Modelling Infection Dynamics and Evolution of Viruses in Plant Populations

2015 ◽  
pp. 89-93
Author(s):  
Aurora Fraile ◽  
Fernando García-Arenal
Keyword(s):  
Plant Populations ◽  
Infection Dynamics ◽  
Evolution Of Viruses

Infection dynamics of Kudoa inornata (Cnidaria: Myxosporea) in spotted seatrout Cynoscion nebulosus (Teleostei: Sciaenidae)

2017 ◽  
Vol 127 (1) ◽  
pp. 29-40 ◽  
Author(s):  
I de Buron ◽  
KM Hill-Spanik ◽  
L Haselden ◽  
SD Atkinson ◽  
SL Hallett ◽  
...  
Keyword(s):  
Spotted Seatrout ◽  
Cynoscion Nebulosus ◽  
Infection Dynamics

Variability in Soybean Progenies Developed by Single Seed Descent at Two Plant Populations 1

Crop Science ◽  
1978 ◽  
Vol 18 (3) ◽  
pp. 359-362 ◽  
Author(s):  
R. J. Martin ◽  
J. R. Wilcox ◽  
F. A. Laviolette
Keyword(s):  
Single Seed Descent ◽  
Plant Populations ◽  
Single Seed

Is tracking and modeling Covid-19 infection dynamics for Bangladesh using daily data feasible? (Preprint)

2020 ◽  
Author(s):  
Karar Zunaid Ahsan ◽  
Rashida Ijdi ◽  
Peter Kim Streatfield
Keyword(s):  
Test Results ◽  
Infection Rates ◽  
Causality Test ◽  
Vector Autoregressive Models ◽  
Vector Autoregressive ◽  
Daily Number ◽  
Infection Dynamics ◽  
Daily Data ◽  
Daily Change ◽  
Testing Coverage

UNSTRUCTURED Given the low Covid-19 testing coverage in the country, this study tested whether the daily change in the number of new Covid-19 cases is due to increase (or decrease) in the number of tests done daily. We performed Granger causality test based on vector autoregressive models on Bangladesh case and test numbers between 8 March and 5 June 2020, using publicly available data. The test results show that the daily number of tests Granger-cause the number of new cases (p <0.001), meaning the daily number of new cases is perhaps due to an increase in test capacity rather than a change in the infection rates. From the results of this test we can infer that if the number of daily tests does not increase substantially, data on new infections will not give much information for understanding covid-19 infection dynamics in Bangladesh.

scholarly journals Phylogenomic Evidence of Reinfection and Persistence of SARS-CoV-2: First Report from Colombia

Vaccines ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 282
Author(s):  
Juan David Ramírez ◽  
Marina Muñoz ◽  
Nathalia Ballesteros ◽  
Luz H. Patiño ◽  
Sergio Castañeda ◽  
...  
Keyword(s):  
Viral Persistence ◽  
Transmission Dynamics ◽  
Polymorphism Analysis ◽  
Rt Pcr ◽  
Paired Samples ◽  
Infection Dynamics ◽  
Oxford Nanopore ◽  
Novel Variants ◽  
First Time ◽  
Oxford Nanopore Technologies

The continuing evolution of SARS-CoV-2 and the emergence of novel variants have raised concerns about possible reinfection events and potential changes in the coronavirus disease 2019 (COVID-19) transmission dynamics. Utilizing Oxford Nanopore technologies, we sequenced paired samples of three patients with positive RT-PCR results in a 1–2-month window period, and subsequent phylogenetics and genetic polymorphism analysis of these genomes was performed. Herein, we report, for the first time, genomic evidence of one case of reinfection in Colombia, exhibiting different SARS-CoV-2 lineage classifications between samples (B.1 and B.1.1.269). Furthermore, we report two cases of possible viral persistence, highlighting the importance of deepening our understanding on the evolutionary intra-host traits of this virus throughout different timeframes of disease progression. These results emphasize the relevance of genomic surveillance as a tool for understanding SARS-CoV-2 infection dynamics, and how this may translate effectively to future control and mitigations efforts, such as the national vaccination program.

scholarly journals Modeling Epidemic Spread among a Commuting Population Using Transport Schemes

Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1861
Author(s):  
Daniela Calvetti ◽  
Alexander P. Hoover ◽  
Johnie Rose ◽  
Erkki Somersalo
Keyword(s):  
Network Model ◽  
Transport Theory ◽  
Optimal Transport ◽  
State Level ◽  
Compartment Model ◽  
Census Bureau ◽  
Mitigation Strategies ◽  
Mitigation Measures ◽  
Metapopulation Model ◽  
Infection Dynamics

Understanding the dynamics of the spread of COVID-19 between connected communities is fundamental in planning appropriate mitigation measures. To that end, we propose and analyze a novel metapopulation network model, particularly suitable for modeling commuter traffic patterns, that takes into account the connectivity between a heterogeneous set of communities, each with its own infection dynamics. In the novel metapopulation model that we propose here, transport schemes developed in optimal transport theory provide an efficient and easily implementable way of describing the temporary population redistribution due to traffic, such as the daily commuter traffic between work and residence. Locally, infection dynamics in individual communities are described in terms of a susceptible-exposed-infected-recovered (SEIR) compartment model, modified to account for the specific features of COVID-19, most notably its spread by asymptomatic and presymptomatic infected individuals. The mathematical foundation of our metapopulation network model is akin to a transport scheme between two population distributions, namely the residential distribution and the workplace distribution, whose interface can be inferred from commuter mobility data made available by the US Census Bureau. We use the proposed metapopulation model to test the dynamics of the spread of COVID-19 on two networks, a smaller one comprising 7 counties in the Greater Cleveland area in Ohio, and a larger one consisting of 74 counties in the Pittsburgh–Cleveland–Detroit corridor following the Lake Erie’s American coastline. The model simulations indicate that densely populated regions effectively act as amplifiers of the infection for the surrounding, less densely populated areas, in agreement with the pattern of infections observed in the course of the COVID-19 pandemic. Computed examples show that the model can be used also to test different mitigation strategies, including one based on state-level travel restrictions, another on county level triggered social distancing, as well as a combination of the two.

scholarly journals The Characteristics and Geographical Features of Plant Populations in the Forest Region of Wanda Mountains

2021 ◽  
Vol 687 (1) ◽  
pp. 012200
Author(s):  
Jialin Li ◽  
Jiao Yang ◽  
XueWei Sun ◽  
Jincheng Luo ◽  
Hongbin Qiu ◽  
...  
Keyword(s):  
Plant Populations ◽  
Forest Region
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