Deterministic epidemic models overestimate the basic reproduction number of observed outbreaks [PDF]
The basic reproduction number, R0, is a well-known quantifier of epidemic spread. However, a class of existing methods for estimating R0 from incidence data early in the epidemic can lead to an over-estimation of this quantity.
Wajid Ali +3 more
doaj +2 more sources
Amplification of the basic reproduction number in cattle farm networks. [PDF]
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 +5 more sources
Estimation of the Basic Reproduction Number for the COVID-19 Pandemic in Minnesota. [PDF]
This paper focuses on the dynamics of the COVID-19 pandemic and estimation of associated real-time variables characterizing disease spread. A nonlinear dynamic model is developed which enhances the traditional SEIR epidemic model to include additional variables of hospitalizations, ICU admissions, and deaths.
Movahedi H, Zemouche A, Rajamani R.
europepmc +4 more sources
Basic Reproduction Number of Chikungunya Virus Transmitted by Aedes Mosquitoes [PDF]
We estimated the weighted mean basic reproduction number (R0) of chikungunya virus based on outbreak size. R0 was 3.4 (95% CI 2.4–4.2) and varied for 2 primary chikungunya mosquito vectors: 4.1 (95% CI 1.5–6.6) for Aedes aegypti and 2.8 (95% CI 1.8–3.8 ...
Najmul Haider +4 more
doaj +2 more sources
Genealogy with seasonality, the basic reproduction number, and the influenza pandemic [PDF]
The basic reproduction number R (0) has been used in population biology, especially in epidemiology, for several decades. But a suitable definition in the case of models with periodic coefficients was given only in recent years. The definition involves the spectral radius of an integral operator.
Nicolas Bacaër, Bacaër Nicolas
exaly +5 more sources
Effects of Demographic and Weather Parameters on COVID-19 Basic Reproduction Number
It is hard to overstate the importance of a timely prediction of the COVID-19 pandemic progression. Yet, this is not possible without a comprehensive understanding of environmental factors that may affect the infection transmissibility.
Igor Salom +5 more
doaj +2 more sources
Convex Optimization of the Basic Reproduction Number
The basic reproduction number $R_0$ is a fundamental quantity in epidemiological modeling, reflecting the typical number of secondary infections that arise from a single infected individual. While $R_0$ is widely known to scientists, policymakers, and the general public, it has received comparatively little attention in the controls community.
Kevin D. Smith, Francesco Bullo
openaire +2 more sources
Dynamic mapping of dengue basic reproduction number
We developed a method to produce time-varying maps for dengue transmission risk, using the Ross-Macdonald framework and differential equations to estimate spatially the basic reproduction number (R0) of a vector-borne disease.
Samuel Benkimoun +6 more
doaj +1 more source
The Dynamic Effective Reproductive Number of COVID-19 during the Epidemic in Iran
Background: We aimed to determine the generation time, the best model for estimating reproduction number (R), and to estimate the basic reproduction number (R0) and effective reproduction number (Rt) for COVID-19 in Iran.
Amin Doosti-Irani +6 more
doaj +1 more source
The basic reproduction number for scrapie [PDF]
The basic reproduction number R0 provides a quantitative assessment of the ability of an infectious agent to invade a susceptible host population. A mathematical expression for R0 is derived based on a recently developed model for the spread of scrapie through a flock of sheep.
L, Matthews, M E, Woolhouse, N, Hunter
openaire +2 more sources

