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  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

  2300

  PDF: 698

  HTML: 94
• 

  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

  4289

  PDF: 2037

  HTML: 581

• 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

  6442

  PDF: 1079

  HTML: 1125
• 

  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

  1688

  PDF: 667

  HTML: 47
• 

  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

  3312

  PDF: 1052

  Supplementary Materials: 575

  HTML: 254
• 

  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

  3488

  PDF: 1240

  HTML: 72
• 

  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

  1512

  PDF: 353

  HTML: 69
• 

  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

  1697

  PDF: 916

  Supplementary Materials: 143

  HTML: 75
• 

  Migration statistics relevant for malaria transmission in Senegal derived from mobile phone data and used in an agent-based migration model

  Adrian M. Tompkins, Nicky McCreesh

  31-03-2016

  https://doi.org/10.4081/gh.2016.408

  3592

  PDF: 1475

  HTML: 1002
• 

  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

  1235

  PDF: 789

  HTML: 125
• 

  Socio-economic and environmental factors are related to acute exacerbation of chronic obstructive pulmonary disease incidence in Thailand

  Phuricha Phacharathonphakul, Kittipong Sornlorm

  29-11-2024

  https://doi.org/10.4081/gh.2024.1300

  2062

  PDF: 627

  HTML: 104
• 

  A spatial lag model analysis of lung cancer incidence and satellite-derived data on air pollution in Thailand from 2020 to 2023

  Wasana Silangam, Amornrat Luenam

  14-11-2025

  https://doi.org/10.4081/gh.2025.1424

  630

  PDF: 341

  HTML: 7