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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

4852

PDF: 1349

Appendix: 577

HTML: 1234
Defining health catchment areas in Jeddah city, Saudi Arabia: an example demonstrating the utility of geographical information systems

Abdulkader A. Murad

151-160

01-05-2008

https://doi.org/10.4081/gh.2008.239

2104

PDF: 1307
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

1523

PDF: 929

HTML: 149
Geographical information systems in health research and services delivery in the Philippines

Lydia R. Leonardo, Bobby A. Crisostomo, Juan Antonio A. Solon, Pilarita T. Rivera, Alvin B. Marcelo, Jonathan M. Villasper

147-155

01-05-2007

https://doi.org/10.4081/gh.2007.263

3448

PDF: 1502
Revealed access to haemodialysis facilities in northeastern Iran: Factors that matter in rural and urban areas

Behzad Kiani, Nasser Bagheri, Ahmad Tara, Benyamin Hoseini, Hamed Tabesh, Mahmood Tara

07-11-2017

https://doi.org/10.4081/gh.2017.584

3360

PDF: 884

HTML: 666
Analysis of climate and extrinsic incubation of Dirofilaria immitis in southern South America

Pablo F. Cuervo, M. Cecilia Fantozzi, Sophia Di Cataldo, Giuseppe Cringoli, Roberto Mera y Sierra, Laura Rinaldi

175-181

01-11-2013

https://doi.org/10.4081/gh.2013.64

2859

PDF: 1302
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

3070

PDF: 1159

HTML: 711
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

6587

PDF: 1140

HTML: 1140
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

1488

PDF: 633

HTML: 31
Risk mapping and estimation of COVID-19 transmission in South Sulawesi, Indonesia by a self-identification survey

Andang Suryana Soma, Andi Alfian Zainuddin, Shanti Riskiyani, Nurhaya Nurdin, Muhammad Firdaus Kasim, Joko Hendarto, Masriadi

18-03-2022

https://doi.org/10.4081/gh.2022.1034

2255

PDF: 599

HTML: 72
Spatial and temporal dynamic analysis of rabies: A review of current methodologies

Shuaicheng Chen

30-11-2022

https://doi.org/10.4081/gh.2022.1139

3071

PDF: 2212

HTML: 436
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

3451

PDF: 1496

HTML: 856
Comparison of the spatial patterns of schistosomiasis in Zimbabwe at two points in time, spaced twenty-nine years apart: is climate variability of importance?

Ulrik B. Pedersen, Dimitrios-Alexios Karagiannis-Voules, Nicholas Midzi, Tkafira Mduluza, Samson Mukaratirwa, Rasmus Fensholt, Birgitte J. Vennervald, Thomas K. Kristensen, Penelope Vounatsou, Anna-Sofie Stensgaard

08-05-2017

https://doi.org/10.4081/gh.2017.505

3592

PDF: 1665

HTML: 1049
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

2454

PDF: 965

HTML: 128
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

6236

PDF: 1544

HTML: 983
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

4420

PDF: 1636

HTML: 1071
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

479

PDF: 266

HTML: 17
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

2419

PDF: 729

HTML: 98
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

2488

PDF: 1100

HTML: 190
Spatial analysis and modelling of depression relative to social vulnerability index across the United States

Kiara M. Rivera, Abolfazl Mollalo

01-09-2022

https://doi.org/10.4081/gh.2022.1132

5325

PDF: 2308

HTML: 598
Impact of the COVID-19 pandemic on the number of births in Pernambuco Brazil

Heitor Victor Veiga da Costa, Cristine Vieira do Bonfim, Wilson Fusco, Morvan de Melo Moreira, Fernando Maciano de Paula Neto

15-06-2022

https://doi.org/10.4081/gh.2022.1069

1332

PDF: 614

HTML: 59
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

2862

PDF: 1347

APPENDIX: 493

HTML: 1162
Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK

Jishuo Zhang, Meifang Li

29-11-2022

https://doi.org/10.4081/gh.2022.1123

1288

PDF: 1006

HTML: 96
Post-traumatic stress in people from the interior drylands of the Maule region, Chile in the context of climate change

Cristian Cáceres, Marcelo Leiva-Bianchi, Yony Ormazábal, Carlos Mena, Juan Carlos Cantillana

