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  1. 28 maj 2020 · We compare the whole-society infection growth rates for many countries and local regions, to illustrate the common physical and mathematical basis for the viral spread and infection rate reduction, and validate the theory and resulting correlations.

  2. 4 gru 2021 · Mathematical simulation models for transmission have implications in solving public and personal health challenges. The SIR model uses a compartmental approach including dynamic and nonlinear behavior of transmission through three factors: susceptible, infected, and removed (recovered and deceased) individuals.

  3. 1 lip 2021 · The author of (Coro, 2020) introduced a means of establishing the infection rate of COVID-19 globally at a 0.5° resolution via a Maximum Entropy based Ecological Niche Model (ME-ENM). This model was designed to identify geographical areas as a potential that is subject to a high infection rate.

  4. Methods: This quantitative study sought to explore different statistical methods that can be used to evaluate trend data to improve decision-making and public information on the spread of COVID-19.

  5. 3 gru 2020 · Global efforts to “flatten the curve” of COVID-19 cases translate quantitatively to decreasing epidemiological statistics like doubling rates via social distancing campaigns, improved...

  6. This article focuses on a statistical analysis of the corona virus disease 2019 (COVID-19) data that appeared until November 31, 2020 in Poland.

  7. 19 maj 2021 · Research articles. Covid-19: predictive mathematical formulae for the number of deaths during lockdown and possible scenarios for the post-lockdown period. Athanassios S. Fokas. , Nikolaos Dikaios. and. George A. Kastis. Published: 19 May 2021 https://doi.org/10.1098/rspa.2020.0745. Abstract.