Results 51 to 60 of about 702,111 (308)
Annals of Global HealthBackground: Surveillance systems with early warning alert and response (EWAR) objectives often integrate diverse data sources, including laboratory surveillance, community reports, and open-source information for robust public health intelligence.
Farah Kader +6 more
doaj +1 more source
Advanced Science, EarlyView.Using a minimal set of experimentally labeled antimicrobial and non‐antimicrobial peptides, we reconstruct the effective lipid composition of a pathogenic membrane ‐demonstrated at the example of bacterial membranes‐ through a physics‐based evolutionary molecular dynamics (Evo‐MD) approach. Optimization based on peptide insertion reveals broad‐spectrum
Maximilian Krebs, Herre Jelger Risselada
wiley +1 more source
Spatio-temporal epidemic modelling using additive-multiplicative intensity models [PDF]
, 2008 An extension of the stochastic susceptible-infectious-recovered (SIR) model is proposed in order to accommodate a regression context for modelling infectious disease surveillance data. The proposal is based on a multivariate counting process specified by
Höhle, Michael
core +1 more source
Current Sports Medicine Reports, 2007 Introduction In June 2004, Time Magazine published a special issue titled, “America’s Obesity Crisis.” Exactly 1 year later, Scientific American, in their June 2005 issue, published an article titled, “Obesity: An Overblown Epidemic.” Was the “obesity crisis” resolved within the intervening 12-month period between these publications?
openaire +3 more sources
Advanced Science, EarlyView.A microfluidic Herd‐Immunity‐on‐a‐Chip experimentally recreates structured contact networks to quantify viral transmission dynamics. By controlling susceptible, infected, and non‐susceptible populations, the platform reveals how contact topology governs the reproduction number, outbreak propagation, herd‐immunity–like behavior, and intervention ...
Jiande Zhang +6 more
wiley +1 more source
Chapter 1 Stochastic Epidemic Models
, 2019 This first chapter introduces some basic facts about stochastic epidemic models.We consider the case of a closed community, i.e. without influx of new susceptibles or mortality.
Pardoux, Etienne +3 more
core +1 more source
From Markovian to pairwise epidemic models and the performance of moment closure approximations [PDF]
, 2011 Many if not all models of disease transmission on networks can be linked to the exact state-based Markovian formulation. However the large number of equations for any system of realistic size limits their applicability to small populations.
Kiss, Istvan Z. +26 more
core +1 more source
SSRN Electronic Journal, 2019 In this paper, I propose an economic theory that addresses the epidemic character of opioid epidemics. I consider a community in which individuals are heterogenous with respect to the experience of chronic pain and susceptibility to addiction and live through two periods.
openaire +5 more sources
Intelligent Programmable Membrane Nanosponge for Early Virus Blocking
Advanced Science, EarlyView.A smart programmable nanosponge (ACNPs) displays high‐density viral receptors on its membrane and encapsulates fusion inhibitors to capture virions at the infection source through competitive binding and blocks their entry through protease inhibition for ultra‐early cascade interception. This modular, mucus‐penetrating platform shifts antiviral defence
Ze Chen +17 more
wiley +1 more source
Predicting Opioid Epidemic by Using Twitter Data [PDF]
, 2018 Opioid crisis was declared as a public health emergency in 2017 by the President of USA. According to the Centers for Disease Control and Prevention, more than 91 Americans die every day from an opioid overdose.
Rendon, David Campo +4 more
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