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  Zoning the territory of the Republic of Kazakhstan as to the risk of rabies among various categories of animals

  Sarsenbay K. Abdrakhmanov, Akhmetzhan A. Sultanov, Kanatzhan K. Beisembayev, Fedor I. Korennoy, Dosym B. Кushubaev, Ablaikhan S. Каdyrov

  31-05-2016

  https://doi.org/10.4081/gh.2016.429

  2799

  PDF: 1356

  APPENDIX: 688

  HTML: 1502

• 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

  3259

  PDF: 1452
• 

  Cascading effects of COVID-19 on population mobility and air quality: An exploration including place characteristics using geovisualization

  Samuel F. Atkinson, Abhishek K. Kala, Chetan Tiwari

  17-02-2022

  https://doi.org/10.4081/gh.2022.1056

  2333

  PDF: 419

  HTML: 45

• 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

  2716

  PDF: 1240

• Towards assessing fine-scale indicators for the spatial transmission risk of Fasciola hepatica in cattle

  Johannes Charlier, Sita Carolien Bennema, Yannick Caron, Michel Counotte, Els Ducheyne, Guy Hendrickx, Jozef Vercruysse

  239-245

  01-05-2011

  https://doi.org/10.4081/gh.2011.176

  2919

  PDF: 1642

• Impact of climate change and man-made irrigation systems on the transmission risk, long-term trend and seasonality of human and animal fascioliasis in Pakistan

  Kiran Afshan, Cesar A. Fortes-Lima, Patricio Artigas, M. Adela Valero, Mazhar Qayyum, Santiago Mas-Coma

  317-334

  01-05-2014

  https://doi.org/10.4081/gh.2014.22

  27104

  PDF: 2297

• 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

  6405

  PDF: 1054

  HTML: 1119
• 

  The spatial distribution pattern of human immunodeficiency virus/acquired immune deficiency syndrome in China

  Ying Wang, Yongli Yang, Xuezhong Shi, Saicai Mao, Nian Shi, Xiaoqing Hui

  31-05-2016

  https://doi.org/10.4081/gh.2016.414

  4178

  PDF: 1823

  HTML: 2258

• Integrated disease mapping in a polyparasitic world

  Simon Brooker, Jürg Utzinger

  141-146

  01-05-2007

  https://doi.org/10.4081/gh.2007.262

  2713

  PDF: 1248
• 

  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

  708

  PDF: 344

  Supplementary Materials: 81

  HTML: 13
• 

  Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis

  Sang Min Lee, Dong Woo Huh, Young Gyu Kwon

  11-03-2025

  https://doi.org/10.4081/gh.2025.1295

  2185

  PDF: 669

  Supplementary materials: 210

  HTML: 110
• 

  How much incident lung cancer was missed globally in 2012? An ecological country-level study

  Benn Sartorius, Kurt Sartorius

  31-05-2016

  https://doi.org/10.4081/gh.2016.396

  2597

  PDF: 1387

  HTML: 1030

• Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis

  Mathuros Tipayamongkholgul, Sunisa Lisakulruk

  191-198

  01-05-2011

  https://doi.org/10.4081/gh.2011.171

  4231

  PDF: 1709

• An operative dengue risk stratification system in Argentina based on geospatial technology

  Ximena Porcasi, Camilo H. Rotela, María V. Introini, Nicolás Frutos, Sofía Lanfri, Gonzalo Peralta, Estefanía A. De Elia, Mario A. Lanfri, Carlos M. Scavuzzo

  S31-S42

  01-09-2012

  https://doi.org/10.4081/gh.2012.120

  3128

  PDF: 1705
• 

  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

  2473

  PDF: 1103

  HTML: 672

• Mapping environmental susceptibility to Saint Louis encephalitis virus, based on a decision tree model of remotelysensed data

  Camilo H. Rotela, Lorena I. Spinsanti, Mario A. Lamfri, Marta S. Contigiani, Walter R. Almiròn, Carlos M. Scavuzzo

  85-94

  01-11-2011

  https://doi.org/10.4081/gh.2011.160

  1379

  PDF: 882
• 

  Spatial and temporal analysis of the human immunodeficiency virus in an area of social vulnerability in Northeast Brazil

  Géssyca Cavalcante de Melo, Emilia Carolle Azevedo de Oliveira, Iane Brito Leal, Carolina Piedade Morais de Freitas Soares Silva, Roberta Andrade Beltrão, Allan Dantas dos Santos, Renata Karina Reis, Marco Antônio Prado Nunes, Karina Conceição Gomes Machado de Araujo

  26-11-2020

  https://doi.org/10.4081/gh.2020.863

  3219

  PDF: 1144

  HTML: 36

• Spatial epidemiology of Toxoplasma gondii infection in goats in Serbia

  Vitomir Djokić, Ivana Klun, Vincenzo Musella, Laura Rinaldi, Giuseppe Cringoli, Smaragda Sotiraki, Olgica Djurković-Djaković

