Results 21 to 30 of about 6,812,139 (213)

Prioritising Infectious Disease Mapping [PDF]

PLOS Neglected Tropical Diseases, 2015
Increasing volumes of data and computational capacity afford unprecedented opportunities to scale up infectious disease (ID) mapping for public health uses. Whilst a large number of IDs show global spatial variation, comprehensive knowledge of these geographic patterns is poor.
Pigott, DM, Howes, RE, Wiebe, A, Battle, KE, Golding, N, Gething, PW, Dowell, SF, Farag, TH, Garcia, AJ, Kimball, AM, Krause, LK, Smith, CH, Brooker, SJ, Kyu, HH, Vos, T, Murray, CJL, Moyes, CL, Hay, SI   +17 more
openaire   +5 more sources

The impact of geographic mobility on the spread of COVID-19 in Hong Kong

Geospatial Health, 2022
The modern highly globalised economy is jeopardising human health as the increased mobility and interconnectedness has the potential to rapidly transmit pathogens across the globe.
Paulina Pui Yun Wong, Chien-Tat Low, Poh-Chin Lai   +2 more
doaj   +1 more source

Mapping global environmental suitability for Zika virus

eLife, 2016
Zika virus was discovered in Uganda in 1947 and is transmitted by Aedes mosquitoes, which also act as vectors for dengue and chikungunya viruses throughout much of the tropical world.
Jane P Messina, Moritz UG Kraemer, Oliver J Brady, David M Pigott, Freya M Shearer, Daniel J Weiss, Nick Golding, Corrine W Ruktanonchai, Peter W Gething, Emily Cohn, John S Brownstein, Kamran Khan, Andrew J Tatem, Thomas Jaenisch, Christopher JL Murray, Fatima Marinho, Thomas W Scott, Simon I Hay   +17 more
doaj   +1 more source

Mapping the global spread of 2019-nCoV acute respiratory disease.

, 2020
This is a preliminary analysis developed by the Surveillance Ecology and Epidemiology Research group, Cairo, Egypt. This model will be updated on weekly basis considering the recent situation of disease spread in China.
Disease Mapping (831340)
core   +1 more source

Observing Huntington's disease: the European Huntington's Disease Network's REGISTRY. [PDF]

, 2010
The unparalleled collection of clinical data and biomaterials within the EHDN's REGISTRY can expedite the search for disease modifiers (genetic and environmental) of age at onset and disease progression that could be harnessed for the development of ...
Handley, Olivia J, Landwehrmeyer, G Bernhard, Aileen K Ho, Bisson, Jonathan Ian, Schwenke C, David Craufurd, Dunnett, Stephen B., Handley, Olivia, Investigators of the European Huntington's Disease Network, The, DI MARIA, EMILIO, Craufurd D, Dunnett, SB, Carsten Schwenke, the investigators of the European Huntington's Disease Network, Craufurd, David, Edward Wild, Landwehrmeyer, GB, Busse, Monica, Rosser, Anne Elizabeth, Olivia J Handley, Romano Silvia., Tabrizi SJ, Ho, Aileen K., Wild, E, Landwehrmeyer GB, Craufurd, D, Tabrizi, SJ, Tabrizi, Sarah J., Handley, OJ, Rickards, Hugh, Dunnett, Stephen, Ho, Aileen K, Orth, Michael, Ho, AK, Wild, Edward, Stephen B. Dunnett, Sarah J Tabrizi, Wild, EJ, Landwehrmeyer, G. Bernhard, Naji, Jenny, Landwehrmeyer, G. Bernhard, Wild E, Investigators of the European Huntington's Disease Network, Handley, Olivia J., Orth, M, Ellison-Rose, Lynda, Tabrizi, Sarah J, Price, Kathleen, Ho AK, ABBRUZZESE, GIOVANNI, Schwenke, C, Ho, A, Orth M, Handley OJ, Schwenke, Carsten, Dunnett SB, Dunnett, Stephen B, Michael Orth, G. Bernhard Landwehrmeyer   +59 more
core   +1 more source

Disease Mapping With Generative Models [PDF]

The American Statistician, 2018
Disease mapping focuses on learning about areal units presenting high relative risk. Disease mapping models for disease counts specify Poisson regressions in relative risks compared with the expected counts. These models typically incorporate spatial random effects to accomplish spatial smoothing.
Feifei Wang, Jian Wang, Alan E. Gelfand, Fan Li   +3 more
openaire   +2 more sources

Socioeconomic determinants of the leprosy risk in Yunnan Province, China: a county-level spatiotemporal study

Frontiers in Public Health
BackgroundMaking leprosy history in low-burden countries is a crucial step in achieving the World Health Organization’s 2021–2030 Global Leprosy Strategy.
Jian Qian, Yue Ma, Yuxin Wei, Zutong Peng, Wei Li, Tao Zhang, Fei Yin, Tiejun Shui   +7 more
doaj   +1 more source

LASSO Regression Modeling on Prediction of Medical Terms among Seafarers’ Health Documents Using Tidy Text Mining

Bioengineering, 2022
Generally, seafarers face a higher risk of illnesses and accidents than land workers. In most cases, there are no medical professionals on board seagoing vessels, which makes disease diagnosis even more difficult. When this occurs, onshore doctors may be
Nalini Chintalapudi, Ulrico Angeloni, Gopi Battineni, Marzio di Canio, Claudia Marotta, Giovanni Rezza, Getu Gamo Sagaro, Andrea Silenzi, Francesco Amenta   +8 more
doaj   +1 more source

Genetic Mapping in Human Disease [PDF]

Science, 2008
Genetic mapping provides a powerful approach to identify genes and biological processes underlying any trait influenced by inheritance, including human diseases. We discuss the intellectual foundations of genetic mapping of Mendelian and complex traits in humans, examine lessons emerging from linkage analysis of Mendelian diseases and genome-wide ...
David, Altshuler, Mark J, Daly, Eric S, Lander   +2 more
openaire   +2 more sources

The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure

Geospatial Health
Spatial epidemiology, defined as the study of spatial patterns in disease burdens or health outcomes, aims to estimate disease risk or incidence by identifying geographical risk factors and populations at risk (Morrison et al., 2024).
Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani   +4 more
doaj   +1 more source