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Common errors in disease mapping

Ricardo Ocaña-Riola

139-154

01-05-2010

https://doi.org/10.4081/gh.2010.196

3649

PDF: 1249
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

2476

PDF: 767

HTML: 101
Combining process-based and correlative models improves predictions of climate change effects on Schistosoma mansoni transmission in eastern Africa

Anna-Sofie Stensgaard, Mark Booth, Grigory Nikulin, Nicky McCreesh

31-03-2016

https://doi.org/10.4081/gh.2016.406

4459

PDF: 1725

HTML: 1072
A review of spatial technologies with applications for malaria transmission modelling and control in Africa

Michael T. Gebreslasie

26-11-2015

https://doi.org/10.4081/gh.2015.328

6652

PDF: 2763

HTML: 3140
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

3199

PDF: 1518

HTML: 1081
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

23-10-2023

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

2043

PDF: 1008

HTML: 30
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

2914

PDF: 871

HTML: 852
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

3054

PDF: 1233

HTML: 958
A 24-year exploratory spatial data analysis of Lyme disease incidence rate in Connecticut, USA

Abolfazl Mollalo, Jason K. Blackburn, Lillian R. Morris, Gregory E. Glass

08-11-2017

https://doi.org/10.4081/gh.2017.588

3320

PDF: 1449

HTML: 1047
Spatial association and modelling of under-5 mortality in Thailand, 2020

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

31-08-2023

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

1775

PDF: 1049

HTML: 58
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

4008

PDF: 2311

HTML: 1273
There is more to satellite imagery than meets the eye

Robert Bergquist, John B. Malone

31-05-2022

https://doi.org/10.4081/gh.2022.1106

2965

PDF: 702

HTML: 34
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

6648

PDF: 912

Supplementary Materials: 303

HTML: 125
Geospatial epidemiology of coronary artery disease treated with percutaneous coronary intervention in Crete, Greece

Evangelos Melidoniotis, Kleomenis Kalogeropoulos, Andreas Tsatsaris, Michail Zografakis-Sfakianakis, George Lazopoulos, Nikolaos Tzanakis, Ioannis Anastasiou, Emmanouil Skalidis

16-05-2024

https://doi.org/10.4081/gh.2024.1251

2627

PDF: 783

HTML: 63
CutL: an alternative to Kulldorff's scan statistics for cluster detection with a specified cut-off level

Barbara WiÄ™ckowska, Justyna Marcinkowska

06-11-2017

https://doi.org/10.4081/gh.2017.556

2500

PDF: 831

HTML: 905
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

4534

PDF: 2121

HTML: 585
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

5487

PDF: 2507

HTML: 618
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

17-10-2023

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

1496

PDF: 742

HTML: 361
Mapping displaced populations with reference to social vulnerabilities for post-disaster public health management

Junaid Ahmad, Anees Ahmad, Mokbul Morshed Ahmad, Nafees Ahmad

27-11-2017

https://doi.org/10.4081/gh.2017.576

3793

PDF: 1423

HTML: 1432
Mapping brucellosis risk in communities in the Republic of Armenia

Thibaud Porphyre, Ronald Jackson, Carola Sauter-Louis, David Ward, Grigor Baghyan, Edik Stepanyan

103-118

01-11-2010

https://doi.org/10.4081/gh.2010.191

2196

PDF: 1204
The use of spatial tools in the study of Schistosoma mansoni and its intermediate host snails in Brazil: a brief review

Andrea Gazzinelli, Helmut Kloos

51-58

01-11-2007

https://doi.org/10.4081/gh.2007.254

2198

PDF: 1039
Use of an ecologically relevant modelling approach to improve remote sensing-based schistosomiasis risk profiling

Yvonne Walz, Martin Wegmann, Benjamin Leutner, Stefan Dech, Penelope Vounatsou, Eliézer K. N'Goran, Giovanna Raso, Jürg Utzinger

30-11-2015

https://doi.org/10.4081/gh.2015.398

4589

PDF: 1341

HTML: 1220
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

1893

PDF: 1167

Appendix: 216

HTML: 78
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

2040

PDF: 929

HTML: 114
The utility of Google Trends for epidemiological research: Lyme disease as an example

Ari Seifter, Alison Schwarzwalder, Kate Geis, John Aucott

135-137

01-05-2010

https://doi.org/10.4081/gh.2010.195

12169

PDF: 3837
Spatial and temporal changes in household structure locations using high-resolution satellite imagery for population assessment: an analysis in southern Zambia, 2006-2011

