Improved time-varying reproduction numbers using the generation interval for COVID-19 [PDF]
Frontiers in Public Health, 2023 Estimating key epidemiological parameters, such as incubation period, serial interval (SI), generation interval (GI) and latent period, is essential to quantify the transmissibility and effects of various interventions of COVID-19.
Tobhin Kim +7 more
doaj +2 more sources
Serial Interval and Generation Interval for Imported and Local Infectors, Respectively, Estimated Using Reported Contact-Tracing Data of COVID-19 in China [PDF]
Frontiers in Public Health, 2021 The emerging virus, COVID-19, has caused a massive outbreak worldwide. Based on the publicly available contact-tracing data, we identified 509 transmission chains from 20 provinces in China and estimated the serial interval (SI) and generation interval ...
Menghui Li +5 more
doaj +2 more sources
Estimating the generation interval and inferring the latent period of COVID-19 from the contact tracing data [PDF]
Epidemics, 2021 The coronavirus disease 2019 (COVID-19) emerged by end of 2019, and became a serious public health threat globally in less than half a year. The generation interval and latent period, though both are of importance in understanding the features of COVID ...
Shi Zhao +14 more
doaj +2 more sources
Genetic diversity evolution in the Mexican Charolais cattle population [PDF]
Animal Bioscience, 2021 Objective The aim was to characterize the genetic diversity evolution of the registered Mexican Charolais cattle population by pedigree analysis. Methods Data consisted of 331,390 pedigree records of animals born from 1934 to 2018.
Ángel Ríos-Utrera +5 more
doaj +1 more source
Genetic variability of Guzerat cattle raised in northern Brazil, based on pedigree analysis
Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 2022 Genealogical data comprised 45,711 animals born between 1901 and 2016, with 48,127 animals in the pedigree file. Population structure was analyzed in terms of pedigree completeness, individual inbreeding coefficient (F), generation interval (L), rate of ...
J.L. Ferreira +10 more
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Inference of the SARS-CoV-2 generation time using UK household data
eLife, 2022 The distribution of the generation time (the interval between individuals becoming infected and transmitting the virus) characterises changes in the transmission risk during SARS-CoV-2 infections.
William S Hart +8 more
doaj +1 more source
On generalized interval orders [PDF]
International Mathematical Forum, 2007 In this paper, we introduce the notion of generalized interval order (GIO) which extends the notion of interval order in non-transitive binary relations. This allow us to extend the classical representation theorem of Fishburn in [5]. We also provide sufficient conditions which ensure the existence of the Generalized Optimal Choice Set (GOCS) of GIOs ...
Andrikopoulos, A., Philippopoulou, E.
openaire +2 more sources
Using Proper Mean Generation Intervals in Modeling of COVID-19
Frontiers in Public Health, 2021 In susceptible–exposed–infectious–recovered (SEIR) epidemic models, with the exponentially distributed duration of exposed/infectious statuses, the mean generation interval (GI, time lag between infections of a primary case and its secondary case) equals
Xiujuan Tang +6 more
doaj +1 more source
The effectiveness of genomic selection for milk production traits of Holstein dairy cattle [PDF]
Asian-Australasian Journal of Animal Sciences, 2020 Objective This study was conducted to test the efficiency of genomic selection for milk production traits in a Korean Holstein cattle population. Methods A total of 506,481 milk production records from 293,855 animals (2,090 heads with single nucleotide ...
Yun-Mi Lee +6 more
doaj +1 more source
Epidemics with general generation interval distributions [PDF]
Journal of Theoretical Biology, 2010 We study the spread of susceptible-infected-recovered (SIR) infectious diseases where an individual's infectiousness and probability of recovery depend on his/her "age" of infection. We focus first on early outbreak stages when stochastic effects dominate and show that epidemics tend to happen faster than deterministic calculations predict.
Miller, Joel C. +4 more
openaire +3 more sources