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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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  • Developing operational algorithms using linear and non-linear squares estimation in Python® for the identification of Culex pipiens and Culex restuans in a mosquito abatement district (Cook County, Illinois, USA)

    Benjamin G. Jacob, Weidong Gu, Erik X. Caamano, Robert J. Novak
    157-176
    01-05-2009
    https://doi.org/10.4081/gh.2009.218
    1599
    PDF: 1014
  • Comparison of data-fitting models for schistosomiasis: a case study in Xingzi, China

    Yi Hu, Cheng-Long Xiong, Zhi-Jie Zhang, Robert Bergquist, Zeng-Liang Wang, Jie Gao, Rui Li, Bo Tao, Qiu-Lin Jiang, Qingwu Jiang
    125-132
    01-11-2013
    https://doi.org/10.4081/gh.2013.60
    2782
    PDF: 1071
  • 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
    4643
    PDF: 1707
    HTML: 2274
  • Snakebite epidemiology in the State of Mexico, Mexico 2003-2024

    Aldo Gómez-Benitez, Erika Adriana Reyes-Velázquez, Edgar Oviedo-Hernández, Laura Sonia Arzate-Garay, Justin Lloyd Rheubert, Oswaldo Hernández-Gallegos
    09-04-2026
    https://doi.org/10.4081/gh.2026.1468
    308
    PDF: 182
    Supplementary Materials: 16
    HTML: 0
  • Urban gentrification and infectious diseases: an interdisciplinary narrative review

    Behzad Kiani, Gabriel Parker, Senobar Naderian, Colleen L. Lau, Benn Sartorius
    07-07-2025
    https://doi.org/10.4081/gh.2025.1388
    1285
    PDF: 536
    HTML: 87
  • Spatial analysis for the epidemiological study of cardiovascular diseases: A systematic literature search

    Carlos Mena, Cesar Sepúlveda, Eduardo Fuentes, Yony Ormazábal, Iván Palomo
    07-05-2018
    https://doi.org/10.4081/gh.2018.587
    5358
    PDF: 2635
    HTML: 792
  • The distribution of cardiovascular diseases in Tanzania: a spatio-temporal investigation

    Bernada E. Sianga, Maurice C. Mbago, Amina S. Msengwa
    10-09-2024
    https://doi.org/10.4081/gh.2024.1307
    2853
    PDF: 866
    HTML: 234
  • 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
    7215
    PDF: 2501
    HTML: 1221
  • Spatio-temporal statistics: applications in epidemiology, veterinary medicine and ecology

    Annibale Biggeri, Dolores Catelan, David Conesa, Penelope Vounatsou
    18-04-2016
    https://doi.org/10.4081/gh.2016.469
    2452
    PDF: 1488
    HTML: 923
  • 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
    3615
    PDF: 1425
    HTML: 1169
  • Variability of nutrients intake, lipid profile and cardiovascular mortality among geographical areas in Spain: The DRECE study

    Agustín Gòmez de la Cámara, Eva de Andrés Esteban, Gerard Urrútia Cuchí, Enrique Calderòn Sandubete, Miguel Ángel Rubio Herrera, Miguel Menéndez Orenga, David Lora Pablos
    07-11-2017
    https://doi.org/10.4081/gh.2017.524
    2161
    PDF: 943
    HTML: 703
  • 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
    1283
    PDF: 427
    HTML: 17
  • Identification of environmental parameters and risk mapping of visceral leishmaniasis in Ethiopia by using geographical information systems and a statistical approach

    Teshome Tsegaw, Endalamaw Gadisa, Ahmed Seid, Adugna Abera, Aklilu Teshome, Abate Mulugeta, Merce Herrero, Daniel Argaw, Alvar Jorge, Abraham Aseffa
    299-308
    01-05-2013
    https://doi.org/10.4081/gh.2013.88
    4041
    PDF: 1965
  • Susceptibility mapping of visceral leishmaniasis based on fuzzy modelling and group decision-making methods

