Results 61 to 70 of about 3,054,124 (254)

Simulating influenza epidemics with waning vaccine immunity

open access: yesMedicine, 2021
Abstract Observational studies indicate that vaccine-induced immunity can decline over time. However, few researchers have incorporated this kind of waning effect into their virus spread models. In this study, we simulate an influenza epidemic that considers the effects of waning immunity by fitting epidemiological models to ...
Chun-Miin (Jimmy) Chen, Alia C. Stanciu
openaire   +3 more sources

Risk management externalities in agrifood supply chains

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract Firms may under‐ or over‐invest in risk management from the social planner's perspective, resulting in a negative externality on other economic agents in the supply chain. The externality of risk management is particularly relevant for agrifood supply chains, which frequently experience disruptions and play a primary role in preventing major ...
Jeffrey Hadachek, Meilin Ma
wiley   +1 more source

Dynamic Analysis for Enhancing Urban Resilience Against Public Health Emergencies of International Concern

open access: yesLand
The frequent occurrence of Public Health Emergencies of International Concern (PHEIC) has posed significant challenges to urban public health, economic, and social systems, exposing gaps in urban resilience.
Ruize Qin   +3 more
doaj   +1 more source

Evidence of Modeling Impact in Development of Policies for Controlling the Opioid Epidemic and Improving Public Health: A Scoping Review

open access: yesSubstance Abuse: Research and Treatment, 2019
Background: Opioid addiction and overdose rates are reaching unprecedented levels in the U.S., with around 47,736 overdose deaths in 2017. Many stakeholders affect the opioid epidemic, including government entities, healthcare providers and policymakers,
Nasser Sharareh   +3 more
doaj   +1 more source

Eight challenges for network epidemic models [PDF]

open access: yes, 2014
Networks offer a fertile framework for studying the spread of infection in human and animal populations. However, owing to the inherent high-dimensionality of networks themselves, modelling transmission through networks is mathematically and ...
Trapman, Pieter,   +25 more
core   +1 more source

Metal nanostructure‐coupled label‐free localized surface plasmon resonance biosensors for rapid and sensitive disease diagnosis

open access: yesBMEMat, EarlyView.
LSPR biosensing enables rapid, sensitive, and low‐sample‐volume detection of biomarkers, with broad applications in diagnosing cancer, infectious, and chronic diseases. Advances in nanostructure design, micro/nanofabrication, and microfluidic integration have expanded the potential of LSPR sensors in biomedical diagnostics.
Zhaoxin Geng   +4 more
wiley   +1 more source

Digital-twin-based multi-scale simulation supports urban emergency management: a case study of urban epidemic transmission

open access: yesInternational Journal of Digital Earth
Improving emergency management capabilities is vital for sustainable cities. However, urban emergency management is a complex, giant system that interacts between urban virtual and real spaces, requiring simulation in the virtual space and feedback to ...
Haojia Lin   +6 more
doaj   +1 more source

Fitting the HIV epidemic in Zambia: a two-sex micro-simulation model. [PDF]

open access: yesPLoS ONE, 2009
BACKGROUND: In describing and understanding how the HIV epidemic spreads in African countries, previous studies have not taken into account the detailed periods at risk.
Pauline M Leclerc   +2 more
doaj   +1 more source

An Exploratory Study on the Simulation of Stochastic Epidemic Models

open access: yes, 2020
A small number of people infected with a contagious disease in a large community can lead to the rapid spread of the disease by many of the people in that community, leading to an epidemic. Mathematical models of epidemics allow estimating several impacts on the population, such as the total and maximum number of people infected, as well as the ...
Carlos Balsa   +3 more
openaire   +3 more sources

Bayesian inverse ensemble forecasting for COVID‐19

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

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