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Risk mapping and estimation of COVID-19 transmission in South Sulawesi, Indonesia by a self-identification survey

Andang Suryana Soma, Andi Alfian Zainuddin, Shanti Riskiyani, Nurhaya Nurdin, Muhammad Firdaus Kasim, Joko Hendarto, Masriadi

18-03-2022

https://doi.org/10.4081/gh.2022.1034

1856

PDF: 421

HTML: 41
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

716

PDF: 320

HTML: 73
Modelling and analyzing spatial clusters of leptospirosis based on satellite-generated measurements of environmental factors in Thailand during 2013-2015

Amornrat Luenam, Nattapong Puttanapong

26-11-2020

https://doi.org/10.4081/gh.2020.856

3065

PDF: 1039

HTML: 68
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

1081

PDF: 587

HTML: 53
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

3534

PDF: 2057

HTML: 1261
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

3536

PDF: 814

HTML: 718
Temporal and spatial analyses of colorectal cancer incidence in Yogyakarta, Indonesia: a cross-sectional study

Juan Adrian Wiranata, Herindita Puspitaningtyas, Susanna Hilda Hutajulu, Jajah Fachiroh, Nungki Anggorowati, Guardian Yoki Sanjaya, Lutfan Lazuardi, Patumrat Sripan

25-05-2023

https://doi.org/10.4081/gh.2023.1186

1435

PDF: 828

HTML: 37
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

3829

PDF: 1850

HTML: 451
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

259

PDF: 172

HTML: 3
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

3405

PDF: 1139

HTML: 1415
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

2057

PDF: 974

HTML: 903
The relative risk of spatial cluster occurrence and spatiotemporal evolution of meningococcal disease in Niger, 2002-2008

Halima B. MaÃ¯nassara, Nicolas Molinari, Christophe DematteÃ¯, Pascale Fabbro-Peray

93-101

01-11-2010

https://doi.org/10.4081/gh.2010.190

1222

PDF: 891
Spatial clustering of colorectal cancer in Malaysia

Sharifah Saffinas Syed Soffian, Azmawati Mohammed Nawi, Rozita Hod, Khairul Nizam Abdul Maulud, Ahmad Tarmizi Mohd Azmi, Mohd Hazrin Hasim Hashim, Huan-Keat Chan, Muhammad Radzi Abu Hassan

25-05-2023

https://doi.org/10.4081/gh.2023.1158

1352

PDF: 615

HTML: 10
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

3386

PDF: 1529

HTML: 1100
Spatio-temporal analysis of the progression of Aujeszky's disease virus infection in wild boar of Saxony-Anhalt, Germany

Nicolai Denzin, Joachim Borgwardt, Conrad Freuling, Thomas Müller

203-213

01-11-2013

https://doi.org/10.4081/gh.2013.67

1881

PDF: 971
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

2322

PDF: 492

HTML: 19
Modeling spatio-temporal risk changes in the incidence of dengue fever in Saudi Arabia: a geographical information system case study

Hassan M. Khormi, Lalit Kumar, Ramze A. Elzahrany

77-84

01-11-2011

https://doi.org/10.4081/gh.2011.159

2612

PDF: 1282
Addressing operational challenges of combatting malaria in a remote forest area of Vietnam using spatial decision support system approaches

Thang Duc Ngo, Sara E. Canavati, Ha Son Dinh, Thinh Duc Ngo, Duong T. Tran, Nicholas J. Martin, Gerard C. Kelly

06-11-2019

https://doi.org/10.4081/gh.2019.770

1861

PDF: 781

APPENDIX: 238

HTML: 54
Developing operational algorithms using linear and non-linear squares estimation in Python® for the identification of Culex pipiens and Culex restuans in a mosquito abatement district (Cook County, Illinois, USA)