Timothy Shields, Jessie Pinchoff, Jailos Lubinda, Harry Hamapumbu, Kelly Searle, Tamaki Kobayashi, Philip E. Thuma, William J. Moss, Frank C. Curriero

31-05-2016

https://doi.org/10.4081/gh.2016.410

2438

PDF: 1219

HTML: 917
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

3760

PDF: 1718

HTML: 1122
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

2758

PDF: 863

HTML: 670
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

3101

PDF: 1865

HTML: 232
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

1380

PDF: 646

HTML: 59
Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old

André Oliveira, Antònio J.R. Cabral, Jorge M. Mendes, Maria R.O. Martins, Pedro Cabral

04-11-2015

https://doi.org/10.4081/gh.2015.365

3408

PDF: 1519

HTML: 1231
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

1973

PDF: 687

HTML: 49
Application of decision tree for prediction of cutaneous leishmaniasis incidence based on environmental and topographic factors in Isfahan Province, Iran

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

08-05-2018

https://doi.org/10.4081/gh.2018.664

1893

PDF: 1074

HTML: 177
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

3015

PDF: 1250

HTML: 77
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

1392

PDF: 685

HTML: 62
Smartphone-assisted spatial data collection improves geographic information quality: pilot study using a birth records dataset

Xiaohui Xu, Hui Hu, Sandie Ha, Daikwon Han

23-11-2016

https://doi.org/10.4081/gh.2016.482

3018

PDF: 1143

HTML: 819
Spatial variations of COVID-19 risk by age in Toronto, Canada

Nushrat Nazia

20-07-2022

https://doi.org/10.4081/gh.2022.1100

1290

PDF: 600

Appendix: 216

HTML: 149
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

1955

PDF: 1064

HTML: 1070
Spatial patterns of the total mortality over the first 24 hours of life and that due to preventable causes

Aline Beatriz dos Santos Silva, Ana Catarina de Melo Araújo, Amanda Priscila de Santana Cabral Silva, Mirella Bezerra Rodrigues Vilela, Cristine Vieira do Bonfim

17-05-2022

https://doi.org/10.4081/gh.2022.1051

1287

PDF: 698

Appendix: 199

HTML: 36
Geographical distribution and spatio-temporal patterns of hospitalization due to dengue infection at a leading specialist hospital in Malaysia

Gary K.K. Low, Panayoti Papapreponis, Ridzuan M. Isa, Seng Chiew Gan, Hui Yee Chee, Kian Keong Te, Nadia M. Hatta

07-05-2018

https://doi.org/10.4081/gh.2018.642

2569

PDF: 1103

APPENDIX: 486

HTML: 130
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

1922

PDF: 1003

HTML: 125
The distribution of cardiovascular diseases in Tanzania: a spatio-temporal investigation

Bernada E. Sianga, Maurice C. Mbago, Amina S. Msengwa

10-09-2024

https://doi.org/10.4081/gh.2024.1307

3266

PDF: 998

HTML: 266
Diabetes prevalence in the state of Alabama: identifying the risk factors

Kwaku Karikari Manu, Seth Appiah-Opoku

31-03-2026

https://doi.org/10.4081/gh.2026.1465

753

PDF: 284

HTML: 12
Estimating malaria burden in Nigeria: a geostatistical modelling approach

Nnadozie Onyiri

04-11-2015

https://doi.org/10.4081/gh.2015.306

7944

PDF: 3318

HTML: 3289
Validation of an interactive map assessing the potential spread of Galba truncatula as intermediate host of Fasciola hepatica in Switzerland

Rhea Baggenstos, Tobias Dahinden, Paul R. Torgerson, Hansruedi Bär, Christina Rapsch, Gabriela Knubben-Schweizer

31-05-2016

https://doi.org/10.4081/gh.2016.418

2760

PDF: 1423

HTML: 1022
Analysis of the socio-environmental vulnerability of black and Caucasian pregnant women in Salvador, Bahia, Brazil to the occurrence of microcephaly associated with the congenital syndrome of zika virus

Karine de Souza Oliveira Santana, Argemiro D'Oliveira Júnior, Liliane de Jesus Bittencourt, Marta Mariana Nascimento, Isabel Cristina Santos Guimarães, Ênio Soares, Moara de Santana Martins Rodgers, Asha Nicole Fradkin

16-06-2020

https://doi.org/10.4081/gh.2020.795

2324

PDF: 1252

HTML: 70
Geostatistical modelling of the malaria risk in Mozambique: effect of the spatial resolution when using remotely-sensed imagery

