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Spatial analysis of stunting determinants in 514 Indonesian districts/cities: Implications for intervention and setting of priority

Tris Eryando, Tiopan Sipahutar, Meiwita Paulina Budhiharsana, Kemal N. Siregar, Muhammad Nur Aidi, Dr. Minarto, Diah Mulyawati Utari, Martya Rahmaniati, Harimat Hendarwan

17-05-2022

https://doi.org/10.4081/gh.2022.1055

4309

PDF: 2309

HTML: 132
Space-time scan statistics of 2007-2013 dengue incidence in Cimahi city, Indonesia

Pandji Wibawa Dhewantara, Andri Ruliansyah, M. Ezza Azmi Fuadiyah, Endang Puji Astuti, Mutiara Widawati

27-11-2015

https://doi.org/10.4081/gh.2015.373

5473

PDF: 2075

HTML: 1040
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

1901

PDF: 971

HTML: 125
An investigation of geographical clusters of leptospirosis during the outbreak in Pangandaran, West Java, Indonesia

Mutiara Widawati, Pandji Wibawa Dhewantara, Raras Anasi, Tri Wahono, Rina Marina, Intan Pandu Pertiwi, Agus Ari Wibowo, Andri Ruliansyah, Muhammad Umar Riandi, Dyah Widiastuti, Endang Puji Astuti

05-10-2023

https://doi.org/10.4081/gh.2023.1221

2334

PDF: 1179

HTML: 39
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

2309

PDF: 1169

HTML: 76
Childhood stunting in Indonesia: assessing the performance of Bayesian spatial conditional autoregressive models

Aswi Aswi, Septian Rahardiantoro, Anang Kurnia, Bagus Sartono , Dian Handayani, Nurwan Nurwan, Susanna Cramb

03-10-2024

https://doi.org/10.4081/gh.2024.1321

2056

PDF: 783

HTML: 146
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

3257

PDF: 1382

HTML: 710
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

2866

PDF: 806

HTML: 54
Bayesian spatial Durbin modelling of stunting prevalence across Indonesian districts

Ferra Yanuar, Yudiantri Asdi, Sandi Sandi, Aidinil Zetra, Fenni Kurnia Mutiya, Ade Suzana Eka Putri

25-05-2026

https://doi.org/10.4081/gh.2026.1441

378

PDF: 156

HTML: 10
Spatio-temporal analysis of tuberculosis incidence in North Aceh District, Indonesia 2019-2021

Farrah Fahdhienie, Frans Yosep Sitepu

29-11-2022

https://doi.org/10.4081/gh.2022.1148

2572

PDF: 1678

HTML: 156
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

199

PDF: 293

HTML: 2
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

1348

PDF: 654

HTML: 59
A geospatial study of the coverage of catheterization laboratory facilities (cath labs) and the travel time required to reach them in East Java, Indonesia

Andrianto Andrianto, Farizal Rizky Muharram, Chaq El Chaq Zamzam Multazam, Wigaviola Socha, Doni Firman, Ahmad Chusnu Romdhoni, Senitza Anisa Salsabilla

25-05-2023

https://doi.org/10.4081/gh.2023.1164

1957

PDF: 942

HTML: 64
Clusters of malaria cases at sub-district level in endemic area in Java Island, Indonesia

Dwi Sarwani Sri Rejeki, Sri Nurlaela, Devi Octaviana, Bangun Wijayanto, Solikhah Solikhah

18-05-2022

https://doi.org/10.4081/gh.2022.1048

2334

PDF: 1639

HTML: 151
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

2122

PDF: 1180

HTML: 68
Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019–2021

Farrah Fahdhienie, Frans Yosep Sitepu, Elpiani Br Depari

03-09-2024

https://doi.org/10.4081/gh.2024.1318

1971

PDF: 895

HTML: 113
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

1036

PDF: 452

HTML: 44
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

4606

PDF: 786

HTML: 117
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

1493

PDF: 649

HTML: 35
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

1681

PDF: 642

HTML: 43
Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches

Farah Kristiani, I Gede Nyoman Mindra Jaya, Robyn Irawan, Inanta Maria Priscilia

02-02-2026

https://doi.org/10.4081/gh.2026.1461

729

PDF: 431

Supplementary materials: 66

HTML: 17
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

2263

PDF: 614

HTML: 72
Application of geospatial information systems (GIS) for assessment of the distribution of periodontal disease in Makassar City, South Sulawesi Province, Indonesia

Fuad Husain Akbar, Nur Amaliyah Riyadh

07-11-2023

https://doi.org/10.4081/gh.2023.1240

1853

PDF: 817

HTML: 27
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

5589

PDF: 2704

HTML: 2000
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

3682

PDF: 1608

Appendix: 187

HTML: 100
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

2370

PDF: 1345

APPENDIX: 345

HTML: 44
Predominance and geo-mapping of avian influenza H5N1 in poultry sectors in Egypt

Abdelsatar Arafa, Ihab El-Masry, Shereen Khoulosy, Mohammed K. Hassan, Moussa Soliman, Olubunmi G. Fasanmi, Folorunso O. Fasina, Gwenaelle Dauphin, Juan Lubroth, Yilma M. Jobre

28-11-2016

https://doi.org/10.4081/gh.2016.492

3045

PDF: 1266

APPENDIX: 522

HTML: 1531
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

2875

PDF: 981

Supplementary Materials: 389

HTML: 140
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

2615

PDF: 921

Supplementary materials: 228

HTML: 118
A post-pandemic analysis of air pollution over small-sized urban areas in southern Thailand following the COVID-19 lockdown

