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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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  • Development of the first georeferenced map of Rhipicephalus (Boophilus) spp. in Mexico from 1970 to date and prediction of its spatial distribution

    Yazmin Alcala-Canto, Juan Antonio Figueroa-Castillo, Froylán Ibarra-Velarde, Yolanda Vera-Montenegro, María Eugenia Cervantes-Valencia, Abdelfattah Z.M. Salem, Jorge Alfredo Cuéllar-Ordaz
    07-05-2018
    https://doi.org/10.4081/gh.2018.624
    4197
    PDF: 1097
    HTML: 253
  • Zoning the territory of the Republic of Kazakhstan as to the risk of rabies among various categories of animals

    Sarsenbay K. Abdrakhmanov, Akhmetzhan A. Sultanov, Kanatzhan K. Beisembayev, Fedor I. Korennoy, Dosym B. Кushubaev, Ablaikhan S. Каdyrov
    31-05-2016
    https://doi.org/10.4081/gh.2016.429
    2583
    PDF: 1168
    APPENDIX: 606
    HTML: 1441
  • 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
    2160
    PDF: 940
    HTML: 127
  • Mapping of the environmental contamination of Toxoplasma gondii by georeferencing isolates from chickens in an endemic area in Southeast Rio de Janeiro State, Brazil

    Luciana Casartelli-Alves, Maria Regina Reis Amendoeira, Viviane Cardoso Boechat, Luiz Cláudio Ferreira, João Carlos Araujo Carreira, José Leonardo Nicolau, Eloiza Paula de Freitas Trindade, Julia Novaes de Barros Peixoto, Mônica de Avelar Figueiredo Mafra Magalhães, Raquel de Vasconcellos Carvalhaes de Oliveira, Tânia Maria Pacheco Schubach, Rodrigo Caldas Menezes
    18-05-2015
    https://doi.org/10.4081/gh.2015.311
    3209
    PDF: 1368
    HTML: 1505
  • Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil

    Moara de Santana Martins Rodgers, Elivelton Fonseca, Prixia del Mar Nieto, John B. Malone, Jeffery C. Luvall, Jennifer C. McCarroll, Ryan Harry Avery, Maria Emilia Bavia, Raul Guimaraes, Xue Wen, Marta Mariana Nascimento Silva, Deborah D.M.T. Carneiro, Luciana Lobato Cardim
    08-06-2022
    https://doi.org/10.4081/gh.2022.1095
    1365
    PDF: 804
    HTML: 49
  • Spatialising health research: what we know and where we are heading

    Tse-Chuan Yang, Carla Shoff, Aggie J. Noah
    161-168
    01-05-2013
    https://doi.org/10.4081/gh.2013.77
    2933
    PDF: 1109
  • Spatiality in small area estimation: A new structure with a simulation study

    Yadollah Mehrabi, Amir Kavousi, Ahmad-Reza Baghestani, Mojtaba Soltani-Kermanshahi
    29-12-2020
    https://doi.org/10.4081/gh.2020.872
    1043
    PDF: 484
    Supplementary materials: 139
    HTML: 11
  • 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
    2679
    PDF: 1266
    HTML: 1046
  • A Bayesian spatiotemporal Poisson conditional autoregressive model for dengue haemorrhagic fever in Indonesia integrating satellite-generated environmental data

    Sukarna Sukarna, Hari Wijayanto, Yenni Angraini, Anang Kurnia
    18-07-2025
    https://doi.org/10.4081/gh.2025.1379
    188
    PDF: 141
    HTML: 0
  • 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
    718
    PDF: 653
    HTML: 9
  • 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
    832
    PDF: 538
    HTML: 32
  • Spatio-temporal analysis of fox rabies cases in Germany 2005-2006

    Matthias Eckardt, Conrad Freuling, Thomas Müller, Thomas Selhorst
    03-06-2015
    https://doi.org/10.4081/gh.2015.313
    2719
    PDF: 1154
    HTML: 1205
  • 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
    2369
    PDF: 784
    HTML: 103
  • 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
    2550
    PDF: 1168
    HTML: 211
  • Mosquito habitat and dengue risk potential in Kenya: alternative methods to traditional risk mapping techniques

