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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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  • 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
    3117
    PDF: 1165
    HTML: 850
  • 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
    237
    PDF: 31
  • Strategy formulation for schistosomiasis japonica control in different environmental settings supported by spatial analysis: a case study from China

    Zhao Chen, Xiao-Nong Zhou, Kun Yang, Xian-Hong Wang, Zhen-Qi Yao, Tian-Ping Wang, Guo-Jing Yang, Ying-Jing Yang, Shi-Qing Zhang, Jian Wang, Tie-Wu Jia, Xiao-Hua Wu
    223-231
    01-05-2007
    https://doi.org/10.4081/gh.2007.270
    1418
    PDF: 712
  • 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
    2448
    PDF: 871
    HTML: 915
  • Spatio-temporal distribution characteristics of cysticercosis from 2000 to 2014 in Dali, Yunnan province, China.

    Huanzhang Li, Xinzhong Zang, Xiaokang Hu, Eniola Michael Abe, Menbao Qian, Jingbo Xue, Yingdan Chen, Changhai Zhou, Yuhua Liu, Shizhu Li
    29-12-2020
    https://doi.org/10.4081/gh.2020.815
    1192
    HTML: 39
    PDF: 484
  • A 24-year exploratory spatial data analysis of Lyme disease incidence rate in Connecticut, USA

    Abolfazl Mollalo, Jason K. Blackburn, Lillian R. Morris, Gregory E. Glass
    08-11-2017
    https://doi.org/10.4081/gh.2017.588
    2677
    PDF: 1120
    HTML: 998
  • Urbanisation and its effect on risk factors associated with childhood diarrhoea in Mbour, Senegal: A visualisation

    Sokhna Thiam, Samuel Fuhrimann, Aminata Niang-Diène, Ibrahima Sy, Ousmane Faye, Jürg Utzinger, Guéladio Cissé
    27-11-2017
    https://doi.org/10.4081/gh.2017.632
    2278
    PDF: 807
    VIDEO: 0
    HTML: 846
  • 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
    3035
    PDF: 1117
  • 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
    2013
    PDF: 1085
    HTML: 309
  • 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
    3205
    PDF: 1067
    HTML: 1063
  • 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: 636
    Supplementary Materials: 72
    HTML: 36
  • 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
    1384
    PDF: 800
    Appendix: 79
    HTML: 68
  • Continent-wide association of H5N1 outbreaks in wild and domestic birds in Europe

    Richard A. J. Williams, Xiang-Ming Xiao, A. Townsend Peterson
    247-253
    01-05-2011
    https://doi.org/10.4081/gh.2011.177
    1404
    PDF: 725
  • Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases

    Sarah Isnan, Ahmad Fikri bin Abdullah, Abdul Rashid Shariff, Iskandar Ishak, Sharifah Norkhadijah Syed Ismail, Maheshwara Rao Appanan
    07-04-2025
    https://doi.org/10.4081/gh.2025.1277
    767
    PDF: 202
    Supplementary materials: 77
    HTML: 68
  • The use of a vest equipped with a global positioning system to assess water-contact patterns associated with schistosomiasis

    Edmund Y.W. Seto, Freyja Knapp, Bo Zhong, Changhong Yang
    233-241
    01-05-2007
    https://doi.org/10.4081/gh.2007.271
    2243
    PDF: 771
  • Spatial dynamic patterns of hand-foot-mouth disease in the People's Republic of China

    Jin-Feng Wang, Cheng-Dong Xu, Shi-Lu Tong, Hong-Yan Chen, Wei-Zhong Yang
    381-390
    01-05-2013
    https://doi.org/10.4081/gh.2013.95
    2651
    PDF: 1293
  • Water quality and health in a Sahelian semi-arid urban context: an integrated geographical approach in Nouakchott, Mauritania

    Doulo Traoré, Ibrahima Sy, Jürg Utzinger, Michael Epprecht, Ives M. Kengne, Baidy Lô, Peter Odermatt, Ousmane Faye, Guéladio Cissé, Marcel Tanner
    53-63
    01-11-2013
    https://doi.org/10.4081/gh.2013.54
    2056
    PDF: 1079
  • 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
    1659
    PDF: 799
    Supplementary Materials: 99
    HTML: 31
  • 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
    2285
    PDF: 812
  • Identification and mapping of objects targeted for surveillance and their role as risk factors for brucellosis in livestock farms in Kazakhstan