  479-488

  01-05-2014

  https://doi.org/10.4081/gh.2014.37

  2199

  PDF: 1200

• Neurological disability in leprosy: incidence and gender association in Sergipe, Brazil

  Daniela Teles de Oliveira, Marília Matos Bezerra, José Antônio Pacheco de Almeida, Malcolm Duthie, Steven Reed, Amelia Ribeiro de Jesus

  S125-S129

  01-09-2012

  https://doi.org/10.4081/gh.2012.130

  1571

  PDF: 871

• Bayesian modelling of geostatistical malaria risk data

  L. Gosoniu, P. Vounatsou, N. Sogoba, T. Smith

  127-139

  01-11-2006

  https://doi.org/10.4081/gh.2006.287

  9842

  PDF: 1756

• A real-time platform for monitoring schistosomiasis transmission supported by Google Earth and a web-based geographical information system

  Kun Yang, Le-Ping Sun, Yi-Xin Huang, Guo-Jing Yang, Feng Wu, De-Rong Hang, Wei Li, Jian-Feng Zhang, Yong-Sheng Liang, Xiao-Nong Zhou

  195-203

  01-05-2012

  https://doi.org/10.4081/gh.2012.137

  2998

  PDF: 1508
• 

  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

  493

  PDF: 215

  Supplementary materials: 32

  HTML: 7
• 

  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

  2246

  PDF: 801

  Supplementary materials: 192

  HTML: 110
• 

  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

  1282

  PDF: 568

  HTML: 21
• 

  Spatiotemporal patterns of mortality associated with chronic non-communicable diseases and child malnutrition at the municipal level in Mexico

  José Mauricio Galeana-Pizaña, Leslie Verdeja-Vendrell, Lizbeth Ixchel Díaz-Trejo, Carlos Anzaldo, Daniela Figueroa, Aldo Daniel Jiménez-Ortega

  17-05-2022

  https://doi.org/10.4081/gh.2022.1087

  1685

  PDF: 956

  Appendix: 179

  HTML: 67
• 

  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. Кorennoy, Gulzhan N. Yessembekova, Dosym B. Кushubaev, Ablaikhan S. Кadyrov

  31-05-2016

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

  2437

  PDF: 1261

  HTML: 1291
• 

  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

  1534

  PDF: 548

  HTML: 39
• 

  Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning

  Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini, Elahe Pishgar, Robert Bergquist

  26-03-2025

  https://doi.org/10.4081/gh.2025.1319

  2336

  PDF: 677

  HTML: 79
• 

  Spatio-temporal analysis of leptospirosis in Brazil and its relationship with flooding

  Alice Nardoni Marteli, Laurindo Antonio Guasselli , Décio Diament , Gabriele Ozório Wink , Vitor Vieira Vasconcelos

  29-11-2022

  https://doi.org/10.4081/gh.2022.1128

  2688

  PDF: 1645

  HTML: 206
• 

  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

  4035

  PDF: 1649

  HTML: 112
• 

  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

  2153

  PDF: 1056

  HTML: 69
• 

  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

  3265

  PDF: 1044

  Supplementary Materials: 572

  HTML: 254
• 

  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

  1675

  PDF: 902

  Supplementary Materials: 140

  HTML: 68
• 

  Impact of walkability with regard to physical activity in the prevention of diabetes

  Carlos Mena, César Sepúlveda, Yony Ormazábal, Eduardo Fuentes, Iván Palomo

  03-11-2017

  https://doi.org/10.4081/gh.2017.595

  3706

  PDF: 1196

  HTML: 1082
• 

  Health, environmental change and adaptive capacity; mapping, examining and anticipating future risks of water-related vector-borne diseases in eastern Africa

  David Taylor, Stefan Kienberger, Jack B. Malone, Adrian M. Tompkins

  18-02-2016

  https://doi.org/10.4081/gh.2016.464

  3589

  PDF: 1636

  HTML: 1116
• 

  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

  1664

  PDF: 660

  HTML: 42
• 

  Spatial autocorrelation and stratified heterogeneity in the evaluation of breast cancer risk inequity and socioeconomic factors analysis in China: Evidence from Nanchang, Jiangxi Province

  Yaqi Wang, Zhiwei Wan

  17-05-2022

  https://doi.org/10.4081/gh.2022.1078

  1817

  PDF: 969

  HTML: 165
• 

  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

  2826

  PDF: 1142

  HTML: 61

• 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

  2700

  PDF: 778

  HTML: 95
• 

  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

  1207

  PDF: 632

  HTML: 14
• 

  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

  1779

  PDF: 597

  HTML: 42
• 

  Spatio-temporal distribution characteristics of cysticercosis from 2000 to 2014 in Dali, Yunnan province, China.

