Literature DB >> 34958426

Modeling the Waves of Covid-19.

Ivan Cherednik1,2.   

Abstract

The challenges with modeling the spread of Covid-19 are its power-type growth during the middle stages of the waves with the exponents depending on time, and that the saturation of the waves is mainly due to the protective measures and other restriction mechanisms working in the same direction. The two-phase solution we propose for modeling the total number of detected cases of Covid-19 describes the actual curves for many its waves and in many countries almost with the accuracy of physics laws. Bessel functions play the key role in our approach. The differential equations we obtain are of universal type and can be used in behavioral psychology, invasion ecology (transient processes), etc. The initial transmission rate and the intensity of the restriction mechanisms are the key parameters. This theory provides a convincing explanation of the surprising uniformity of the Covid-19 waves in many places, and can be used for forecasting the epidemic spread. For instance, the early projections for the 3rd wave in the USA appeared sufficiently exact. The Delta-waves (2021) in India, South Africa, UK, and the Netherlands are discussed at the end.
© 2021. Springer Nature B.V.

Entities:  

Keywords:  Bessel functions; Epidemics; Invasion; Modeling epidemics; Power law

Mesh:

Year:  2021        PMID: 34958426      PMCID: PMC8711230          DOI: 10.1007/s10441-021-09428-w

Source DB:  PubMed          Journal:  Acta Biotheor        ISSN: 0001-5342            Impact factor:   1.185


  15 in total

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2.  The many guises of R0 (a didactic note).

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3.  Modeling infectious disease dynamics.

Authors:  Sarah Cobey
Journal:  Science       Date:  2020-04-24       Impact factor: 47.728

4.  Bayesian-based predictions of COVID-19 evolution in Texas using multispecies mixture-theoretic continuum models.

Authors:  Prashant K Jha; Lianghao Cao; J Tinsley Oden
Journal:  Comput Mech       Date:  2020-07-31       Impact factor: 4.014

5.  Memory-based meso-scale modeling of Covid-19: County-resolved timelines in Germany.

Authors:  Andreas Kergaßner; Christian Burkhardt; Dorothee Lippold; Matthias Kergaßner; Lukas Pflug; Dominik Budday; Paul Steinmann; Silvia Budday
Journal:  Comput Mech       Date:  2020-08-03       Impact factor: 4.014

6.  A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2.

Authors:  Tom Britton; Frank Ball; Pieter Trapman
Journal:  Science       Date:  2020-06-23       Impact factor: 47.728

7.  Strong correlations between power-law growth of COVID-19 in four continents and the inefficiency of soft quarantine strategies.

Authors:  Cesar Manchein; Eduardo L Brugnago; Rafael M da Silva; Carlos F O Mendes; Marcus W Beims
Journal:  Chaos       Date:  2020-04       Impact factor: 3.642

Review 8.  Are RNA Viruses Candidate Agents for the Next Global Pandemic? A Review.

Authors:  R Carrasco-Hernandez; Rodrigo Jácome; Yolanda López Vidal; Samuel Ponce de León
Journal:  ILAR J       Date:  2017-12-15
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  1 in total

1.  Estimation of the Serial Interval and the Effective Reproductive Number of COVID-19 Outbreak Using Contact Data in Burkina Faso, a Sub-Saharan African Country.

Authors:  Serge M A Somda; Boukary Ouedraogo; Constant B Pare; Seni Kouanda
Journal:  Comput Math Methods Med       Date:  2022-09-25       Impact factor: 2.809

  1 in total

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