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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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  • Spatial association of public sports facilities with body mass index in Korea

    Eun Jin Han, Kiyeon Kang, So Young Sohn
    07-05-2018
    https://doi.org/10.4081/gh.2018.542
    2149
    PDF: 898
    HTML: 86
  • 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
  • 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
    2098
    PDF: 893
  • Associations between time spent in green areas and physical activity among late middle-aged adults

    Bart Dewulf, Tijs Neutens, Delfien Van Dyck, Ilse De Bourdeaudhuij, Steven Broekx, Carolien Beckx, Nico Van de Weghe
    16-11-2016
    https://doi.org/10.4081/gh.2016.411
    2677
    PDF: 1377
    HTML: 866
  • Does altitude moderate the impact of lithium on suicide? A spatial analysis of Austria

    Marco Helbich, Victor Blüml, Michael Leitner, Nestor D. Kapusta
    209-218
    01-05-2013
    https://doi.org/10.4081/gh.2013.81
    3764
    PDF: 1237
  • 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
    1547
    PDF: 870
  • 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: 825
  • Increased cancer mortality in Taiwanese inter-island migrants

    Meng-Kan Chen, Hsiu-Hsi Chen
    251-263
    01-05-2013
    https://doi.org/10.4081/gh.2013.84
    1249
    PDF: 747
  • Locating irregularly shaped clusters of infection intensity

    Niko Yiannakoulias, Shona Wilson, H. Curtis Kariuki, Joseph K. Mwatha, John H. Ouma, Eric Muchiri, Gachuhi Kimani, Birgitte J. Vennervald, David W. Dunne
    191-200
    01-05-2010
    https://doi.org/10.4081/gh.2010.200
    1111
    PDF: 672
  • Prioritizing the location of vaccination centres during the COVID-19 pandemic by bike in the Netherlands

    Adel Al-Huraibi, Sherif Amer, Justine Blanford
    03-03-2025
    https://doi.org/10.4081/gh.2025.1293
    1468
    PDF: 380
    HTML: 60
  • 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: 1129
    HTML: 1283
  • 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
  • Report-back for geo-referenced environmental data: A case study on personal monitoring of temperature in outdoor workers

    Laura Thompson, Maggie Sugg, Jennifer Runkle
    07-05-2018
    https://doi.org/10.4081/gh.2018.629
    2217
    PDF: 926
    APPENDIX: 291
    HTML: 75
  • The spatiotemporal dynamics and structural covariates of homicide in the Republic of Korea, 2008-2017: A dynamic spatial panel data approach

    Yunho Yeom, Jaehun Choi
    09-05-2022
    https://doi.org/10.4081/gh.2022.1040
    811
    PDF: 478
    HTML: 32
  • 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
    2726
    PDF: 760
    HTML: 812
  • 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
    1742
    PDF: 475
    HTML: 78
  • Haemodialysis services in the northeastern region of Iran

    Behzad Kiani, Nasser Bagheri, Ahmad Tara, Benyamin Hoseini, Mahmoud Tara
    11-05-2017
    https://doi.org/10.4081/gh.2017.561
    3890
    PDF: 1035
    HTML: 900
  • Spatial accessibility to emergency care in Sichuan province in China

    Xuefeng Tang, Yufan Deng, Huazhen Yang, Fan Tian, Youping Li, Jay Pan
    29-12-2020
    https://doi.org/10.4081/gh.2020.891
    1820
    PDF: 704
    HTML: 28
  • 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
    2266
    PDF: 1002
    HTML: 1003
  • Comparing the perception with the reality of walking in a hilly environment: an accessibility method applied to a University campus in Hong Kong

    Guibo Sun, Robert Haining, Hui Lin, Nicolas M. Oreskovic, Jie He
    18-05-2015
    https://doi.org/10.4081/gh.2015.340
    4996
    PDF: 1665
    HTML: 1886
  • A comparison of temporal and location-based sampling strategies for global positioning system-triggered electronic diaries

    Tobias Törnros, Helen Dorn, Markus Reichert, Ulrich Ebner-Priemer, Hans-Joachim Salize, Heike Tost, Andreas Meyer-Lindenberg, Alexander Zipf
    21-11-2016
    https://doi.org/10.4081/gh.2016.473
    5714
    PDF: 1201
    HTML: 968
  • Does the Geohealth domain require a body of knowledge?

