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Baseline drivers of lymphatic filariasis in Burkina Faso

Michelle C. Stanton, David H. Molyneux, Dominique Kyelem, Roland W. Bougma, Benjamin G. Koudou, Louise A. Kelly-Hope

159-173

01-11-2013

https://doi.org/10.4081/gh.2013.63

3553

PDF: 1435
The use of remotely sensed environmental data in the study of malaria

Vanessa Machault, Cécile Vignolles, François Borchi, Penelope Vounatsou, Frédéric Pages, Sébastien Briolant, Jean-Pierre Lacaux, Christophe Rogier

151-168

01-05-2011

https://doi.org/10.4081/gh.2011.167

5744

PDF: 2202
Epidemiological characteristics and determination of spatio-temporal clusters during the 2013 dengue outbreak in Chiang Mai, Thailand

Veerasak Punyapornwithaya, Chalutwan Sansamur, Arisara Charoenpanyanet

29-12-2020

https://doi.org/10.4081/gh.2020.857

1732

PDF: 798

HTML: 15
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

3419

PDF: 1485

HTML: 1511
Upscale or downscale: applications of fine scale remotely sensed data to Chagas disease in Argentina and schistosomiasis in Kenya

Uriel Kitron, Julie A. Clennon, M. Carla Cecere, Ricardo E. Gürtler, Charles H. King, Gonzalo Vazquez-Prokopec

49-58

01-11-2006

https://doi.org/10.4081/gh.2006.280

2537

PDF: 1046
Predicting risk habitats for the transmission of the small liver fluke, Dicrocoelium dendriticum to grazing ruminants

Börje Ekstam, Beatha Johansson, Patrik Dinnétz, Patrik Ellström

125-131

01-11-2011

https://doi.org/10.4081/gh.2011.164

2112

PDF: 1332
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

2283

PDF: 1123

HTML: 911
Hyperendemicity, heterogeneity and spatial overlap of leprosy and cutaneous leishmaniasis in the southern Amazon region of Brazil

Amanda Gabriela de Carvalho, João Gabriel Guimarães Luz, João Victor Leite Dias, Anuj Tiwari, Peter Steinmann, Eliane Ignotti

29-12-2020

https://doi.org/10.4081/gh.2020.892

2138

PDF: 1019

HTML: 44
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

1684

PDF: 910

Supplementary Materials: 143

HTML: 69
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. Ðšorennoy, Gulzhan N. Yessembekova, Dosym B. Ðšushubaev, Ablaikhan S. Ðšadyrov

31-05-2016

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

2442

PDF: 1274

HTML: 1292
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

1936

PDF: 600

HTML: 22
The spatial distribution of injuries in need of surgical intervention in Nepal

Shailvi Gupta, Thomas A. Groen, Barclay T. Stewart, Sunil Shrestha, David A. Spiegel, Benedict C. Nwomeh, Reinou S. Groen, Adam L. Kushner

31-05-2016

https://doi.org/10.4081/gh.2016.359

3596

PDF: 1301

HTML: 1111
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

3183

PDF: 1369

HTML: 1625
Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system

Jia-Cheng Zhang, Wen-Dong Liu, Qi Liang, Jian-Li Hu, Jessie Norris, Ying Wu, Chang-Jun Bao, Fen-Yang Tang, Peng Huang, Yang Zhao, Rong-Bin Yu, Ming-Hao Zhou, Hong-Bing Shen, Feng Chen, Zhi-Hang Peng

429-435

01-05-2014

https://doi.org/10.4081/gh.2014.31

3290

PDF: 1393
Importance of individual analysis of environmental and climatic factors affecting the density of Leishmania vectors living in the same geographical area: the example of Phlebotomus ariasi and P. perniciosus in northeast Spain

Cristina Ballart, Irene Guerrero, Xavier Castells, Sergio Baròn, Soledad Castillejo, M. Magdalena Alcover, Montserrat Portús, Montserrat Gállego

389-403

01-05-2014

https://doi.org/10.4081/gh.2014.28

3064

PDF: 1360
GIS modeling for canine dirofilariosis risk assessment in central Italy

Michele Mortarino, Vincenzo Musella, Valeria Costa, Claudio Genchi, Giuseppe Cringoli, Laura Rinaldi

253-261

01-05-2008

https://doi.org/10.4081/gh.2008.248

2246

PDF: 973
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

1266

PDF: 573

HTML: 56
Geographical information systems-based spatial analysis and implications for syphilis interventions in Jiangsu province, People's Republic of China

Yue-Jia Cheng, Jessie Norris, Chang-Jun Bao, Qi Liang, Jian-Li Hu, Ying Wu, Fen-Yang Tang, Wen-Dong Liu, Ke-Qin Ding, Yang Zhao, Zhi-Hang Peng, Rong-Bin Yu, Hua Wang, Hong-Bing Shen, Feng Chen

