Results 81 to 90 of about 2,775,048 (407)
The Proceedings of the Nigerian Academy of Science, 2022 The recent upsurge in the number and magnitude of outbreaks of infectious diseases in Nigeria has been managed effectively and efficiently by the Nigeria Centre for Disease Control (NCDC) in an increasingly epidemiology guided approach led by a skilled ...
Patrick M. Nguku +3 more
doaj +1 more source
Methodological Frontiers in Environmental Epidemiology [PDF]
, 2011 Environmental epidemiology comprises the epidemiologic study of those environmental factors that are outside the immediate control of the individual.
Rothman, K J
core +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract This study aimed to evaluate the dose‐exposure reduction effect of a crystalline lens with a bismuth eye shield using cone‐beam computed tomography (CBCT) for head image‐guided radiation therapy. The ocular surface dose of the head phantom (THRA‐1) is defined as a crystalline lens exposure dose and is measured using a radiophotoluminescence ...
Tatsuya Yoshida +5 more
wiley +1 more source
Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization [PDF]
arXiv, 2020 Mass public quarantining, colloquially known as a lock-down, is a non-pharmaceutical intervention to check spread of disease. This paper presents ESOP (Epidemiologically and Socio-economically Optimal Policies), a novel application of active machine learning techniques using Bayesian optimization, that interacts with an epidemiological model to arrive ...
arxiv
Interpretability of Epidemiological Models : The Curse of Non-Identifiability [PDF]
arXiv, 2021 Interpretability of epidemiological models is a key consideration, especially when these models are used in a public health setting. Interpretability is strongly linked to the identifiability of the underlying model parameters, i.e., the ability to estimate parameter values with high confidence given observations.
arxiv
On Understanding Catastrophe — The Case of Highly Severe Influenza-Like Illness [PDF]
, 2011 Computational epidemiology is a form of spatiotemporal reasoning in which social link structures are employed, and spatially explicit models are specified and executed.
Boman, Magnus
core
Microbiology and Molecular Biology Reviews, 2001 SUMMARY Tetracyclines were discovered in the 1940s and exhibited activity against a wide range of microorganisms including gram-positive and gram-negative bacteria, chlamydiae, mycoplasmas, rickettsiae, and protozoan parasites.
I. Chopra, M. Roberts
semanticscholar +1 more source
PLoS Computational Biology, 2012 Mobile, social, real-time: the ongoing revolution in the way people communicate has given rise to a new kind of epidemiology. Digital data sources, when harnessed appropriately, can provide local and timely information about disease and health dynamics in populations around the world.
Salathe M +10 more
openaire +6 more sources
Linear Regression Models in Epidemiology [PDF]
arXiv, 2020 The paper proposes to analyze epidemiological data using regression models which enable subject-matter (epidemiological) interpretation of such data whether with uncorrelated or correlated predictors. To this end, response functions should include not only terms linear in predictors but also higher order ones (e.g. quadratic and cross terms).
arxiv
Different Patterns of Association of Body Fat Percent and Body Mass Index with Pre-adolescent and Adolescent Asthma: a Cross-sectional Study Amongst Cypriot Schoolchildren [PDF]
, 2012 IEA-EEF European Congress of Epidemiology, Porto, Portugal, September ...
Kolokotroni, K +4 more
core +1 more source