolchildren and dogs in Ningxia Hui Autonomous Region, People's Republic of China

    Angela M. Cadavid Restrepo, Yu Rong Yang, Donald P. McManus, Darren J. Gray, Tamsin S. Barnes, Gail M. Williams, Ricardo J. Soares Magalhães, Archie C.A. Clements
    07-05-2018
    https://doi.org/10.4081/gh.2018.644
    1934
    PDF: 777
    HTML: 80
  • 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
    3960
    PDF: 1774
  • 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
    2216
    PDF: 1202
    HTML: 136
  • 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
    10423
    PDF: 2485
  • 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
    3141
    PDF: 1185
    HTML: 850
  • Associations between rocky mountain spotted fever and veterinary care access, climatic factors and landscape in the State of Arizona, USA

    Yan Lin, Al Ekram Elahee Hridoy , Meifang Li, Zhe Wang, Li Luo, Xiaogang Ma, Zhuoming Liu, Murphy John, Chao Fan, Irene Ruberto, Xi Gong, Xun Shi
    17-07-2025
    https://doi.org/10.4081/gh.2025.1390
    34
    PDF: 7
    Supplementary Materials: 0
  • 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
    2737
    PDF: 1346
    HTML: 810
  • 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
    3786
    PDF: 1314
    HTML: 1054
  • Estimating malaria burden in Nigeria: a geostatistical modelling approach

    Nnadozie Onyiri
    04-11-2015
    https://doi.org/10.4081/gh.2015.306
    7025
    PDF: 2873
    HTML: 3246
  • Spatial correlates of COVID-19 first wave across continental Portugal

    Bruno Barbosa, Melissa Silva, César Capinha, Ricardo A.C. Garcia, Jorge Rocha
    23-06-2022
    https://doi.org/10.4081/gh.2022.1073
    1214
    PDF: 386
    HTML: 41
  • Potential for spread of the white-nose fungus (Pseudogymnoascus destructans) in the Americas: use of Maxent and NicheA to assure strict model transference

    Luis E. Escobar, Andrés Lira-Noriega, Gonzalo Medina-Vogel, A. Townsend Peterson
    221-229
    01-11-2014
    https://doi.org/10.4081/gh.2014.19
    6762
    PDF: 3100
  • 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
    2187
    PDF: 637
    Supplementary Materials: 300
    HTML: 88
  • Impact of climate change and man-made irrigation systems on the transmission risk, long-term trend and seasonality of human and animal fascioliasis in Pakistan

    Kiran Afshan, Cesar A. Fortes-Lima, Patricio Artigas, M. Adela Valero, Mazhar Qayyum, Santiago Mas-Coma
    317-334
    01-05-2014
    https://doi.org/10.4081/gh.2014.22
    26293
    PDF: 2092
  • 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
    1705
    PDF: 851
  • 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
    3933
    PDF: 1598
    HTML: 1739
  • 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
    3098
    PDF: 1495
  • Mathematical modelling of the impact of climatic conditions in France on Rhipicephalus sanguineus tick activity and density since 1960

    Frédéric Beugnet, Michel Kolasinski, Paul-Antoine Michelangeli, Julien Vienne, Harilaos Loukos
    255-263
    01-05-2011
    https://doi.org/10.4081/gh.2011.178
    2386
    PDF: 1208
  • 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
    4084
    PDF: 1912
  • Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran

    Marjan Zare, Ali Semati, Alireza Mirahmadizadeh, Abdulrasool Hemmati, Mostafa Ebrahimi
    08-06-2022
    https://doi.org/10.4081/gh.2022.1065
    770
    PDF: 326
    HTML: 18
  • 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
    3362
    PDF: 1640
    HTML: 2222
  • 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
    1472
    PDF: 736
    HTML: 55
  • 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
    6696
    PDF: 2178
    HTML: 1135
  • Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats

    Yuanhua Liu, Jun Zhang, Michael P. Ward, Wei Tu, Lili Yu, Jin Shi, Yi Hu, Fenghua Gao, Zhiguo Cao, Zhijie Zhang
    03-07-2023
    https://doi.org/10.4081/gh.2023.1151
    1745
    PDF: 680
    Supplementary Materials: 80
    HTML: 37
  • 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
    2184
    PDF: 1299
  • 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
    3910
    PDF: 1754
  • Spatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical models

    Ronaldo G. C. Scholte, Nadine Schur, Maria E. Bavia, Edgar M. Carvalho, Frédérique Chammartin, Jürg Utzinger, Penelope Vounatsou
    97-110
    01-11-2013
    https://doi.org/10.4081/gh.2013.58
    3506
    PDF: 1828
  • The spatial distribution of interleukin-4 (IL-4) reference values in China based on a back propagation (BP) neural network

    Zhao Rong Huang, Miao Ge, Xin Rui Pang, Pu Song, Congxia Wang
    13-09-2023
    https://doi.org/10.4081/gh.2023.1197
    1027
    PDF: 409
    HTML: 14
  • 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
    5673
    PDF: 2256
    APPENDIX: 249
    HTML: 365
  • Preferential sampling in veterinary parasitological surveillance

    Lorenzo Cecconi, Annibale Biggeri, Laura Grisotto, Veronica Berrocal, Laura Rinaldi, Vincenzo Musella, Giuseppe Cringoli, Dolores Catelan
    18-04-2016
    https://doi.org/10.4081/gh.2016.412
    1972
    PDF: 1451
    APPENDIX: 534
    HTML: 1032
  • Modeling freshwater snail habitat suitability and areas of potential snail-borne disease transmission in Uganda

    A.S. Stensgaard, A. Jørgensen, N.B. Kabatereine, C. Rahbek, T.K. Kristensen
    93-104
    01-11-2006
    https://doi.org/10.4081/gh.2006.284
    2835
    PDF: 1468
  • 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
    1347
    PDF: 764
    HTML: 44
  • Spatial analysis of migrating Apis mellifera colonies in Salvador, Bahia, Brazil

    Renato L. Jr. Sandes, Cláudia L. Oliveira, Edvana S. Ferreira, Emersom Cruiff, Cezar Tavares, Antonio C.B. Santos, Carlos R. Franke, Maria E. Bavia
    129-134
    01-11-2009
    https://doi.org/10.4081/gh.2009.215
    1336
    PDF: 698
  • The geographic environment and the frequency of falling: a study of mortality outcomes in elderly people in China

    Yi Huang, Chen Li, Xianjing Lu, Yue Wang
    25-05-2023
    https://doi.org/10.4081/gh.2023.1180
    597
    PDF: 397
    HTML: 4
  • 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
    2859
    PDF: 1480
    HTML: 4612
  • Interpreting predictive maps of disease: highlighting the pitfalls of distribution models in epidemiology

    Nicola A. Wardrop, Matthew Geary, Patrick E. Osborne, Peter M. Atkinson
    237-246
    01-11-2014
    https://doi.org/10.4081/gh.2014.397
    2115
    PDF: 919
  • Predicting malaria cases using remotely sensed environmental variables in Nkomazi, South Africa

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Geospatial Health
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