  Huanzhang Li, Xinzhong Zang, Xiaokang Hu, Eniola Michael Abe, Menbao Qian, Jingbo Xue, Yingdan Chen, Changhai Zhou, Yuhua Liu, Shizhu Li

  29-12-2020

  https://doi.org/10.4081/gh.2020.815

  1408

  HTML: 41

  PDF: 632
• 

  Shrinking risk profiles after deworming of children in Port Elizabeth, South Africa, with special reference to Ascaris lumbricoides and Trichuris trichiura

  Ivan Müller, Stefanie Gall, Lindsey Beyleveld, Markus Gerber, Uwe Pühse, Rosa du Randt, Peter Steinmann, Leyli Zondie, Cheryl Walter, Jürg Utzinger

  27-11-2017

  https://doi.org/10.4081/gh.2017.601

  3269

  PDF: 853

  VIDEO: 0

  HTML: 678
• 

  Mapping livestock systems, bovine and caprine diseases in Mayo-Kebbi Ouest Province, Chad

  Kella Douzouné, Joseph Oloukoi, Ismaila Toko Imorou, Toure Gorgui Ba, Derrick Chefor Ymele Demeveng

  03-02-2025

  https://doi.org/10.4081/gh.2025.1365

  3699

  PDF: 1250

  Supplementary Materials: 606

  HTML: 195
• 

  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

  2161

  PDF: 1084

  HTML: 68
• 

  Transport geography: Implications for public health

  Sherif Amer, Robert Bergquist

  05-05-2021

  https://doi.org/10.4081/gh.2021.1009

  10938

  PDF: 1005

  HTML: 30
• 

  Spatial and statistical analysis of leptospirosis in Thailand from 2013 to 2015

  Amornrat Luenam, Nattapong Puttanapong

  14-05-2019

  https://doi.org/10.4081/gh.2019.739

  2870

  PDF: 1727

  HTML: 244

• The power of interactive maps for communicating spatio-temporal data to health professionals

  Nils Tjaden, Felix Geeraedts, Caroline K. Kioko, Annelies Riezebos-Brilman, Nashwan al Naiemi, Justine Blanford, Nienke Beerlage-de Jong

  29-08-2024

  https://doi.org/10.4081/gh.2024.1296

  1246

  PDF: 649

  HTML: 125
• 

  Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia

  Muhammad Aidil Roslan, Romano Ngui, Muhammad Fathi Marzuki, Indra Vythilingam, Aziz Shafie, Sabri Musa, Wan Yusoff Wan Sulaiman

  11-05-2022

  https://doi.org/10.4081/gh.2022.1025

  1927

  PDF: 863

  Annex I-VI: 156

  HTML: 70
• 

  Spatio-temporal analysis of foot traffic dynamics in Charleston County, South Carolina: before, during, and after COVID-19

  Wish Shao, Abolfazl Mollalo, Navid Hashemi Tonekaboni

  23-06-2025

  https://doi.org/10.4081/gh.2025.1363

  728

  PDF: 392

  HTML: 29
• 

  A concise, straightforward presentation can be worth more than a thousand words

  Robert Bergquist

  03-11-2017

  https://doi.org/10.4081/gh.2017.637

  2618

  PDF: 789

  HTML: 664
• 

  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

  1773

  PDF: 891

  HTML: 116
• 

  Modelling geographical heterogeneity of diabetes prevalence and socio-economic and built environment determinants in Saudi City - Jeddah

  Abdulkader Murad, Fazlay Faruque, Ammar Naji, Alok Tiwari, Mansour Helmi, Ammar Dahlan

  16-05-2022

  https://doi.org/10.4081/gh.2022.1072

  2019

  PDF: 1018

  HTML: 157
• 

  Development of the first georeferenced map of Rhipicephalus (Boophilus) spp. in Mexico from 1970 to date and prediction of its spatial distribution

  Yazmin Alcala-Canto, Juan Antonio Figueroa-Castillo, Froylán Ibarra-Velarde, Yolanda Vera-Montenegro, María Eugenia Cervantes-Valencia, Abdelfattah Z.M. Salem, Jorge Alfredo Cuéllar-Ordaz

  07-05-2018

  https://doi.org/10.4081/gh.2018.624

  4546

  PDF: 1316

  HTML: 275
• 

  Spatial analysis of the regional variation of hypertensive disease mortality and its socio-economic correlates in South Korea

  Seong-Yong Park, Jin-Mi Kwak, Eun-Won Seo, Kwang-Soo Lee

  31-05-2016

  https://doi.org/10.4081/gh.2016.420

  3066

  PDF: 1752

  HTML: 1381
• 

  Spatial patterns of Plasmodium vivax transmission explored by multivariate auto-regressive state-space modelling - A case study in Baoshan Prefecture in southern China

