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Mosquito breeding site water temperature observations and simulations towards improved vector-borne disease models for Africa

Ernest O. Asare, Adrian M. Tompkins, Leonard K. Amekudzi, Volker Ermert, Robert Redl

31-03-2016

https://doi.org/10.4081/gh.2016.391

2859

PDF: 1480

HTML: 4612
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

5928

PDF: 2103

Appendix: 547

HTML: 3240

Appendix: 197
Geospatial analysis in the United States reveals the changing roles of temperature on COVID-19 transmission

Ruiwen Xiong, Xiaolong Li

20-07-2023

https://doi.org/10.4081/gh.2023.1213

1194

PDF: 601

HTML: 24
Associations between seasonal influenza and meteorological parameters in Costa Rica, Honduras and Nicaragua

Radina P. Soebiyanto, Wilfrido A. Clara, Jorge Jara, Angel Balmaseda, Jenny Lara, Mariel Lopez Moya, Rakhee Palekar, Marc-Alain Widdowson, Eduardo Azziz-Baumgartner, Richard K. Kiang

04-11-2015

https://doi.org/10.4081/gh.2015.372

4217

PDF: 1367

HTML: 1161
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

3671

PDF: 1648

HTML: 1268
The influence of urban heat islands and socioeconomic factors on the spatial distribution of Aedes aegypti larval habitats

Thiago S. de Azevedo, Brian Patrick Bourke, Rafael Piovezan, Maria Anice M. Sallum

08-05-2018

https://doi.org/10.4081/gh.2018.623

2670

PDF: 1209

HTML: 498
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

3844

PDF: 1116

Appendix: 466

HTML: 1211
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

2959

PDF: 1275

HTML: 1424
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

2216

PDF: 1202

HTML: 136
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

3712

PDF: 1288

HTML: 1132
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

2651

PDF: 1226

HTML: 1045
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

4045

PDF: 1616

HTML: 2543
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

3829

PDF: 1513

APPENDIX 1: 417

APPENDIX 2: 406

HTML: 1638
Report-back for geo-referenced environmental data: A case study on personal monitoring of temperature in outdoor workers

Laura Thompson, Maggie Sugg, Jennifer Runkle

07-05-2018

https://doi.org/10.4081/gh.2018.629

2233

PDF: 947

APPENDIX: 304

HTML: 75
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

5127

PDF: 2301

HTML: 1979
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

3495

PDF: 2010

HTML: 1261
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

1653

PDF: 310

HTML: 72
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

1934

PDF: 777

HTML: 80
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

3786

PDF: 1314

HTML: 1054
Space-time epidemiology and effect of meteorological parameters on influenza-like illness in Phitsanulok, a northern province in Thailand

Prakash Madhav Nimbalkar, Nitin Kumar Tripathi

21-11-2016

https://doi.org/10.4081/gh.2016.447

2123

PDF: 1155

HTML: 1119
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

5885

PDF: 2362

HTML: 3068
The spatial distribution of interleukin-4 (IL-4) reference values in China based on a back propagation (BP) neural network

Zhao Rong Huang, Miao Ge, Xin Rui Pang, Pu Song, Congxia Wang

13-09-2023

https://doi.org/10.4081/gh.2023.1197

1027

PDF: 409

HTML: 14
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

4239

PDF: 1639

Appendix: 488

HTML: 1576
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

1256

PDF: 701
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

1019

PDF: 436

HTML: 214
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

6696

PDF: 2178

HTML: 1135
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

1214

PDF: 511

HTML: 93
Disparities in COVID-19 health outcomes among different sub-immigrant groups in the US - a study based on the spatial Durbin model

Jihoon Jung, Yoonjung Ahn, Joseph Bommarito

18-03-2022

https://doi.org/10.4081/gh.2022.1064

1318

PDF: 301

Appendix: 238

HTML: 8
Spatiotemporal transmission and socio-climatic factors related to paediatric tuberculosis in north-western Ethiopia