18-05-2022

https://doi.org/10.4081/gh.2022.1045

2317

PDF: 1137

HTML: 76
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

2199

PDF: 930

HTML: 43
Future malaria spatial pattern based on the potential global warming impact in South and Southeast Asia

Hassan M. Khormi, Lalit Kumar

21-11-2016

https://doi.org/10.4081/gh.2016.416

5574

PDF: 2681

HTML: 2000
Spatial access disparities to primary health care in rural and remote Australia

Matthew Richard McGrail, John Stirling Humphreys

04-11-2015

https://doi.org/10.4081/gh.2015.358

23880

PDF: 9890

HTML: 2350
Spatial autocorrelation pattern of COVID-19 vaccine coverage in Thailand 2021 and 2022

Sarayu Muntaphan, Kittipong Sornlorm

13-05-2025

https://doi.org/10.4081/gh.2025.1368

1614

PDF: 384

HTML: 72
Comparing conditional autoregressive models for Bayesian spatial mapping of dengue cases in Indonesia

Ferra Yanuar, Yudiantri Asdi, Aidinil Zetra, Sofiana Wudlu, Fenni Kurnia Mutiya, Rahmawita Rahmawita

18-06-2026

https://doi.org/10.4081/gh.2026.1443

183

PDF: 276

HTML: 2
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

3315

PDF: 1348

Supplementary Materials: 207

HTML: 135
Estimating malaria burden in Nigeria: a geostatistical modelling approach

Nnadozie Onyiri

04-11-2015

https://doi.org/10.4081/gh.2015.306

7901

PDF: 3260

HTML: 3289
Evaluation of household knowledge, attitudes and practices concerning malaria in the city of Djibouti

Osman Abdillahi Guedi, Yao Télesphore Brou, Eric Delmelle, Sébastien Briolant

16-06-2026

https://doi.org/10.4081/gh.2026.1451

415

PDF: 139

Supplementary materials: 34

HTML: 1
Prehistoric human migrations: a prospective subject for modelling using geographical information systems

Robert Bergquist

25-05-2023

https://doi.org/10.4081/gh.2023.1210

1599

PDF: 575

HTML: 70
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

3917

PDF: 1243

HTML: 48
Spatio-temporal and stochastic modelling of severe acute respiratory syndrome

Poh-Chin Lai, Kim-Hung Kwong, Ho-Ting Wong

183-192

01-11-2013

https://doi.org/10.4081/gh.2013.65

1894

PDF: 1387
Examination of multidimensional geographic mobility and sexual behaviour among Black cisgender sexually minoritized men in Chicago

Aleya Khalifa, Byoungjun Kim, Seann Regan, Tyrone Moline, Basile Chaix, Yen-Tyng Chen, John Schneider, Dustin T. Duncan

16-05-2024

https://doi.org/10.4081/gh.2024.1273

1839

PDF: 903

HTML: 71
Spatial and spatio-temporal clusters of lung cancer incidence by stage of disease in Michigan, United States 1985-2018

Qiong Zhang, Shangrui Zhu, Sue C. Grady, Anqi Wang, Hollis Hutchings, Jessica Cox, Andrew Popoff, Ikenna Okereke

14-02-2024

https://doi.org/10.4081/gh.2024.1219

6717

PDF: 1153

Supplementary Materials: 161

HTML: 94
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

1198

PDF: 615

HTML: 46
Spatial variability of mother-to-child human immunodeficiency virus transmission in a province in the Brazilian Rainforest: An ecological study

Marcus Matheus Quadros Santos, Bianca Alessandra Gomes do Carmo, Taymara Barbosa Rodrigues, Bruna Rafaela Leite Dias, Cleyton Abreu Martins, Glenda Roberta Oliveira Naiff Ferreira, Andressa Tavares Parente, Cíntia Yollete Urbano Pauxis Aben-Atha, Sandra Helena Isse Polaro, Eliã Pinheiro Botelho

29-11-2022

https://doi.org/10.4081/gh.2022.1101

1191

PDF: 984

HTML: 31
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

1774

PDF: 1025

HTML: 66
Clustering of disability caused by unintentional injury among 15- to 60-year-old: a challenge in rapidly developing countries

Yi-Lan Liao, Jin-Feng Wang, Gong Chen, Wei Du, Xin-Ming Song, Xiao Yun, Xiao-Ying Zheng

