Impact Factor 2024

Search

Search Results

##search.searchResults.foundPlural##

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

1193

PDF: 482

HTML: 11
Geospatial Health: achievements, innovations, priorities

Sherif Amer, Ellen-Wien Augustijn, Carmen Anthonj, Nils Tjaden, Justine Blanford, Marc van den Homberg, Laura Rinaldi, Thomas van Rompay, Raúl Zurita Milla

25-10-2024

https://doi.org/10.4081/gh.2024.1355

1640

PDF: 551

HTML: 95
Spatial analysis and risk mapping of Fasciola hepatica infection in dairy herds in Ireland

Nikolaos Selemetas, Els Ducheyne, Paul Phelan, Padraig O'Kiely, Guy Hendrickx, Theo de Waal

281-291

19-03-2015

https://doi.org/10.4081/gh.2015.350

4079

PDF: 1841
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

1640

PDF: 486

HTML: 70
Methodological framework for assessing malaria risk associated with climate change in Côte d’Ivoire

Yao Etienne Kouakou, Iba Dieudonné Dely, Madina Doumbia, Aziza Ouattara, Effah Jemima N’da, Koffi Evrard Brou, Yao Anicet Zouzou, Guéladio Cissé, Brama Koné

28-08-2024

https://doi.org/10.4081/gh.2024.1285

1376

PDF: 616

HTML: 100
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

2581

PDF: 848

HTML: 726
Analytical report of the 2016 dengue outbreak in CÃ³rdoba city, Argentina

Camilo Rotela, Laura Lopez, María Frías Céspedes, Gabriela Barbas, Andrés Lighezzolo, Ximena Porcasi, Mario A. Lanfri, Carlos M. Scavuzzo, David E. Gorla

06-11-2017

https://doi.org/10.4081/gh.2017.564

3244

PDF: 1267

HTML: 853
Measuring high-density built environment for public health research: Uncertainty with respect to data, indicator design and spatial scale

Guibo Sun, Chris Webster, Michael Y. Ni, Xiaohu Zhang

07-05-2018

https://doi.org/10.4081/gh.2018.653

2324

PDF: 1252

HTML: 206
Disparities in COVID-19 health outcomes among different sub-immigrant groups in the US - a study based on the spatial Durbin model

Jihoon Jung, Yoonjung Ahn, Joseph Bommarito

18-03-2022

https://doi.org/10.4081/gh.2022.1064

1479

PDF: 374

Appendix: 281

HTML: 8
Diagnostic approaches to malaria in Zambia, 2009-2014

Victor M. Mukonka, Emmanuel Chanda, Mulakwa Kamuliwo, Maha A. Elbadry, Pauline K. Wamulume, Mercy Mwanza-Ingwe, Jailos Lubinda, Lindsey A. Laytner, Wenyi Zhang, Gabriel Mushinge, Ubydul Haque

03-06-2015

https://doi.org/10.4081/gh.2015.330

3462

PDF: 1336

HTML: 1162
Spatial correlates of COVID-19 first wave across continental Portugal

Bruno Barbosa, Melissa Silva, César Capinha, Ricardo A.C. Garcia, Jorge Rocha

23-06-2022

https://doi.org/10.4081/gh.2022.1073

1373

PDF: 459

HTML: 45
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

1617

PDF: 711

Annex I-VI: 127

HTML: 68
Vulnerability to COVID-19 in Pernambuco, Brazil: A geospatial evaluation supported by multiple-criteria decision aid methodology

Ciro José Jardim de Figueiredo, Caroline Maria de Miranda Mota, Amanda Gadelha Ferreira Rosa, Arthur Pimentel Gomes de Souza, Simone Maria da Silva Lima

14-01-2022

https://doi.org/10.4081/gh.2022.1000

2489

PDF: 460

HTML: 44
Spatial analysis of cutaneous leishmaniasis in an endemic area of Iran based on environmental factors