63-72

01-11-2012

https://doi.org/10.4081/gh.2012.105

2274

PDF: 1279
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

2792

PDF: 1217

Supplementary Materials: 194

HTML: 110
Present habitat suitability for Anopheles atroparvus (Diptera, Culicidae) and its coincidence with former malaria areas in mainland Portugal

César Capinha, Eduardo Gomes, Eusébio Reis, Jorge Rocha, Carla A. Sousa, V. E. do Rosário, A. Paulo Almeida

177-187

01-05-2009

https://doi.org/10.4081/gh.2009.219

34176

PDF: 1086
A spatial analysis of private well water Escherichia coli contamination in southern Ontario

Julia Krolik, Allison Maier, Gerald Evans, Paul Belanger, Geoffrey Hall, Alan Joyce, Anna Majury

65-75

01-11-2013

https://doi.org/10.4081/gh.2013.55

2437

PDF: 1325
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

1766

PDF: 1107
A geospatial risk assessment model for leprosy in Ethiopia based on environmental thermal-hydrological regime analysis

Azeb Tadesse Argaw, E.J. Shannon, Abraham Assefa, Fekade Silassie Mikru, Berhane Kidane Mariam, John B. Malone

105-113

01-11-2006

https://doi.org/10.4081/gh.2006.285

2495

PDF: 1055
Incidence of visceral leishmaniasis in the Vaishali district of Bihar, India: spatial patterns and role of inland water bodies

Gouri Sankar Bhunia, Shreekant Kesari, Nandini Chatterjee, Dilip Kumar Pal, Vijay Kumar, Alok Ranjan, Pradeep Das

205-215

01-05-2011

https://doi.org/10.4081/gh.2011.173

1944

PDF: 1167
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

3014

PDF: 1519
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

1779

PDF: 899

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

2037

PDF: 1024

HTML: 158
Prioritizing the location of vaccination centres during the COVID-19 pandemic by bike in the Netherlands

Adel Al-Huraibi, Sherif Amer, Justine Blanford

03-03-2025

https://doi.org/10.4081/gh.2025.1293

2185

PDF: 715

HTML: 84
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

2063

PDF: 890

Supplementary Materials: 157

HTML: 60
Residential mobility impacts relative risk estimates of space-time clusters of chlamydia in Kalamazoo County, Michigan

Claudio Owusu, Michael R. Desjardins, Kathleen M. Baker, Eric Delmelle

06-11-2019

https://doi.org/10.4081/gh.2019.812

1951

PDF: 1021

HTML: 39
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

3323

PDF: 1446

HTML: 849
Monitoring techniques in the capture and adoption of dogs and cats

Jason Onell Ardila Galvis, Oswaldo Santos Baquero, Ricardo Augusto Dias, Fernando Ferreira, Evelyn Nestori Chiozzotto, José Henrique Hildebrand Grisi-Filho

04-11-2015

https://doi.org/10.4081/gh.2015.339

4228

PDF: 1870

HTML: 1486
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

1917

PDF: 722

HTML: 98
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

2461

PDF: 803

Appendix: 308

HTML: 116
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

2711

PDF: 1664

HTML: 207
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

2746

PDF: 634

HTML: 31
A spatiotemporal analysis of the impact of the COVID-19 outbreak on noise pollution in Tehran, Iran

Omid Reza Abbasi, Yasser Ebrahimian Ghajari , Ali Asghar Alesheikh

29-11-2022

https://doi.org/10.4081/gh.2022.1114

905

PDF: 819

HTML: 16
Intestinal schistosomiasis and soil-transmitted helminthiasis in Ugandan schoolchildren: a rapid mapping assessment

Claire J. Standley, Moses Adriko, Moses Alinaitwe, Francis Kazibwe, Narcis B. Kabatereine, J. Russell Stothard

39-53

01-11-2009

https://doi.org/10.4081/gh.2009.209

2933

PDF: 1253
Comparison of complete and spatial sampling frames for estimation of the prevalence of hypertension and diabetes mellitus

Vasna Joshua, Kamaraj Pattabi, Yuvaraj Jeyaraman, Prabhdeep Kaur, Tarun Bhatnagar, Suresh Arunachalam, Sabarinathan Ramasamy, Venkateshprabhu Janagaraj, Manoj V Murhekar

30-11-2022

https://doi.org/10.4081/gh.2022.1097

2297

PDF: 936

HTML: 119
SandflyMap: leveraging spatial data on sand fly vector distribution for disease risk assessments

Desmond H. Foley, Richard C. Wilkerson, L. Lynnette Dornak, David B. Pecor, Arpad S. Nyari, Leopoldo M. Rueda, Lewis S. Long, Jason H. Richardson

