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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 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
    7024
    PDF: 1802
    HTML: 2104
  • Spatial scale effects in environmental risk-factor modelling for diseases

    Ram K. Raghavan, Karen M. Brenner, John A. Jr. Harrington, James J. Higgins, Kenneth R. Harkin
    169-182
    01-05-2013
    https://doi.org/10.4081/gh.2013.78
    1860
    PDF: 1107
  • 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
    3072
    PDF: 1177
  • Nigeria’s malaria prevalence in 2015: a geospatial, exploratory district-level approach

    Mina Whyte, Kennedy Mwai Wambui, Eustasius Musenge
    25-11-2024
    https://doi.org/10.4081/gh.2024.1243
    1040
    PDF: 353
    HTML: 78
  • 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
    1358
    PDF: 801
    HTML: 49
  • Analysis of the El Niño/La Niña-Southern Oscillation variability and malaria in the Estado Sucre, Venezuela

    Laura Delgado-Petrocelli, Karenia Còrdova, Alberto Camardiel, Víctor H. Aguilar, Denise Hernández, Santiago Ramos
    S51-S57
    01-09-2012
    https://doi.org/10.4081/gh.2012.122
    2484
    PDF: 968
  • Public domain small-area cancer incidence data for New York State, 2005-2009

    Francis P. Boscoe, Thomas O. Talbot, Martin Kulldorff
    18-04-2016
    https://doi.org/10.4081/gh.2016.304
    1948
    PDF: 1095
    HTML: 858
  • Methodological framework for assessing malaria risk associated with climate change in Côte d’Ivoire

    Yao Etienne Kouakou, Iba Dieudonné Dely, Madina Doumbia, Aziza Ouattara, Effah Jemima N’da, Koffi Evrard Brou, Yao Anicet Zouzou, Guéladio Cissé, Brama Koné
    28-08-2024
    https://doi.org/10.4081/gh.2024.1285
    1255
    PDF: 554
    HTML: 94
  • The spatial distribution of interleukin-4 (IL-4) reference values in China based on a back propagation (BP) neural network

    Zhao Rong Huang, Miao Ge, Xin Rui Pang, Pu Song, Congxia Wang
    13-09-2023
    https://doi.org/10.4081/gh.2023.1197
    1050
    PDF: 431
    HTML: 14
  • Spatial distribution and identifying biochemical factors affecting haemoglobin levels among women of reproductive age for each province in Indonesia: A geospatial analysis

    Muhammad Nur Aidi, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Anwar Fitrianto, Khalilah Nurfadilah, Aya Yuriestia Arifin
    30-11-2022
    https://doi.org/10.4081/gh.2022.1118
    1841
    PDF: 853
    HTML: 56
  • 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
    1788
    PDF: 884
    Supplementary Materials: 125
    HTML: 40
  • Cluster analysis of fasciolosis in dairy cow herds in Munster province of Ireland and detection of major climatic and environmental predictors of the exposure risk

    Nikolaos Selemetas, Paul Phelan, Padraig O'Kiely, Theo de Waal
    271-279
    19-03-2015
    https://doi.org/10.4081/gh.2015.349
    2563
    PDF: 1220
  • Preferential sampling in veterinary parasitological surveillance

    Lorenzo Cecconi, Annibale Biggeri, Laura Grisotto, Veronica Berrocal, Laura Rinaldi, Vincenzo Musella, Giuseppe Cringoli, Dolores Catelan
    18-04-2016
    https://doi.org/10.4081/gh.2016.412
    1978
    PDF: 1474
    APPENDIX: 545
    HTML: 1032
  • 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
    5411
    PDF: 2481
  • The geo-spatial perspective of biological, social and environmental determinants of early pregnancy anaemia in rural Sri Lanka: Need for context-specific approaches on prevention

    Gayani Shashikala Amarasinghe, Thilini Chanchala Agampodi, Vasana Mendis, Suneth Buddhika Agampodi
    29-11-2022
    https://doi.org/10.4081/gh.2022.1110
    1237
    PDF: 742
    HTML: 29
  • 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
    855
    PDF: 619
    HTML: 20
  • 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
    1191
    PDF: 689
    Supplementary Materials: 95
    HTML: 23
  • Spatiotemporal transmission and socio-climatic factors related to paediatric tuberculosis in north-western Ethiopia

