This journal has not published any issues.

Impact Factor 2024

Search

Search Results

##search.searchResults.foundPlural##

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

6464

PDF: 2657

HTML: 3134
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

6529

PDF: 2381

Appendix: 646

HTML: 3344

Appendix: 261
Modelling homogeneous regions of social vulnerability to malaria in Rwanda

Jean Pierre Bizimana, Stefan Kienberger, Michael Hagenlocher, Emmanuel Twarabamenye

31-03-2016

https://doi.org/10.4081/gh.2016.404

3902

PDF: 1899

HTML: 2262
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

3342

PDF: 1729

HTML: 201
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

4660

PDF: 1930

HTML: 2560
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

1345

PDF: 864

HTML: 139
To what extent does climate explain variations in reported malaria cases in early 20th century Uganda?

Adrian M. Tompkins, Laragh Larsen, Nicky McCreesh, David Taylor

31-03-2016

https://doi.org/10.4081/gh.2016.407

4759

PDF: 1329

Appendix: 569

HTML: 1232
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

3837

PDF: 1736

HTML: 1212
Estimating malaria burden in Nigeria: a geostatistical modelling approach

Nnadozie Onyiri

04-11-2015

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

7757

PDF: 3211

HTML: 3285
Earth observation in support of malaria control and epidemiology: MALAREO monitoring approaches

Jonas Franke, Michael Gebreslasie, Ides Bauwens, Julie Deleu, Florian Siegert

03-06-2015

https://doi.org/10.4081/gh.2015.335

4657

PDF: 1665

HTML: 1222
Assessment of malaria transmission changes in Africa, due to the climate impact of land use change using Coupled Model Intercomparison Project Phase 5 earth system models

Adrian M. Tompkins, Luca Caporaso

31-03-2016

https://doi.org/10.4081/gh.2016.380

4153

PDF: 1908

HTML: 1281
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

3950

PDF: 1835

HTML: 786
Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia

Amare Sewnet Minale, Kalkidan Alemu

07-05-2018

https://doi.org/10.4081/gh.2018.660

7363

PDF: 2555

HTML: 1235
MALAREO: a user-driven project

Michael T. Gebreslasie, Ides Bauwens

04-11-2015

https://doi.org/10.4081/gh.2015.329

2902

PDF: 1281

HTML: 1013
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

5523

PDF: 2644

HTML: 1998
Nigeria’s malaria prevalence in 2015: a geospatial, exploratory district-level approach

Mina Whyte, Kennedy Mwai Wambui, Eustasius Musenge

25-11-2024

https://doi.org/10.4081/gh.2024.1243

1607

PDF: 642

HTML: 116
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

1789

PDF: 832

HTML: 101
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

3693

PDF: 1463

HTML: 1171
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

4256

PDF: 1618

HTML: 1068
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

4357

PDF: 1924

APPENDIX 1: 466

APPENDIX 2: 495

HTML: 1650
Spatial and spatio-temporal analysis of malaria in the state of Acre, western Amazon, Brazil

Leonardo Augusto Kohara Melchior, Francisco Chiaravalloti Neto

16-11-2016

https://doi.org/10.4081/gh.2016.443

4222

PDF: 1981

HTML: 1401
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

4866

PDF: 2093

Appendix: 590

HTML: 1597
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

3644

PDF: 1497

HTML: 1003
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

2257

PDF: 939

HTML: 38
Spatial abundance and human biting rate of Anopheles arabiensis and Anopheles funestus in savannah and rice agro-ecosystems of Central Tanzania

Leonard E.G. Mboera, Veneranda M. Bwana, Susan F. Rumisha, Grades Stanley, Patrick K. Tungu, Robert C. Malima

18-05-2015

https://doi.org/10.4081/gh.2015.322

3234

PDF: 1509

HTML: 1421
Environmental change and Rift Valley fever in eastern Africa: projecting beyond HEALTHY FUTURES

David Taylor, Michael Hagenlocher, Anne E. Jones, Stefan Kienberger, Joseph Leedale, Andrew P. Morse

31-03-2016

https://doi.org/10.4081/gh.2016.387

6551

PDF: 2049

HTML: 2195
A spatio-temporal study of state-wide case-fatality risks during the first wave of the COVID-19 pandemic in Mexico

Ricardo Ramìrez-Aldana , Juan Carlos Gomez-Verjan, Omar Yaxmehen Bello-Chavolla , Lizbeth Naranjo

24-03-2022

https://doi.org/10.4081/gh.2022.1054

1649

PDF: 496

Appendix: 263

HTML: 44
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

4498

PDF: 1290

HTML: 1216
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

1751

PDF: 752

HTML: 75
Spatiotemporal heterogeneity of SARS-CoV-2 diffusion at the city level using geographically weighted Poisson regression model: The case of Bologna, Italy

