Cargando…

Epigrass: a tool to study disease spread in complex networks

BACKGROUND: The construction of complex spatial simulation models such as those used in network epidemiology, is a daunting task due to the large amount of data involved in their parameterization. Such data, which frequently resides on large geo-referenced databases, has to be processed and assigned...

Descripción completa

Detalles Bibliográficos
Autores principales:	Coelho, Flávio C, Cruz, Oswaldo G, Codeço, Cláudia T
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2008
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275240/ https://www.ncbi.nlm.nih.gov/pubmed/18302744 http://dx.doi.org/10.1186/1751-0473-3-3

Ejemplares similares

Assessing the spread of COVID-19 in Brazil: Mobility, morbidity and social vulnerability
por: Coelho, Flávio C., et al.
Publicado: (2020)

Dynamic Modeling of Vaccinating Behavior as a Function of Individual Beliefs
por: Coelho, Flávio Codeço, et al.
Publicado: (2009)

A modelling approach for correcting reporting delays in disease surveillance data
por: Bastos, Leonardo S, et al.
Publicado: (2019)

Epidemic models and their use: Comment on “Mathematical models for dengue fever epidemiology: A 10-year systematic review” by Aguiar et al.
por: Codeço, Claudia T., et al.
Publicado: (2023)

Trends in Cholera Epidemiology
por: Codeço, Claudia T, et al.
Publicado: (2006)

Zika is not a reason for missing the Olympic Games in Rio de Janeiro: response to the open letter of Dr Attaran and colleagues to Dr Margaret Chan, Director - General, WHO, on the Zika threat to the Olympic and Paralympic Games
por: Codeço, Claudia, et al.
Publicado: (2016)

A Bayesian Framework for Parameter Estimation in Dynamical Models
por: Coelho, Flávio Codeço, et al.
Publicado: (2011)

Effective distances for epidemics spreading on complex networks
por: Iannelli, Flavio, et al.
Publicado: (2017)

Estimating under-observation and the full size of the 2016 Zika epidemic in Rio de Janeiro
por: Bastos, Marcio M., et al.
Publicado: (2018)

The expansion of chikungunya in Brazil
por: Ferreira de Almeida, Iasmim, et al.
Publicado: (2023)

Decentralising scientific publishing: can the blockchain improve science communication?
por: Coelho, Flávio Codeço, et al.
Publicado: (2019)

Fast expansion of dengue in Brazil
por: Codeco, Claudia T., et al.
Publicado: (2022)

Epidemic spreading in complex networks
por: Zhou, Jie, et al.
Publicado: (2008)

Coevolution spreading in complex networks
por: Wang, Wei, et al.
Publicado: (2019)

Spreading predictability in complex networks
por: Zhao, Na, et al.
Publicado: (2021)

Estimating the Attack Ratio of Dengue Epidemics under Time-varying Force of Infection using Aggregated Notification Data
por: Coelho, Flavio Codeço, et al.
Publicado: (2015)

Modeling Basins of Attraction for Breast Cancer Using Hopfield Networks
por: Conforte, Alessandra Jordano, et al.
Publicado: (2020)

COVID-19 in Switzerland real-time epidemiological analyses powered by EpiGraphHub
por: Coelho, Flávio Codeço, et al.
Publicado: (2022)

Mathematical model of the dynamics of transmission and control of sporotrichosis in domestic cats
por: Araújo, Aurélio A., et al.
Publicado: (2023)

Behavioral Modulation of Infestation by Varroa destructor in Bee Colonies. Implications for Colony Stability
por: de Figueiró Santos, Joyce, et al.
Publicado: (2016)

Predicting the evolution of spreading on complex networks
por: Chen, Duan-Bing, et al.
Publicado: (2014)

Spreading to localized targets in complex networks
por: Sun, Ye, et al.
Publicado: (2016)

A Framework for Weather-Driven Dengue Virus Transmission Dynamics in Different Brazilian Regions
por: Alves, Leon Diniz, et al.
Publicado: (2021)

Disease spreading in complex networks: A numerical study with Principal Component Analysis
por: Schimit, P.H.T., et al.
Publicado: (2018)

Faster indicators of chikungunya incidence using Google searches
por: Miller, Sam, et al.
Publicado: (2022)

Impact of the distribution of recovery rates on disease spreading in complex networks
por: de Arruda, Guilherme Ferraz, et al.
Publicado: (2020)

Identifying influential spreaders in complex networks for disease spread and control
por: Wei, Xiang, et al.
Publicado: (2022)

Can Zika Account for the Missing Babies?
por: Coelho, Flávio Codeço, et al.
Publicado: (2017)

Network isolators inhibit failure spreading in complex networks
por: Kaiser, Franz, et al.
Publicado: (2021)

Complexity in the dengue spreading: A network analysis approach
por: Lima, L. L., et al.
Publicado: (2023)

Dengue prediction by the web: Tweets are a useful tool for estimating and forecasting Dengue at country and city level
por: Marques-Toledo, Cecilia de Almeida, et al.
Publicado: (2017)

Epidemic spreading on complex networks with community structures
por: Stegehuis, Clara, et al.
Publicado: (2016)

Development, environmental degradation, and disease spread in the Brazilian Amazon
por: Castro, Marcia C., et al.
Publicado: (2019)

Effects of delayed recovery and nonuniform transmission on the spreading of diseases in complex networks
por: Xia, Cheng-yi, et al.
Publicado: (2013)

Sex-Specific Asymmetrical Attack Rates in Combined Sexual-Vectorial Transmission Epidemics
por: de Barros, Ana Carolina W. G., et al.
Publicado: (2019)

Asymmetrically interacting spreading dynamics on complex layered networks
por: Wang, Wei, et al.
Publicado: (2014)

Impact of media coverage on epidemic spreading in complex networks
por: Wang, Yi, et al.
Publicado: (2013)

Impact of contact rate on epidemic spreading in complex networks
por: Pei, Huayan, et al.
Publicado: (2023)

An in-depth statistical analysis of the COVID-19 pandemic’s initial spread in the WHO African region
por: James, Ananthu, et al.
Publicado: (2022)

Fast and accurate detection of spread source in large complex networks
por: Paluch, Robert, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_d9gf42m06kqjecct7rgsnbgi9h