    Ellen-Wien Augustijn-Beckers, Sherif Amer, Rob Lemmens, Robert Bergquist
    29-11-2022
    https://doi.org/10.4081/gh.2022.1171
    1528
    PDF: 554
    HTML: 22
  • Spatial abundance and human biting rate of Anopheles arabiensis and Anopheles funestus in savannah and rice agro-ecosystems of Central Tanzania

    Leonard E.G. Mboera, Veneranda M. Bwana, Susan F. Rumisha, Grades Stanley, Patrick K. Tungu, Robert C. Malima
    18-05-2015
    https://doi.org/10.4081/gh.2015.322
    2838
    PDF: 1268
    HTML: 1397
  • Spatial air pollution modelling for a West-African town

    Sirak Zenebe Gebreab, Danielle Vienneau, Christian Feigenwinter, Hampâté Bâ, Guéladio Cissé, Ming-Yi Tsai
    26-11-2015
    https://doi.org/10.4081/gh.2015.321
    3466
    PDF: 1378
    SUPPL. MATERIAL: 387
    HTML: 1078
  • 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
  • Population-level alcohol consumption and suicide mortality rate in South Korea: An application of multivariable spatial regression model

    Yunho Yeom
    14-05-2019
    https://doi.org/10.4081/gh.2019.746
    1524
    PDF: 866
    HTML: 36
  • Understanding needs and barriers to using geospatial tools for public health policymaking in China

    Dohyeong Kim, Yingyuan Zhang, Chang Kil Lee
    07-05-2018
    https://doi.org/10.4081/gh.2018.594
    1667
    PDF: 798
    HTML: 288
  • Satellite imagery technology in public health: analysis of site catchment areas for assessment of poliovirus circulation in Nigeria and Niger

    Marina Takane, Shizu Yabe, Yumiko Tateshita, Yusuke Kobayashi, Akihiko Hino, Kazuo Isono, Hiromasa Okayasu, Ousmane M. Diop, Takeo Tadono
    21-11-2016
    https://doi.org/10.4081/gh.2016.462
    2444
    PDF: 1374
    HTML: 1141
  • Predictive risk mapping of human leptospirosis using support vector machine classification and multilayer perceptron neural network

    Mehrdad Ahangarcani, Mahdi Farnaghi, Mohammad Reza Shirzadi, Petter Pilesjö, Ali Mansourian
    14-05-2019
    https://doi.org/10.4081/gh.2019.711
    2456
    PDF: 1126
    APPENDIX: 289
    HTML: 174
  • 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
    1462
    PDF: 636
    HTML: 92
  • Geographical heterogeneity and socio-ecological risk profiles of dengue in Jakarta, Indonesia

    Heni Prasetyowati, Pandji Wibawa Dhewantara, Joni Hendri, Endang Puji Astuti, Yalemzewod Assefa Gelaw, Harapan Harapan, Mara Ipa, Widyastuti Widyastuti, Dwi Oktavia Tatri Lestari Handayani, Ngabila Salama, Mirsal Picasso
    12-03-2021
    https://doi.org/10.4081/gh.2021.948
    2965
    PDF: 1177
    Appendix: 99
    HTML: 34
  • 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
    1602
    PDF: 467
    HTML: 80
  • Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events

    Susan Maroney, MaryJane McCool-Eye, Andrew Fox, Christopher Burdett
    10-12-2020
    https://doi.org/10.4081/gh.2020.919
    2315
    PDF: 724
    HTML: 94
  • Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020