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

08-11-2017

https://doi.org/10.4081/gh.2017.578

2592

PDF: 970

HTML: 925
The spatio-temporal distribution of Oncomelania hupensis along Yangtze river in Jiangsu Province, China after implementation of a new, integrated schistosomiasis control strategy

Jian He, Wei Li, Robert Bergquist, Jian-Feng Zhang, Liang Shi, Song Zhao, Feng Wu, Kun Yang

29-11-2016

https://doi.org/10.4081/gh.2016.480

3014

PDF: 910

HTML: 890
Spatial analysis and modelling of depression relative to social vulnerability index across the United States

Kiara M. Rivera, Abolfazl Mollalo

01-09-2022

https://doi.org/10.4081/gh.2022.1132

4090

PDF: 1908

HTML: 480
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

1789

PDF: 861

HTML: 138
The Pan American Health Organization's role and perspectives on the mapping and modeling of the neglected tropical diseases in Latin America and the Caribbean: an overview

Steven K. Ault, Ruben Santiago Nicholls, Martha IdaIí Saboya

S7-S9

01-09-2012

https://doi.org/10.4081/gh.2012.116

1631

PDF: 1003
Spatio-temporal and stochastic modelling of severe acute respiratory syndrome

Poh-Chin Lai, Kim-Hung Kwong, Ho-Ting Wong

183-192

01-11-2013

https://doi.org/10.4081/gh.2013.65

1701

PDF: 1249
Comparing the perception with the reality of walking in a hilly environment: an accessibility method applied to a University campus in Hong Kong

Guibo Sun, Robert Haining, Hui Lin, Nicolas M. Oreskovic, Jie He

18-05-2015

https://doi.org/10.4081/gh.2015.340

5120

PDF: 1814

HTML: 1886
Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling

Uwem F. Ekpo, Eveline Hürlimann, Nadine Schur, Akinola. S. Oluwole, Eniola M. Abe, Margaret A. Mafe, Obiageli J. Nebe, Sunday Isiyaku, Francisca Olamiju, Mukaila Kadiri, Temitope O.S. Poopola, Eka I. Braide, Yisa Saka, Chiedu F. Mafiana, Thomas K. Kristensen, Jürg Utzinger, Penelope Vounatsou

355-366

01-05-2013

https://doi.org/10.4081/gh.2013.92

5339

PDF: 1908
Smooth incidence maps give valuable insight into Q fever outbreaks in The Netherlands

Wim van der Hoek, Jan van de Kassteele, Ben Bom, Arnout de Bruin, Frederika Dijkstra, Barbara Schimmer, Piet Vellema, Ronald ter Schegget, Peter M. Schneeberger

127-134

01-11-2012

https://doi.org/10.4081/gh.2012.111

2415

PDF: 1091
Abundance modelling of invasive and indigenous Culicoides species in Spain

Els Ducheyne, Miguel A. Miranda Chueca, Javier Lucientes, Carlos Calvete, Rosa Estrada, Gert-Jan Boender, Els Goossens, Eva M. De Clercq, Guy Hendrickx

241-254

01-11-2013

https://doi.org/10.4081/gh.2013.70

2171

PDF: 976
Reducing bias in risk indices for COVID-19

Michał Paweł Michalak, Jack Cordes, Agnieszka Kulawik, Sławomir Sitek, Sławomir Pytel, Elżbieta Zuzańska-Żyśko, Radosław Wieczorek

14-01-2022

https://doi.org/10.4081/gh.2022.1013

2821

PDF: 402

Appendix: 383

HTML: 32
Spatial-temporal analysis of prostate cancer incidence from the Pennsylvania Cancer Registry, 2000-2011

Ming Wang, Stephen A. Matthews, Khaled Iskandarani, Yimei Li, Zheng Li, Vernon M. Chinchilli, Lijun Zhang

