Results 71 to 80 of about 1,221,433 (318)
Syphilis surveillance and epidemiology in the United Kingdom
The aim of this article is to describe trends in infectious syphilis in the UK, and specifically the epidemiology of the London syphilis outbreak, the largest in the UK to date. Analysis of routine surveillance data from genitourinary medicine (GUM) clinics was performed as well as data collection through enhanced surveillance systems.
Lesley A Wallace+4 more
openaire +4 more sources
This study provides support for the immunity debt hypothesis, revealing a 131.72% increase in influenza rates during winter and a 161.23% rise in summer, 1 year following the global easing of COVID‐19 restrictions. This study offers empirical evidence of immunity debt on a global level, highlighting the importance of incorporating this concept into the
Li Chen+6 more
wiley +1 more source
Deep neural networks for fine-grained surveillance of overdose mortality [PDF]
Surveillance of drug overdose deaths relies on death certificates for identification of the substances that caused death. Drugs and drug classes can be identified through the International Classification of Diseases, 10th Revision (ICD-10) codes present on death certificates.
arxiv
Early detection of hepatocellular carcinoma in patients with liver cirrhosis and/or hepatitis virus B/C infection improves survival. Through marker discovery, 8 methylated DNA markers are identified and a logistic regression model (COMET‐LR) is built in the training set, which achieved 90.0% sensitivity at 97.4% specificity in the validation set.
Tian Yang+16 more
wiley +1 more source
Background The burden of healthcare-associated infections (HAIs) and the extent of antimicrobial use (AU) are periodically recorded through Point Prevalence Surveys (PPS) in acute care hospitals coordinated by the European Centre for Disease Prevention ...
Konstantinos Palaiopanos+12 more
doaj +1 more source
Bayesian epidemiological modeling over high-resolution network data [PDF]
Mathematical epidemiological models have a broad use, including both qualitative and quantitative applications. With the increasing availability of data, large-scale quantitative disease spread models can nowadays be formulated. Such models have a great potential, e.g., in risk assessments in public health.
arxiv +1 more source
Novel Electroactive Therapeutic Platforms for Cardiac Arrhythmia Management
Electroactive platforms offer promising applications in cardiac arrhythmia. Based on their energy sources and mechanisms, electroactive platforms are categorized into i) direct electrical stimulation, ii) self‐powered electroactive systems, iii) physical stimuli‐mediated electroactive systems, and iv) conductive systems, and their applications in ...
Juwei Yang+4 more
wiley +1 more source
Congenital anomalies in Brazil, 2010 to 2022
Objectives. Congenital anomalies are an important cause of infant morbidity and mortality in Brazil. The aim of this study was to describe the prevalence of and main outcomes related to these anomalies in Brazil. Methods.
Julia A. Gomes+10 more
doaj +1 more source
Estimation of Population Size with Heterogeneous Catchability and Behavioural Dependence: Applications to Air and Water Borne Disease Surveillance [PDF]
Population size estimation based on the capture-recapture experiment is an interesting problem in various fields including epidemiology, criminology, demography, etc. In many real-life scenarios, there exists inherent heterogeneity among the individuals and dependency between capture and recapture attempts.
arxiv
The disease caused by the influenza virus is a global public health problem due to its high rates of morbidity and mortality. Thus, analysis of the information generated by epidemiological surveillance systems has vital importance for health decision ...
L. Fernandes-Matano+11 more
semanticscholar +1 more source