Benjamin G. Jacob, Weidong Gu, Erik X. Caamano, Robert J. Novak

157-176

01-05-2009

https://doi.org/10.4081/gh.2009.218

1399

PDF: 894
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

2385

PDF: 790

HTML: 105
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

1637

PDF: 833

HTML: 158
Mapping and predicting malaria transmission in the People's Republic of China, using integrated biology-driven and statistical models

Guo-Jing Yang, Qi Gao, Shui-Sen Zhou, John B. Malone, Jennifer C. McCarroll, Marcel Tanner, Penelope Vounatsou, Robert Bergquist, Jürg Utzinger, Xiao-Nong Zhou

11-22

01-11-2010

https://doi.org/10.4081/gh.2010.183

2919

PDF: 1392
Development of a web-geographical information system application for plotting tuberculosis cases

Nur Adibah Mohidem, Malina Osman, Farrah Melissa Muharam, Saliza Mohd Elias, Rafiza Shaharudin, Zailina Hashim

19-10-2021

https://doi.org/10.4081/gh.2021.980

1616

PDF: 846

HTML: 159
Spatial epidemiology of cancer: a review of data sources, methods and risk factors

Rita Roquette, Marco Painho, Baltazar Nunes

08-05-2017

https://doi.org/10.4081/gh.2017.504

7659

PDF: 3151

HTML: 2656
Schistosoma japonicum risk in Jiangsu province, People's Republic of China: identification of a spatio-temporal risk pattern along the Yangtze River

Kun Yang, Le-Ping Sun, You-Sheng Liang, Feng Wu, Wei Li, Jian-Feng Zhang, Yi-Xin Huang, De-Rong Hang, Song Liang, Robert Bergquist, Xiao-Nong Zhou

133-142

01-11-2013

https://doi.org/10.4081/gh.2013.61

2528

PDF: 986
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

2243

PDF: 949
Detection of high risk campylobacteriosis clusters at three geographic levels

Jennifer Weisent, Barton Rohrbach, John R. Dunn, Agricola Odoi

65-76

01-11-2011

https://doi.org/10.4081/gh.2011.158

1634

PDF: 755
Virtual globes and geospatial health: the potential of new tools in the management and control of vector-borne diseases

Anna-Sofie Stensgaard, Christopher F.L. Saarnak, Jürg Utzinger, Penelope Vounatsou, Christopher Simoonga, Gabriel Mushinge, Carsten Rahbek, Flemming MÃ¸hlenberg, Thomas K. Kristensen

127-141

01-05-2009

https://doi.org/10.4081/gh.2009.216

2032

PDF: 1658
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

1276

PDF: 551

HTML: 97
Common errors in disease mapping

Ricardo Ocaña-Riola

139-154

01-05-2010

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

3239

PDF: 1094
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

5955

PDF: 574

Supplementary Materials: 185

HTML: 91
A spatial, statistical approach to map the risk of milk contamination by β-hexachlorocyclohexane in dairy farms

Sabrina Battisti, Antonino Caminiti, Giancarlo Ciotoli, Valentina Panetta, Pasquale Rombolá, Marcello Sala, Alessandro Ubaldi, Paola Scaramozzino

77-86

01-11-2013

https://doi.org/10.4081/gh.2013.56

1959

PDF: 1075
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

1345

PDF: 706

Appendix: 121

HTML: 57
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

1032

PDF: 282

Supplementary Materials: 79

HTML: 11
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

2499

PDF: 977

HTML: 53
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

10157

PDF: 3561
Geospatial (s)tools: integration of advanced epidemiological sampling and novel diagnostics

Giuseppe Cringoli, Laura Rinaldi, Marco Albonico, Robert Bergquist, Jürg Utzinger

399-404

01-05-2013

https://doi.org/10.4081/gh.2013.97

4023

PDF: 1527
Spatial distribution of triatomines (Reduviidae: Triatominae) in urban areas of the city of Salvador, Bahia, Brazil

