Modeling the spatial spread of infectious diseases: The GLobal Epidemic and Mobility computational model
TLDR
The flexible structure of the model that is open to the inclusion of different disease structures and local intervention policies makes GLEaM suitable for the computational modeling and anticipation of the spatio-temporal patterns of global epidemic spreading.About:
This article is published in Journal of Computational Science.The article was published on 2010-08-01 and is currently open access. It has received 454 citations till now. The article focuses on the topics: Computational epidemiology.read more
Citations
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An Alternative Body Temperature Measurement Solution: Combination of a Highly Accurate Monitoring System and a Visualized Public Health Cloud Platform
Joe-Air Jiang,Jen-Cheng Wang,Chao-Liang Hsieh,Kai-Sheng Tseng,Zheng-Wei Ye,Lin-Kuei Su,Chih-Hong Sun,Tzai-Hung Wen,Jehn-Yih Juang +8 more
TL;DR: The proposed body temperature monitoring system with a thermography based on the Internet of Things architecture shows that the body temperature measured by the thermal imaging sensor in the system can accurately represent the actual body temperature after specific calibrations that take the environmental temperature into account.
Risk Analysis of International Spreading in 2014 Ebola Outbreak to China Compared to Social Media.
TL;DR: The risk analysis to assess the international spread risk from mentioned three African countries to China by GEM(Global Epidemic Mobility) Model is proposed and analysis of combining social network data with geographical demonstration and Chinese citizen sentiment towards this disaster is showed.
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Critical behavior in interdependent spatial spreading processes with distinct characteristic time scales
TL;DR: In this article, the authors study the critical properties of the epidemic process and its dependence on such a parameter and find that the critical threshold separating the absorbing state from the active state depends on the scale parameter and exhibits a critical behavior itself.
Journal ArticleDOI
Integration of Multiple Regression Model in an Epidemiological Decision Support System
TL;DR: One in five cases of influenza in India is diagnosed with influenza A, and one in 10 cases is infected with influenza B, according to the latest official statistics.
Journal ArticleDOI
The value of infectious disease modeling and trend assessment: a public health perspective.
Abstract: Disease outbreaks of acquired immunodeficiency syndrome, severe acute respiratory syndrome, pandemic H1N1, H7N9, H5N1, Ebola, Zika, Middle East respiratory syndrome, and recently COVID-19 have rais...
References
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On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations
TL;DR: It is shown that in certain special cases one can easily compute or estimate the expected number of secondary cases produced by a typical infected individual during its entire period of infectiousness in a completely susceptible population.
Journal ArticleDOI
The architecture of complex weighted networks
TL;DR: This work studies the scientific collaboration network and the world-wide air-transportation network, which are representative examples of social and large infrastructure systems, respectively, and defines appropriate metrics combining weighted and topological observables that enable it to characterize the complex statistical properties and heterogeneity of the actual strength of edges and vertices.
On the definition and the computation of the basic reproduction ratio : $R_ 0$ in models for infectious diseases in heterogeneous populations
TL;DR: In this paper, the expected number of secondary cases produced by a typical infected individual during its entire period of infectiousness in a completely susceptible population is defined as the dominant eigenvalue of a positive linear operator.
Journal ArticleDOI
Strategies for mitigating an influenza pandemic
Neil M. Ferguson,Derek A. T. Cummings,Christophe Fraser,James Cajka,Philip C. Cooley,Donald S. Burke +5 more
TL;DR: It is found that border restrictions and/or internal travel restrictions are unlikely to delay spread by more than 2–3 weeks unless more than 99% effective, and vaccine stockpiled in advance of a pandemic could significantly reduce attack rates even if of low efficacy.
Journal ArticleDOI
Modelling disease outbreaks in realistic urban social networks.
Stephen Eubank,Hasan Guclu,V. S. Anil Kumar,Madhav V. Marathe,Aravind Srinivasan,Zoltán Toroczkai,Nan Wang +6 more
TL;DR: The results suggest that outbreaks can be contained by a strategy of targeted vaccination combined with early detection without resorting to mass vaccination of a population.
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