    Kefyalew Addis Alene, Kerri Viney, Emma S. McBryde, Archie C.A. Clements
    27-11-2017
    https://doi.org/10.4081/gh.2017.575
    3388
    PDF: 1148
    APPENDIX: 374
    HTML: 839
  • 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
    3156
    PDF: 1212
    HTML: 850
  • Detection of spatial aggregation of cases of cancer from data on patients and health centres contained in the Minimum Basic Data Set

    Pablo Fernández-Navarro, Jose-Miguel Sanz-Anquela, Angel Sánchez Pinilla, Rosario Arenas Mayorga, Carmen Salido-Campos, Gonzalo Lòpez-Abente
    07-05-2018
    https://doi.org/10.4081/gh.2018.616
    1596
    PDF: 811
    SUPPLEMENTARY: 352
    HTML: 132
  • 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
    715
    PDF: 649
    HTML: 9
  • Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data

    Sue C. Grady, April N. Frake, Qiong Zhang, Matlhogonolo Bene, Demetrice R. Jordan, Joshua Vertalka, Thania C. Dossantos, Ameen Kadhim, Judith Namanya, Lisa-Marie Pierre, Yi Fan, Peiling Zhou, Fatoumata B. Barry, Libbey Kutch
    26-05-2017
    https://doi.org/10.4081/gh.2017.501
    8826
    PDF: 4151
    HTML: 2173
  • 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
    856
    PDF: 268
    Supplementary Materials: 127
    HTML: 70
  • 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
    3107
    PDF: 1525
  • 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
    1955
    PDF: 1253
    HTML: 952
  • Spatial epidemiology of cancer: a review of data sources, methods and risk factors

    Rita Roquette, Marco Painho, Baltazar Nunes
    08-05-2017
    https://doi.org/10.4081/gh.2017.504
    7619
    PDF: 3136
    HTML: 2650
  • 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
    7831
    PDF: 1351
    HTML: 846
  • Spatial association between socio-economic health service factors and sepsis mortality in Thailand

    Juree Sansuk, Wongsa Laohasiriwong, Kittipong Sornlorm
    13-09-2023
    https://doi.org/10.4081/gh.2023.1215
    1331
    PDF: 517
    HTML: 31
  • 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
    2009
    PDF: 285
    HTML: 34
  • Socio-environmental variables and transmission risk of lymphatic filariasis in central and northern Mozambique

    Isabel Manhenje, M. Teresa Galán-Puchades, Márius V. Fuentes
    391-398
    01-05-2013
    https://doi.org/10.4081/gh.2013.96
    2599
    PDF: 1214
  • A two-stage location model covering COVID-19 sampling, transport and DNA diagnosis: design of a national scheme for infection control

    Wang Fei, Lv Jiamin, Wang Chunting, Li Yuling, Xi Yuetuing
    26-09-2024
    https://doi.org/10.4081/gh.2024.1281
    940
    PDF: 331
    HTML: 75
  • 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
    1110
    PDF: 355
    HTML: 45
  • 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
    2251
    PDF: 1203
    HTML: 205
  • 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
    2674
    PDF: 1371
  • Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis

    Xiao Li, Amanda Staudt, Lung-Chang Chien
    21-11-2016
    https://doi.org/10.4081/gh.2016.439
    2495
    PDF: 1177
    APPENDIX: 402
    HTML: 1128
  • 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
    4942
    PDF: 1949
    HTML: 1138
  • 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
    2961
    PDF: 883
    HTML: 890
  • Bivariate spatiotemporal disease mapping of cancer of the breast and cervix uteri among Iranian women

    Mehdi Raei, Volker Johann Schmid, Behzad Mahaki
    08-05-2018
    https://doi.org/10.4081/gh.2018.645
    2314
    PDF: 1046
    HTML: 129
  • 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
    2741
    PDF: 827
    HTML: 813
  • To what extent does climate explain variations in reported malaria cases in early 20th century Uganda?