Karine de Souza O. Santana, Maria Emília Bavia, Artur Dias Lima, Isabel Cristina S. Guimarães, Ênio Silva Soares, Marta Mariana Nascimento Silva, Jorge Mendonça, Moara de Santana Martin

199-203

01-05-2011

https://doi.org/10.4081/gh.2011.172

1997

PDF: 903
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

2352

PDF: 1300

HTML: 147
Spatiotemporal mapping and detection of mortality cluster due to cardiovascular disease with Bayesian hierarchical framework using integrated nested Laplace approximation: A discussion of suitable statistic applications in Kersa, Oromia, Ethiopia

Melkamu Dedefo, Henry Mwambi, Sileshi Fanta, Nega Assefa

12-11-2018

https://doi.org/10.4081/gh.2018.681

1922

PDF: 1064

HTML: 197
The acquired immunodeficiency syndrome in the State of Rio de Janeiro, Brazil: a spatio-temporal analysis of cases reported in the period 2001-2010

André T. J. Alves, Flávio F. Nobre

437-443

01-05-2014

https://doi.org/10.4081/gh.2014.32

1698

PDF: 909
Identifying areas of Australia at risk for H5N1 avian influenza infection from exposure to nomadic waterfowl moving throughout the Australo-Papuan region

Iain J. East, Samuel A. Hamilton, Louise A. Sharp, Michael G. Garner

17-27

01-11-2008

https://doi.org/10.4081/gh.2008.228

1481

PDF: 1555
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

2924

PDF: 848

HTML: 864
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

2996

PDF: 1032

HTML: 1208
Contacts between poultry farms, their spatial dimension and their relevance for avian influenza preparedness

Lena Fiebig, Timo Smieszek, Jennifer Saurina, Jan Hattendorf, Jakob Zinsstag

79-95

01-11-2009

https://doi.org/10.4081/gh.2009.212

1765

PDF: 820
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

4191

PDF: 1152

HTML: 1197
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

1313

PDF: 629

HTML: 42
Geospatial tools for the identification of a malaria corridor in Estado Sucre, a Venezuelan north-eastern state

Laura Delgado-Petrocelli, Alberto Camardiel, Víctor Hugo Aguilar, Néstor Martinez, Karenia Còrdova, Santiago Ramos

169-176

01-05-2011

https://doi.org/10.4081/gh.2011.168

2306

PDF: 875
Epidemiological aspects and spatial distribution of human and canine visceral leishmaniasis in an endemic area in northeastern Brazil

Roseane Campos, Márcio Santos, Gabriel Tunon, Luana Cunha, Lucas Magalhães, Juliana Moraes, Danielle Ramalho, Sanmy Lima, José Antônio Pacheco, Michael Lipscomb, Amélia Ribeiro de Jesus, Roque Pacheco de Almeida

11-05-2017

https://doi.org/10.4081/gh.2017.503

4973

PDF: 1964

HTML: 1138
Can landscape metrics help determine the Culicoides imicola distribution in Italy?

Carla Ippoliti, Marius Gilbert, Sabine Vanhuysse, Maria Goffredo, Giuseppe Satta, Eléonore Wolff, Annamaria Conte

267-277

01-11-2013

https://doi.org/10.4081/gh.2013.72

1682

PDF: 856
Identifying areas of Australia at risk of H5N1 avian influenza infection from exposure to migratory birds: a spatial analysis

Iain J. East, Samuel Hamilton, Graeme Garner

203-213

01-05-2008

https://doi.org/10.4081/gh.2008.244

1730

PDF: 1075
Measuring geographic access to emergency obstetric care: a comparison of travel time estimates modelled using Google Maps Directions API and AccessMod in three Nigerian conurbations

Peter M. Macharia, Kerry L.M. Wong, Lenka Beňová, Jia Wang, Prestige Tatenda Makanga, Nicolas Ray, Aduragbemi Banke-Thomas