28-11-2017

https://doi.org/10.4081/gh.2017.611

3563

PDF: 855

HTML: 718
Spatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical models

Ronaldo G. C. Scholte, Nadine Schur, Maria E. Bavia, Edgar M. Carvalho, Frédérique Chammartin, Jürg Utzinger, Penelope Vounatsou

97-110

01-11-2013

https://doi.org/10.4081/gh.2013.58

3656

PDF: 1961
Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle

Fleur Hierink, Nima Yaghmaei, Mirjam I. Bakker, Nicolas Ray, Marc van den Homberg

29-10-2024

https://doi.org/10.4081/gh.2024.1284

6076

PDF: 639

Supplementary Materials: 200

HTML: 96
Bayesian spatial modelling and the significance of agricultural land use to scrub typhus infection in Taiwan

Nicola A. Wardrop, Chi-Chien Kuo, Hsi-Chieh Wang, Archie C. A. Clements, Pei-Fen Lee, Peter M. Atkinson

229-239

01-11-2013

https://doi.org/10.4081/gh.2013.69

2645

PDF: 984
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

1132

PDF: 491

HTML: 14
Spatial scale effects in environmental risk-factor modelling for diseases

Ram K. Raghavan, Karen M. Brenner, John A. Jr. Harrington, James J. Higgins, Kenneth R. Harkin

169-182

01-05-2013

https://doi.org/10.4081/gh.2013.78

1939

PDF: 1212
Methodological approach to determine of small spatial units in a highly complex terrain in atmospheric pollution research: the case of Zasavje region in Slovenia

Andreja Kukec, Marija Z. Boznar, Primoz Mlakar, Bostjan Grasic, Andrej Herakovic, Vesna Zadnik, Lijana Zaletel-Kragelj, Jerneja Farkas, Ivan Erzen

527-535

01-05-2014

https://doi.org/10.4081/gh.2014.42

1386

PDF: 825
Comparison of data-fitting models for schistosomiasis: a case study in Xingzi, China

Yi Hu, Cheng-Long Xiong, Zhi-Jie Zhang, Robert Bergquist, Zeng-Liang Wang, Jie Gao, Rui Li, Bo Tao, Qiu-Lin Jiang, Qingwu Jiang

125-132

01-11-2013

https://doi.org/10.4081/gh.2013.60

2600

PDF: 996
Implications from assessing environmental effects on spatio-temporal pattern of schistosomiasis in the Yangtze Basin, China

Fenghua Gao, Michael P. Ward, Yan Wang, Zhijie Zhang, Yi Hu

12-11-2018

https://doi.org/10.4081/gh.2018.730

1304

PDF: 870

HTML: 32
Spatial autocorrelation patterns and factors associated with regular alcohol consumption behaviour among Thai men

Naowarat Maneenin, Warangkana Sungsitthisawad, Chanwit Maneenin, Chananya Jirapornkul, Kittipong Sornlorm, Roshan Kumar Mahato, Wongsa Laohasiriwong

26-09-2025

https://doi.org/10.4081/gh.2025.1406

309

PDF: 127

HTML: 11
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

1459

PDF: 558

HTML: 94
A breeding site model for regional, dynamical malaria simulations evaluated using in situ temporary ponds observations

Ernest O. Asare, Adrian M. Tompkins, Leonard K. Amekudzi, Volker Ermert

31-03-2016

https://doi.org/10.4081/gh.2016.390

2633

PDF: 1088

HTML: 1097
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

13-11-2023

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

1362

PDF: 606

HTML: 23
Spatial and spatio-temporal clusters of lung cancer incidence by stage of disease in Michigan, United States 1985-2018

Qiong Zhang, Shangrui Zhu, Sue C. Grady, Anqi Wang, Hollis Hutchings, Jessica Cox, Andrew Popoff, Ikenna Okereke

