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eISSN 1970-7096 - pISSN 1827-1987

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Editor-in-Chief: Robert Bergquist

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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
    2420
    PDF: 765
    HTML: 725
  • 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
    5890
    PDF: 2075
    Appendix: 538
    HTML: 3235
    Appendix: 189
  • 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
    2933
    PDF: 1247
    HTML: 1421
  • 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
    4196
    PDF: 1611
    Appendix: 480
    HTML: 1576
  • 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
    4203
    PDF: 1356
    HTML: 1161
  • 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
    3483
    PDF: 1981
    HTML: 1261
  • 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
    2938
    PDF: 959
    HTML: 68
  • 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
    2509
    PDF: 985
    HTML: 1096
  • 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
    3804
    PDF: 1083
    Appendix: 450
    HTML: 1210
  • 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
    2894
    PDF: 900
    HTML: 23
  • 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
    3809
    PDF: 1470
    APPENDIX 1: 404
    APPENDIX 2: 392
    HTML: 1637
  • 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
    5845
    PDF: 2308
    HTML: 3062
  • 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
    3899
    PDF: 1564
    HTML: 1739
  • 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
    2098
    PDF: 1122
    HTML: 1119
  • 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
    6651
    PDF: 2147
    HTML: 1135
  • 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
    2370
    PDF: 1127
    HTML: 1429
  • 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
    1071
    PDF: 463
    HTML: 91
  • 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
    2178
    PDF: 1171
    HTML: 133
  • 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
    1599
    PDF: 753
    HTML: 157
  • 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
    4006
    PDF: 1599
    HTML: 2541
  • 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
    2605
    PDF: 1193
    HTML: 1037
  • 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
    792
    PDF: 550
    HTML: 19
  • 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
    3330
    PDF: 1107
    APPENDIX: 351
    HTML: 836
  • 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
    2440
    PDF: 855
  • 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
    460
    PDF: 133
    HTML: 22
  • Estimating malaria burden in Nigeria: a geostatistical modelling approach

    Nnadozie Onyiri
    04-11-2015
    https://doi.org/10.4081/gh.2015.306
    6993
    PDF: 2833
    HTML: 3245
  • 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
    2136
    PDF: 885
    HTML: 127
  • 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
    2439
    PDF: 905
    HTML: 52
  • 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
    6017
    PDF: 1756
    HTML: 2142
  • 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
    1517
    PDF: 816
  • 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
    3112
    PDF: 1160
    HTML: 850
  • 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
    3622
    PDF: 1616
    HTML: 1268
  • 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
    2695
    PDF: 1077
    HTML: 1598
  • 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
    4002
    PDF: 2088
    HTML: 2145
  • 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
    1649
    PDF: 792
    Supplementary Materials: 99
    HTML: 30
  • 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
    1564
    PDF: 893
  • 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
    2830
    PDF: 1264
  • 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
    2930
    PDF: 1515
  • 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
    1372
    PDF: 721
  • 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
    3414
    PDF: 1409
    HTML: 1177
  • 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
    906
    PDF: 289
    HTML: 46
  • 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
    1714
    PDF: 753
    HTML: 42
  • 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
    1854
    PDF: 938
  • 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
    1268
    PDF: 771
  • 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
    3849
    PDF: 1591
    HTML: 1230
  • 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
    1152
    PDF: 522
    HTML: 23
  • 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
    3327
    PDF: 1447
    HTML: 1100
  • 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
    3993
    PDF: 1878
  • 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
    3068
    PDF: 1337
    HTML: 1025
  • 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
    1431
    PDF: 714
    HTML: 54
  • 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
    3374
    PDF: 1406
  • 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
    2712
    PDF: 1319
    HTML: 810
  • 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
    3051
    PDF: 1691
  • 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
    2830
    PDF: 1437
    HTML: 4580
  • 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
    2867
    PDF: 762
    HTML: 861
  • 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
    2436
    PDF: 867
    HTML: 914
  • 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
    1152
    PDF: 689
    HTML: 29
  • 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
    2082
    PDF: 790
  • 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
    1693
    PDF: 824
  • 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
    6390
    PDF: 3209
  • 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
    2654
    PDF: 1252
    APPENDIX: 363
    HTML: 218
  • 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
    2525
    PDF: 1149
  • 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
    3417
    PDF: 1705
  • 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
    2150
    PDF: 1268
  • 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
    3228
    PDF: 1501
    HTML: 590
  • 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
    3817
    PDF: 1740
  • 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
    3877
    PDF: 1444
    HTML: 1451
  • 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
    3917
    PDF: 1754
  • 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
    5091
    PDF: 2266
    HTML: 1978
  • Epidemiological aspects and spatial distribution of human and canine visceral leishmaniasis in an endemic area in northeastern Brazil

    Roseane Campos, Márcio Santos, Gabriel Tunon, Luana Cunha, Lucas Magalhães, Juliana Moraes, Danielle Ramalho, Sanmy Lima, José Antônio Pacheco, Michael Lipscomb, Amélia Ribeiro de Jesus, Roque Pacheco de Almeida
    11-05-2017
    https://doi.org/10.4081/gh.2017.503
    4834
    PDF: 1856
    HTML: 1137
  • The spatial distribution of Anopheles gambiae sensu stricto and An. arabiensis (Diptera: Culicidae) in Mali

    N. Sogoba, P. Vounatsou, M.M. Bagayoko, S. Doumbia, G. Dolo, L. Gosoniu, S.F. Traore, Y.T. Toure, T. Smith
    213-222
    01-05-2007
    https://doi.org/10.4081/gh.2007.269
    2355
    PDF: 834
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Geospatial Health
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