27-05-2024

https://doi.org/10.4081/gh.2024.1266

2206

PDF: 702

Supplementary Materials: 109

HTML: 196
Space-time cluster analysis of anemia in pregnant women in the province of Khyber Pakhtunkhwa, Pakistan (2014-2020)

Sami Ullah, SM Aqil Burney, Tariq Rasheed, Shamaila Burney, Mushtaq Ahmad Khan Barakzia

05-10-2023

https://doi.org/10.4081/gh.2023.1192

1019

PDF: 605

HTML: 21
Spatio-temporal dynamics of global H5N1 outbreaks match bird migration patterns

Yali Si, Andrew K. Skidmore, Tiejun Wang, Willem F. de Boer, Pravesh Debba, Albert G. Toxopeus, Lin Li, Herbert H.T. Prins

65-78

01-11-2009

https://doi.org/10.4081/gh.2009.211

5362

PDF: 1382
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

1629

PDF: 645

HTML: 21
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

3760

PDF: 1372

HTML: 1132
A multifaceted comparison of ArcGIS and MapMarker for automated geocoding

Sanjaya Kumar, Ming Liu, Syni-An Hwang

145-151

01-11-2012

https://doi.org/10.4081/gh.2012.113

2298

PDF: 1075
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

1789

PDF: 1012
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

2717

PDF: 344

Appendix: 363

HTML: 31
Risk areas for hepatitis A, B and C in the municipality of MaringÃ¡, ParanÃ¡ State, Brazil 2007-2010

Valéria Miranda Avanzi, Udelysses Janete Veltrini Fonzar, Eraldo Schunk Silva, Jorge Juarez Vieira Teixeira, Dennis Armando Bertolini

08-05-2018

https://doi.org/10.4081/gh.2018.607

1849

PDF: 718

HTML: 128
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

4316

PDF: 1703

Appendix: 509

HTML: 1579
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

1967

PDF: 884
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

1772

PDF: 334

HTML: 73
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

2733

PDF: 1161
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

1926

PDF: 1246

HTML: 110
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

2559

PDF: 1182

HTML: 211
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

2752

PDF: 870

HTML: 813
Analysis of the El Niño/La Niña-Southern Oscillation variability and malaria in the Estado Sucre, Venezuela

Laura Delgado-Petrocelli, Karenia Còrdova, Alberto Camardiel, Víctor H. Aguilar, Denise Hernández, Santiago Ramos

S51-S57

01-09-2012

https://doi.org/10.4081/gh.2012.122

2497

PDF: 978
The impact of COVID-19 on healthcare coverage and access in racial and ethnic minority populations in the United States

Lauren Freelander, David S. Rickless, Corey Anderson, Frank Curriero, Sarah Rockhill, Amir Mirsajedin, Caleb J. Colón, Jasmine Lusane, Alexander Vigo-Valentín, David Wong

27-12-2023

https://doi.org/10.4081/gh.2023.1222

3154

PDF: 930

HTML: 61
Simulation of the spatial distribution of urban populations based on first-aid call data

Yinan Zhou, Qin Zhong Zhu, Li Luo

29-12-2020

https://doi.org/10.4081/gh.2020.768

1393

PDF: 540

HTML: 14
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

1282

PDF: 575

HTML: 95
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

2404

PDF: 421

HTML: 44
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

2688

PDF: 1270

HTML: 1046
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

2845

PDF: 1004

HTML: 34
Spatial analysis of the regional variation of reproductive tract infections and spousal migration correlates in Nepal

Derek C. Johnson, Pema Lhaki, Charlotte Buehler Cherry, Mirjam-Colette Kempf, Eric Chamot, Sten H. Vermund, Sadeep Shrestha

30-05-2017

https://doi.org/10.4081/gh.2017.513

2263

PDF: 1044

HTML: 897
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

1856

PDF: 641

HTML: 149
Geographic distribution of canine heartworm (Dirofilaria immitis) infection in stray dogs of eastern Romania