14-02-2024

https://doi.org/10.4081/gh.2024.1219

6365

PDF: 975

Supplementary Materials: 124

HTML: 82
Impact of climate variability on the occurrence of cutaneous leishmaniasis in Khuzestan Province, southwestern Iran

Farideh Azimi, Sadegh Shirian, Saranaz Jangjoo, Arman Ai, Tahereh Abbasi

08-05-2017

https://doi.org/10.4081/gh.2017.478

2751

PDF: 1302

HTML: 1046
The use of geographic information system as a tool for schistosomiasis surveillance in the province of Davao del Norte, the Philippines

Vicente Y. Belizario, John Paul Caesar R. delos Trinos, Berne Silawan, Chiqui M. De Veyra, Agapito Hornido, Hansel Amoguis, Dominic Basalo, Cherry Dema-ala, Irenn Mantilla, Rosele Layan

06-11-2017

https://doi.org/10.4081/gh.2017.540

7145

PDF: 1890

HTML: 2142
Prehistoric human migrations: a prospective subject for modelling using geographical information systems

Robert Bergquist

25-05-2023

https://doi.org/10.4081/gh.2023.1210

1283

PDF: 447

HTML: 31
Mapping and modelling the geographical distribution of soil-transmitted helminthiases in Peninsular Malaysia: implications for control approaches

Romano Ngui, Aziz Shafie, Kek H. Chua, Mohd S. Mistam, Hesham M. Al-Mekhlafi, Wan W. W. Sulaiman, Rohela Mahmud, Yvonne A. L. Lim

365-376

01-05-2014

https://doi.org/10.4081/gh.2014.26

4259

PDF: 1265
Sheep and Fasciola hepatica in Europe: the GLOWORM experience

Laura Rinaldi, Annibale Biggeri, Vincenzo Musella, Theo de Waal, Hubertus Hertzberg, Fabien Mavrot, Paul R. Torgerson, Nikolaos Selemetas, Tom Coll, Antonio Bosco, Laura Grisotto, Giuseppe Cringoli, Dolores Catelan

309-317

19-03-2015

https://doi.org/10.4081/gh.2015.353

4405

PDF: 2128
Sandwich mapping of schistosomiasis risk in Anhui Province, China

Yi Hu, Robert Bergquist, Henry Lynn, Fenghua Gao, Qizhi Wang, Shiqing Zhang, Rui Li, Liqian Sun, Congcong Xia, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang

03-06-2015

https://doi.org/10.4081/gh.2015.324

2942

PDF: 1174

HTML: 1072
Modelling recent and future climatic suitability for fasciolosis in Europe

Cyril Caminade, Jan van Dijk, Matthew Baylis, Diana Williams

301-308

19-03-2015

https://doi.org/10.4081/gh.2015.352

4161

PDF: 1598
Vector-borne diseases in a warmer world: Will they stay or will they go?

Robert Bergquist, Anna-Sofie Stensgaard, Laura Rinaldi

07-05-2018

https://doi.org/10.4081/gh.2018.699

2618

PDF: 1212

HTML: 212
Spatio-temporal outbreaks of campylobacteriosis and the role of fresh-milk vending machines in the Czech Republic: A methodological study

Lukáš Marek, Vít Pászto

08-11-2017

https://doi.org/10.4081/gh.2017.572

2623

PDF: 739

HTML: 832
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

3097

PDF: 750

VIDEO: 0

HTML: 669
Climate-based risk models for Fasciola hepatica in Colombia

Natalia Valencia-Lòpez, John B. Malone, Catalina Gòmez Carmona, Luz E. Velásquez

S75-S85

01-09-2012

https://doi.org/10.4081/gh.2012.125

2850

PDF: 1479
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

9162

PDF: 1636
A spatiotemporal analysis of the social determinants of health for COVID-19

Claire Bonzani, Peter Scull, Daisaku Yamamoto

25-05-2023

https://doi.org/10.4081/gh.2023.1153

1715

PDF: 830

HTML: 22
Understanding the relationship between land use and land cover and malaria in Nepal

