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Application of geo-spatial technology in schistosomiasis modelling in Africa: a review

Tawanda Manyangadze, Moses John Chimbari, Michael Gebreslasie, Samson Mukaratirwa

04-11-2015

https://doi.org/10.4081/gh.2015.326

4043

PDF: 2134

HTML: 2152
Assessing effects of structural zeros on models of canine cancer incidence: a case study of the Swiss Canine Cancer Registry

Gianluca Boo, Stefan Leyk, Sara Irina Fabrikant, Andreas Pospischil, Ramona Graf

11-05-2017

https://doi.org/10.4081/gh.2017.539

3268

PDF: 1067

HTML: 816
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

5890

PDF: 2394

HTML: 3071
Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models

Xavier Barber, David Conesa, Silvia Lladosa, Antonio Lòpez-Quílez

18-04-2016

https://doi.org/10.4081/gh.2016.415

3381

PDF: 1669

HTML: 2223
Comparison of single- and multi-scale models for the prediction of the Culicoides biting midge distribution in Germany

Renke Lühken, Jörn Martin Gethmann, Petra Kranz, Pia Steffenhagen, Christoph Staubach, Franz J. Conraths, Ellen Kiel

31-05-2016

https://doi.org/10.4081/gh.2016.405

3111

PDF: 976

HTML: 1457
Spatial air pollution modelling for a West-African town

Sirak Zenebe Gebreab, Danielle Vienneau, Christian Feigenwinter, HampÃ¢té BÃ¢, Guéladio Cissé, Ming-Yi Tsai

26-11-2015

https://doi.org/10.4081/gh.2015.321

3502

PDF: 1441

SUPPL. MATERIAL: 403

HTML: 1078
Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa

Thandi Kapwata, Michael T. Gebreslasie

16-11-2016

https://doi.org/10.4081/gh.2016.434

3845

PDF: 1558

APPENDIX 1: 423

APPENDIX 2: 414

HTML: 1639
Predicting the spatial distribution of Biomphalaria straminea, a potential intermediate host for Schistosoma mansoni, in China

Mohamed R. Habib, Yun-Hai Guo, Shan Lv, Wen-Biao Gu, Xiao-Heng Li, Xiao-Nong Zhou

29-11-2016

https://doi.org/10.4081/gh.2016.453

3726

PDF: 1323

HTML: 1132
Validation of a spatial liver fluke model under field conditions in Ireland

Amalia Naranjo Lucena, María Pía Munita Corbalán, Ana María Martínez-Ibeas, Guy McGrath, Riona Sayers, Grace Mulcahy, Annetta Zintl

07-05-2018

https://doi.org/10.4081/gh.2018.641

2151

PDF: 923

HTML: 127
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

4145

PDF: 1129

HTML: 1197
Assessing the effects of air temperature and rainfall on malaria incidence: an epidemiological study across Rwanda and Uganda

Felipe J. Colòn-González, Adrian M. Tompkins, Riccardo Biondi, Jean Pierre Bizimana, Didacus Bambaiha Namanya

31-03-2016

https://doi.org/10.4081/gh.2016.379

5947

PDF: 2129

Appendix: 556

HTML: 3240

Appendix: 207
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

2132

PDF: 952

HTML: 1002
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

3452

PDF: 1460

HTML: 1178
Projecting malaria hazard from climate change in eastern Africa using large ensembles to estimate uncertainty

Joseph Leedale, Adrian M. Tompkins, Cyril Caminade, Anne E. Jones, Grigory Nikulin, Andrew P. Morse

31-03-2016

https://doi.org/10.4081/gh.2016.393

4068

PDF: 1625

HTML: 2543
A dynamic, climate-driven model of Rift Valley fever

Joseph Leedale, Anne E. Jones, Cyril Caminade, Andrew P. Morse

31-03-2016

https://doi.org/10.4081/gh.2016.394

4258

PDF: 1664

Appendix: 497

HTML: 1577
Comparison of the spatial patterns of schistosomiasis in Zimbabwe at two points in time, spaced twenty-nine years apart: is climate variability of importance?