Lavinia CiucÄƒ, Vincenzo Musella, Liviu D. Miron, Maria Paola Maurelli, Giuseppe Cringoli, Antonio Bosco, Laura Rinaldi

21-11-2016

https://doi.org/10.4081/gh.2016.499

4215

PDF: 1549

HTML: 2251
Asthmatic symptoms and air pollution: a panel study on children living in the Italian Po Valley

Andrea Ranzi, Anna Freni Sterrantino, Francesco Forastiere, Claudio Sartini, Giovanna Casale, Rino Cavallini, Aldo De Togni, Lorenza Gallo, Paolo Lauriola

26-11-2015

https://doi.org/10.4081/gh.2015.366

3250

PDF: 1435

HTML: 1239
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

1249

PDF: 648

HTML: 13
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

1855

PDF: 1006

HTML: 45
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

2199

PDF: 978

HTML: 1002
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

3213

PDF: 1374

HTML: 1505
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

5921

PDF: 2430

HTML: 3079
Alcohol sale status and homicide victimization in Kentucky, 2005-2012: Is there a spatial association?

Hanan Abdulghafoor Khaleel, Sabrina Brown, Steven Fleming, W. Jay Christian

14-05-2019

https://doi.org/10.4081/gh.2019.747

1420

PDF: 806

HTML: 27
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

1669

PDF: 885

HTML: 1022
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

2142

PDF: 1371

HTML: 184
COVID-19: Past, present and future

Robert Bergquist

09-09-2022

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

818

PDF: 429

HTML: 103
Mapping routine malaria incidence at village level for targeted control in Papua New Guinea

Daniela Rodríguez-Rodríguez, Seri Maraga, Sharon Jamea-Maiasa, Anthony Tandrapah, Leo Makita, Peter M. Siba, Ivo Mueller, Justin Pulford, Manuel Hetzel

07-11-2019

https://doi.org/10.4081/gh.2019.798

1521

VIDEO: 0

PDF: 665

HTML: 40
Investigating local variation in disease rates within high-rate regions identified using smoothing

Matthew Tuson, Matthew Yap, David Whyatt

25-05-2023

https://doi.org/10.4081/gh.2023.1144

471

PDF: 326

Supplementary Materials: 83

HTML: 12
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

2254

PDF: 923

APPENDIX: 407

HTML: 105
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

3125

PDF: 1267

HTML: 842
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

2576

PDF: 707

HTML: 832
Towards improved, cost-effective surveillance of Ixodes ricinus ticks and associated pathogens using species distribution modelling

Manuela Signorini, Anna-Sofie Stensgaard, Michele Drigo, Giulia Simonato, Federica Marcer, Fabrizio Montarsi, Marco Martini, Rudi Cassini

13-05-2019

https://doi.org/10.4081/gh.2019.745

1868

PDF: 1150

HTML: 44
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

2746

PDF: 1158

HTML: 883
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

3161

PDF: 1249

HTML: 833
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

2274

PDF: 1170

HTML: 968
Spatial variations of COVID-19 risk by age in Toronto, Canada

Nushrat Nazia

20-07-2022

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

854

PDF: 359

Appendix: 152

HTML: 117
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

1505

PDF: 802

APPENDIX: 266

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

2986

PDF: 1319

HTML: 1429
Predicting frequency distribution and influence of sociodemographic and behavioral risk factors of Schistosoma mansoni infection and analysis of co-infection with intestinal parasites

Carla V.V. Rollemberg, Marília M.B.L. Silva, Karla C. Rollemberg, Fábio R. Amorim, Nayanna M.N. Lessa, Marcos D.S. Santos, Acácia M.B. Souza, Enaldo V. Melo, Roque P. Almeida, Ã‚ngela M. Silva, Guilherme L. Werneck, Mario A. Santos, José A.P. Almeida, Amélia R. Jesus

18-05-2015

https://doi.org/10.4081/gh.2015.303

4594

PDF: 1845

HTML: 1079

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