Shreejana Bhattarai, Korine N. Kolivras, Kabita Ghimire, Yang Shao

29-12-2020

https://doi.org/10.4081/gh.2020.855

1875

PDF: 841

HTML: 29
Study of the variation of schistosomiasis risk in Lake Poyang in the People's Republic of China using multiple space-borne sensors for monitoring and modelling

Kuo-Hsin Tseng, Song Liang, Motomu Ibaraki, Hyongki Lee, C. K. Shum

353-364

01-05-2014

https://doi.org/10.4081/gh.2014.25

1589

PDF: 1008
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

1801

PDF: 589

HTML: 85
Spatial analysis for the epidemiological study of cardiovascular diseases: A systematic literature search

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

07-05-2018

https://doi.org/10.4081/gh.2018.587

5023

PDF: 2405

HTML: 744
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

537

PDF: 216

HTML: 20
Spatial analysis of the prevalence of schistosomiasis in an endemic coastal area in north-eastern Brazil

Allan D. Santos, Jonhnatas Silva, Ana Caroline Lima, Márcio Santos, Shirley Lima, Monalisa Amor, Carlos Santos, Arthur Vasconcelos, Silvio Dolabella, Karina C.G.M. Araújo

27-11-2017

https://doi.org/10.4081/gh.2017.570

2956

PDF: 890

HTML: 866
Effects of geographical factors on reference values of the thyroid stimulating hormone in healthy adults in China and its clinical significance

Xinrui Pang, Miao Ge, Congxia Wang, Jinwei He

06-05-2022

https://doi.org/10.4081/gh.2022.1030

1092

PDF: 504

HTML: 232
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

3455

PDF: 1185

APPENDIX: 387

HTML: 844
Climate and the distribution of vector-borne diseases: what's in store?

Robert Bergquist

08-05-2017

https://doi.org/10.4081/gh.2017.549

3169

PDF: 1308

HTML: 842
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

2221

PDF: 641

Appendix: 267

HTML: 101
Impact of the COVID-19 pandemic on the number of births in Pernambuco Brazil

Heitor Victor Veiga da Costa, Cristine Vieira do Bonfim, Wilson Fusco, Morvan de Melo Moreira, Fernando Maciano de Paula Neto

15-06-2022

https://doi.org/10.4081/gh.2022.1069

1033

PDF: 474

HTML: 51
Point process methods in epidemiology: application to the analysis of human immunodeficiency virus/acquired immunodeficiency syndrome mortality in urban areas

Jose Antonio Quesada, Inmaculada Melchor, Andreu Nolasco

26-05-2017

https://doi.org/10.4081/gh.2017.506

1698

PDF: 904

HTML: 1030
Space-time epidemiology and effect of meteorological parameters on influenza-like illness in Phitsanulok, a northern province in Thailand

Prakash Madhav Nimbalkar, Nitin Kumar Tripathi

21-11-2016

https://doi.org/10.4081/gh.2016.447

2185

PDF: 1254

HTML: 1131
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

2267

PDF: 1439

HTML: 186
Understanding needs and barriers to using geospatial tools for public health policymaking in China

Dohyeong Kim, Yingyuan Zhang, Chang Kil Lee

07-05-2018

https://doi.org/10.4081/gh.2018.594

1765

PDF: 881

HTML: 296
Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events

Susan Maroney, MaryJane McCool-Eye, Andrew Fox, Christopher Burdett

10-12-2020

https://doi.org/10.4081/gh.2020.919

2453

PDF: 820

HTML: 116
Application of modern spatio-temporal analysis technologies to identify and visualize patterns of rabies emergence among different animal species in Kazakhstan

Aizada A. Mukhanbetkaliyeva, Anar M. Kabzhanova, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Temirlan G. Bakishev, Aslan A. Bainiyazov, Rakhimtay B. Tleulessov, Fedor I. Korennoy, Andres M. Perez, Sarsenbay K. Abdrakhmanov