    Gerardo Núñez Medina
    17-05-2022
    https://doi.org/10.4081/gh.2022.1080
    1009
    PDF: 479
    HTML: 104
  • 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
    2805
    PDF: 1446
  • Analysis of spatio-temporal variations in stroke incidence and case-fatality in Hong Kong

    Pui Hing Chau, Jean Woo, William B. Goggins, Moses Wong, Kam Che Chan, Suzanne C. Ho
    13-20
    01-11-2011
    https://doi.org/10.4081/gh.2011.153
    1505
    PDF: 981
  • 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
    32301
    PDF: 846
  • Mapping and modelling the geographical distribution of soil-transmitted helminthiases in Peninsular Malaysia: implications for control approaches

    Romano Ngui, Aziz Shafie, Kek H. Chua, Mohd S. Mistam, Hesham M. Al-Mekhlafi, Wan W. W. Sulaiman, Rohela Mahmud, Yvonne A. L. Lim
    365-376
    01-05-2014
    https://doi.org/10.4081/gh.2014.26
    4155
    PDF: 1154
  • 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
    1348
    PDF: 803
  • Evaluating web-based static, animated and interactive maps for injury prevention

    Jonathan Cinnamon, Claus Rinner, Michael D. Cusimano, Sean Marshall, Tsegaye Bekele, Tony Hernandez, Richard H. Glazier, Mary L. Chipman
    3-16
    01-11-2009
    https://doi.org/10.4081/gh.2009.206
    2587
    PDF: 1118
  • When homogeneity meets heterogeneity: the geographically weighted regression with spatial lag approach to prenatal care utilisation

    Carla Shoff, Vivian Yi-Ju Chen, Tse-Chuan Yang
    557-568
    01-05-2014
    https://doi.org/10.4081/gh.2014.45
    2083
    PDF: 995
  • Assessing bias associated with geocoding of historical residence in epidemiology research

    Daikwon Han, Matthew R. Bonner, Jing Nie, Jo L. Freudenheim
    369-374
    01-05-2013
    https://doi.org/10.4081/gh.2013.93
    1782
    PDF: 985
  • Spatial patterns and eco-epidemiological systems - part II: characterising spatial patterns of the occurrence of the insect vectors of Chagas disease based on remote sensing and field data

    Emmanuel Roux, Annamaria de Fátima Venâncio, Jean-François Girres, Christine A. Romaña
    53-64
    01-11-2011
    https://doi.org/10.4081/gh.2011.157
    1301
    PDF: 732
  • Geospatial Health: the first five years

    Jürg Utzinger, Laura Rinaldi, John B. Malone, Stefanie J. Krauth, Thomas K. Kristensen, Giuseppe Cringoli, Robert Bergquist
    137-154
    01-11-2011
    https://doi.org/10.4081/gh.2011.166
    2716
    PDF: 1011
  • 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: 868
  • 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
    828
    PDF: 226
    Supplementary Materials: 111
    HTML: 70
  • 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: 395
    HTML: 19
  • Spatial and temporal changes in household structure locations using high-resolution satellite imagery for population assessment: an analysis in southern Zambia, 2006-2011

    Timothy Shields, Jessie Pinchoff, Jailos Lubinda, Harry Hamapumbu, Kelly Searle, Tamaki Kobayashi, Philip E. Thuma, William J. Moss, Frank C. Curriero
    31-05-2016
    https://doi.org/10.4081/gh.2016.410
    2015
    PDF: 869
    HTML: 886
  • 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
    695
    PDF: 606
    HTML: 9
  • Mastering geographically weighted regression: key considerations for building a robust model

    Behzad Kiani, Benn Sartorius, Colleen L. Lau, Robert Bergquist
    29-02-2024
    https://doi.org/10.4081/gh.2024.1271
    7741
    PDF: 1269
    HTML: 846
  • Measuring high-density built environment for public health research: Uncertainty with respect to data, indicator design and spatial scale

