Zobrazeno 1 - 10
of 345
pro vyhledávání: '"David L, Buckeridge"'
Publikováno v:
Harm Reduction Journal, Vol 21, Iss 1, Pp 1-13 (2024)
Abstract Background Needle and syringe programs (NSP) are effective harm-reduction strategies against HIV and hepatitis C. Although skin, soft tissue, and vascular infections (SSTVI) are the most common morbidities in people who inject drugs (PWID),
Externí odkaz:
https://doaj.org/article/fef8d2faa1884ee38a4b3aa3f6fa8882
Publikováno v:
Harm Reduction Journal, Vol 21, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/f569fe5b0cdc4bce8fd47be0e09a715d
Publikováno v:
Epidemics, Vol 46, Iss , Pp 100744- (2024)
Background: Non-pharmaceutical interventions (NPIs) and vaccines have been widely used to manage the COVID-19 pandemic. However, uncertainty persists regarding the effectiveness of these interventions due to data quality issues, methodological challe
Externí odkaz:
https://doaj.org/article/bbe480b672cc4e0eb2128278d4ea9bf8
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract The rapid growth of electronic health record (EHR) datasets opens up promising opportunities to understand human diseases in a systematic way. However, effective extraction of clinical knowledge from EHR data has been hindered by the sparse
Externí odkaz:
https://doaj.org/article/f777d40a70544702b634461c65c9b2c2
Publikováno v:
BMC Public Health, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background Price discount is an unregulated obesogenic environmental risk factor for the purchasing of unhealthy food, including Sugar Sweetened Beverages (SSB). Sales of price discounted food items are known to increase during the period of
Externí odkaz:
https://doaj.org/article/9acd151f442e464a8f299f299ed47d63
Autor:
Yiqing Xia, Huiting Ma, David L Buckeridge, Marc Brisson, Beate Sander, Adrienne Chan, Aman Verma, Iris Ganser, Nadine Kronfli, Sharmistha Mishra, Mathieu Maheu-Giroux
Publikováno v:
International Journal of Infectious Diseases, Vol 121, Iss , Pp 1-10 (2022)
Background: Epidemics of COVID-19 strained hospital resources. We describe temporal trends in mortality risk and length of stays in hospital and intensive care units (ICUs) among patients with COVID-19 hospitalized through the first three epidemic wa
Externí odkaz:
https://doaj.org/article/ac7ed825d3414ad0acec889ac1585c38
Autor:
Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Nanor Minoyan, Soren Harnois-Leblanc, Joanna Merckx, Andrew Williams, Victor Schmidt, Pierre-Luc St-Charles, Akshay Patel, Yang Zhang, David L Buckeridge, Christopher Pal, Bernhard Schölkopf, Yoshua Bengio
Publikováno v:
PLOS Digital Health, Vol 2, Iss 3, p e0000199 (2023)
The COVID-19 pandemic has spurred an unprecedented demand for interventions that can reduce disease spread without excessively restricting daily activity, given negative impacts on mental health and economic outcomes. Digital contact tracing (DCT) ap
Externí odkaz:
https://doaj.org/article/3b38214f54c04b829a2ef29a45a8cec7
Autor:
David M. Vickers, Stefan Baral, Sharmistha Mishra, Jeffrey C. Kwong, Maria Sundaram, Alan Katz, Andrew Calzavara, Mathieu Maheu-Giroux, David L. Buckeridge, Tyler Williamson
Publikováno v:
International Journal of Infectious Diseases, Vol 118, Iss , Pp 73-82 (2022)
Background: Many studies have examined the effectiveness of non-pharmaceutical interventions (NPIs) on SARS-CoV-2 transmission worldwide. However, less attention has been devoted to understanding the limits of NPIs across the course of the pandemic a
Externí odkaz:
https://doaj.org/article/30122b66b1c84b33888dc90ca40862d0
Autor:
Jean-Francois Rajotte, Robert Bergen, David L. Buckeridge, Khaled El Emam, Raymond Ng, Elissa Strome
Publikováno v:
iScience, Vol 25, Iss 11, Pp 105331- (2022)
Summary: Synthetic data generation is the process of using machine learning methods to train a model that captures the patterns in a real dataset. Then new or synthetic data can be generated from that trained model. The synthetic data does not have a
Externí odkaz:
https://doaj.org/article/67ccb939cbe34dde99e74c420396ce90
Publikováno v:
JMIR Public Health and Surveillance, Vol 8, Iss 10, p e36211 (2022)
BackgroundRobust and flexible infectious disease surveillance is crucial for public health. Event-based surveillance (EBS) was developed to allow timely detection of infectious disease outbreaks by using mostly web-based data. Despite its widespread
Externí odkaz:
https://doaj.org/article/e804f0591ed84334af87424c1d2ca3de