Addisu Jember Zeleke, Rossella Miglio, Pierpaolo Palumbo, Paolo Tubertini, Lorenzo Chiari, Bologna MODELS4COVID Study Group of the University of Bologna and the National Institute for Nuclear Physics (INFN)

01-12-2022

https://doi.org/10.4081/gh.2022.1145

1807

PDF: 971

Appendix: 145

HTML: 82
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

3291

PDF: 1497

HTML: 1482
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

3079

PDF: 913

HTML: 107
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

3747

PDF: 1918

HTML: 2260
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

2846

PDF: 972

HTML: 748
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

4523

PDF: 1848

HTML: 1758
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

3654

PDF: 1673

HTML: 1118
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

4423

PDF: 2325

HTML: 2207
Venomous snakebite risk and its implications in Zacatecas State, Mexico 2007-2017

Jesús Lenin Lara-Galván, Manuel Montesino-San Martín, Xabier Herrero Otero, Juan Felipe Martínez-Montoya, José Jesús Sigala-Rodríguez, Ana Márcia Barbosa

05-11-2025

https://doi.org/10.4081/gh.2025.1404

668

PDF: 332

Supplementary materials: 94

HTML: 10
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

1717

PDF: 990

HTML: 65
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

4512

PDF: 1888

HTML: 1241
Elimination of malaria due to Plasmodium vivax in central part of the People's Republic of China: analysis and prediction based on modelling

Zhao Chen, Liang Shi, Xiao-Nong Zhou, Zhi-Gui Xia, Robert Bergquist, Qing-Wu Jiang

169-177

01-11-2014

https://doi.org/10.4081/gh.2014.14

3771

PDF: 1247
Improving AfriPop dataset with settlement extents extracted from RapidEye for the border region comprising South-Africa, Swaziland and Mozambique

Julie Deleu, Jonas Franke, Michael Gebreslasie, Catherine Linard

04-11-2015

https://doi.org/10.4081/gh.2015.336

2672

PDF: 1219

HTML: 1134
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

4047

PDF: 1536

HTML: 1147
Spatial distribution and identifying biochemical factors affecting haemoglobin levels among women of reproductive age for each province in Indonesia: A geospatial analysis

Muhammad Nur Aidi, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Anwar Fitrianto, Khalilah Nurfadilah, Aya Yuriestia Arifin

30-11-2022

https://doi.org/10.4081/gh.2022.1118

2226

PDF: 1113

HTML: 75
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

1148

PDF: 914

HTML: 22
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

3529

PDF: 1642

HTML: 1047
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

2894

PDF: 1180

HTML: 69
Space-time scan statistics of 2007-2013 dengue incidence in Cimahi city, Indonesia

Pandji Wibawa Dhewantara, Andri Ruliansyah, M. Ezza Azmi Fuadiyah, Endang Puji Astuti, Mutiara Widawati

27-11-2015

https://doi.org/10.4081/gh.2015.373

5400

PDF: 2022

HTML: 1036
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

3003

PDF: 1144

HTML: 709
Typhoid fever in Jakarta, Indonesia 2017-2023: spatial clustering and seasonality of hospitalization data to inform better intervention

Mujiyanto Mujiyanto, Basuki Rachmat, Aris Yulianto, Made Agus Nurjana, Wawan Ridwan, Endang Puji Astuti, Doni Lasut, Pandji Wibawa Dhewantara

15-05-2025

https://doi.org/10.4081/gh.2025.1372

2689

PDF: 1167

HTML: 700
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

3218

PDF: 1256

HTML: 1087
Spatial analysis of the relationship between early childhood mortality and malaria endemicity in Malawi

Lawrence N. Kazembe, Christopher C. Appleton, Immo Kleinschmidt

41-50

01-11-2007

https://doi.org/10.4081/gh.2007.253

3010

PDF: 1569
Examination of multidimensional geographic mobility and sexual behaviour among Black cisgender sexually minoritized men in Chicago

Aleya Khalifa, Byoungjun Kim, Seann Regan, Tyrone Moline, Basile Chaix, Yen-Tyng Chen, John Schneider, Dustin T. Duncan

16-05-2024

https://doi.org/10.4081/gh.2024.1273

1770

PDF: 870

HTML: 70
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

1707

PDF: 778

HTML: 77
Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data

Sue C. Grady, April N. Frake, Qiong Zhang, Matlhogonolo Bene, Demetrice R. Jordan, Joshua Vertalka, Thania C. Dossantos, Ameen Kadhim, Judith Namanya, Lisa-Marie Pierre, Yi Fan, Peiling Zhou, Fatoumata B. Barry, Libbey Kutch