Kefyalew Addis Alene, Kerri Viney, Emma S. McBryde, Archie C.A. Clements

27-11-2017

https://doi.org/10.4081/gh.2017.575

3372

PDF: 1129

APPENDIX: 362

HTML: 839
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

4180

PDF: 1055

HTML: 253
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

1620

PDF: 774

HTML: 158
Spatial correlates of COVID-19 first wave across continental Portugal

Bruno Barbosa, Melissa Silva, César Capinha, Ricardo A.C. Garcia, Jorge Rocha

23-06-2022

https://doi.org/10.4081/gh.2022.1073

1214

PDF: 386

HTML: 41
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

770

PDF: 326

HTML: 18
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

3362

PDF: 1640

HTML: 2222
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

6965

PDF: 1763

HTML: 2088
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

3933

PDF: 1598

HTML: 1739
Spatial association between socio-economic health service factors and sepsis mortality in Thailand

Juree Sansuk, Wongsa Laohasiriwong, Kittipong Sornlorm

13-09-2023

https://doi.org/10.4081/gh.2023.1215

1308

PDF: 492

HTML: 30
Impact of climate change on dengue fever: a bibliometric analysis

Mai Liu, Yin Zhang

19-02-2025

https://doi.org/10.4081/gh.2025.1301

2187

PDF: 637

Supplementary Materials: 300

HTML: 88
The geographic environment and the frequency of falling: a study of mortality outcomes in elderly people in China

Yi Huang, Chen Li, Xianjing Lu, Yue Wang

25-05-2023

https://doi.org/10.4081/gh.2023.1180

597

PDF: 397

HTML: 4
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

2737

PDF: 1101

HTML: 1599
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

497

PDF: 102

HTML: 6
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

2457

PDF: 788

HTML: 726
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

3892

PDF: 1614

HTML: 1231
Spatial and temporal clustering analysis of pulmonary tuberculosis and its associated risk factors in southwest China

Jianjiao Wang, Xiaoning Liu, Zhengchao Jing, Jiawai Yang

25-05-2023

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

817

PDF: 577

HTML: 19
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

4031

PDF: 2119

HTML: 2152
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

2149

PDF: 909

HTML: 127
Spatial analysis and prediction of the flow of patients to public health centres in a middle-sized Spanish city

Isabel Ramos, Juan J. Cubillas, Francisco R. Feito, Tomas Ureña

21-11-2016

https://doi.org/10.4081/gh.2016.452

1973

PDF: 1015

HTML: 1118
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

1347

PDF: 764

HTML: 44
Air versus water temperature of aquatic habitats in Delhi: Implications for transmission dynamics of Aedes aegypti

Gaurav Kumar, Veena Pande, Shweta Pasi, Vijay P. Ojha, Ramesh C. Dhiman

09-11-2018

https://doi.org/10.4081/gh.2018.707

1474

PDF: 809

HTML: 27
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

2741

PDF: 1255

HTML: 1673
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

3096

PDF: 1374

HTML: 1025
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

2480

PDF: 888

HTML: 915
Estimating malaria burden in Nigeria: a geostatistical modelling approach

Nnadozie Onyiri

04-11-2015

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

7025

PDF: 2873

HTML: 3246
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

3354

PDF: 1478

HTML: 1100
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

626

PDF: 180

HTML: 3
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

4846

PDF: 2238

HTML: 736
American cutaneous leishmaniasis cases in the metropolitan region of Manaus, Brazil: association with climate variables over time

Rodrigo Augusto Ferreira de Souza, Rita Valéria Andreoli, Mary Toshie Kayano, AfrÃ¢nio Lima Carvalho

18-05-2015

https://doi.org/10.4081/gh.2015.314

2737

PDF: 1346

HTML: 810
Spatial-temporal risk factors in the occurrence of rabies in Mexico

Reyna Ortega-Sánchez, Isabel Bárcenas-Reyes, Jesús Luna-Cozar, Edith Rojas-Anaya, José Quintín Cuador-Gil, Germinal Jorge Cantó-Alarcón, Nerina Veyna-Salazar, Sara González-Ruiz, Feliciano Milián-Suazo

30-01-2024

https://doi.org/10.4081/gh.2024.1245

3804

PDF: 1036

HTML: 764
Temperature-derived potential for the establishment of phlebotomine sandflies and visceral leishmaniasis in Germany

Dominik Fischer, Stephanie M. Thomas, Carl Beierkuhnlein

59-69

01-11-2010

https://doi.org/10.4081/gh.2010.187

2362

PDF: 1085
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

3444

PDF: 1432

HTML: 1178
Geographical distribution of the association between El Niño South Oscillation and dengue fever in the Americas: a continental analysis using geographical information system-based techniques