    Mohamadreza Rajabi, Ali Mansourian, Ahad Bazmani
    37-50
    01-11-2012
    https://doi.org/10.4081/gh.2012.103
    1746
    PDF: 1034
  • 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
    3310
    PDF: 1755
  • Risk map for cutaneous leishmaniasis in Ethiopia based on environmental factors as revealed by geographical information systems and statistics

    Ahmed Seid, Endalamaw Gadisa, Teshome Tsegaw, Adugna Abera, Aklilu Teshome, Abate Mulugeta, Merce Herrero, Daniel Argaw, Alvar Jorge, Asnakew Kebede, Abraham Aseffa
    377-387
    01-05-2014
    https://doi.org/10.4081/gh.2014.27
    6723
    PDF: 2805
  • 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
    2485
    PDF: 1561
  • 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
    10976
    PDF: 2777
  • 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
    2848
    PDF: 1077
    HTML: 946
  • Smartphone-assisted spatial data collection improves geographic information quality: pilot study using a birth records dataset

    Xiaohui Xu, Hui Hu, Sandie Ha, Daikwon Han
    23-11-2016
    https://doi.org/10.4081/gh.2016.482
    2868
    PDF: 983
    HTML: 816
  • 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
    1824
    PDF: 408
    HTML: 100
  • Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study

    Heng-Qian Huang-fu, Nan Zhang, Li Wang, Hui-Juan Liang, Ben-Song Xian, Xiao-Fang Gan, Yingsi Lai
    20-12-2024
    https://doi.org/10.4081/gh.2024.1322
    1581
    PDF: 522
    Supplementary Materials: 147
    HTML: 29
  • 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
    3174
    PDF: 1005
    HTML: 898
  • 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
    2649
    PDF: 1358
    HTML: 1452
  • Spatial pattern of tuberculosis cases in Jos Metropolis, Nigeria in the period 2019-2022

    Augustine Odo Ebonyi, Mary-Jane Ebire Ebonyi, Femi Rufus Tinuola, Isaiah Gwitira
    16-03-2026
    https://doi.org/10.4081/gh.2026.1456
    147
    PDF: 115
    HTML: 5
  • Bayesian zero-inflated spatio-temporal modelling of scrub typhus data in Korea, 2010-2014

    Dayun Kang, Jungsoon Choi
    09-11-2018
    https://doi.org/10.4081/gh.2018.665
    1887
    PDF: 923
    APPENDIX: 380
    HTML: 128
  • 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
    2578
    PDF: 1150
  • Rivers and flooded areas identified by medium-resolution remote sensing improve risk prediction of the highly pathogenic avian influenza H5N1 in Thailand

    Weerapong Thanapongtharm, Thomas P. Van Boeckel, Chandrashekhar Biradar, Xiangming Xiao, Marius Gilbert
    193-201
    01-11-2013
    https://doi.org/10.4081/gh.2013.66
    1899
    PDF: 1172
  • Indirect field technology for detecting areas object of illegal spills harmful to human health: application of drones, photogrammetry and hydrological models

    Alessandra Capolupo, Stefania Pindozzi, Collins Okello, Lorenzo Boccia
    S699-S707
    01-12-2014
    https://doi.org/10.4081/gh.2014.298
    4385
    PDF: 2088
  • Spatial distribution of Biomphalaria spp., the intermediate host snails of Schistosoma mansoni, in Brazil

    Ronaldo G.C. Scholte, Omar S. Carvalho, John B. Malone, Jürg Utzinger, Penelope Vounatsou
    S95-S101
    01-09-2012
    https://doi.org/10.4081/gh.2012.127
    5664
    PDF: 2309
  • A Bayesian kriging model for estimating residential exposure to air pollution of children living in a high-risk area in Italy