26-05-2017

https://doi.org/10.4081/gh.2017.501

9644

PDF: 4485

HTML: 2238
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

10007

PDF: 1799
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

1684

PDF: 832

HTML: 82
Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria

Abdullahi O. Sanni , Annelize Jonker, Olatunji O. Johnson , Ezra Gayawan , Aminu Shittu , Olubunmi G. Fasanmi , Oluwawemimo A. Adebowale , Folorunso O. Fasina

12-02-2026

https://doi.org/10.4081/gh.2026.1316

852

PDF: 447

Supplementary Materials: 109

HTML: 18
Malaria risk map for India based on climate, ecology and geographical modelling

Soma Sarkar, Poonam Singh, Mercy Aparna L. Lingala, Preeti Verma, Ramesh C. Dhiman

06-11-2019

https://doi.org/10.4081/gh.2019.767

6881

PDF: 2377

HTML: 13565
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

3390

PDF: 1727
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

3902

PDF: 2235

HTML: 1271
Spread of Ebola virus disease based on the density of roads in West Africa

Diana Gomez-Barroso, Emilia Velasco, Carmen Varela, Inmaculada Leon, Rosa Cano

03-11-2017

https://doi.org/10.4081/gh.2017.552

2593

PDF: 822

APPENDIX: 561

HTML: 1293
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

2963

PDF: 1164

HTML: 952
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

1375

PDF: 466

HTML: 31
Spatio-temporal dynamics of schistosomiasis in Rwanda between 2001 and 2012: impact of the national Neglected Tropical Disease control programme

Elias Nyandwi, Tom Veldkamp, Frank Badu Osei, Sherif Amer

08-05-2017

https://doi.org/10.4081/gh.2017.514

3470

PDF: 1215

HTML: 1081
Quantifying human-environment interactions using videography in the context of infectious disease transmission

Timothy R. Julian, Carla Bustos, Laura H. Kwong, Alejandro D. Badilla, Julia Lee, Heather N. Bischel, Robert A. Canales

08-05-2018

https://doi.org/10.4081/gh.2018.631

2443

PDF: 1035

Video: 0

HTML: 103
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

34264

PDF: 1094
Factors associated with the spatial distribution of leprosy: a systematic review of the published literature

Nathan Guilherme de Oliveira, Bruna Eduarda Bortolomai, Andréa Cristina Bogado, Ida Maria Foschiani Dias-Baptista

18-09-2025

https://doi.org/10.4081/gh.2025.1394

1017

PDF: 445

Supplementary materials: 83

HTML: 18
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

2332

PDF: 1144

HTML: 915
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

3551

PDF: 1268

HTML: 73
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

3256

PDF: 1035

HTML: 910
Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran

Marjan Zare, Ali Semati, Alireza Mirahmadizadeh, Abdulrasool Hemmati, Mostafa Ebrahimi

08-06-2022

https://doi.org/10.4081/gh.2022.1065

1154

PDF: 589

HTML: 42
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

1742

PDF: 573

Supplementary Materials: 162

HTML: 34
The spatial distribution pattern of human immunodeficiency virus/acquired immune deficiency syndrome in China

Ying Wang, Yongli Yang, Xuezhong Shi, Saicai Mao, Nian Shi, Xiaoqing Hui

31-05-2016

https://doi.org/10.4081/gh.2016.414

4296

PDF: 1867

HTML: 2265
Rift Valley fever dynamics in Senegal: a project for pro-active adaptation and improvement of livestock raising management

Murielle Lafaye, Baba Sall, Youssou Ndiaye, Cécile Vignolles, Yves M. Tourre, François Borchi, Jean-Michel Soubeyroux, Mawlouth Diallo, Ibrahima Dia, Yamar Ba, Abdoulaye Faye, Taibou Ba, Alioune Ka, Jacques-André Ndione, Hélène Gauthier, Jean-Pierre Lacaux

279-288

01-11-2013

https://doi.org/10.4081/gh.2013.73

2337

PDF: 1432
Use of geocoding techniques for epidemiological surveillance in the Federal District, Brazil: a case study using dengue

Lucas Sanglard, Klauss K. S. Garcia, Walter Massa Ramalho

02-09-2025

https://doi.org/10.4081/gh.2025.1403

934

PDF: 319

HTML: 57
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

2349

PDF: 954

HTML: 124
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

3111

PDF: 1448

HTML: 1074
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

3390

PDF: 1475

HTML: 853

1 - 79 of 79 items

© PAGEPress 2008-2026 • PAGEPress^® is a registered trademark property of PAGEPress srl, Italy • VAT: IT02125780185 • Privacy