    David F. Attaway, Kathryn H. Jacobsen, Allan Falconer, Germana Manca, Lauren Rosenshein Bennett, Nigel M. Waters
    119-130
    01-11-2014
    https://doi.org/10.4081/gh.2014.10
    3115
    PDF: 1531
  • Identifying inequitable exposure to toxic air pollution in racialized and low-income neighbourhoods to support pollution prevention

    Suzanne Kershaw, Stephanie Gower, Claus Rinner, Monica Campbell
    265-278
    01-05-2013
    https://doi.org/10.4081/gh.2013.85
    4801
    PDF: 2253
  • 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
    3579
    PDF: 1552
  • 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
    1813
    PDF: 891
    Supplementary Materials: 128
    HTML: 40
  • Assessments of residential and global positioning system activity space for food environments, body mass index and blood pressure among low-income housing residents in New York City

    Kosuke Tamura, Brian Elbel, Jessica K. Athens, Pasquale E. Rummo, Basile Chaix, Seann D. Regan, Yazan A. Al-Ajlouni, Dustin T. Duncan
    09-11-2018
    https://doi.org/10.4081/gh.2018.712
    2226
    PDF: 1058
    HTML: 61
  • Monitoring techniques in the capture and adoption of dogs and cats

    Jason Onell Ardila Galvis, Oswaldo Santos Baquero, Ricardo Augusto Dias, Fernando Ferreira, Evelyn Nestori Chiozzotto, José Henrique Hildebrand Grisi-Filho
    04-11-2015
    https://doi.org/10.4081/gh.2015.339
    3925
    PDF: 1657
    HTML: 1465
  • Spatio-temporal patterns of dengue in Malaysia: combining address and sub-district level

    Cheong Y. Ling, Oliver Gruebner, Alexander Krämer, Tobia Lakes
    131-140
    01-11-2014
    https://doi.org/10.4081/gh.2014.11
    3434
    PDF: 1884
  • From Snow’s map of cholera transmission to dynamic catchment boundary delineation: current front lines in spatial analysis

    Behzad Kiani, Colleen Lau, Robert Bergquist
    26-10-2023
    https://doi.org/10.4081/gh.2023.1247
    1440
    PDF: 668
    HTML: 22
  • 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
    2476
    PDF: 1150
    HTML: 1220
  • Regional variation of alanine aminotransferase serum levels in the People's Republic of China

    Peng Li, Miao Ge, Jing Jing, Dezhi Wei
    28-11-2017
    https://doi.org/10.4081/gh.2017.472
    2351
    PDF: 517
    HTML: 699
  • Combining process-based and correlative models improves predictions of climate change effects on Schistosoma mansoni transmission in eastern Africa

    Anna-Sofie Stensgaard, Mark Booth, Grigory Nikulin, Nicky McCreesh
    31-03-2016
    https://doi.org/10.4081/gh.2016.406
    3808
    PDF: 1360
    HTML: 1054
  • Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites

    Guillermo Albrieu-Llinás, Manuel O. Espinosa, Agustín Quaglia, Marcelo Abril, Carlos Marcelo Scavuzzo
    07-05-2018
    https://doi.org/10.4081/gh.2018.654
    2788
    PDF: 1215
    HTML: 186
  • Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate

    I Gede Nyoman Mindra Jaya, Yudhie Andriyana, Bertho Tantular
    22-03-2022
    https://doi.org/10.4081/gh.2022.1070
    1260
    PDF: 392
    HTML: 32
  • Exploring geomasking methods for geoprivacy: a pilot study in an environment with built features

    Alok Tiwari, Sohail Ahmad, Emad Qurunflah, Mansour Helmi, Ayad Almaimani, Alaa Alaidroos, Majed Mustafa Hallawani
    17-10-2023
    https://doi.org/10.4081/gh.2023.1205
    942
    PDF: 517
    HTML: 145
  • Effects of weather and landscape on the equine West Nile virus infection risk in Mississippi, USA

    Guiming Wang
    04-11-2015
    https://doi.org/10.4081/gh.2015.357
    1965
    PDF: 1257
    HTML: 952
  • Geostatistical integration and uncertainty in pollutant concentration surface under preferential sampling

