Results 21 to 30 of about 1,511,149 (326)

Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak

open access: greenbioRxiv, 2020
Backgrounds An ongoing outbreak of a novel coronavirus (2019-nCoV) pneumonia hit a major city of China, Wuhan, December 2019 and subsequently reached other provinces/regions of China and countries.
Shi Zhao   +10 more
openalex   +2 more sources

Social, economic, and environmental factors influencing the basic reproduction number of COVID-19 across countries [PDF]

open access: yesPLoS One, 2021
Objective: To assess whether the basic reproduction number (R0) of COVID-19 is different across countries and what national-level demographic, social, and environmental factors characterize initial vulnerability to the virus.
Kong JD, Tekwa EW, Gignoux-Wolfsohn SA.
europepmc   +3 more sources

Estimation of the basic reproduction number (R0) for the novel coronavirus disease in Sri Lanka

open access: yesVirology Journal, 2020
Background The basic reproduction number (R0) is the number of cases directly caused by an infected individual throughout his infectious period. R0 is used to determine the ability of a disease to spread within a given population. The reproduction number
Samath Dharmaratne   +5 more
doaj   +2 more sources

The basic reproduction number of COVID-19 across Africa

open access: yesmedRxiv, 2021
The pandemic of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) took the world by surprise. Following the first outbreak of COVID-19 in December 2019, several models have been developed to study and understand its transmission dynamics ...
Iyaniwura SA   +3 more
europepmc   +2 more sources

Studies on the basic reproduction number in stochastic epidemic models with random perturbations. [PDF]

open access: yesAdv Differ Equ, 2021
In this paper, we discuss the basic reproduction number of stochastic epidemic models with random perturbations. We define the basic reproduction number in epidemic models by using the integral of a function or survival function.
Ríos-Gutiérrez A   +2 more
europepmc   +2 more sources

The basic reproduction number, $R_0$, in structured populations [PDF]

open access: yesMathematical Biosciences, 2019
In this paper, we provide a straightforward approach to defining and deriving the key epidemiological quantity, the basic reproduction number, $R_0$, for Markovian epidemics in structured populations.
Neal, Peter, Theparod, Thitiya
core   +5 more sources

Dengue disease, basic reproduction number and control [PDF]

open access: yesInternational Journal of Computer Mathematics, 2011
Dengue is one of the major international public health concerns. Although progress is underway, developing a vaccine against the disease is challenging. Thus, the main approach to fight the disease is vector control.
Alan Zinober   +9 more
core   +9 more sources

Efficient numerical computation of the basic reproduction number for structured populations. [PDF]

open access: yesJ Comput Appl Math, 2021
As widely known, the basic reproduction number plays a key role in weighing birth/infection and death/recovery processes in several models of population dynamics. In this general setting, its characterization as the spectral radius of next generation operators is rather elegant, but simultaneously poses serious obstacles to its practical determination.
Breda D   +3 more
europepmc   +8 more sources

On the basic reproduction number in semi-Markov switching networks [PDF]

open access: yesJournal of Biological Dynamics, 2021
Basic reproduction number $ \mathcal {R}_0 $ in network epidemic dynamics is studied in the case of stochastic regime-switching networks. For generality, the dependence between successive networks is considered to follow a continuous time semi-Markov ...
Xiaochun Cao   +3 more
doaj   +3 more sources

Amplification of the basic reproduction number in cattle farm networks. [PDF]

open access: yesPLoS ONE, 2018
The popularly known 20-80 rule or Pareto rule states that 20% of efforts leads to 80% of results. This rule has been applied to the study of infection transmission in contact networks, and specifically, contact networks between cattle farms.
Beatriz Vidondo
doaj   +6 more sources

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