    Aizada A. Mukhanbetkaliyeva, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Zhanat S. Adilbekov, Assylbek A. Zhanabayev, Assem Z. Abenova, Fedor I. Korennoy, Sarsenbay K. Abdrakhmanov
    08-11-2024
    https://doi.org/10.4081/gh.2024.1335
    1000
    PDF: 301
    HTML: 43
  • 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
    3756
    PDF: 1008
    HTML: 736
  • Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance

    Amanda G. Carvalho, Carolina Lorraine H. Dias, David J. Blok, Eliane Ignotti, João Gabriel G. Luz
    06-10-2023
    https://doi.org/10.4081/gh.2023.1227
    1099
    PDF: 503
    Supplementary Materials: 44
    HTML: 11
  • Cystic echinococcosis in cattle dairy farms: spatial distribution and epidemiological dynamics

    Antonio Scala, Antonio Bosco, Anna Paola Pipia, Claudia Tamponi, Vincenzo Musella, Nicola Costanzo, Francesco Testoni, Antonio Montisci, Giovanni Mocci, Alessandro Longhi, Laura Tilocca, Laura Rinaldi, Giuseppe Cringoli, Antonio Varcasia
    29-05-2017
    https://doi.org/10.4081/gh.2017.562
    2264
    PDF: 1002
    HTML: 1003
  • Spatiotemporal analysis of hand, foot and mouth disease data using time-lag geographically-weighted regression

    Zhi-Min Hong, Hu-Hu Wang, Yan-Juan Wang, Wen-Rui Wang
    29-12-2020
    https://doi.org/10.4081/gh.2020.849
    1669
    PDF: 718
    HTML: 25
  • 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
    2520
    PDF: 994
    HTML: 1096
  • A geographical information system model to define COVID-19 problem areas with an analysis in the socio-economic context at the regional scale in the North of Spain

    Olga De Cos, Valentín Castillo-Salcines, David Cantarero-Prieto
    18-03-2022
    https://doi.org/10.4081/gh.2022.1067
    1425
    PDF: 405
    HTML: 34
  • Spatio-temporal correlation between human and bovine schistosomiasis in China: insight from three national sampling surveys

    Xiao-Hua Wu, Xian-Hong Wang, Jürg Utzinger, Kun Yang, Thomas K. Kristensen, Robert Bergquist, Gen-Ming Zhao, Hui Dang, Xiao-Nong Zhou
    75-84
    01-11-2007
    https://doi.org/10.4081/gh.2007.256
    2240
    PDF: 790
  • Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China

    Guo-Jing Yang, Penelope Vounatsou, Marcel Tanner, Xiao-Nong Zhou, Jürg Utzinger
    85-92
    01-11-2006
    https://doi.org/10.4081/gh.2006.283
    2265
    PDF: 948
  • Human infections and co-infections with helminths in a rural population in Guichi, Anhui Province, China

    Yi Hu, Rui Li, Michael P. Ward, Yue Chen, Henry Lynn, Decheng Wang, Gengxin Chen, Zonggui He, Liqian Sun, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang
    04-11-2015
    https://doi.org/10.4081/gh.2015.374
    2236
    PDF: 1113
    HTML: 968
  • 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
    2107
    PDF: 1128
    HTML: 1119
  • Spatial autocorrelation and stratified heterogeneity in the evaluation of breast cancer risk inequity and socioeconomic factors analysis in China: Evidence from Nanchang, Jiangxi Province

    Yaqi Wang, Zhiwei Wan
    17-05-2022
    https://doi.org/10.4081/gh.2022.1078
    1413
    PDF: 732
    HTML: 114
  • A geospatial risk assessment model for leprosy in Ethiopia based on environmental thermal-hydrological regime analysis