    Guibo Sun, Chris Webster, Michael Y. Ni, Xiaohu Zhang
    07-05-2018
    https://doi.org/10.4081/gh.2018.653
    2215
    PDF: 1154
    HTML: 202
  • 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
    1254
    PDF: 207
    HTML: 65
  • 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: 896
    HTML: 694
  • 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
    1986
    PDF: 733
    HTML: 110
  • Epidemiology of canine heartworm (Dirofilaria immitis) infection in domestic dogs in Ontario, Canada: Geographic distribution, risk factors and effects of climate

    Erin McGill, Olaf Berke, Andrew S. Peregrine, J. Scott Weese
    13-05-2019
    https://doi.org/10.4081/gh.2019.741
    3637
    PDF: 1951
    HTML: 720
  • A spatiotemporal analysis of COVID-19 transmission in Jakarta, Indonesia for pandemic decision support

    Agung Syetiawan, Mira Harimurti, Yosef Prihanto
    14-01-2022
    https://doi.org/10.4081/gh.2022.1042
    3647
    PDF: 450
    HTML: 85
  • 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
    2131
    PDF: 1290
    HTML: 918
  • 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
    262
    PDF: 41
  • Geo-epidemiological reporting and spatial clustering of the 10 most prevalent cancers in Iran

    Ebrahim Babaee, Gholamreza Roshandel, Meysam Olfatifar, Arash Tehrani-Banihashemi; Arezou Ashaari; Marzieh Nojomi
    11-05-2021
    https://doi.org/10.4081/gh.2021.904
    2128
    PDF: 829
    HTML: 145
  • Socioeconomic status and deaths due to unintentional injury among children: A socio-spatial analysis in Taiwan

    An-Kuo Chou, Duan-Rung Chen
    13-05-2019
    https://doi.org/10.4081/gh.2019.736
    2504
    PDF: 1218
    APPENDIX: 241
    HTML: 107
  • Spatial and temporal characteristics of cancer in the period from 2004 to 2013 in the Hashemite Kingdom of Jordan

    Salahuddin M. Jaber, Jwan H. Ibbini, Nawal S. Hijjawi, Juhina J. Thnaibat, Omar F. Nimri
    09-11-2018
    https://doi.org/10.4081/gh.2018.695
    1573
    PDF: 715
    HTML: 35
  • Analysing spatial and temporal dynamics of suicide in South Korea: An application of the dynamic spatial panel data model

    Yunho Yeom
    05-05-2021
    https://doi.org/10.4081/gh.2021.964
    2066
    PDF: 845
    HTML: 49
  • Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)

    Sami Ullah, Nurul Hidayah Mohd Nor, Hanita Daud, Nooraini Zainuddin, Muhammad Salim Javed Gandapur, Iftikhar Ali, Alamgir Khalil
    05-05-2021
    https://doi.org/10.4081/gh.2021.961
    3596
    PDF: 1429
    HTML: 76
  • Topographic distribution of gastritis in heavy pigs investigated by a geographic information system approach

    Ernesto Pascotto, Diego Capraro, Paolo Tomè, Mauro Spanghero
    31-05-2016
    https://doi.org/10.4081/gh.2016.436
    1945
    PDF: 921
    HTML: 856
  • Spatiotemporal mapping and detection of mortality cluster due to cardiovascular disease with Bayesian hierarchical framework using integrated nested Laplace approximation: A discussion of suitable statistic applications in Kersa, Oromia, Ethiopia

    Melkamu Dedefo, Henry Mwambi, Sileshi Fanta, Nega Assefa
    12-11-2018
    https://doi.org/10.4081/gh.2018.681
    1873
    PDF: 963
    HTML: 197
  • 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: 1042
    APPENDIX: 265
    HTML: 25
  • 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
  • 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
    1663
    PDF: 797
    APPENDIX: 303
    HTML: 103
  • 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
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vhealths

vHealth Section

Geospatial Health
opens the new vHealth section. Discover vHealth

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Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring
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Keywords

Geospatial Health

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