Vol. 18 No. 2 (2023)

From Snow’s map of cholera transmission to dynamic catchment boundary delineation: current front lines in spatial analysis

Behzad Kiani, Colleen Lau, Robert Bergquist

DOI https://doi.org/10.4081/gh.2023.1247

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Spatial comparison of London’s three waves of Spanish flu

Walter Peterson

DOI https://doi.org/10.4081/gh.2023.1235

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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

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

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Optimizing allocation of colorectal cancer screening hospitals in Shanghai: a geospatial analysis

Jiaqi Huang, Yichen Chen, Gu Liu, Wei Tu, Robert Bergquist, Michael P. Ward, Jun Zhang, Shuang Xiao, Jie Hong, Zheng Zhao, Xiaopan Li, Zhijie Zhang

DOI https://doi.org/10.4081/gh.2023.1152

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On the geographic access to healthcare, beyond proximity

Songyuan Deng, Kevin Bennett

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

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Assessment of the supply/demand balance of medical resources in Beijing from the perspective of hierarchical diagnosis and treatment

Yuehan Jiang, Xinyu Cai, Yanhui Wang, Junwu Dong, Mengqin Yang

DOI https://doi.org/10.4081/gh.2023.1228

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Identification and analysis of spatial access disparities related to primary healthcare in Batna City, Algeria

Ahmed Akakba, Belkacem Lahmar

DOI https://doi.org/10.4081/gh.2023.1238

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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

DOI https://doi.org/10.4081/gh.2023.1202

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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

DOI https://doi.org/10.4081/gh.2023.1236

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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

DOI https://doi.org/10.4081/gh.2023.1205

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Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats

Yuanhua Liu, Jun Zhang, Michael P. Ward, Wei Tu, Lili Yu, Jin Shi, Yi Hu, Fenghua Gao, Zhiguo Cao, Zhijie Zhang

DOI https://doi.org/10.4081/gh.2023.1151

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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

DOI https://doi.org/10.4081/gh.2023.1197

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Spatial association and modelling of under-5 mortality in Thailand, 2020

Suparerk Suerungruang, Kittipong Sornlorm, Wongsa Laohasiriwong, Roshan Kumar Mahato

DOI https://doi.org/10.4081/gh.2023.1220

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Spatial association between socio-economic health service factors and sepsis mortality in Thailand

Juree Sansuk, Wongsa Laohasiriwong, Kittipong Sornlorm

DOI https://doi.org/10.4081/gh.2023.1215

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Space-time cluster analysis of anemia in pregnant women in the province of Khyber Pakhtunkhwa, Pakistan (2014-2020)

Sami Ullah, SM Aqil Burney, Tariq Rasheed, Shamaila Burney, Mushtaq Ahmad Khan Barakzia

DOI https://doi.org/10.4081/gh.2023.1192

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A geospatial analysis of cardiometabolic diseases and their risk factors considering environmental features in a midsized city in Argentina

Micaela Natalia Campero, Carlos Matías Scavuzzo, Veronica Andreo, María Sol Mileo, Micaela Belén Franzois, María Georgina Oberto, Carla Gonzalez Rodriguez, María Daniela Defagó

DOI https://doi.org/10.4081/gh.2023.1212

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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

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

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

Jaruwan Wongbutdee, Jutharat Jittimanee, Wacharapong Saengnill

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

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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

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

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Spatial heterogeneity in relationship between district patterns of HIV incidence and covariates in Zimbabwe: a multi-scale geographically weighted regression analysis

Rutendo Birri Makota, Eustasius Musenge

DOI https://doi.org/10.4081/gh.2023.1207

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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

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

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The impact of COVID-19 on healthcare coverage and access in racial and ethnic minority populations in the United States

Lauren Freelander, David S. Rickless, Corey Anderson, Frank Curriero, Sarah Rockhill, Amir Mirsajedin, Caleb J. Colón, Jasmine Lusane, Alexander Vigo-Valentín, David Wong

DOI https://doi.org/10.4081/gh.2023.1222

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Geospatial analysis in the United States reveals the changing roles of temperature on COVID-19 transmission

Ruiwen Xiong, Xiaolong Li

DOI https://doi.org/10.4081/gh.2023.1213

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Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study

João Batista Cavalcante Filho, Marco Aurélio de Oliveira Góes, Damião da Conceição Araújo, Marcus Valerius da Silva Peixoto, Marco Antônio Prado Nunes

DOI https://doi.org/10.4081/gh.2023.1206

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Correction. Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach.

The Publisher

DOI https://doi.org/10.4081/gh.2023.1232

Correction. Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)

The Publisher

DOI https://doi.org/10.4081/gh.2023.1233