Dynamically modeling SARS and other newly emerging respiratory illnesses: past, present, and future

CT Bauch, JO Lloyd-Smith, MP Coffee… - Epidemiology, 2005 - journals.lww.com
The emergence and rapid global spread of the severe acute respiratory syndrome (SARS)
coronavirus in 2002–2003 prompted efforts by modelers to characterize SARS epidemiology …

Modelling disease spread and control in networks: implications for plant sciences

MJ Jeger, M Pautasso, O Holdenrieder… - New …, 2007 - Wiley Online Library
Networks are ubiquitous in natural, technological and social systems. They are of increasing
relevance for improved understanding and control of infectious diseases of plants, animals …

Immune pathways and defence mechanisms in honey bees Apis mellifera

JD Evans, K Aronstein, YP Chen, C Hetru… - Insect molecular …, 2006 - Wiley Online Library
Social insects are able to mount both group‐level and individual defences against
pathogens. Here we focus on individual defences, by presenting a genome‐wide analysis of …

Voter model on heterogeneous graphs

V Sood, S Redner - Physical review letters, 2005 - APS
We study the voter model on heterogeneous graphs. We exploit the nonconservation of the
magnetization to characterize how consensus is reached. For a network of N nodes with an …

Network structure and parasite transmission in a group living lizard, the gidgee skink, Egernia stokesii

SS Godfrey, CM Bull, R James, K Murray - Behavioral Ecology and …, 2009 - Springer
Gidgee skinks (Egernia stokesii) form large social aggregations in rocky outcrops across the
Flinders Ranges in South Australia. Group members share refuges (rock crevices), which …

[HTML][HTML] Optimal and sub-optimal quarantine and isolation control in SARS epidemics

X Yan, Y Zou - Mathematical and computer modelling, 2008 - Elsevier
This paper discusses the application of optimal and sub-optimal controls to a SEQIJR SARS
model via the Pontryagin's Maximum Principle. To this end, two control variables …

[HTML][HTML] Early stage machine learning–based prediction of US county vulnerability to the COVID-19 pandemic: machine learning approach

M Mehta, J Julaiti, P Griffin… - JMIR public health and …, 2020 - publichealth.jmir.org
Background: The rapid spread of COVID-19 means that government and health services
providers have little time to plan and design effective response policies. It is therefore …

The effect of global travel on the spread of SARS

S Ruan, W Wang, SA Levin - Mathematical Biosciences & …, 2005 - aimsciences.org
The goal of this paper is to study the global spread of SARS. We propose a multiregional
compartmental model using medical geography theory (central place theory) and regarding …

Modelling development of epidemics with dynamic small-world networks

J Saramäki, K Kaski - Journal of theoretical biology, 2005 - Elsevier
We discuss the dynamics of a minimal model for spreading of infectious diseases, such as
various types of influenza. The spreading takes place on a dynamic small-world network and …

Epidemiological and genetic analysis of severe acute respiratory syndrome

CA Donnelly, MC Fisher, C Fraser… - The Lancet infectious …, 2004 - thelancet.com
The severe acute respiratory syndrome (SARS) epidemics in 2002–2003 showed how
quickly a novel infectious disease can spread both within communities and internationally …