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Geospatial Health

eISSN 1970-7096 - pISSN 1827-1987

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Editor-in-Chief: Robert Bergquist

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  • The effects of the Health Insurance Portability and Accountability Act privacy rule on influenza research using geographical information systems

    Norisse Tellman, Eric R. Litt, Caprice Knapp, Aaron Eagan, Jing Cheng, Lewis J. Jr Radonovich
    3-9
    01-11-2010
    https://doi.org/10.4081/gh.2010.182
    2179
    PDF: 830
  • Residential mobility impacts relative risk estimates of space-time clusters of chlamydia in Kalamazoo County, Michigan

    Claudio Owusu, Michael R. Desjardins, Kathleen M. Baker, Eric Delmelle
    06-11-2019
    https://doi.org/10.4081/gh.2019.812
    1718
    PDF: 747
    HTML: 31
  • Divergent spatial patterns in the prevalence of the human immunodeficiency virus (HIV) and syphilis in South African pregnant women

    Samuel O.M. Manda, Carl J. Lombard, Thabang Mosala
    221-231
    01-05-2012
    https://doi.org/10.4081/gh.2012.140
    1604
    PDF: 1083
  • Spatio-temporal and stochastic modelling of severe acute respiratory syndrome

    Poh-Chin Lai, Kim-Hung Kwong, Ho-Ting Wong
    183-192
    01-11-2013
    https://doi.org/10.4081/gh.2013.65
    1630
    PDF: 1130
  • Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand

    Ei Sandar U, Wongsa Laohasiriwong, Kittipong Sornlorm
    25-05-2023
    https://doi.org/10.4081/gh.2023.1183
    1129
    PDF: 621
    Supplementary Materials: 81
    HTML: 22
  • Spatio-temporal cluster detection of chickenpox in Valencia, Spain in the period 2008-2012

    Adina Iftimi, Francisco Martínez-Ruiz, Ana Míguez Santiyán, Francisco Montes
    18-05-2015
    https://doi.org/10.4081/gh.2015.341
    2846
    PDF: 1192
    HTML: 1194
  • Improving the accuracy of livestock distribution estimates through spatial interpolation

    Ward Bryssinckx, Els Ducheyne, Bernard Muhwezi, Sunday Godfrey, Koen Mintiens, Herwig Leirs, Guy Hendrickx
    101-109
    01-11-2012
    https://doi.org/10.4081/gh.2012.109
    1227
    PDF: 812
  • GIS modeling for canine dirofilariosis risk assessment in central Italy

    Michele Mortarino, Vincenzo Musella, Valeria Costa, Claudio Genchi, Giuseppe Cringoli, Laura Rinaldi
    253-261
    01-05-2008
    https://doi.org/10.4081/gh.2008.248
    1976
    PDF: 826
  • Modelling spatial distribution of snails transmitting parasitic worms with importance to human and animal health and analysis of distributional changes in relation to climate

    Ulrik B. Pedersen, Nicholas Midzi, Takafira Mduluza, White Soko, Anna-Sofie Stensgaard, Birgitte J. Vennervald, Samson Mukaratirwa, Thomas K. Kristensen
    335-343
    01-05-2014
    https://doi.org/10.4081/gh.2014.23
    3966
    PDF: 1685
  • Impact of the COVID-19 pandemic on the number of births in Pernambuco Brazil

    Heitor Victor Veiga da Costa, Cristine Vieira do Bonfim, Wilson Fusco, Morvan de Melo Moreira, Fernando Maciano de Paula Neto
    15-06-2022
    https://doi.org/10.4081/gh.2022.1069
    878
    PDF: 369
    HTML: 48
  • Accounting for autocorrelation in multi-drug resistant tuberculosis predictors using a set of parsimonious orthogonal eigenvectors aggregated in geographic space

    Benjamin G. Jacob, Fiorella Krapp, Mario Ponce, Eduardo Gotuzzo, Daniel A. Griffith, Robert J. Novak
    201-217
    01-05-2010
    https://doi.org/10.4081/gh.2010.201
    1550
    PDF: 880
  • The power of interactive maps for communicating spatio-temporal data to health professionals

    Nils Tjaden, Felix Geeraedts, Caroline K. Kioko, Annelies Riezebos-Brilman, Nashwan al Naiemi, Justine Blanford, Nienke Beerlage-de Jong
    29-08-2024
    https://doi.org/10.4081/gh.2024.1296
    937
    PDF: 402
    HTML: 91
  • Addressing operational challenges of combatting malaria in a remote forest area of Vietnam using spatial decision support system approaches