  Jinxin Zheng, Benyun Shi, Shang Xia, Guojing Yang, Xiao-Nong Zhou

  12-03-2021

  https://doi.org/10.4081/gh.2021.879

  1818

  PDF: 764

  HTML: 30
• 

  Epidemiology of canine heartworm (Dirofilaria immitis) infection in domestic dogs in Ontario, Canada: Geographic distribution, risk factors and effects of climate

  Erin McGill, Olaf Berke, Andrew S. Peregrine, J. Scott Weese

  13-05-2019

  https://doi.org/10.4081/gh.2019.741

  4023

  PDF: 2263

  HTML: 837
• 

  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

  1191

  PDF: 772

  HTML: 121
• 

  Examination of infant mortality risk in Turkey with spatio-temporal Bayesian models

  Sade Kılıç Yıldırım, Celal Reha Alpar

  14-11-2025

  https://doi.org/10.4081/gh.2025.1396

  394

  PDF: 194

  HTML: 6
• 

  Report-back for geo-referenced environmental data: A case study on personal monitoring of temperature in outdoor workers

  Laura Thompson, Maggie Sugg, Jennifer Runkle

  07-05-2018

  https://doi.org/10.4081/gh.2018.629

  2567

  PDF: 1150

  APPENDIX: 378

  HTML: 83
• 

  Geographic clustering of elderly people with above-norm anthropometric measurements and blood chemistry

  Carlos Mena, Eduardo Fuentes, Yony Ormazábal, Iván Palomo

  11-05-2017

  https://doi.org/10.4081/gh.2017.523

  2903

  PDF: 1276

  HTML: 886
• 

  Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020

  Enríque Ibarra-Zapata, Darío Gaytán-Hernández, Yolanda Terán-Figueroa, Verónica Gallegos-García, Carmen del Pilar Suárez-Rodríguez, Sergio Zarazúa Guzmán, Omar Parra Rodríguez

  27-01-2025

  https://doi.org/10.4081/gh.2025.1348

  4467

  PDF: 1575

  HTML: 271
• 

  Investigating spatiotemporal patterns of the COVID-19 in São Paulo State, Brazil

  Enner Alcântara, José Mantovani, Luiz Rotta, Edward Park, Thanan Rodrigues, Fernando Campos Carvalho, Carlos Roberto Souza Filho

  26-11-2020

  https://doi.org/10.4081/gh.2020.925

  3925

  PDF: 1331

  HTML: 26
• 

  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

  718

  PDF: 390

  HTML: 18
• 

  COVID-19: Past, present and future

  Robert Bergquist

  09-09-2022

  https://doi.org/10.4081/gh.2022.1147

  997

  PDF: 535

  HTML: 110
• 

  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

  2369

  PDF: 1581

  HTML: 136
• 

  Explaining the longevity characteristics in China from a geographical perspective: A multi-scale geographically weighted regression analysis

  Renfei Yang, Fu Ren, Xiangyuan Ma, Hongwei Zhang, Wenxuan Xu, Peng Jia

  11-11-2021

  https://doi.org/10.4081/gh.2021.1024

  2072

  PDF: 917

  HTML: 129
• 

  Spatiotemporal analysis of rabies in cattle in central Mexico

  Isabel Bárcenas-Reyes, Diana Paulina Nieves-Martínez, José Quintín Cuador-Gil, Elizabeth Loza-Rubio, Sara González-Ruíz, Germinal Jorge Cantò-Alarcòn, Feliciano Milian-Suazo

  06-11-2019

  https://doi.org/10.4081/gh.2019.805

  2941

  PDF: 1333

  HTML: 130

• Flexible scan statistic with a restricted likelihood ratio for optimized COVID-19 surveillance

  Ernest Akyereko, Frank B. Osei, Kofi M. Nyarko, Alfred Stein

  26-11-2024

  https://doi.org/10.4081/gh.2024.1265

  897

  PDF: 288

  Supplementary Materials: 134

  HTML: 26
• 

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

  Ruiwen Xiong, Xiaolong Li

  20-07-2023

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

  1445

  PDF: 783

  HTML: 30
• 

  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

  4245

  PDF: 2029

  HTML: 581
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  Epidemiological aspects and spatial distribution of human and canine visceral leishmaniasis in an endemic area in northeastern Brazil

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  5578

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  3031

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  HTML: 65
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  1710

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  HTML: 208
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  Appendix: 177

  HTML: 31
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  2531

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  7561

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  2234

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  Appendix: 318

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• Methodological framework for assessing malaria risk associated with climate change in Côte d’Ivoire

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  1684

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  3253

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  3435

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  2766

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  3219

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

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  4931

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

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  Global spreading of Omicron variant of COVID-19

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  Spatiotemporal analysis of hand, foot and mouth disease data using time-lag geographically-weighted regression

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  3940

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