Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Lauren E. Charles"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract In recent years, the reports of Kyasanur forest disease (KFD) breaking endemic barriers by spreading to new regions and crossing state boundaries is alarming. Effective disease surveillance and reporting systems are lacking for this emerging
Externí odkaz:
https://doaj.org/article/0a7d272c9da948fd9b81b1d6e612be80
Publikováno v:
One Health, Vol 15, Iss , Pp 100439- (2022)
The complex, unpredictable nature of pathogen occurrence has required substantial efforts to accurately predict infectious diseases (IDs). With rising popularity of Machine Learning (ML) and Deep Learning (DL) techniques combined with their unique ab
Externí odkaz:
https://doaj.org/article/741aa4ebdce5442eb756a9c4e288d49a
Autor:
Samuel Dixon, Ravikiran Keshavamurthy, Daniel H. Farber, Andrew Stevens, Karl T. Pazdernik, Lauren E. Charles
Publikováno v:
Pathogens, Vol 11, Iss 2, p 185 (2022)
Accurate infectious disease forecasting can inform efforts to prevent outbreaks and mitigate adverse impacts. This study compares the performance of statistical, machine learning (ML), and deep learning (DL) approaches in forecasting infectious disea
Externí odkaz:
https://doaj.org/article/09a0888d41de429f974cee7a1392729a
Publikováno v:
Pathogens, Vol 10, Iss 7, p 783 (2021)
Infectious disease surveillance is crucial for early detection and situational awareness of disease outbreaks. Digital biosurveillance monitors large volumes of open-source data to flag potential health threats. This study investigates the potential
Externí odkaz:
https://doaj.org/article/a04f3b87800340658572b4c18a5854a8
In recent years, the reports of Kyasanur Forest Disease (KFD) breaking endemic barriers by spreading to new regions and crossing state boundaries is alarming. Effective disease surveillance and reporting systems are lacking for this emerging zoonosis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3da2f20b493e841039fd9603127eae4e
https://doi.org/10.21203/rs.3.rs-2720458/v1
https://doi.org/10.21203/rs.3.rs-2720458/v1
Autor:
Samuel Dixon, Ravikiran Keshavamurthy, Daniel H. Farber, Andrew Stevens, Karl T. Pazdernik, Lauren E. Charles
Publikováno v:
Pathogens; Volume 11; Issue 2; Pages: 185
Accurate infectious disease forecasting can inform efforts to prevent outbreaks and mitigate adverse impacts. This study compares the performance of statistical, machine learning (ML), and deep learning (DL) approaches in forecasting infectious disea
Autor:
Scott Dowson, Amalie Trewartha, Elise Saxon, Gerbrand Ceder, Lauren E. Charles, Addy Moran, Andrew T. Barker, John Dagdelen, Kristin A. Persson, Bobbie-Jo M. Webb-Robertson, Shawn Hampton
Publikováno v:
Journal of medical Internet research, vol 23, iss 7
Journal of Medical Internet Research
Journal of Medical Internet Research
Background Papers on COVID-19 are being published at a high rate and concern many different topics. Innovative tools are needed to aid researchers to find patterns in this vast amount of literature to identify subsets of interest in an automated fash
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b0f4dc5a208ed55e9272b37cd2b6ef2
https://escholarship.org/uc/item/08m6m5wz
https://escholarship.org/uc/item/08m6m5wz
Autor:
Lauren E. Charles, Courtney D. Corley
IntroductionThe Philippines is plagued with natural disasters and resulting precipitating factors for disease outbreaks. The developing country has a strong disease surveillance program during and post-disaster phases; however, latent disease contrac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05fa2cd47e28d01522c4632cc82cf849
https://doi.org/10.1101/2021.03.22.21254137
https://doi.org/10.1101/2021.03.22.21254137
Uncovering the relationships between military community health and affects expressed in social media
Publikováno v:
EPJ Data Science, Vol 6, Iss 1, Pp 1-23 (2017)
Military populations present a small, unique community whose mental and physical health impacts the security of the nation. Recent literature has explored social media’s ability to enhance disease surveillance and characterize distinct communities
Publikováno v:
Online Journal of Public Health Informatics
Objective The Pocket Atlas of Infectious Diseases (PocketAID) mobile application developed at Pacific Northwest National Laboratory (PNNL) provides infectious disease education and decision support offline for an enhanced personal situational risk as