    Azeb Tadesse Argaw, E.J. Shannon, Abraham Assefa, Fekade Silassie Mikru, Berhane Kidane Mariam, John B. Malone
    105-113
    01-11-2006
    https://doi.org/10.4081/gh.2006.285
    2180
    PDF: 911
  • 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
    1159
    PDF: 523
    HTML: 23
  • Study of the variation of schistosomiasis risk in Lake Poyang in the People's Republic of China using multiple space-borne sensors for monitoring and modelling

    Kuo-Hsin Tseng, Song Liang, Motomu Ibaraki, Hyongki Lee, C. K. Shum
    353-364
    01-05-2014
    https://doi.org/10.4081/gh.2014.25
    1504
    PDF: 908
  • 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
    2636
    PDF: 1093
  • Place and health infrastructure in the Gulf Cooperation Council: A systematic scoping review of GIS applications in health

    Dari Alhuwail, Saad AlSharrah, Neil T Coffee, Faisal H Al-Refaei, Mark Daniel
    29-12-2020
    https://doi.org/10.4081/gh.2020.887
    2495
    PDF: 913
    HTML: 40
  • Understanding COVID-19: comparison of spatio-temporal analysis methods used to study epidemic spread patterns in the United States

    Chunhui Liu, Xiaodi Su, Zhaoxuan Dong, Xingyu Liu, Chunxia Qiu
    25-05-2023
    https://doi.org/10.4081/gh.2023.1200
    991
    PDF: 501
    HTML: 49
  • 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
    2442
    PDF: 907
    HTML: 53
  • Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions

    Lucy Chimoyi, Zvifadzo Matsena-Zingoni, Salome Charalambous, Edmore Marinda, Samuel Manda, Eustasius Musenge
    29-08-2022
    https://doi.org/10.4081/gh.2022.1084
    1893
    PDF: 454
    Supplementary 1: 76
    Supplementary 2: 221
    HTML: 143
  • 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
    2476
    PDF: 1101
    HTML: 210
  • Reducing bias in risk indices for COVID-19

    Michał Paweł Michalak, Jack Cordes, Agnieszka Kulawik, Sławomir Sitek, Sławomir Pytel, Elżbieta Zuzańska-Żyśko, Radosław Wieczorek
    14-01-2022
    https://doi.org/10.4081/gh.2022.1013
    2617
    PDF: 264
    Appendix: 325
    HTML: 28
  • COVID-19, air quality and space monitoring

    Yves M. Tourre, Mireille Paulin, Gilles Dhonneur, David Attias, Atul Pathak
    06-04-2022
    https://doi.org/10.4081/gh.2022.1052
    1443
    PDF: 394
    HTML: 19
  • 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
    2427
    PDF: 770
    HTML: 725
  • 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
    2897
    PDF: 905
    HTML: 23
  • 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: 1508
    HTML: 595
  • 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
    1971
    PDF: 250
    HTML: 32
  • 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
    2664
    PDF: 1260
    APPENDIX: 364
    HTML: 220
  • Implications from assessing environmental effects on spatio-temporal pattern of schistosomiasis in the Yangtze Basin, China

    Fenghua Gao, Michael P. Ward, Yan Wang, Zhijie Zhang, Yi Hu
    12-11-2018
    https://doi.org/10.4081/gh.2018.730
    1233
    PDF: 792
    HTML: 30
  • Geographic distribution of canine heartworm (Dirofilaria immitis) infection in stray dogs of eastern Romania

    Lavinia Ciucă, Vincenzo Musella, Liviu D. Miron, Maria Paola Maurelli, Giuseppe Cringoli, Antonio Bosco, Laura Rinaldi
    21-11-2016
    https://doi.org/10.4081/gh.2016.499
    4103
    PDF: 1454
    HTML: 2236
  • 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
    2940
    PDF: 1251
    HTML: 1422
  • Schistosoma japonicum risk in Jiangsu province, People's Republic of China: identification of a spatio-temporal risk pattern along the Yangtze River