    Adrian M. Tompkins, Laragh Larsen, Nicky McCreesh, David Taylor
    31-03-2016
    https://doi.org/10.4081/gh.2016.407
    3873
    PDF: 1138
    Appendix: 488
    HTML: 1211
  • Geocoding precision of birth records from 2008 to 2017 in Kentucky, USA

    Courtney J. Walker, Steven R. Browning, Jeffrey E. Levy, W. Jay Christian
    06-05-2022
    https://doi.org/10.4081/gh.2022.1020
    1242
    PDF: 557
    HTML: 12
  • Does mobility restriction significantly control infectious disease transmission? Accounting for non-stationarity in the impact of COVID-19 based on Bayesian spatially varying coefficient models

    I Gede Nyoman Mindra Jaya, Anna Chadidjah, Farah Kristiani, Gumgum Darmawan, Jane Christine Princidy
    25-05-2023
    https://doi.org/10.4081/gh.2023.1161
    1121
    PDF: 440
    HTML: 10
  • Spatial associations between chronic kidney disease and socio-economic factors in Thailand

    Juree Sansuk, Kittipong Sornlorm
    30-01-2024
    https://doi.org/10.4081/gh.2024.1246
    6009
    PDF: 806
    HTML: 926
  • The influence of urban heat islands and socioeconomic factors on the spatial distribution of Aedes aegypti larval habitats

    Thiago S. de Azevedo, Brian Patrick Bourke, Rafael Piovezan, Maria Anice M. Sallum
    08-05-2018
    https://doi.org/10.4081/gh.2018.623
    2701
    PDF: 1240
    HTML: 498
  • Spatial analysis and risk mapping of Fasciola hepatica infection in dairy herds in Ireland

    Nikolaos Selemetas, Els Ducheyne, Paul Phelan, Padraig O'Kiely, Guy Hendrickx, Theo de Waal
    281-291
    19-03-2015
    https://doi.org/10.4081/gh.2015.350
    3997
    PDF: 1804
  • 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
    2711
    PDF: 1325
    APPENDIX: 392
    HTML: 234
  • 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
    3388
    PDF: 1293
    HTML: 1161
  • Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia

    Muhammad Aidil Roslan, Romano Ngui, Muhammad Fathi Marzuki, Indra Vythilingam, Aziz Shafie, Sabri Musa, Wan Yusoff Wan Sulaiman
    11-05-2022
    https://doi.org/10.4081/gh.2022.1025
    1500
    PDF: 646
    Annex I-VI: 117
    HTML: 58
  • Improving AfriPop dataset with settlement extents extracted from RapidEye for the border region comprising South-Africa, Swaziland and Mozambique

    Julie Deleu, Jonas Franke, Michael Gebreslasie, Catherine Linard
    04-11-2015
    https://doi.org/10.4081/gh.2015.336
    2413
    PDF: 1040
    HTML: 1099
  • 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
    2495
    PDF: 909
    HTML: 915
  • 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
    2134
    PDF: 1197
  • 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
    2874
    PDF: 1518
    HTML: 4648
  • 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
    1583
    PDF: 922
  • Spatial pattern and heterogeneity of chronic respiratory diseases and relationship to socio-demographic factors in Thailand in the period 2016 to 2019

    Zar Chi Htwe, Wongsa Laohasiriwong, Kittipong Sornlorm, Roshan Mahato
    25-05-2023
    https://doi.org/10.4081/gh.2023.1203
    736
    PDF: 489
    HTML: 8
  • Landscape attributes driving avian influenza virus circulation in the Lake Alaotra region of Madagascar

    Laure Guerrini, Mathilde C. Paul, Lucas Leger, Harentsoaniaina R. Andriamanivo, Olivier F. Maminiaina, Marion Jourdan, Sophie Molia, René Rakotondravao, Véronique Chevalier
    445-453
    01-05-2014
    https://doi.org/10.4081/gh.2014.33
    2440
    PDF: 1032
  • 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
    3529
    PDF: 1876
  • Environmental determinants of the distribution of Chagas disease vectors in south-eastern Guatemala

    Dulce Maria Bustamante, Maria Carlota Monroy, Antonieta Guadalupe Rodas, Jaime Abraham Juarez, John B. Malone
    199-211
    01-05-2007
    https://doi.org/10.4081/gh.2007.268
    3052
    PDF: 947
  • Mapping environmental susceptibility to Saint Louis encephalitis virus, based on a decision tree model of remotelysensed data