    Ana M. Vicedo-Cabrera, Annibale Biggeri, Laura Grisotto, Fabio Barbone, Dolores Catelan
    87-95
    01-11-2013
    https://doi.org/10.4081/gh.2013.57
    2635
    PDF: 1375
  • 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
    1084
    PDF: 547
    HTML: 38
  • Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling

    Uwem F. Ekpo, Eveline Hürlimann, Nadine Schur, Akinola. S. Oluwole, Eniola M. Abe, Margaret A. Mafe, Obiageli J. Nebe, Sunday Isiyaku, Francisca Olamiju, Mukaila Kadiri, Temitope O.S. Poopola, Eka I. Braide, Yisa Saka, Chiedu F. Mafiana, Thomas K. Kristensen, Jürg Utzinger, Penelope Vounatsou
    355-366
    01-05-2013
    https://doi.org/10.4081/gh.2013.92
    5957
    PDF: 2049
  • Vaccine hesitancy in East Malaysia (Sabah): A survey of the national COVID-19 immunisation programme

    Adi Jafar, Mohammad Tahir Mapa, Nordin Sakke, Ramli Dollah, Eko Prayitno Joko, Colonius Atang, Syahruddin Awang Ahmad, Chong Vun Hung, Fionna Geogre
    14-01-2022
    https://doi.org/10.4081/gh.2022.1037
    6139
    PDF: 1186
    HTML: 279
  • Spatial clustering of colorectal cancer in Malaysia

    Sharifah Saffinas Syed Soffian, Azmawati Mohammed Nawi, Rozita Hod, Khairul Nizam Abdul Maulud, Ahmad Tarmizi Mohd Azmi, Mohd Hazrin Hasim Hashim, Huan-Keat Chan, Muhammad Radzi Abu Hassan
    25-05-2023
    https://doi.org/10.4081/gh.2023.1158
    1677
    PDF: 790
    HTML: 15
  • 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
    3126
    PDF: 1338
    HTML: 1024
  • Stunting spatial pattern in Rwanda: An examination of the demographic, socio-economic and environmental determinants

    Vestine Uwiringiyimana, Antonie Veldkamp, Sherif Amer
    06-11-2019
    https://doi.org/10.4081/gh.2019.820
    3419
    PDF: 1751
    HTML: 125
  • 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
    3010
    PDF: 1405
    HTML: 1068
  • The use of geographic information system as a tool for schistosomiasis surveillance in the province of Davao del Norte, the Philippines

    Vicente Y. Belizario, John Paul Caesar R. delos Trinos, Berne Silawan, Chiqui M. De Veyra, Agapito Hornido, Hansel Amoguis, Dominic Basalo, Cherry Dema-ala, Irenn Mantilla, Rosele Layan
    06-11-2017
    https://doi.org/10.4081/gh.2017.540
    7387
    PDF: 2045
    HTML: 2310
  • 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
    3258
    PDF: 835
    VIDEO: 0
    HTML: 677
  • 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
    4552
    PDF: 1626
    HTML: 1218
  • 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
    3305
    PDF: 1432
    HTML: 848
  • The effectiveness of the restricted policy on specific venues in Hong Kong: A spatial point pattern view

    Yijia Liu, Wenzhong Shi, Anshu Zhang, Xiaosheng Zhu
    29-11-2022
    https://doi.org/10.4081/gh.2022.1130
    916
    PDF: 807
    HTML: 21
101 - 143 of 143 items << < 1 2 

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vHealth Section

Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 21 No. 1 (2026)
Spatial inequalities in cancer with special reference to lung cancer across Europe and their implications for environmental health policy
Dimitrios Ntokos
14 April 2026
Vol. 21 No. 1 (2026)
Snakebite epidemiology in the State of Mexico, Mexico 2003-2024
Aldo Gómez-Benitez et al.
9 April 2026
Vol. 21 No. 1 (2026)
Diabetes prevalence in the state of Alabama: identifying the risk factors
Kwaku Karikari Manu et al.
31 March 2026

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Geospatial Health

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