    Laura Grisotto, Dario Consonni, Lorenzo Cecconi, Dolores Catelan, Corrado Lagazio, Pier Alberto Bertazzi, Michela Baccini, Annibale Biggeri
    18-04-2016
    https://doi.org/10.4081/gh.2016.426
    2140
    PDF: 1597
    HTML: 1139
  • Spatial Bayesian semi-parametric Cox-Leroux modelling of stroke patient hospitalization: aspects on survival

    Aswi Aswi, Bobby Poerwanto, Nurussyariah Hammado, Nurwan Nurwan, Oktaviana Oktaviana, Siti Djawijah, Susanna Cramb
    21-07-2025
    https://doi.org/10.4081/gh.2025.1380
    181
    PDF: 68
    HTML: 0
  • 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
    1708
    PDF: 776
    HTML: 25
  • 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
    1750
    PDF: 811
  • Hospital distribution in a metropolitan city: assessment by a geographical information system grid modelling approach

    Kwang-Soo Lee, Kyeong-Jun Moon
    537-544
    01-05-2014
    https://doi.org/10.4081/gh.2014.43
    1785
    PDF: 1108
  • 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
    2850
    PDF: 1658
  • 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
    3161
    PDF: 1216
    HTML: 850
  • 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
    794
    PDF: 374
    HTML: 19
  • Use of geographic information system as a tool for schistosomiasis surveillance in an endemic Municipality in Eastern Samar, The Philippines

    Vicente Y. Belizario, Jr., John Paul Caesar R. delos Trinos, Nestor Lentejas, Allen J. Alonte, Agnes N. Cuayzon, Marian E. Isiderio, Rodel Delgado, Marilou Tejero, Victorio B. Molina
    14-05-2021
    https://doi.org/10.4081/gh.2021.957
    4924
    PDF: 1639
    HTML: 411
  • 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
    3873
    PDF: 1595
    APPENDIX 1: 429
    APPENDIX 2: 420
    HTML: 1639
  • Planning for Rift Valley fever virus: use of geographical information systems to estimate the human health threat of white-tailed deer (Odocoileus virginianus)-related transmission

    Sravan Kakani, A. Desirée LaBeaud, Charles H. King
    33-43
    01-11-2010
    https://doi.org/10.4081/gh.2010.185
    1341
    PDF: 866
  • Long-term exposure to gaseous air pollutants and cardio-respiratory mortality in Brisbane, Australia

    Xiao Yu Wang, Wenbiao Hu, Shilu Tong
    257-263
    01-05-2009
    https://doi.org/10.4081/gh.2009.225
    1645
    PDF: 1082
  • Development of a hexagonal, mesh-based distribution method for community health centres

    Yinan Zhou, Ge Bai, Li Luo
    09-11-2018
    https://doi.org/10.4081/gh.2018.648
    1819
    PDF: 785
    HTML: 40
  • Impact of climate change on dengue fever: a bibliometric analysis

    Mai Liu, Yin Zhang
    19-02-2025
    https://doi.org/10.4081/gh.2025.1301
    2256
    PDF: 676
    Supplementary Materials: 318
    HTML: 92
  • 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
    4958
    PDF: 1955
    HTML: 1138
  • 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
    2207
    PDF: 1354
  • 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
    5447
    PDF: 2497
  • Spatio-temporal analysis and visualisation of the anthrax epidemic situation in livestock in Kazakhstan over the period 1933-2016

    Sarsenbay K. Abdrakhmanov, Yersyn Y. Mukhanbetkaliyev, Fedor I. Korennoy, Bolat Sh. Karatayev, Aizada A. Mukhanbetkaliyeva, Aruzhan S. Abdrakhmanova
    13-11-2017
    https://doi.org/10.4081/gh.2017.589
    3538
    PDF: 1113
    HTML: 913
  • Bayesian spatial modelling and the significance of agricultural land use to scrub typhus infection in Taiwan

    Nicola A. Wardrop, Chi-Chien Kuo, Hsi-Chieh Wang, Archie C. A. Clements, Pei-Fen Lee, Peter M. Atkinson
    229-239
    01-11-2013
    https://doi.org/10.4081/gh.2013.69
    2572
    PDF: 956
  • Dynamic effect of economic growth on the persistence of suicide rates