Ulrik B. Pedersen, Dimitrios-Alexios Karagiannis-Voules, Nicholas Midzi, Tkafira Mduluza, Samson Mukaratirwa, Rasmus Fensholt, Birgitte J. Vennervald, Thomas K. Kristensen, Penelope Vounatsou, Anna-Sofie Stensgaard

08-05-2017

https://doi.org/10.4081/gh.2017.505

3103

PDF: 1405

HTML: 1025
Interpreting predictive maps of disease: highlighting the pitfalls of distribution models in epidemiology

Nicola A. Wardrop, Matthew Geary, Patrick E. Osborne, Peter M. Atkinson

237-246

01-11-2014

https://doi.org/10.4081/gh.2014.397

2121

PDF: 946
Geostatistical integration and uncertainty in pollutant concentration surface under preferential sampling

Laura Grisotto, Dario Consonni, Lorenzo Cecconi, Dolores Catelan, Corrado Lagazio, Pier Alberto Bertazzi, Michela Baccini, Annibale Biggeri

18-04-2016

https://doi.org/10.4081/gh.2016.426

2133

PDF: 1553

HTML: 1139
Climate change and species distribution: possible scenarios for thermophilic ticks in Romania

Cristian DomÈ™a, Attila D. Sándor, Andrei D. Mihalca

31-05-2016

https://doi.org/10.4081/gh.2016.421

2754

PDF: 1267

HTML: 1673
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. Ðšushubaev, Ablaikhan S. ÐšÐ°dyrov

31-05-2016

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

2577

PDF: 1153

APPENDIX: 596

HTML: 1441
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

531

PDF: 118

HTML: 6
Preferential sampling in veterinary parasitological surveillance

Lorenzo Cecconi, Annibale Biggeri, Laura Grisotto, Veronica Berrocal, Laura Rinaldi, Vincenzo Musella, Giuseppe Cringoli, Dolores Catelan

18-04-2016

https://doi.org/10.4081/gh.2016.412

1977

PDF: 1467

APPENDIX: 541

HTML: 1032
Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes

Verónica Andreo, Juan Rosa, Karina Ramos, O. Daniel Salomón

06-05-2022

https://doi.org/10.4081/gh.2022.1033

1496

PDF: 711

Appendix: 113

HTML: 30
Modelling of the distribution of Biomphalaria glabrata and Biomphalaria straminea in the metropolitan region of Recife, Pernambuco, Brazil

Verônica Santos Barbosa, Ricardo José de Paula Souza e Guimarães, Rodrigo Moraes Loyo, Constança SimÃµes Barbosa

25-11-2016

https://doi.org/10.4081/gh.2016.490

2754

PDF: 1120

HTML: 1599
The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure

Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani

04-06-2025

https://doi.org/10.4081/gh.2025.1386

816

PDF: 189

HTML: 0
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

4186

PDF: 1075

HTML: 253
Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme

Manuel O. Espinosa, Francisco Polop, Camilo H. Rotela, Marcelo Abril, Carlos M. Scavuzzo

21-11-2016

https://doi.org/10.4081/gh.2016.471

3680

PDF: 1312

APPENDIX: 490

HTML: 1533
Understanding the spatial non-stationarity in the relationships between malaria incidence and environmental risk factors using Geographically Weighted Random Forest: A case study in Rwanda

Gilbert Nduwayezu, Pengxiang Zhao, Clarisse Kagoyire, Lina Eklund, Jean Pierre Bizimana, Petter Pilesjo, Ali Mansourian

25-05-2023

https://doi.org/10.4081/gh.2023.1184

2242

PDF: 1237

HTML: 136
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

3795

PDF: 1334

HTML: 1054
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

3365

PDF: 1503

HTML: 1100
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

5139

PDF: 2336

HTML: 1979
Environmental modelling of visceral leishmaniasis by susceptibility-mapping using neural networks: a case study in north-western Iran