31-07-2024

https://doi.org/10.4081/gh.2024.1290

1415

PDF: 621

HTML: 107
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

2109

PDF: 1205

HTML: 321
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

1582

PDF: 817

HTML: 62
Influence of landscape factors and management decisions on spatial and temporal patterns of the transmission of chronic wasting disease in white-tailed deer

Marilyn O'Hara Ruiz, Amy C. Kelly, William M. Brown, Jan E. Novakofski, Nohra E. Mateus-Pinilla

215-227

01-11-2013

https://doi.org/10.4081/gh.2013.68

2593

PDF: 1146
New insights into the application of geographical information systems and remote sensing in veterinary parasitology

Laura Rinaldi, Vincenzo Musella, Annibale Biggeri, Giuseppe Cringoli

33-47

01-11-2006

https://doi.org/10.4081/gh.2006.279

3389

PDF: 1551
Using geographical information systems for defining the accessibility to health care facilities in Jeddah City, Saudi Arabia

Abdulkader A. Murad

S661-S669

01-12-2014

https://doi.org/10.4081/gh.2014.295

3234

PDF: 2079
A Bayesian kriging model for estimating residential exposure to air pollution of children living in a high-risk area in Italy

Ana M. Vicedo-Cabrera, Annibale Biggeri, Laura Grisotto, Fabio Barbone, Dolores Catelan

87-95

01-11-2013

https://doi.org/10.4081/gh.2013.57

2386

PDF: 1267
Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions

Lucy Chimoyi, Zvifadzo Matsena-Zingoni, Salome Charalambous, Edmore Marinda, Samuel Manda, Eustasius Musenge

29-08-2022

https://doi.org/10.4081/gh.2022.1084

2017

PDF: 508

Supplementary 1: 111

Supplementary 2: 273

HTML: 149
Spatiotemporal evolution characteristics and attribution analysis of hepatitis A in mainland China

Xiaodi Su, Chunxia Qiu, Chunhui Liu

03-12-2024

https://doi.org/10.4081/gh.2024.1323

1119

PDF: 330

HTML: 5
Satellite imaging and vector-borne diseases: the approach of the French National Space Agency (CNES)

Fabienne Marechal, Nathalie Ribeiro, Murielle Lafaye, Antonio Güell

1-5

01-11-2008

https://doi.org/10.4081/gh.2008.226

2339

PDF: 1093
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

27-11-2023

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

1363

PDF: 665

HTML: 52
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

1581

PDF: 493

HTML: 36
Evaluation of the spatial patterns and risk factors, including backyard pigs, for classical swine fever occurrence in Bulgaria using a Bayesian model

Beatriz Martínez-Lòpez, Tsviatko Alexandrov, Lina Mur, Fernando Sánchez-Vizcaíno, José M. Sánchez-Vizcaíno

489-501

01-05-2014

https://doi.org/10.4081/gh.2014.38

2109

PDF: 1144
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

2895

PDF: 1550
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

3827

PDF: 551

HTML: 97
Modelling the ecological niche of hookworm in Brazil based on climate

Ntombi B. Mudenda, John B. Malone, Michael T. Kearney, Paula D. Mischler, Prixia del Mar Nieto, Jennifer C. McCarroll, Penelope Vounatsou

S111-S123

01-09-2012

https://doi.org/10.4081/gh.2012.129

2002

PDF: 1011
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

1431

PDF: 860

HTML: 129
Indirect field technology for detecting areas object of illegal spills harmful to human health: application of drones, photogrammetry and hydrological models

Alessandra Capolupo, Stefania Pindozzi, Collins Okello, Lorenzo Boccia

S699-S707

01-12-2014

https://doi.org/10.4081/gh.2014.298

4194

PDF: 2005
Child mortality inequalities across Rwanda districts: a geoadditive continuous-time survival analysis