Marcos C. Ferreira

141-151

01-11-2014

https://doi.org/10.4081/gh.2014.12

3089

PDF: 1720
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

4133

PDF: 1114

HTML: 1197
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

3141

PDF: 1185

HTML: 850
Spatiotemporal analysis of hand, foot and mouth disease data using time-lag geographically-weighted regression

Zhi-Min Hong, Hu-Hu Wang, Yan-Juan Wang, Wen-Rui Wang

29-12-2020

https://doi.org/10.4081/gh.2020.849

1696

PDF: 742

HTML: 25
The potential for emergence of Chagas disease in the United States

Rebecca Click Lambert, Korine N. Kolivras, Lynn M. Resler, Carlyle C. Brewster, Sally L. Paulson

227-239

01-05-2008

https://doi.org/10.4081/gh.2008.246

2310

PDF: 1250
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

2978

PDF: 989

HTML: 68
Outbreak of acute fasciolosis in sheep farms in a Mediterranean area arising as a possible consequence of climate change

Antonio Bosco, Laura Rinaldi, Vincenzo Musella, Alessandra Amadesi, Giuseppe Cringoli

319-324

19-03-2015

https://doi.org/10.4081/gh.2015.354

2959

PDF: 1548
Regional variation of alanine aminotransferase serum levels in the People's Republic of China

Peng Li, Miao Ge, Jing Jing, Dezhi Wei

28-11-2017

https://doi.org/10.4081/gh.2017.472

2325

PDF: 497

HTML: 699
Modeling the distribution of Culex tritaeniorhynchus to predict Japanese encephalitis distribution in the Republic of Korea

Penny Masuoka, Terry A. Klein, Heung-Chul Kim, David M. Claborn, Nicole Achee, Richard Andre, Judith Chamberlin, Jennifer Small, Assaf Anyamba, Dong-Kyu Lee, Suk H. Yi, Michael Sardelis, Young-Ran Ju, John Grieco

45-57

01-11-2010

https://doi.org/10.4081/gh.2010.186

2925

PDF: 1251
Environmental determinants of the distribution of Chagas disease vectors in south-eastern Guatemala

Dulce Maria Bustamante, Maria Carlota Monroy, Antonieta Guadalupe Rodas, Jaime Abraham Juarez, John B. Malone

199-211

01-05-2007

https://doi.org/10.4081/gh.2007.268

3017

PDF: 919
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

2878

PDF: 1298
Geospatial context of social and environmental factors associated with health risk during temperature extremes: Review and discussion

Man Sing Wong, Hung Chak Ho, Agnes Tse

22-06-2020

https://doi.org/10.4081/gh.2020.814

1762

PDF: 945

Appendix: 157

HTML: 31
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

3120

PDF: 1181

HTML: 833
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

1727

PDF: 828

Supplementary Materials: 111

HTML: 36
Spatial dynamic patterns of hand-foot-mouth disease in the People's Republic of China

Jin-Feng Wang, Cheng-Dong Xu, Shi-Lu Tong, Hong-Yan Chen, Wei-Zhong Yang

381-390

01-05-2013

https://doi.org/10.4081/gh.2013.95

2660

PDF: 1326
Cluster analysis of fasciolosis in dairy cow herds in Munster province of Ireland and detection of major climatic and environmental predictors of the exposure risk

Nikolaos Selemetas, Paul Phelan, Padraig O'Kiely, Theo de Waal

271-279

19-03-2015

https://doi.org/10.4081/gh.2015.349

2545

PDF: 1178
Climatic factors associated with amyotrophic lateral sclerosis: a spatial analysis from Taiwan

Ching-Piao Tsai, Charles Tzu-Chi Lee

45-52

01-11-2013

https://doi.org/10.4081/gh.2013.53

1578

PDF: 912
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

2585

PDF: 985
Sheep and Fasciola hepatica in Europe: the GLOWORM experience

Laura Rinaldi, Annibale Biggeri, Vincenzo Musella, Theo de Waal, Hubertus Hertzberg, Fabien Mavrot, Paul R. Torgerson, Nikolaos Selemetas, Tom Coll, Antonio Bosco, Laura Grisotto, Giuseppe Cringoli, Dolores Catelan