    Thang Duc Ngo, Sara E. Canavati, Ha Son Dinh, Thinh Duc Ngo, Duong T. Tran, Nicholas J. Martin, Gerard C. Kelly
    06-11-2019
    https://doi.org/10.4081/gh.2019.770
    1820
    PDF: 731
    APPENDIX: 202
    HTML: 54
  • 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
    2286
    PDF: 813
  • 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
    3236
    PDF: 1509
    HTML: 596
  • 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
    3350
    PDF: 1619
    HTML: 2222
  • Geographical information systems-based spatial analysis and implications for syphilis interventions in Jiangsu province, People's Republic of China

    Yue-Jia Cheng, Jessie Norris, Chang-Jun Bao, Qi Liang, Jian-Li Hu, Ying Wu, Fen-Yang Tang, Wen-Dong Liu, Ke-Qin Ding, Yang Zhao, Zhi-Hang Peng, Rong-Bin Yu, Hua Wang, Hong-Bing Shen, Feng Chen
    63-72
    01-11-2012
    https://doi.org/10.4081/gh.2012.105
    2025
    PDF: 954
  • The potential for emergence of Chagas disease in the United States

    Rebecca Click Lambert, Korine N. Kolivras, Lynn M. Resler, Carlyle C. Brewster, Sally L. Paulson
    227-239
    01-05-2008
    https://doi.org/10.4081/gh.2008.246
    2288
    PDF: 1216
  • Ecological study and risk mapping of leishmaniasis in an endemic area of Brazil based on a geographical information systems approach

    Alba Valéria Machado da Silva, Monica de Avelar Figueiredo Mafra Magalhães, Reginaldo Peçanha Brazil, João Carlos Araujo Carreira
    33-40
    01-11-2011
    https://doi.org/10.4081/gh.2011.155
    1573
    PDF: 870
  • Revealing spatio-temporal patterns of rabies spread among various categories of animals in the Republic of Kazakhstan, 2010-2013

    Sarsenbay K. Abdrakhmanov, Kanatzhan K. Beisembayev, Fedor I. Кorennoy, Gulzhan N. Yessembekova, Dosym B. Кushubaev, Ablaikhan S. Кadyrov
    31-05-2016
    https://doi.org/10.4081/gh.2016.455
    2240
    PDF: 1130
    HTML: 1283
  • Optimizing denominator data estimation through a multimodel approach

    Ward Bryssinckx, Els Ducheyne, Veerle Versteirt, Herwig Leirs, Guy Hendrickx
    573-582
    01-05-2014
    https://doi.org/10.4081/gh.2014.47
    1063
    PDF: 771
  • Mapping the main Leishmania phlebotomine vector in the endemic focus of the Mt. Vesuvius in southern Italy

    Erika Rossi, Laura Rinaldi, Vincenzo Musella, Vincenzo Veneziano, Sabrina Carbone, Luigi Gradoni, Giuseppe Cringoli, Michele Maroli
    191-198
    01-05-2007
    https://doi.org/10.4081/gh.2007.267
    1758
    PDF: 670
  • Spatial variations of COVID-19 risk by age in Toronto, Canada

    Nushrat Nazia
    20-07-2022
    https://doi.org/10.4081/gh.2022.1100
    780
    PDF: 304
    Appendix: 124
    HTML: 115
  • Baseline drivers of lymphatic filariasis in Burkina Faso

    Michelle C. Stanton, David H. Molyneux, Dominique Kyelem, Roland W. Bougma, Benjamin G. Koudou, Louise A. Kelly-Hope
    159-173
    01-11-2013
    https://doi.org/10.4081/gh.2013.63
    3120
    PDF: 1183
  • 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
    4925
    PDF: 1734
  • Spatio-temporal analysis of tuberculosis incidence in North Aceh District, Indonesia 2019-2021

    Farrah Fahdhienie, Frans Yosep Sitepu
    29-11-2022
    https://doi.org/10.4081/gh.2022.1148
    1828
    PDF: 1151
    HTML: 108
  • 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
    1605
    PDF: 757
    HTML: 158
  • 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
    2709
    PDF: 1084
    HTML: 1598
  • Survived infancy but still vulnerable: spatial-temporal trends and risk factors for child mortality in the Agincourt rural sub-district, South Africa, 1992-2007

