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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

2358

PDF: 1232

HTML: 90
Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases

Sarah Isnan, Ahmad Fikri bin Abdullah, Abdul Rashid Shariff, Iskandar Ishak, Sharifah Norkhadijah Syed Ismail, Maheshwara Rao Appanan

07-04-2025

https://doi.org/10.4081/gh.2025.1277

2722

PDF: 968

Supplementary materials: 241

HTML: 122
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

2021

PDF: 1020

SUPPLEMENTARY: 444

HTML: 147
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

1410

PDF: 696

HTML: 64
Trends in obesity at the national and local level among South Korean adolescents

Kyungsoo Han, Sejin Park, Jürgen Symanzik, Sookhee Choi, Jeongyong Ahn

31-05-2016

https://doi.org/10.4081/gh.2016.381

2961

PDF: 1482

HTML: 1231
A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment

Jerry Enoe , Michael Sutherland, Dexter Davis, Bheshem Ramlal, Charisse Griffith-Charles , Keston H. Bhola, Elsai Mati Asefa

28-03-2024

https://doi.org/10.4081/gh.2024.1264

3273

PDF: 1010

HTML: 127
Understanding the spatial non-stationarity in the relationships between malaria incidence and environmental risk factors using Geographically Weighted Random Forest: A case study in Rwanda

Gilbert Nduwayezu, Pengxiang Zhao, Clarisse Kagoyire, Lina Eklund, Jean Pierre Bizimana, Petter Pilesjo, Ali Mansourian

25-05-2023

https://doi.org/10.4081/gh.2023.1184

3581

PDF: 1875

HTML: 224
Projecting malaria hazard from climate change in eastern Africa using large ensembles to estimate uncertainty

Joseph Leedale, Adrian M. Tompkins, Cyril Caminade, Anne E. Jones, Grigory Nikulin, Andrew P. Morse

31-03-2016

https://doi.org/10.4081/gh.2016.393

4841

PDF: 1998

HTML: 2564
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

1882

PDF: 611

HTML: 77
Risk areas for hepatitis A, B and C in the municipality of MaringÃ¡, ParanÃ¡ State, Brazil 2007-2010

Valéria Miranda Avanzi, Udelysses Janete Veltrini Fonzar, Eraldo Schunk Silva, Jorge Juarez Vieira Teixeira, Dennis Armando Bertolini

08-05-2018

https://doi.org/10.4081/gh.2018.607

2092

PDF: 882

HTML: 154
The influence of socioeconomic deprivation, access to healthcare and physical environment on old-age survival in Portugal

Ana Isabel Ribeiro, Elias Teixeira Krainski, Marilia Sá Carvalho, Maria de Fátima de Pina

07-11-2017

https://doi.org/10.4081/gh.2017.581

3854

PDF: 1491

HTML: 881
Spatio-temporal analysis of pneumonia and influenza hospitalizations in Ontario, Canada

Eric J. Crighton, Susan J. Elliott, Pavlos Kanaroglou, Rahim Moineddin, Ross E.G. Upshur

191-202

01-05-2008

https://doi.org/10.4081/gh.2008.243

2669

PDF: 1203
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

2418

PDF: 1219

HTML: 77
Mapping healthcare resources and regional mortality in Europe: a spatial study of current service coverage

Alicja Olejnik, Agata Żółtaszek

04-12-2025

https://doi.org/10.4081/gh.2025.1425

467

PDF: 313

Supplementary materials: 64

HTML: 55
Spatial prediction of the risk of exposure to Echinococcus spp. among schoolchildren and dogs in Ningxia Hui Autonomous Region, People's Republic of China

Angela M. Cadavid Restrepo, Yu Rong Yang, Donald P. McManus, Darren J. Gray, Tamsin S. Barnes, Gail M. Williams, Ricardo J. Soares Magalhães, Archie C.A. Clements

07-05-2018

https://doi.org/10.4081/gh.2018.644

2402

PDF: 1032

HTML: 103
Spatial multilevel modelling male partners’ influence on women’s modern contraceptive use: a study in Angola and Zambia