13-22

01-11-2013

https://doi.org/10.4081/gh.2013.50

2005

PDF: 1054
Modeling freshwater snail habitat suitability and areas of potential snail-borne disease transmission in Uganda

A.S. Stensgaard, A. JÃ¸rgensen, N.B. Kabatereine, C. Rahbek, T.K. Kristensen

93-104

01-11-2006

https://doi.org/10.4081/gh.2006.284

3513

PDF: 1781
Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system

Jia-Cheng Zhang, Wen-Dong Liu, Qi Liang, Jian-Li Hu, Jessie Norris, Ying Wu, Chang-Jun Bao, Fen-Yang Tang, Peng Huang, Yang Zhao, Rong-Bin Yu, Ming-Hao Zhou, Hong-Bing Shen, Feng Chen, Zhi-Hang Peng

429-435

01-05-2014

https://doi.org/10.4081/gh.2014.31

3357

PDF: 1450
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

1853

PDF: 1083
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

3243

PDF: 1430
Environmental inducers of schistosomiasis mansoni in Campinas, Brazil

Francisco Anaruma Filho, João Moreno Sant'Ana, Rozely Ferreira dos Santos, Cláudio Luiz Castagna

79-91

01-11-2010

https://doi.org/10.4081/gh.2010.189

1417

PDF: 935
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

3382

PDF: 1742
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

6661

PDF: 2154
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

2758

PDF: 939
Climate change and the potential global distribution of Aedes aegypti: spatial modelling using geographical information system and CLIMEX

Hassan M. Khormi, Lalit Kumar

405-415

01-05-2014

https://doi.org/10.4081/gh.2014.29

10718

PDF: 4954
Remote sensing and climate data as a key for understanding fasciolosis transmission in the Andes: review and update of an ongoing interdisciplinary project

Márius V. Fuentes

59-70

01-11-2006

https://doi.org/10.4081/gh.2006.281

1985

PDF: 1145
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

3660

PDF: 1432
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

1831

PDF: 1090
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

1407

PDF: 613

HTML: 27
Application of a degree-day model of West Nile virus transmission risk to the East Coast of the United States of America

Sarah K. Konrad, Scott N. Miller

15-20

01-11-2012

https://doi.org/10.4081/gh.2012.100

1541

PDF: 848
Rapid GIS-based profiling of West Nile virus transmission: defining environmental factors associated with an urbansuburban outbreak in Northeast Ohio, USA

A. Desiree LaBeaud, Ann-Marie Gorman, Joe Koonce, Christopher Kippes, John McLeod, Joe Lynch, Timothy Gallagher, Charles H. King, Anna M. Mandalakas

215-225

01-05-2008

https://doi.org/10.4081/gh.2008.245

2470

PDF: 1003
Modelling and analyzing spatial clusters of leptospirosis based on satellite-generated measurements of environmental factors in Thailand during 2013-2015

Amornrat Luenam, Nattapong Puttanapong

26-11-2020

https://doi.org/10.4081/gh.2020.856

3677

PDF: 1297

HTML: 75
Typhoid fever in Jakarta, Indonesia 2017-2023: spatial clustering and seasonality of hospitalization data to inform better intervention

Mujiyanto Mujiyanto, Basuki Rachmat, Aris Yulianto, Made Agus Nurjana, Wawan Ridwan, Endang Puji Astuti, Doni Lasut, Pandji Wibawa Dhewantara

15-05-2025

https://doi.org/10.4081/gh.2025.1372

2990

PDF: 1276

HTML: 707
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

1672

PDF: 628

HTML: 43
Virtual globes and geospatial health: the potential of new tools in the management and control of vector-borne diseases

Anna-Sofie Stensgaard, Christopher F.L. Saarnak, Jürg Utzinger, Penelope Vounatsou, Christopher Simoonga, Gabriel Mushinge, Carsten Rahbek, Flemming MÃ¸hlenberg, Thomas K. Kristensen

127-141

01-05-2009

https://doi.org/10.4081/gh.2009.216

2454

PDF: 1888
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

1863

PDF: 1080
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

3653

PDF: 1096
The physical environment and health-enhancing activity during the school commute: global positioning system, geographical information systems and accelerometry

