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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

1099

PDF: 500

HTML: 51
Elucidating the underlying causes of oral cancer through spatial clustering in high-risk areas of Taiwan with a distinct gender ratio of incidence

Chi-Ting Chiang, Yaw-Huei Hwang, Che-Chun Su, Kuo-Yang Tsai, Ie-Bin Lian, Tzu-Hsuen Yuan, Tsun-Kuo Chang

231-242

01-05-2010

https://doi.org/10.4081/gh.2010.203

2709

PDF: 995
Spatial analysis of bluetongue cases and vaccination of Swiss cattle in 2008 and 2009

Katriina J. E. Willgert, Birgit Schroedle, Heinzpeter Schwermer

227-237

01-05-2011

https://doi.org/10.4081/gh.2011.175

1319

PDF: 939
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

1918

PDF: 800

Supplementary Materials: 120

HTML: 47
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

7228

PDF: 1948

HTML: 2208
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

4518

PDF: 1869

Appendix: 541

HTML: 1585
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

3446

PDF: 1387

HTML: 997
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

3988

PDF: 1497

HTML: 1057
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

2353

PDF: 1222

HTML: 1287
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

970

PDF: 497

HTML: 30
Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate

I Gede Nyoman Mindra Jaya, Yudhie Andriyana, Bertho Tantular

22-03-2022

https://doi.org/10.4081/gh.2022.1070

1400

PDF: 470

HTML: 33
Spatio-temporal evaluation of cattle trade in Sweden: description of a grid network visualization technique

Stefan Widgren, Jenny Frössling

119-130

01-11-2010

https://doi.org/10.4081/gh.2010.192

1419

PDF: 1082
Interpreting predictive maps of disease: highlighting the pitfalls of distribution models in epidemiology

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

237-246

01-11-2014

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

2249

PDF: 1031
Coarse-scale spatial and ecological analysis of tuberculosis in cattle: an investigation in Jalisco, Mexico

Horacio Zendejas-Martínez, A. Townsend Peterson, Feliciano Milián-Suazo

29-38

01-11-2008

https://doi.org/10.4081/gh.2008.229

1258

PDF: 742
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

1972

PDF: 873

HTML: 29
Use of geographical information systems for delimiting health service areas in China

Xuechen Xiong, Li Luo

11-05-2017

https://doi.org/10.4081/gh.2017.486

2273

PDF: 1110

HTML: 1017
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

1484

PDF: 888

HTML: 51
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

3109

PDF: 1099

HTML: 1215
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

3009

PDF: 1632
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

1805

PDF: 1129
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

2333

PDF: 1037

Supplementary Materials: 170

HTML: 84
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

1968

PDF: 1059

HTML: 161

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Search Results

Impact of the COVID-19 pandemic on the number of births in Pernambuco Brazil

Elucidating the underlying causes of oral cancer through spatial clustering in high-risk areas of Taiwan with a distinct gender ratio of incidence

Spatial analysis of bluetongue cases and vaccination of Swiss cattle in 2008 and 2009

Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats

The use of geographic information system as a tool for schistosomiasis surveillance in the province of Davao del Norte, the Philippines

A dynamic, climate-driven model of Rift Valley fever

Migration statistics relevant for malaria transmission in Senegal derived from mobile phone data and used in an agent-based migration model

Combining process-based and correlative models improves predictions of climate change effects on Schistosoma mansoni transmission in eastern Africa

Revealing spatio-temporal patterns of rabies spread among various categories of animals in the Republic of Kazakhstan, 2010-2013

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

Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate

Spatio-temporal evaluation of cattle trade in Sweden: description of a grid network visualization technique

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

Coarse-scale spatial and ecological analysis of tuberculosis in cattle: an investigation in Jalisco, Mexico

Understanding the relationship between land use and land cover and malaria in Nepal

Use of geographical information systems for delimiting health service areas in China

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

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

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

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

Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach

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

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