Federica Giardina, Jonas Franke, Penelope Vounatsou

26-11-2015

https://doi.org/10.4081/gh.2015.333

4016

PDF: 1807

HTML: 1217
Advanced analysis of depression tendency in China: an investigation of environmental and social factors based on geographical and temporal weighted regression

Yanhong Xu, Zhilin Hong, Huimei Lin, Xiaofeng Huang

21-07-2025

https://doi.org/10.4081/gh.2025.1385

1108

PDF: 379

HTML: 39
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

1765

PDF: 452

HTML: 74
Bayesian conditional autoregressive models to assess spatial patterns of diarrhoea risk among children under the age of 5 years in Mbour, Senegal

Sokhna Thiam, Guéladio Cissé, Anna-Sofie Stensgaard, Aminata Niang-Diène, Jürg Utzinger, Penelope Vounatsou

06-11-2019

https://doi.org/10.4081/gh.2019.823

1879

PDF: 994

APPENDIX: 385

HTML: 52
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

5621

PDF: 2731

HTML: 2000
Spatial and temporal clustering analysis of pulmonary tuberculosis and its associated risk factors in southwest China

Jianjiao Wang, Xiaoning Liu, Zhengchao Jing, Jiawai Yang

25-05-2023

https://doi.org/10.4081/gh.2023.1169

1306

PDF: 978

HTML: 41
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

3266

PDF: 1971

HTML: 1402
Human infections and co-infections with helminths in a rural population in Guichi, Anhui Province, China

Yi Hu, Rui Li, Michael P. Ward, Yue Chen, Henry Lynn, Decheng Wang, Gengxin Chen, Zonggui He, Liqian Sun, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang

04-11-2015

https://doi.org/10.4081/gh.2015.374

2569

PDF: 1367

HTML: 987
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

1942

PDF: 810

HTML: 83
Mapping of the environmental contamination of Toxoplasma gondii by georeferencing isolates from chickens in an endemic area in Southeast Rio de Janeiro State, Brazil

Luciana Casartelli-Alves, Maria Regina Reis Amendoeira, Viviane Cardoso Boechat, Luiz Cláudio Ferreira, João Carlos Araujo Carreira, José Leonardo Nicolau, Eloiza Paula de Freitas Trindade, Julia Novaes de Barros Peixoto, Mônica de Avelar Figueiredo Mafra Magalhães, Raquel de Vasconcellos Carvalhaes de Oliveira, TÃ¢nia Maria Pacheco Schubach, Rodrigo Caldas Menezes

18-05-2015

https://doi.org/10.4081/gh.2015.311

3539

PDF: 1549

HTML: 1519
Spatial analysis of antimicrobial resistance in the environment. A systematic review

Patrick Spets, Karin Ebert, Patrik Dinnétz

25-05-2023

https://doi.org/10.4081/gh.2023.1168

3423

PDF: 1270

Supplementary Materials: 347

HTML: 78
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

1903

PDF: 938

HTML: 103
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach

Mokhalad A. Majeed, Helmi Z. M. Shafri, Aimrun Wayayok, Zed Zulkafli

25-05-2023

https://doi.org/10.4081/gh.2023.1176

3780

PDF: 1608

Supplementary Materials: 222

HTML: 140
Spatial analysis of the AIDS mortality rate among young people in a province of the Brazilian Amazon: An ecological study

Sara Melissa Lago Sousa, Andrey Oeiras Pedroso , Iaron Leal Seabra , Glenda Roberta Oliveira Naiff Ferreira, Aline Maria Pereira Cruz Ramos , Sandra Helena Isse Polaro, Eliã Pinheiro Botelho

29-11-2022

https://doi.org/10.4081/gh.2022.1102

1225

PDF: 992

HTML: 23
Investigating spatiotemporal patterns of the COVID-19 in SÃ£o 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

4138

PDF: 1430

HTML: 34
The impact of geographic mobility on the spread of COVID-19 in Hong Kong

Paulina Pui Yun Wong, Chien-Tat Low, Poh-Chin Lai

14-02-2022

https://doi.org/10.4081/gh.2022.1022

3508

PDF: 666

HTML: 162
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

3469

PDF: 1550

HTML: 857
COVID-19: Past, present and future

Robert Bergquist

09-09-2022

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

1102

PDF: 611

HTML: 115
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

5944

PDF: 1224

Appendix: 509

HTML: 57

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