David McMinn, Nicolas M. Oreskovic, Matt J. Aitkenhead, Derek W. Johnston, Shemane Murtagh, David A. Rowe

569-572

01-05-2014

https://doi.org/10.4081/gh.2014.46

2056

PDF: 1348
Geo-referencing livestock farms as tool for studying cystic echinococcosis epidemiology in cattle and water buffaloes from southern Italy

Giuseppe Cringoli, Laura Rinaldi, Vincenzo Musella, Vincenzo Veneziano, Maria Paola Maurelli, Francesco Di Pietro, Michele Frisiello, Salvatore Di Pietro

105-111

01-11-2007

https://doi.org/10.4081/gh.2007.259

2712

PDF: 1114
A climate distribution model of malaria transmission in Sudan

Mohammed I. Musa, Shamarina Shohaimi, Nor R. Hashim, Isthrinayagy Krishnarajah

27-36

01-11-2012

https://doi.org/10.4081/gh.2012.102

2569

PDF: 1192
Modeling spatio-temporal risk changes in the incidence of dengue fever in Saudi Arabia: a geographical information system case study

Hassan M. Khormi, Lalit Kumar, Ramze A. Elzahrany

77-84

01-11-2011

https://doi.org/10.4081/gh.2011.159

3118

PDF: 1451
Environmental and socio-economic risk modelling for Chagas disease in Bolivia

Paula Mischler, Michael Kearney, Jennifer C. McCarroll, Ronaldo G.C. Scholte, Penelope Vounatsou, John B. Malone

S59-S66

01-09-2012

https://doi.org/10.4081/gh.2012.123

4216

PDF: 1418
Geographic distribution of canine heartworm (Dirofilaria immitis) infection in stray dogs of eastern Romania

Lavinia CiucÄƒ, 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

5104

PDF: 1789

HTML: 2285
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

1337

PDF: 636

HTML: 58
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

1045

PDF: 747

HTML: 77
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. Ðšorennoy, Gulzhan N. Yessembekova, Dosym B. Ðšushubaev, Ablaikhan S. Ðšadyrov

31-05-2016

https://doi.org/10.4081/gh.2016.455

2540

PDF: 1316

HTML: 1297
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

1898

PDF: 777

HTML: 78
Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis

Isabelle Lebert, Séverine Bord, Christine Saint-Andrieux, Eva Cassar, Patrick Gasqui, Frédéric Beugnet, Karine Chalvet-Monfray, Sophie O. Vanwambeke, Gwenaël Vourc’h, Magalie René-Martellet

17-05-2022

https://doi.org/10.4081/gh.2022.1058

7402

PDF: 2613

Appendix: 407

HTML: 385
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

2900

PDF: 667

HTML: 33
The impact of geographic mobility on the spread of COVID-19 in Hong Kong

Paulina Pui Yun Wong, Chien-Tat Low, Poh-Chin Lai

14-02-2022

https://doi.org/10.4081/gh.2022.1022

3396

PDF: 626

HTML: 160
Geospatial assessment of primary healthcare centres in Jeddah, Saudi Arabia

Abdulkader A. Murad, Mohaimin Azmain

26-02-2026

https://doi.org/10.4081/gh.2026.1463

716

PDF: 350

HTML: 12
Optimizing mobile mammography deployment in Oklahoma 2024: a two-step floating catchment area approach

Janis E. Campbell, Amanda Janitz, Ayesha B. Sambo, Nubwa St. James, Stephanie F. Pharr, Mark P. Doescher

21-04-2026

https://doi.org/10.4081/gh.2026.1426

364

PDF: 230

Supplementary materials: 37

HTML: 6
Healthcare-seeking behavior and spatial variation of internal migrants with chronic diseases: a nationwide empirical study in China

Dan Li, Dawei Gao, Masaaki Yamada, Chuangbin Chen, Liuchun Xiang, Haisong Nie

28-05-2024

https://doi.org/10.4081/gh.2024.1255

3000

PDF: 817

HTML: 109
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

3382

PDF: 1525

HTML: 1484
Lung cancer associated with natural vegetation cover: spatial analysis in the state of Pará, eastern Brazil

Bruna Rafaela Leite Dias, Laura Maria Vidal Nogueira, Ivaneide Leal Ataíde Rodrigues, Bruna Puty, Maria Liracy Batista de Souza, Gracileide Maia Corrêa, Altem Nascimento Pontes