Mohammadreza Rajabi, Ali Mansourian, Petter Pilesjö, Ahad Bazmani

179-191

01-11-2014

https://doi.org/10.4081/gh.2014.15

7099

PDF: 1414
From Snow’s map of cholera transmission to dynamic catchment boundary delineation: current front lines in spatial analysis

Behzad Kiani, Colleen Lau, Robert Bergquist

26-10-2023

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

1411

PDF: 648

HTML: 22
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

1684

PDF: 314

HTML: 72
Spatial distribution and sociodemographic risk factors of malaria in Nigerian children less than 5 years old

Chigozie Louisa J. Ugwu, Temesgen Zewotir

29-12-2020

https://doi.org/10.4081/gh.2020.819

3290

PDF: 1586

HTML: 624
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

1100

PDF: 432

HTML: 10
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

03-07-2023

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

1756

PDF: 697

Supplementary Materials: 88

HTML: 37
The spatial distribution of Schistosoma mansoni infection in four regions of western Côte d'Ivoire

Rufin K. Assaré, Ying-Si Lai, Ahoua Yapi, Yves-Nathan T. Tian-Bi, Mamadou Ouattara, Patrick K. Yao, Stefanie Knopp, Penelope Vounatsou, Jürg Utzinger, Eliézer K. N'Goran

03-06-2015

https://doi.org/10.4081/gh.2015.345

3910

PDF: 1636

HTML: 1231
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

334

PDF: 118

HTML: 6
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

1522

PDF: 493

HTML: 95
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

1756

PDF: 850

Supplementary Materials: 118

HTML: 39
Environmental and socio-economic risk modelling for Chagas disease in Bolivia

Paula Mischler, Michael Kearney, Jennifer C. McCarroll, Ronaldo G.C. Scholte, Penelope Vounatsou, John B. Malone

S59-S66

01-09-2012

https://doi.org/10.4081/gh.2012.123

3459

PDF: 1172
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

5144

PDF: 1849
FleaTickRisk: a meteorological model developed to monitor and predict the activity and density of three tick species and the cat flea in Europe

Frédéric Beugnet, Karine Chalvet-Monfray, Harilaos Loukos

97-113

01-11-2009

https://doi.org/10.4081/gh.2009.213

2591

PDF: 1011
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

1245

PDF: 374

HTML: 32
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

1624

PDF: 791

HTML: 158
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

2352

PDF: 764

HTML: 101
Spatial and temporal dynamic analysis of rabies: A review of current methodologies

Shuaicheng Chen

30-11-2022

https://doi.org/10.4081/gh.2022.1139

2132

PDF: 1340

HTML: 250
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

2467

PDF: 810

HTML: 726
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

1218

PDF: 406

HTML: 26
Assessing the relationship between environmental factors and malaria vector breeding sites in Swaziland using multi-scale remotely sensed data

Sabelo Nick Dlamini, Jonas Franke, Penelope Vounatsou

03-06-2015

https://doi.org/10.4081/gh.2015.302

3940

PDF: 1621

HTML: 1739
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

2563

PDF: 1040

HTML: 1096
Estimating malaria burden in Nigeria: a geostatistical modelling approach

Nnadozie Onyiri

04-11-2015

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

7031

PDF: 2890

HTML: 3249
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

3515

PDF: 1856
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

3152

PDF: 1202

HTML: 850
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

4184

PDF: 1204
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

2291

PDF: 1029
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

3116

PDF: 1231

HTML: 842
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

927

PDF: 417

HTML: 48
Spatial prediction of the risk of exposure to Echinococcus spp. among schoolchildren and dogs in Ningxia Hui Autonomous Region, People's Republic of China