François Niragire, Thomas N.O. Achia, Alexandre Lyambabaje, Joseph Ntaganira

11-05-2017

https://doi.org/10.4081/gh.2017.450

2970

PDF: 1634

HTML: 1383
COVID-19, air quality and space monitoring

Yves M. Tourre, Mireille Paulin, Gilles Dhonneur, David Attias, Atul Pathak

06-04-2022

https://doi.org/10.4081/gh.2022.1052

1653

PDF: 493

HTML: 20
Geospatial modelling to estimate the territory at risk of establishment of influenza type A in Mexico - An ecological study

Enrique Ibarra-Zapata, Darío Gaytán-Hernández, Verònica Gallegos-García, Claudia Elena González-Acevedo, Thuluz Meza-Menchaca, María Judith Rios-Lugo, Héctor Hernández-Mendoza

14-05-2021

https://doi.org/10.4081/gh.2021.956

1885

PDF: 565

HTML: 27
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

2039

PDF: 1325

HTML: 118
Planning and location of health care services in Jeddah City, Saudi Arabia: Discussion of the constructive use of geographical information systems

Abdulkader Murad

09-11-2018

https://doi.org/10.4081/gh.2018.728

1922

PDF: 1058

HTML: 278
Evaluating the utility of companion animal tick surveillance practices for monitoring spread and occurrence of human Lyme disease in West Virginia, 2014-2016

Brian Hendricks, Miguella Mark-Carew, Jamison Conley

13-11-2017

https://doi.org/10.4081/gh.2017.582

2456

PDF: 780

HTML: 743
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

3385

PDF: 1349

HTML: 995
Operational satellite-based temporal modelling of Aedes population in Argentina

Manuel Espinosa, Eliana Marina Alvarez Di Fino, Marcelo Abril, Mario Lanfri, Maria Victoria Periago, Carlos Marcelo Scavuzzo

09-11-2018

https://doi.org/10.4081/gh.2018.734

1852

PDF: 1101

HTML: 63
Understanding COVID-19: comparison of spatio-temporal analysis methods used to study epidemic spread patterns in the United States

Chunhui Liu, Xiaodi Su, Zhaoxuan Dong, Xingyu Liu, Chunxia Qiu

25-05-2023

https://doi.org/10.4081/gh.2023.1200

1189

PDF: 622

HTML: 57
Design and implementation of a spatial database for analysis of wheelchair accessibility

Peter Nezval, Takeshi Shirabe

24-03-2025

https://doi.org/10.4081/gh.2025.1324

1517

PDF: 369

HTML: 92
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

1334

PDF: 775

Supplementary Materials: 113

HTML: 33
Spatial analysis of the relationship between out-of-pocket expenditure and socioeconomic status in South Korea

Young-Gyu Kwon, Man-Kyu Choi

25-05-2023

https://doi.org/10.4081/gh.2023.1175

1221

PDF: 670

HTML: 37
Measuring neighborhood deprivation for childhood health and development - scale implications in rural and urban context

Alexandra Ursache, Seann Regan, Allison De Marco, Dustin T. Duncan, The Family Life Project Key Investigators

11-03-2021

https://doi.org/10.4081/gh.2021.926

2567

PDF: 937

HTML: 52
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

6133

PDF: 872

HTML: 1002
Dynamic effect of economic growth on the persistence of suicide rates

Tzu-Yi Yang, Yu-Tai Yang, Ssu-Han Chen, Yu-Ting Lan, Chia-Jui Peng

25-05-2023

https://doi.org/10.4081/gh.2023.1201

762

PDF: 535

HTML: 31

101 - 200 of 213 items << < 1 2 3 > >>

© PAGEPress 2008-2025 • PAGEPress^® is a registered trademark property of PAGEPress srl, Italy • VAT: IT02125780185 • Privacy