    Kun Yang, Le-Ping Sun, You-Sheng Liang, Feng Wu, Wei Li, Jian-Feng Zhang, Yi-Xin Huang, De-Rong Hang, Song Liang, Robert Bergquist, Xiao-Nong Zhou
    133-142
    01-11-2013
    https://doi.org/10.4081/gh.2013.61
    2442
    PDF: 881
  • Space-time scan statistics of 2007-2013 dengue incidence in Cimahi city, Indonesia

    Pandji Wibawa Dhewantara, Andri Ruliansyah, M. Ezza Azmi Fuadiyah, Endang Puji Astuti, Mutiara Widawati
    27-11-2015
    https://doi.org/10.4081/gh.2015.373
    5091
    PDF: 1703
    HTML: 1016
  • 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
    32291
    PDF: 845
  • Epidemiological characteristics and determination of spatio-temporal clusters during the 2013 dengue outbreak in Chiang Mai, Thailand

    Veerasak Punyapornwithaya, Chalutwan Sansamur, Arisara Charoenpanyanet
    29-12-2020
    https://doi.org/10.4081/gh.2020.857
    1461
    PDF: 634
    HTML: 10
  • Child mortality inequalities across Rwanda districts: a geoadditive continuous-time survival analysis

    François Niragire, Thomas N.O. Achia, Alexandre Lyambabaje, Joseph Ntaganira
    11-05-2017
    https://doi.org/10.4081/gh.2017.450
    2875
    PDF: 1433
    HTML: 1377
  • Spatio-temporal outbreaks of campylobacteriosis and the role of fresh-milk vending machines in the Czech Republic: A methodological study

    Lukáš Marek, Vít Pászto
    08-11-2017
    https://doi.org/10.4081/gh.2017.572
    2509
    PDF: 652
    HTML: 830
  • 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
    8553
    PDF: 1534
  • 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
    3476
    PDF: 1804
  • 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
    1768
    PDF: 782
  • 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: 669
  • 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
    2720
    PDF: 1291
  • 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
    1949
    PDF: 982
    HTML: 1117
  • Climate and the distribution of vector-borne diseases: what's in store?

    Robert Bergquist
    08-05-2017
    https://doi.org/10.4081/gh.2017.549
    3109
    PDF: 1164
    HTML: 841
  • Predicting transmission of pulmonary tuberculosis in Daerah Istimewa Yogyakarta Province, Indonesia

    Al Asyary, Aries Prasetyo, Tris Eryando, Yodi Mahendradhata
    14-05-2019
    https://doi.org/10.4081/gh.2019.673
    2050
    PDF: 1040
    APPENDIX: 264
    HTML: 25
  • Sandwich mapping of schistosomiasis risk in Anhui Province, China

    Yi Hu, Robert Bergquist, Henry Lynn, Fenghua Gao, Qizhi Wang, Shiqing Zhang, Rui Li, Liqian Sun, Congcong Xia, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang
    03-06-2015
    https://doi.org/10.4081/gh.2015.324
    2819
    PDF: 1129
    HTML: 1072
  • 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
    1795
    PDF: 808
    HTML: 30
  • 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
    1826
    PDF: 1146
    HTML: 108
  • 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
    2015
    PDF: 1282
    HTML: 176
  • Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle

    Fleur Hierink, Nima Yaghmaei, Mirjam I. Bakker, Nicolas Ray, Marc van den Homberg
    29-10-2024
    https://doi.org/10.4081/gh.2024.1284
    5832
    PDF: 502
    Supplementary Materials: 150
    HTML: 85
  • Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019–2021

    Farrah Fahdhienie, Frans Yosep Sitepu, Elpiani Br Depari
    03-09-2024
    https://doi.org/10.4081/gh.2024.1318
    1154
    PDF: 460
    HTML: 94
  • Spatial association between COVID-19 incidence rate and nighttime light index

    Amornrat Luenam, Nattapong Puttanapong
    18-03-2022
    https://doi.org/10.4081/gh.2022.1066
    1599
    PDF: 465
    HTML: 80
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    Lena Fiebig, Timo Smieszek, Jennifer Saurina, Jan Hattendorf, Jakob Zinsstag
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  • Do contrasting patterns of migration movements and disease outbreaks between congeneric waterfowl species reflect differing immunity?

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    2631
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Geospatial Health
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Geospatial Health

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