    Benn Sartorius, Kathleen Kahn, Mark A. Collinson, Penelope Vounatsou, Stephen M. Tollman
    285-295
    01-05-2011
    https://doi.org/10.4081/gh.2011.181
    2015
    PDF: 1041
  • Soil-transmitted helminthiasis in Latin America and the Caribbean: modelling the determinants, prevalence, population at risk and costs of control at sub-national level

    Josh Colston, Martha Saboyá
    321-340
    01-05-2013
    https://doi.org/10.4081/gh.2013.90
    2495
    PDF: 1226
  • Contacts between poultry farms, their spatial dimension and their relevance for avian influenza preparedness

    Lena Fiebig, Timo Smieszek, Jennifer Saurina, Jan Hattendorf, Jakob Zinsstag
    79-95
    01-11-2009
    https://doi.org/10.4081/gh.2009.212
    1709
    PDF: 760
  • Spatial analysis of the AIDS mortality rate among young people in a province of the Brazilian Amazon: An ecological study

    Sara Melissa Lago Sousa, Andrey Oeiras Pedroso , Iaron Leal Seabra , Glenda Roberta Oliveira Naiff Ferreira, Aline Maria Pereira Cruz Ramos , Sandra Helena Isse Polaro, Eliã Pinheiro Botelho
    29-11-2022
    https://doi.org/10.4081/gh.2022.1102
    765
    PDF: 653
    HTML: 14
  • Localization of kala-azar in the endemic region of Bihar, India based on land use/land cover assessment at different scales

    Gouri S. Bhunia, Shreekant Kesari, Nandini Chatterjee, Vijay Kumar, Pradeep Das
    177-193
    01-05-2012
    https://doi.org/10.4081/gh.2012.136
    1226
    PDF: 834
  • Early detection of tick-borne encephalitis virus spatial distribution and activity in the province of Trento, northern Italy

    Annapaola Rizzoli, Markus Neteler, Roberto Rosá, Walter Versini, Antonio Cristofolini, Marco Bregoli, Alan Buckley, Ernest A. Gould
    169-176
    01-05-2007
    https://doi.org/10.4081/gh.2007.265
    2963
    PDF: 914
  • 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
    1737
    PDF: 638
    Supplementary Materials: 72
    HTML: 36
  • Characterising the spatial dynamics of sympatric Aedes aegypti and Aedes albopictus populations in the Philippines

    Jennifer Duncombe, Fe Espino, Kristian Marollano, Aldwin Velazco, Scott A. Ritchie, Wenbiao Hu, Philip Weinstein, Archie C. A. Clements
    255-265
    01-11-2013
    https://doi.org/10.4081/gh.2013.71
    2798
    PDF: 1567
  • Evaluating the utility of companion animal tick surveillance practices for monitoring spread and occurrence of human Lyme disease in West Virginia, 2014-2016

    Brian Hendricks, Miguella Mark-Carew, Jamison Conley
    13-11-2017
    https://doi.org/10.4081/gh.2017.582
    2395
    PDF: 713
    HTML: 736
  • Intestinal schistosomiasis and soil-transmitted helminthiasis in Ugandan schoolchildren: a rapid mapping assessment

    Claire J. Standley, Moses Adriko, Moses Alinaitwe, Francis Kazibwe, Narcis B. Kabatereine, J. Russell Stothard
    39-53
    01-11-2009
    https://doi.org/10.4081/gh.2009.209
    2692
    PDF: 1102
  • Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system

    Jia-Cheng Zhang, Wen-Dong Liu, Qi Liang, Jian-Li Hu, Jessie Norris, Ying Wu, Chang-Jun Bao, Fen-Yang Tang, Peng Huang, Yang Zhao, Rong-Bin Yu, Ming-Hao Zhou, Hong-Bing Shen, Feng Chen, Zhi-Hang Peng
    429-435
    01-05-2014
    https://doi.org/10.4081/gh.2014.31
    3012
    PDF: 1075
  • Assessing the risk for dengue fever based on socioeconomic and environmental variables in a geographical information system environment

    Hassan M. Khormi, Lalit Kumar
    171-176
    01-05-2012
    https://doi.org/10.4081/gh.2012.135
    3036
    PDF: 1119
  • 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
    8567
    PDF: 1534
  • Hyperendemicity, heterogeneity and spatial overlap of leprosy and cutaneous leishmaniasis in the southern Amazon region of Brazil

    Amanda Gabriela de Carvalho, João Gabriel Guimarães Luz, João Victor Leite Dias, Anuj Tiwari, Peter Steinmann, Eliane Ignotti
    29-12-2020
    https://doi.org/10.4081/gh.2020.892
    1797
    PDF: 809
    HTML: 30
  • 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
    3477
    PDF: 1806
  • 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
    1273
    PDF: 775
  • Climate-based risk models for Fasciola hepatica in Colombia

