Zobrazeno 1 - 10
of 967
pro vyhledávání: '"Epidemic spread"'
Autor:
Ziqiang Cheng, Jin Wang
Publikováno v:
Infectious Disease Modelling, Vol 8, Iss 3, Pp 920-938 (2023)
We propose a new mathematical and computational modeling framework that incorporates fluid dynamics to study the spatial spread of infectious diseases. We model the susceptible and infected populations as two inviscid fluids which interact with each
Externí odkaz:
https://doaj.org/article/80416eee94d445da94ace5e894912978
Autor:
Linzhi Shan, Hongbo Sun
Publikováno v:
International Journal of Crowd Science, Vol 6, Iss 3, Pp 117-127 (2022)
In this paper, the Crowd Intelligence Network Model is applied to the simulation of epidemic spread. This model combines the multi-layer coupling network model and the two-stage feedback member model to study the epidemic spread mechanisms under mult
Externí odkaz:
https://doaj.org/article/c660bce19c0f4acabd137eb77b69000c
Akademický článek
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Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/67394b6196c547d29d896d1b97235949
Autor:
David Niño-Torres, Andrés Ríos-Gutiérrez, Viswanathan Arunachalam, Comfort Ohajunwa, Padmanabhan Seshaiyer
Publikováno v:
Infectious Disease Modelling, Vol 7, Iss 1, Pp 199-211 (2022)
In this paper, a stochastic epidemiological model is presented as an extension of a compartmental SEIR model with random perturbations to analyze the dynamics of the COVID-19 pandemic in the city of Bogotá D.C., Colombia. This model incorporates the
Externí odkaz:
https://doaj.org/article/43f56376f0d04964961b8b7d34f4e16d
Autor:
Roman Zúñiga Macías, Humberto Gutiérrez-Pulido, Edgar Alejandro Guerrero Arroyo, Abel Palafox González
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 4, Pp 4237-4259 (2022)
Pandemic due to SARS-CoV-2 (COVID-19) has affected to world in several aspects: high number of confirmed cases, high number of deaths, low economic growth, among others. Understanding of spatio-temporal dynamics of the virus is helpful and necessary
Externí odkaz:
https://doaj.org/article/b895c45871724e709ca25908f7cdf19e
Autor:
Juan De Anda-Suarez, Valentin Calzada-Ledesma, David Asael Gutierrez-Hernandez, Raul Santiago-Montero, Luis Fernando Villanueva-Jimenez, Sergio Rodriguez-Miranda
Publikováno v:
IEEE Access, Vol 10, Pp 7326-7340 (2022)
Coronavirus disease 2019 (COVID-19) is a highly communicable viral infection caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2), which has spread rapidly throughout the world. From a computer science point of view, research eff
Externí odkaz:
https://doaj.org/article/4be0d620081a4279a6c24f82e119e2b8
Autor:
Harry César Ntumba Kayembe, Catherine Linard, Didier Bompangue, Jérémie Muwonga, Michel Moutschen, Hippolyte Situakibanza, Pierre Ozer
Publikováno v:
BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background Cholera outbreaks in western Democratic Republic of the Congo (DRC) are thought to be primarily the result of westward spread of cases from the Great Lakes Region. However, other patterns of spatial spread in this part of the coun
Externí odkaz:
https://doaj.org/article/24b5042dac7e45aa9998a9691977a174
Autor:
Robert Harper, Philip Tee
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-26 (2021)
Abstract The structure of complex networks has long been understood to play a role in transmission and spreading phenomena on a graph. Such networks form an important part of the structure of society, including transportation networks. As society fig
Externí odkaz:
https://doaj.org/article/8754e08ce81d46bf9ce2e4051c1029c8
Akademický článek
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