    Camilo H. Rotela, Lorena I. Spinsanti, Mario A. Lamfri, Marta S. Contigiani, Walter R. Almiròn, Carlos M. Scavuzzo
    85-94
    01-11-2011
    https://doi.org/10.4081/gh.2011.160
    1232
    PDF: 759
  • 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
    1559
    PDF: 912
  • 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
    2103
    PDF: 1148
  • Temporal and spatial analyses of colorectal cancer incidence in Yogyakarta, Indonesia: a cross-sectional study

    Juan Adrian Wiranata, Herindita Puspitaningtyas, Susanna Hilda Hutajulu, Jajah Fachiroh, Nungki Anggorowati, Guardian Yoki Sanjaya, Lutfan Lazuardi, Patumrat Sripan
    25-05-2023
    https://doi.org/10.4081/gh.2023.1186
    1407
    PDF: 797
    HTML: 32
  • Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand

    Worrayot Darasawang, Wongsa Laohasiriwong, Kittipong Sornlorm , Warangkana Sungsitthisawad, Roshan Kumar Mahato
    27-01-2025
    https://doi.org/10.4081/gh.2025.1329
    2719
    PDF: 836
    Supplementary Materials: 524
    HTML: 239
  • 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
    1945
    PDF: 484
    Supplementary 1: 99
    Supplementary 2: 245
    HTML: 145
  • Point process methods in epidemiology: application to the analysis of human immunodeficiency virus/acquired immunodeficiency syndrome mortality in urban areas

    Jose Antonio Quesada, Inmaculada Melchor, Andreu Nolasco
    26-05-2017
    https://doi.org/10.4081/gh.2017.506
    1655
    PDF: 871
    HTML: 1022
  • 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
    2543
    PDF: 1161
    HTML: 211
  • 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
    2911
    PDF: 1527
    HTML: 1380
  • Spatial and spatiotemporal dynamics of visceral leishmaniasis in an endemic North-eastern region of Brazil

    Ândria Silveira Almeida, Caíque Jordan Nunes Ribeiro, Camila Caroline Carlini, Rogério Silva Santos, Allan Dantas dos Santos, Débora Santos Tavares, Karina Conceição Gomes Machado de Araújo, Tatiana Rodrigues de Moura, Priscila Lima dos Santos
    11-01-2021
    https://doi.org/10.4081/gh.2020.885
    1684
    PDF: 814
    HTML: 35
  • 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
    2115
    PDF: 1351
    HTML: 181
  • 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
    1469
    PDF: 799
    HTML: 119
  • Spatial analysis of the prevalence of schistosomiasis in an endemic coastal area in north-eastern Brazil

    Allan D. Santos, Jonhnatas Silva, Ana Caroline Lima, Márcio Santos, Shirley Lima, Monalisa Amor, Carlos Santos, Arthur Vasconcelos, Silvio Dolabella, Karina C.G.M. Araújo
    27-11-2017
    https://doi.org/10.4081/gh.2017.570
    2910
    PDF: 828
    HTML: 863
  • Spatio-temporal analysis of foot traffic dynamics in Charleston County, South Carolina: before, during, and after COVID-19

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Geospatial Health
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Vol. 20 No. 1 (2025)
Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis
Maria Camila Lesmes et al.
4 June 2025
Vol. 20 No. 1 (2025)
The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure
Nima Kianfar et al.
4 June 2025
Vol. 20 No. 1 (2025)
Typhoid fever in Jakarta, Indonesia 2017-2023: spatial clustering and seasonality of hospitalization data to inform better intervention
Mujiyanto Mujiyanto et al.
15 May 2025
Vol. 20 No. 1 (2025)
Spatial autocorrelation pattern of COVID-19 vaccine coverage in Thailand 2021 and 2022
Sarayu Muntaphan et al.
13 May 2025
Vol. 20 No. 1 (2025)
Spatial multilevel modelling male partners’ influence on women’s modern contraceptive use: a study in Angola and Zambia
Kabeya Clement Mulamba
12 May 2025
Vol. 20 No. 1 (2025)
Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring
Jihong Zhang et al.
28 April 2025

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Geospatial Health

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