» Articles » PMID: 32760158

Change in Global Transmission Rates of COVID-19 Through May 6 2020

Overview
Journal PLoS One
Date 2020 Aug 8
PMID 32760158
Citations 10
Authors
Affiliations
Soon will be listed here.
Abstract

We analyzed COVID-19 data through May 6th, 2020 using a partially observed Markov process. Our method uses a hybrid deterministic and stochastic formalism that allows for time variable transmission rates and detection probabilities. The model was fit using iterated particle filtering to case count and death count time series from 55 countries. We found evidence for a shrinking epidemic in 30 of the 55 examined countries. Of those 30 countries, 27 have significant evidence for subcritical transmission rates, although the decline in new cases is relatively slow compared to the initial growth rates. Generally, the transmission rates in Europe were lower than in the Americas and Asia. This suggests that global scale social distancing efforts to slow the spread of COVID-19 are effective although they need to be strengthened in many regions and maintained in others to avoid further resurgence of COVID-19. The slow decline also suggests alternative strategies to control the virus are needed before social distancing efforts are partially relaxed.

Citing Articles

A modified Susceptible-Infected-Recovered model for observed under-reported incidence data.

Trejo I, Hengartner N PLoS One. 2022; 17(2):e0263047.

PMID: 35139110 PMC: 8827465. DOI: 10.1371/journal.pone.0263047.


Bayesian Inference of State-Level COVID-19 Basic Reproduction Numbers across the United States.

Mallela A, Neumann J, Miller E, Chen Y, Posner R, Lin Y Viruses. 2022; 14(1).

PMID: 35062361 PMC: 8780010. DOI: 10.3390/v14010157.


Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset.

Fayemiwo M, Olowookere T, Arekete S, Ogunde A, Odim M, Oguntunde B PeerJ Comput Sci. 2021; 7:e614.

PMID: 34435093 PMC: 8356654. DOI: 10.7717/peerj-cs.614.


Nine Months of COVID-19 Pandemic in Europe: A Comparative Time Series Analysis of Cases and Fatalities in 35 Countries.

Meintrup D, Nowak-Machen M, Borgmann S Int J Environ Res Public Health. 2021; 18(12).

PMID: 34205809 PMC: 8296382. DOI: 10.3390/ijerph18126680.


A data driven change-point epidemic model for assessing the impact of large gathering and subsequent movement control order on COVID-19 spread in Malaysia.

Dass S, Kwok W, Gibson G, Gill B, Sundram B, Singh S PLoS One. 2021; 16(5):e0252136.

PMID: 34043676 PMC: 8158983. DOI: 10.1371/journal.pone.0252136.


References
1.
Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y . Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia. N Engl J Med. 2020; 382(13):1199-1207. PMC: 7121484. DOI: 10.1056/NEJMoa2001316. View

2.
. Clinical and virologic characteristics of the first 12 patients with coronavirus disease 2019 (COVID-19) in the United States. Nat Med. 2020; 26(6):861-868. DOI: 10.1038/s41591-020-0877-5. View

3.
Wolfel R, Corman V, Guggemos W, Seilmaier M, Zange S, Muller M . Virological assessment of hospitalized patients with COVID-2019. Nature. 2020; 581(7809):465-469. DOI: 10.1038/s41586-020-2196-x. View

4.
Dong E, Du H, Gardner L . An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis. 2020; 20(5):533-534. PMC: 7159018. DOI: 10.1016/S1473-3099(20)30120-1. View

5.
King A, Domenech de Celles M, Magpantay F, Rohani P . Avoidable errors in the modelling of outbreaks of emerging pathogens, with special reference to Ebola. Proc Biol Sci. 2015; 282(1806):20150347. PMC: 4426634. DOI: 10.1098/rspb.2015.0347. View