Angela M. Cadavid Restrepo, Yu Rong Yang, Donald P. McManus, Darren J. Gray, Tamsin S. Barnes, Gail M. Williams, Ricardo J. Soares Magalhães, Archie C.A. Clements

07-05-2018

https://doi.org/10.4081/gh.2018.644

1945

PDF: 803

HTML: 80
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

1026

PDF: 443

HTML: 222
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

2535

PDF: 1144

HTML: 211
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

8767

PDF: 1584
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

1533

PDF: 950
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

2516

PDF: 900
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

2755

PDF: 1360
Systematic errors in temperature estimates from MODIS data covering the western Palearctic and their impact on a parasite development model

Jorge Alonso-Carné, Alberto García-Martín, Agustin Estrada-Peña

1-12

01-11-2013

https://doi.org/10.4081/gh.2013.49

1259

PDF: 716
Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil

Moara de Santana Martins Rodgers, Elivelton Fonseca, Prixia del Mar Nieto, John B. Malone, Jeffery C. Luvall, Jennifer C. McCarroll, Ryan Harry Avery, Maria Emilia Bavia, Raul Guimaraes, Xue Wen, Marta Mariana Nascimento Silva, Deborah D.M.T. Carneiro, Luciana Lobato Cardim

08-06-2022

https://doi.org/10.4081/gh.2022.1095

1356

PDF: 789

HTML: 49
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

1644

PDF: 512

HTML: 84
Role of malnutrition and parasite infections in the spatial variation in children's anaemia risk in northern Angola

Ricardo J. Soares Magalhães, Antonio Langa, João Mário Pedro, José Carlos Sousa-Figueiredo, Archie C.A. Clements, Susana Vaz Nery

341-354

01-05-2013

https://doi.org/10.4081/gh.2013.91

3800

PDF: 1775
A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment

Jerry Enoe , Michael Sutherland, Dexter Davis, Bheshem Ramlal, Charisse Griffith-Charles , Keston H. Bhola, Elsai Mati Asefa

28-03-2024

https://doi.org/10.4081/gh.2024.1264

2490

PDF: 625

HTML: 62
Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis

Maria Camila Lesmes , Alvaro Ávila-Díaz, Erika Santamaría, Carlos Andrés Morales , Horacio Cadena, Patricia Fuya, Nicolas Frutos, Ximena Porcasi, Catalina Marceló-Díaz

04-06-2025

https://doi.org/10.4081/gh.2025.1292

710

PDF: 204

HTML: 6
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

801

PDF: 695

HTML: 14
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

1035

PDF: 560

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

1461

PDF: 444

HTML: 35
Dynamic risk model for Rift Valley fever outbreaks in Kenya based on climate and disease outbreak data

David Gikungu, Jacob Wakhungu, Donald Siamba, Edward Neyole, Richard Muita, Bernard Bett

31-05-2016

https://doi.org/10.4081/gh.2016.377

2969

PDF: 1292

HTML: 1426
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

1467

PDF: 428

HTML: 20
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

4879

PDF: 2275

HTML: 736
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

2413

PDF: 1227

HTML: 1025
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

2353

PDF: 394

HTML: 44
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

694

PDF: 476

HTML: 16
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

2459

PDF: 865

HTML: 50
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

7002

PDF: 1790

HTML: 2098
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

2903

PDF: 812

HTML: 863
Local landscape effects on population dynamics of Ixodes ricinus

Naveed Asghar, Mona Petersson, Magnus Johansson, Patrik Dinnetz

21-11-2016

https://doi.org/10.4081/gh.2016.487

3141

PDF: 1212

HTML: 833
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

2232

PDF: 900

APPENDIX: 397

HTML: 104
Evaluation and control strategy analysis of influenza cases in Jiujiang City, Jiangxi Province, China from 2018 to 2022

Zhang Zeng, Huomei Xiong

09-10-2024

https://doi.org/10.4081/gh.2024.1294

692

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