    Natalia Valencia-Lòpez, John B. Malone, Catalina Gòmez Carmona, Luz E. Velásquez
    S75-S85
    01-09-2012
    https://doi.org/10.4081/gh.2012.125
    2729
    PDF: 1295
  • Towards assessing fine-scale indicators for the spatial transmission risk of Fasciola hepatica in cattle

    Johannes Charlier, Sita Carolien Bennema, Yannick Caron, Michel Counotte, Els Ducheyne, Guy Hendrickx, Jozef Vercruysse
    239-245
    01-05-2011
    https://doi.org/10.4081/gh.2011.176
    2511
    PDF: 1417
  • Comparison of complete and spatial sampling frames for estimation of the prevalence of hypertension and diabetes mellitus

    Vasna Joshua, Kamaraj Pattabi, Yuvaraj Jeyaraman, Prabhdeep Kaur, Tarun Bhatnagar, Suresh Arunachalam, Sabarinathan Ramasamy, Venkateshprabhu Janagaraj, Manoj V Murhekar
    30-11-2022
    https://doi.org/10.4081/gh.2022.1097
    1993
    PDF: 733
    HTML: 110
  • 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
    2637
    PDF: 1096
  • Ecological niche modeling for visceral leishmaniasis in the state of Bahia, Brazil, using genetic algorithm for rule-set prediction and growing degree day-water budget analysis

    Prixia Nieto, John B. Malone, Maria E. Bavia
    115-126
    01-11-2006
    https://doi.org/10.4081/gh.2006.286
    1771
    PDF: 783
  • 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
    1464
    PDF: 636
    HTML: 92
  • 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
    2631
    PDF: 897
    HTML: 694
  • Dynamic location model for designated COVID-19 hospitals in China

    Wang Fei, Yuan Linghong, Zhang Weigang, Zhang Ruihan
    29-10-2024
    https://doi.org/10.4081/gh.2024.1310
    830
    PDF: 226
    Supplementary Materials: 111
    HTML: 70
  • Spatial analysis and prediction of the flow of patients to public health centres in a middle-sized Spanish city

    Isabel Ramos, Juan J. Cubillas, Francisco R. Feito, Tomas Ureña
    21-11-2016
    https://doi.org/10.4081/gh.2016.452
    1950
    PDF: 985
    HTML: 1117
  • Cascading effects of COVID-19 on population mobility and air quality: An exploration including place characteristics using geovisualization

    Samuel F. Atkinson, Abhishek K. Kala, Chetan Tiwari
    17-02-2022
    https://doi.org/10.4081/gh.2022.1056
    1972
    PDF: 250
    HTML: 32
  • The spatial distribution of injuries in need of surgical intervention in Nepal

    Shailvi Gupta, Thomas A. Groen, Barclay T. Stewart, Sunil Shrestha, David A. Spiegel, Benedict C. Nwomeh, Reinou S. Groen, Adam L. Kushner
    31-05-2016
    https://doi.org/10.4081/gh.2016.359
    3315
    PDF: 1151
    HTML: 1102
  • Mapping the potential distribution of the schistosomiasis intermediate host Biomphalaria straminea in China

    Jingyu Fan, Xuejiao Yuan, Menglin Wang, Gengping Zhu
    09-11-2018
    https://doi.org/10.4081/gh.2018.723
    2045
    PDF: 959
    APPENDIX: 283
    HTML: 104
  • The future of general practitioner care in Lower Saxony, Germany: an analysis of actual vs target states using a GIS-based floating catchment area method

    Jonas Schoo, Frank Schüssler
    19-02-2025
    https://doi.org/10.4081/gh.2025.1339
    1793
    PDF: 484
    HTML: 90
  • Evaluation and control strategy analysis of influenza cases in Jiujiang City, Jiangxi Province, China from 2018 to 2022

    Zhang Zeng, Huomei Xiong
    09-10-2024
    https://doi.org/10.4081/gh.2024.1294
    682
    PDF: 256
    HTML: 73
  • Spatio-temporal analysis of leptospirosis in Brazil and its relationship with flooding

    Alice Nardoni Marteli, Laurindo Antonio Guasselli , Décio Diament , Gabriele Ozório Wink , Vitor Vieira Vasconcelos
    29-11-2022
    https://doi.org/10.4081/gh.2022.1128
    2017
    PDF: 1283
    HTML: 176
  • A spatio-temporal study of state-wide case-fatality risks during the first wave of the COVID-19 pandemic in Mexico