S25-S30

01-09-2012

https://doi.org/10.4081/gh.2012.119

2392

PDF: 1101
Using climate information for improved health in Africa: relevance, constraints and opportunities

Stephen J. Connor, Pietro Ceccato, Tufa Dinku, Judy Omumbo, Emily K. Grover-Kopec, Madeleine C. Thomson

17-31

01-11-2006

https://doi.org/10.4081/gh.2006.278

1490

PDF: 860
Improving the accuracy of livestock distribution estimates through spatial interpolation

Ward Bryssinckx, Els Ducheyne, Bernard Muhwezi, Sunday Godfrey, Koen Mintiens, Herwig Leirs, Guy Hendrickx

101-109

01-11-2012

https://doi.org/10.4081/gh.2012.109

1434

PDF: 1003
Accounting for autocorrelation in multi-drug resistant tuberculosis predictors using a set of parsimonious orthogonal eigenvectors aggregated in geographic space

Benjamin G. Jacob, Fiorella Krapp, Mario Ponce, Eduardo Gotuzzo, Daniel A. Griffith, Robert J. Novak

201-217

01-05-2010

https://doi.org/10.4081/gh.2010.201

1762

PDF: 1043
Ecological study and risk mapping of leishmaniasis in an endemic area of Brazil based on a geographical information systems approach

Alba Valéria Machado da Silva, Monica de Avelar Figueiredo Mafra Magalhães, Reginaldo Peçanha Brazil, João Carlos Araujo Carreira

33-40

01-11-2011

https://doi.org/10.4081/gh.2011.155

1794

PDF: 1029
Optimizing denominator data estimation through a multimodel approach

Ward Bryssinckx, Els Ducheyne, Veerle Versteirt, Herwig Leirs, Guy Hendrickx

573-582

01-05-2014

https://doi.org/10.4081/gh.2014.47

1208

PDF: 1084
Predicting transmission of pulmonary tuberculosis in Daerah Istimewa Yogyakarta Province, Indonesia

Al Asyary, Aries Prasetyo, Tris Eryando, Yodi Mahendradhata

14-05-2019

https://doi.org/10.4081/gh.2019.673

2318

PDF: 1278

APPENDIX: 332

HTML: 37
Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study

Heng-Qian Huang-fu, Nan Zhang, Li Wang, Hui-Juan Liang, Ben-Song Xian, Xiao-Fang Gan, Yingsi Lai

20-12-2024

https://doi.org/10.4081/gh.2024.1322

1610

PDF: 535

Supplementary Materials: 153

HTML: 31
Seasonality and timing of peak abundance of Aedes albopictus in Europe: Implications to public and animal health

Mina Petrić, Els Ducheyne, Céline M. Gossner, Cedric Marsboom, GaÃ«lle Nicolas, Roger Venail, Guy Hendrickx, Francis Schaffner

14-05-2021

https://doi.org/10.4081/gh.2021.996

4566

PDF: 1334

HTML: 115
Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach

Sami Ullah, Hanita Daud, Sarat C. Dass, Habib Nawaz Khan, Alamgir Khalil

06-11-2017

https://doi.org/10.4081/gh.2017.567

2946

PDF: 1117

HTML: 708
Dynamic location model for designated COVID-19 hospitals in China

Wang Fei, Yuan Linghong, Zhang Weigang, Zhang Ruihan

29-10-2024

https://doi.org/10.4081/gh.2024.1310

1135

PDF: 386

Supplementary Materials: 270

HTML: 72
A post-pandemic analysis of air pollution over small-sized urban areas in southern Thailand following the COVID-19 lockdown

Dimitris Stratoulias, Beomgeun Jang, Narissara Nuthammachot

07-07-2025

https://doi.org/10.4081/gh.2025.1354

1004

PDF: 406

Supplementary Materials: 92

HTML: 52
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

2345

PDF: 422

HTML: 46
The dog and cat population on Maio Island, Cape Verde: characterisation and prediction based on household survey and remotely sensed imagery

Ana Carolina Lopes Antunes, Els Ducheyne, Ward Bryssinckx, Sara Vieira, Manuel Malta, Yolanda Vaz, Telmo Nunes, Koen Mintiens

04-11-2015

https://doi.org/10.4081/gh.2015.386

3243

PDF: 1149

HTML: 1227
Do contrasting patterns of migration movements and disease outbreaks between congeneric waterfowl species reflect differing immunity?

Shenglai Yin, Yanjie Xu, Nyambyar Batbayar, John Y. Takekawa, Yali Si, Diann J. Prosser, Scott H. Newman, Herbert H.T. Prins, Willem F. de Boer

11-05-2021

https://doi.org/10.4081/gh.2021.909

1782

PDF: 905

HTML: 52

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