309-317

19-03-2015

https://doi.org/10.4081/gh.2015.353

4084

PDF: 1912
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

3233

PDF: 1379

HTML: 1239
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

3115

PDF: 1194

HTML: 842
Modelling recent and future climatic suitability for fasciolosis in Europe

Cyril Caminade, Jan van Dijk, Matthew Baylis, Diana Williams

301-308

19-03-2015

https://doi.org/10.4081/gh.2015.352

3976

PDF: 1523
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

4157

PDF: 1480

HTML: 2239
Socio-environmental variables and transmission risk of lymphatic filariasis in central and northern Mozambique

Isabel Manhenje, M. Teresa Galán-Puchades, Márius V. Fuentes

391-398

01-05-2013

https://doi.org/10.4081/gh.2013.96

2593

PDF: 1173
Correlation analysis of air pollutant index levels and dengue cases across five different zones in Selangor, Malaysia

Loshini Thiruchelvam, Sarat C. Dass, Rafdzah Zaki, Abqariyah Yahya, Vijanth S. Asirvadam

07-05-2018

https://doi.org/10.4081/gh.2018.613

2025

PDF: 1108

HTML: 312
Ecological niche model of Phlebotomus perniciosus, the main vector of canine leishmaniasis in north-eastern Italy

Manuela Signorini, Rudi Cassini, Michele Drigo, Antonio Frangipane di Regalbono, Mario Pietrobelli, Fabrizio Montarsi, Anna-Sofie Stensgaard

193-201

01-11-2014

https://doi.org/10.4081/gh.2014.16

3396

PDF: 1435
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

6057

PDF: 1783

HTML: 2145
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

3664

PDF: 1272

APPENDIX: 482

HTML: 1533
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

2750

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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

2662

PDF: 1119
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

2547

PDF: 1017

HTML: 1096
Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis

Isabelle Lebert, Séverine Bord, Christine Saint-Andrieux, Eva Cassar, Patrick Gasqui, Frédéric Beugnet, Karine Chalvet-Monfray, Sophie O. Vanwambeke, Gwenaël Vourc’h, Magalie René-Martellet

17-05-2022

https://doi.org/10.4081/gh.2022.1058

5802

PDF: 2179

Appendix: 290

HTML: 235
Exploring recent spatial patterns of cutaneous leishmaniasis and their associations with climate in some countries of the Middle East using geographical information systems

Salahuddin M. Jaber, Jwan H. Ibbini, Nawal S. Hijjawi, Nafn M. Amdar, Mohammed J. Huwail, Khalid Al-Aboud

143-158

01-11-2013

https://doi.org/10.4081/gh.2013.62

1984

PDF: 939
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

2193

PDF: 923
Spatial analysis of risk factors for transmission of the Barmah Forest virus in Queensland, Australia

Suchithra Naish, Kerrie Mengersen, Shilu Tong

289-299

01-11-2013

https://doi.org/10.4081/gh.2013.74

1705

PDF: 851
Identification of environmental parameters and risk mapping of visceral leishmaniasis in Ethiopia by using geographical information systems and a statistical approach

Teshome Tsegaw, Endalamaw Gadisa, Ahmed Seid, Adugna Abera, Aklilu Teshome, Abate Mulugeta, Merce Herrero, Daniel Argaw, Alvar Jorge, Abraham Aseffa

299-308

01-05-2013

https://doi.org/10.4081/gh.2013.88

3499

PDF: 1453
Modeling freshwater snail habitat suitability and areas of potential snail-borne disease transmission in Uganda

A.S. Stensgaard, A. JÃ¸rgensen, N.B. Kabatereine, C. Rahbek, T.K. Kristensen

93-104

01-11-2006

https://doi.org/10.4081/gh.2006.284

2835

PDF: 1468
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

2511

PDF: 1121

HTML: 211
Effect modification of the association between meteorological variables and mortality by urban climatic conditions in the tropical city of Kaohsiung, Taiwan

William B. Goggins, Chao Ren, Edward Ng, Chunyuh Yang, Emily Y.Y. Chan

37-44

01-11-2013

https://doi.org/10.4081/gh.2013.52

2122

PDF: 1156
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

3565

PDF: 1615

HTML: 2222

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