    Ricardo Ramìrez-Aldana , Juan Carlos Gomez-Verjan, Omar Yaxmehen Bello-Chavolla , Lizbeth Naranjo
    24-03-2022
    https://doi.org/10.4081/gh.2022.1054
    1215
    PDF: 332
    Appendix: 165
    HTML: 28
  • Spatial clusters of human and livestock anthrax define high-risk areas requiring intervention in Lao Cai Province, Vietnam 1991-2022

    Tan Luong, Minh Hieu Tran, Ba Uyen Pham, Morgan C. Metrailer, Van Khang Pham, Hoai Linh Nguyen, Thanh Long Pham, Thi Mai Hung Tran, Quang Thai Pham, Thi Thu Ha Hoang, Jason K. Blackburn
    15-04-2024
    https://doi.org/10.4081/gh.2024.1253
    1986
    PDF: 566
    Supplementary Materials: 84
    HTML: 52
  • There is more to satellite imagery than meets the eye

    Robert Bergquist, John B. Malone
    31-05-2022
    https://doi.org/10.4081/gh.2022.1106
    2250
    PDF: 442
    HTML: 19
  • Geospatial modelling to estimate the territory at risk of establishment of influenza type A in Mexico - An ecological study

    Enrique Ibarra-Zapata, Darío Gaytán-Hernández, Verònica Gallegos-García, Claudia Elena González-Acevedo, Thuluz Meza-Menchaca, María Judith Rios-Lugo, Héctor Hernández-Mendoza
    14-05-2021
    https://doi.org/10.4081/gh.2021.956
    1790
    PDF: 499
    HTML: 25
  • Optimizing vaccination sites for infectious diseases based on heterogeneous travel modes in multiple scenarios

    Wentao Yang, Fengjie Wang, Yihan You, Zhixiong Fang, Xing Wang, Xiaoming Mei
    24-03-2025
    https://doi.org/10.4081/gh.2025.1362
    1297
    PDF: 220
    HTML: 75
  • Shrinking risk profiles after deworming of children in Port Elizabeth, South Africa, with special reference to Ascaris lumbricoides and Trichuris trichiura

    Ivan Müller, Stefanie Gall, Lindsey Beyleveld, Markus Gerber, Uwe Pühse, Rosa du Randt, Peter Steinmann, Leyli Zondie, Cheryl Walter, Jürg Utzinger
    27-11-2017
    https://doi.org/10.4081/gh.2017.601
    2987
    PDF: 653
    VIDEO: 0
    HTML: 668
  • Mapping, cluster detection and evaluation of risk factors of ovine toxoplasmosis in Southern Italy

    Roberto Condoleo, Vincenzo Musella, Maria Paola Maurelli, Antonio Bosco, Giuseppe Cringoli, Laura Rinaldi
    31-05-2016
    https://doi.org/10.4081/gh.2016.432
    2444
    PDF: 1118
    HTML: 1219
  • A spatiotemporal analysis of the impact of the COVID-19 outbreak on noise pollution in Tehran, Iran

    Omid Reza Abbasi, Yasser Ebrahimian Ghajari , Ali Asghar Alesheikh
    29-11-2022
    https://doi.org/10.4081/gh.2022.1114
    697
    PDF: 607
    HTML: 9
  • The dog and cat population on Maio Island, Cape Verde: characterisation and prediction based on household survey and remotely sensed imagery

    Ana Carolina Lopes Antunes, Els Ducheyne, Ward Bryssinckx, Sara Vieira, Manuel Malta, Yolanda Vaz, Telmo Nunes, Koen Mintiens
    04-11-2015
    https://doi.org/10.4081/gh.2015.386
    2903
    PDF: 987
    HTML: 1194
  • Do contrasting patterns of migration movements and disease outbreaks between congeneric waterfowl species reflect differing immunity?

    Shenglai Yin, Yanjie Xu, Nyambyar Batbayar, John Y. Takekawa, Yali Si, Diann J. Prosser, Scott H. Newman, Herbert H.T. Prins, Willem F. de Boer
    11-05-2021
    https://doi.org/10.4081/gh.2021.909
    1476
    PDF: 696
    HTML: 9
  • 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
    801
    PDF: 556
    HTML: 19
  • Application of modern spatio-temporal analysis technologies to identify and visualize patterns of rabies emergence among different animal species in Kazakhstan

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    HTML: 27
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