Dimitris Stratoulias, Beomgeun Jang, Narissara Nuthammachot

07-07-2025

https://doi.org/10.4081/gh.2025.1354

1119

PDF: 487

Supplementary Materials: 118

HTML: 62
Spatial and socioeconomic inequalities in the availability of community health centres in the Jakarta region, Indonesia

Fikriyah Winata, Sara L. McLafferty

19-10-2021

https://doi.org/10.4081/gh.2021.982

2131

PDF: 1089

HTML: 468
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

4176

PDF: 1726

HTML: 124
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

3705

PDF: 1311

HTML: 75
Nonlinear analysis of factors influencing public health in China based on machine learning

Dehong Sun, Hui Wang

16-03-2026

https://doi.org/10.4081/gh.2026.1450

359

PDF: 243

HTML: 11
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

739

PDF: 375

HTML: 12
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

1215

PDF: 636

HTML: 46
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

3999

PDF: 1329

APPENDIX: 469

HTML: 869
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

241

PDF: 120

HTML: 1
Leptospirosis and its spatial and temporal relations with natural disasters in six municipalities of Santa Catarina, Brazil, from 2000 to 2016

Ana Elisa Pereira Silva, Francisco Chiaravalloti Neto, Gleice Margarete de Souza Conceição

26-11-2020

https://doi.org/10.4081/gh.2020.903

2979

PDF: 1215

HTML: 74
Factors associated with the spatial distribution of leprosy: a systematic review of the published literature

Nathan Guilherme de Oliveira, Bruna Eduarda Bortolomai, Andréa Cristina Bogado, Ida Maria Foschiani Dias-Baptista

18-09-2025

https://doi.org/10.4081/gh.2025.1394

1093

PDF: 488

Supplementary materials: 95

HTML: 20
Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance

Amanda G. Carvalho, Carolina Lorraine H. Dias, David J. Blok, Eliane Ignotti, João Gabriel G. Luz

06-10-2023

https://doi.org/10.4081/gh.2023.1227

1640

PDF: 758

Supplementary Materials: 138

HTML: 24
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

2221

PDF: 1091

HTML: 56
Spatial clustering of colorectal cancer in Malaysia

Sharifah Saffinas Syed Soffian, Azmawati Mohammed Nawi, Rozita Hod, Khairul Nizam Abdul Maulud, Ahmad Tarmizi Mohd Azmi, Mohd Hazrin Hasim Hashim, Huan-Keat Chan, Muhammad Radzi Abu Hassan

25-05-2023

https://doi.org/10.4081/gh.2023.1158

1872

PDF: 865

HTML: 24
Space-time clustering characteristics of dengue based on ecological, socio-economic and demographic factors in northern Sri Lanka

Sumiko Anno, Keiji Imaoka, Takeo Tadono, Tamotsu Igarashi, Subramaniam Sivaganesh, Selvam Kannathasan, Vaithehi Kumaran, Sinnathamby Noble Surendran

26-11-2015

https://doi.org/10.4081/gh.2015.376

3978

PDF: 2292

HTML: 1273
Access to the COVID-19 services during the pandemic - a scoping review

Ahmad Raeesi, Behzad Kiani, Azam Hesami, Ladan Goshayeshi, Neda Firouraghi, Shahab MohammadEbrahimi, Soheil Hashtarkhani

28-03-2022

https://doi.org/10.4081/gh.2022.1079

2630

PDF: 868

Appendix: 340

HTML: 128
Associating socio-economic factors with access to public healthcare facilities using geographically weighted regression in the city of Tshwane, South Africa

Thabiso Moeti, Tholang Mokhele, Solomon Tesfamichael

20-11-2024

https://doi.org/10.4081/gh.2024.1288

4072

PDF: 769

HTML: 101
Association of city-level walkability, accessibility to biking and public transportation and socio-economic features with COVID-19 infection in Massachusetts, USA: An ecological study

Yucheng Wang, Thomas C. Tsai, Dustin T. Duncan, John Ji

14-01-2022

https://doi.org/10.4081/gh.2022.1017

5895

PDF: 1168

Appendix: 469

HTML: 57
MALAREO: a user-driven project

Michael T. Gebreslasie, Ides Bauwens

04-11-2015

https://doi.org/10.4081/gh.2015.329

2948

PDF: 1327

HTML: 1016
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

1267

PDF: 445

Supplementary Materials: 287

HTML: 79
Where to place emergency ambulance vehicles: use of a capacitated maximum covering location model with real call data

Soheil Hashtarkhani, Stephen A. Matthews, Ping Yin, Alireza Mohammadi, Shahab Mohammad Ebrahimi, Mahmood Tara, Behzad Kiani

20-07-2023

https://doi.org/10.4081/gh.2023.1198

3713

PDF: 1249

Supplementary Materials: 958

HTML: 190
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

494

PDF: 290

HTML: 17
A geographical information system model to define COVID-19 problem areas with an analysis in the socio-economic context at the regional scale in the North of Spain

Olga De Cos, Valentín Castillo-Salcines, David Cantarero-Prieto

18-03-2022

https://doi.org/10.4081/gh.2022.1067

1937

PDF: 667

HTML: 49
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

2443

PDF: 1379

HTML: 341
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

3086

PDF: 2255

HTML: 451
Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis

Maria Camila Lesmes , Alvaro Ávila-Díaz, Erika Santamaría, Carlos Andrés Morales , Horacio Cadena, Patricia Fuya, Nicolas Frutos, Ximena Porcasi, Catalina Marceló-Díaz

04-06-2025

https://doi.org/10.4081/gh.2025.1292

1999

PDF: 525

HTML: 63
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

3460

PDF: 1788

HTML: 218

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