12-09-2025

https://doi.org/10.4081/gh.2025.1399

789

PDF: 309

HTML: 14
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

1918

PDF: 1025

HTML: 1067
Prioritizing the tuberculosis burden by the analytic hierarchy process for effective targeted intervention

Madhu Basavegowda, Manjunatha M. Chikkapapanna, Sahana K. Suresh, Bhuvanesh Giriya

15-06-2026

https://doi.org/10.4081/gh.2026.1454

215

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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

5883

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Japan Aerospace Exploration Agency's public-health monitoring and analysis platform: A satellite-derived environmental information system supporting epidemiological study

Kei Oyoshi, Yosei Mizukami, Ryosuke Kakuda, Yusuke Kobayashi, Hiroki Kai, Takeo Tadono

14-05-2019

https://doi.org/10.4081/gh.2019.717

2029

PDF: 1005

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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

4502

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APPENDIX 1: 470

APPENDIX 2: 501

HTML: 1652
Spatiotemporal distribution and geostatistically interpolated mapping of the melioidosis risk in an endemic zone in Thailand

Jaruwan Wongbutdee, Jutharat Jittimanee, Wacharapong Saengnill

05-07-2023

https://doi.org/10.4081/gh.2023.1189

1931

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Evaluating the utility of companion animal tick surveillance practices for monitoring spread and occurrence of human Lyme disease in West Virginia, 2014-2016

Brian Hendricks, Miguella Mark-Carew, Jamison Conley

13-11-2017

https://doi.org/10.4081/gh.2017.582

2757

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Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria

Abdullahi O. Sanni , Annelize Jonker, Olatunji O. Johnson , Ezra Gayawan , Aminu Shittu , Olubunmi G. Fasanmi , Oluwawemimo A. Adebowale , Folorunso O. Fasina

12-02-2026

https://doi.org/10.4081/gh.2026.1316

1288

PDF: 518

Supplementary Materials: 125

HTML: 19
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

3284

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Exploring the distribution of risk factors for drop-out from Ponseti treatment for clubfoot across Bangladesh using geospatial cluster analysis

Manon Pigeolet, Tarinee Kucchal, Matthew T. Hey, Marcia C. Castro, Angela Margaret Evans, Tarsicio Uribe-Leitz, Mohommad Mamun Hossen Chowhury, Sabrina Juran

25-05-2023

https://doi.org/10.4081/gh.2023.1174

1359

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Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis

Wongsa Laohasiriwong, Nattapong Puttanapong, Atthawit Singsalasang

07-05-2018

https://doi.org/10.4081/gh.2018.608

4484

PDF: 2085

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Spatial patterns of intestinal parasite infections among children and adolescents in some indigenous communities in Argentina

Carlos Matías Scavuzzo, Micaela Natalia Campero, Rosana Elizabeth Maidana, María Georgina Oberto, María Victoria Periago, Ximena Porcasi

28-05-2024

https://doi.org/10.4081/gh.2024.1279

2976

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Spatial analysis of the relationship between out-of-pocket expenditure and socioeconomic status in South Korea

Young-Gyu Kwon, Man-Kyu Choi

25-05-2023

https://doi.org/10.4081/gh.2023.1175

1610

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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

2243

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Comparison of single- and multi-scale models for the prediction of the Culicoides biting midge distribution in Germany

Renke Lühken, Jörn Martin Gethmann, Petra Kranz, Pia Steffenhagen, Christoph Staubach, Franz J. Conraths, Ellen Kiel

31-05-2016

https://doi.org/10.4081/gh.2016.405

3506

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Geospatial Health: achievements, innovations, priorities

Sherif Amer, Ellen-Wien Augustijn, Carmen Anthonj, Nils Tjaden, Justine Blanford, Marc van den Homberg, Laura Rinaldi, Thomas van Rompay, Raúl Zurita Milla

25-10-2024

https://doi.org/10.4081/gh.2024.1355

2057

PDF: 757

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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

1835

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Supplementary Materials: 160

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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

2420

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APPENDIX: 670

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On the geographic access to healthcare, beyond proximity

Songyuan Deng, Kevin Bennett

28-09-2023

https://doi.org/10.4081/gh.2023.1199

2721

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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

4047

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