    Tzu-Yi Yang, Yu-Tai Yang, Ssu-Han Chen, Yu-Ting Lan, Chia-Jui Peng
    25-05-2023
    https://doi.org/10.4081/gh.2023.1201
    700
    PDF: 487
    HTML: 19
  • Spatial analysis of antimicrobial resistance in the environment. A systematic review

    Patrick Spets, Karin Ebert, Patrik Dinnétz
    25-05-2023
    https://doi.org/10.4081/gh.2023.1168
    2367
    PDF: 788
    Supplementary Materials: 177
    HTML: 58
  • 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
    2878
    PDF: 1525
    HTML: 4652
  • Effects of geographical factors on reference values of the thyroid stimulating hormone in healthy adults in China and its clinical significance

    Xinrui Pang, Miao Ge, Congxia Wang, Jinwei He
    06-05-2022
    https://doi.org/10.4081/gh.2022.1030
    1035
    PDF: 457
    HTML: 223
  • 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
    3710
    PDF: 509
    HTML: 87
  • 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
    2094
    PDF: 1096
    APPENDIX: 284
    HTML: 26
  • Effect modification of the association between meteorological variables and mortality by urban climatic conditions in the tropical city of Kaohsiung, Taiwan

    William B. Goggins, Chao Ren, Edward Ng, Chunyuh Yang, Emily Y.Y. Chan
    37-44
    01-11-2013
    https://doi.org/10.4081/gh.2013.52
    2138
    PDF: 1202
  • Validation of an interactive map assessing the potential spread of Galba truncatula as intermediate host of Fasciola hepatica in Switzerland

    Rhea Baggenstos, Tobias Dahinden, Paul R. Torgerson, Hansruedi Bär, Christina Rapsch, Gabriela Knubben-Schweizer
    31-05-2016
    https://doi.org/10.4081/gh.2016.418
    2165
    PDF: 962
    HTML: 1002
  • A GIS framework for the assessment of tick impact on human health in a changing climate

    Agustin Estrada-Peña, José M. Venzal
    157-168
    01-05-2007
    https://doi.org/10.4081/gh.2007.264
    1979
    PDF: 1038
  • Using the location-allocation P-median model for optimising locations for health care centres in the city of Jeddah City, Saudi Arabia

    Abdulkader Murad, Fazlay Faruque , Ammar Naji, Alok Tiwari
    19-10-2021
    https://doi.org/10.4081/gh.2021.1002
    2258
    PDF: 1120
    HTML: 820
  • 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
    2977
    PDF: 1310
    HTML: 1426
  • Analysis of the relationship between life expectancy and social determinants in a north-eastern region of Brazil, 2010-2017

    Andrezza Marques Duque, Marcus Valerius Peixoto, Shirley V.M.A Lima, Marco Aurélio O. Goes, Allan D. Santos, Karina Conceição Gomes Machado Araújo, Marco Antonio P. Nunes
    12-11-2018
    https://doi.org/10.4081/gh.2018.702
    26226
    PDF: 1256
    HTML: 178
  • 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
    2568
    PDF: 1055
    HTML: 1096
  • Global climate change - a feasibility perspective of its effect on human health at a local scale

    Michele Bernardi
    137-150
    01-05-2008
    https://doi.org/10.4081/gh.2008.238
    1629
    PDF: 910
  • Bayesian risk maps for Schistosoma mansoni and hookworm mono-infections in a setting where both parasites co-exist

    Giovanna Raso, Penelope Vounatsou, Donald P. McManus, Jürg Utzinger
    85-96
    01-11-2007
    https://doi.org/10.4081/gh.2007.257
    2333
    PDF: 802
  • 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
    2153
    PDF: 951
    HTML: 151
  • COVID-19: Past, present and future

    Robert Bergquist
    09-09-2022
    https://doi.org/10.4081/gh.2022.1147
    797
    PDF: 418
    HTML: 101
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Geospatial Health
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Vol. 20 No. 1 (2025)
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Typhoid fever in Jakarta, Indonesia 2017-2023: spatial clustering and seasonality of hospitalization data to inform better intervention
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Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring
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Geospatial Health

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