Kabeya Clement Mulamba

12-05-2025

https://doi.org/10.4081/gh.2025.1340

1577

PDF: 351

HTML: 61
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

6033

PDF: 2325

HTML: 1163
Climate impact on malaria in northern Burkina Faso

Yves M. Tourre, Cécile Vignolles, Christian Viel, Flore Mounier

27-11-2017

https://doi.org/10.4081/gh.2017.600

2969

PDF: 1028

HTML: 754
Spatial analysis of congenital heart disease in São Paulo State, Brazil 2012-2022: associations with air pollution, maternal factors and social vulnerability

Amarílis Bahia Bezerra, Ligia Vizeu Barrozo, Alfredo Pereira de Queiroz

18-09-2025

https://doi.org/10.4081/gh.2025.1407

948

PDF: 574

HTML: 28
Application of decision tree for prediction of cutaneous leishmaniasis incidence based on environmental and topographic factors in Isfahan Province, Iran

Roghieh Ramezankhani, Nooshin Sajjadi, Roya Nezakati Esmaeilzadeh, Seyed Ali Jozi, Mohammad Reza Shirzadi

08-05-2018

https://doi.org/10.4081/gh.2018.664

1899

PDF: 1077

HTML: 178
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

2008

PDF: 1055

HTML: 73
Estimating malaria burden in Nigeria: a geostatistical modelling approach

Nnadozie Onyiri

04-11-2015

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

7958

PDF: 3333

HTML: 3291
Predicting the spatial distribution of Biomphalaria straminea, a potential intermediate host for Schistosoma mansoni, in China

Mohamed R. Habib, Yun-Hai Guo, Shan Lv, Wen-Biao Gu, Xiao-Heng Li, Xiao-Nong Zhou

29-11-2016

https://doi.org/10.4081/gh.2016.453

4178

PDF: 1636

HTML: 1151
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

2300

PDF: 641

HTML: 75
Investigation of landscape risk factors for the recent spread of varroa mite (Varroa destructor) in European honeybee (Apis mellifera) colonies in New South Wales, Australia

Emily Phaboutdy, Michael Ward

04-07-2024

https://doi.org/10.4081/gh.2024.1282

2648

PDF: 871

HTML: 43
Spatial clusters of human and livestock anthrax define high-risk areas requiring intervention in Lao Cai Province, Vietnam 1991-2022

Tan Luong, Minh Hieu Tran, Ba Uyen Pham, Morgan C. Metrailer, Van Khang Pham, Hoai Linh Nguyen, Thanh Long Pham, Thi Mai Hung Tran, Quang Thai Pham, Thi Thu Ha Hoang, Jason K. Blackburn

15-04-2024

https://doi.org/10.4081/gh.2024.1253

2554

PDF: 1054

Supplementary Materials: 201

HTML: 68
Meteorological, environmental remote sensing and neural network analysis of the epidemiology of malaria transmission in Thailand

Richard Kiang, Farida Adimi, Valerii Soika, Joseph Nigro, Pratap Singhasivanon, Jeeraphat Sirichaisinthop, Somjai Leemingsawat, Chamnarn Apiwathnasorn, Sornchai Looareesuwan

71-84

01-11-2006

https://doi.org/10.4081/gh.2006.282

3597

PDF: 1899
Investigating local variation in disease rates within high-rate regions identified using smoothing

Matthew Tuson, Matthew Yap, David Whyatt

25-05-2023

https://doi.org/10.4081/gh.2023.1144

828

PDF: 530

Supplementary Materials: 150

HTML: 43
Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia

Amare Sewnet Minale, Kalkidan Alemu

07-05-2018

https://doi.org/10.4081/gh.2018.660

7552

PDF: 2660

HTML: 1266
COVID-19 vaccine prioritization based on district classification in Yogyakarta Province, Indonesia

Syifa Hanifa, Diana Puspitasari, Cahyadi Ramadhan, Karina Oriza Herastuti

14-01-2022

https://doi.org/10.4081/gh.2022.1010

2926

PDF: 855

HTML: 54
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

2605

PDF: 1568

HTML: 932
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

1932

PDF: 1024

HTML: 125
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

1364

PDF: 668

Supplementary materials: 216

HTML: 30
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

4472

PDF: 1731

HTML: 1072
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

5155

PDF: 1881

HTML: 2291

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