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[HTML][HTML] AI for science: predicting infectious diseases
The global health landscape has been persistently challenged by the emergence and re-
emergence of infectious diseases. Traditional epidemiological models, rooted in the early …
emergence of infectious diseases. Traditional epidemiological models, rooted in the early …
Questioning the seasonality of SARS-COV-2: a Fourier spectral analysis
Objectives To investigate the hypothesis of a seasonal periodicity, driven by climate, in the
contagion resurgence of COVID-19 in the period February 2020–December 2021. Design …
contagion resurgence of COVID-19 in the period February 2020–December 2021. Design …
[HTML][HTML] Explicit formulae for the peak time of an epidemic from the SIR model. Which approximant to use?
An analytic evaluation of the peak time of a disease allows for the installment of effective
epidemic precautions. Recently, an explicit analytic, approximate expression (MT) for the …
epidemic precautions. Recently, an explicit analytic, approximate expression (MT) for the …
[HTML][HTML] Impact of human mobility on COVID-19 transmission according to mobility distance, location, and demographic factors in the Greater Bay Area of China …
Background: Mobility restriction was one of the primary measures used to restrain the
spread of COVID-19 globally. Governments implemented and relaxed various mobility …
spread of COVID-19 globally. Governments implemented and relaxed various mobility …
Implementation of Laplace Adomian decomposition and differential transform methods for Sars-Cov-2 model
This study focuses on SIR model for SARS-CoV-2. The SIR model classifies a population
into three compartments: susceptible S (t), infected I (t), and recovered R (t) individuals. The …
into three compartments: susceptible S (t), infected I (t), and recovered R (t) individuals. The …
A Bayesian framework for modeling COVID‐19 case numbers through longitudinal monitoring of SARS‐CoV‐2 RNA in wastewater
Wastewater‐based surveillance has become an important tool for research groups and
public health agencies investigating and monitoring the COVID‐19 pandemic and other …
public health agencies investigating and monitoring the COVID‐19 pandemic and other …
[HTML][HTML] An agent-based model with antibody dynamics information in COVID-19 epidemic simulation
Z Xu, J Song, W Liu, D Wei - Infectious Disease Modelling, 2023 - Elsevier
Accurate prediction of the temporal and spatial characteristics of COVID-19 infection is of
paramount importance for effective epidemic prevention and control. In order to accomplish …
paramount importance for effective epidemic prevention and control. In order to accomplish …
Long-term prediction of the COVID-19 epidemics induced by Omicron-virus in China based on a novel non-autonomous delayed SIR model
L Pei, D Liu - Journal of Physics A: Mathematical and Theoretical, 2023 - iopscience.iop.org
Since the outbreak of COVID-19, the severe acute respiratory syndrome coronavirus 2
genome is still mutating. Omicron, a recently emerging virus with a shorter incubation period …
genome is still mutating. Omicron, a recently emerging virus with a shorter incubation period …
Highlighting the impact of social relationships on the propagation of respiratory viruses using percolation theory
JF Mathiot, L Gerbaud, V Breton - Scientific Reports, 2021 - nature.com
We develop a site-bond percolation model, called PERCOVID, in order to describe the time
evolution of all epidemics propagating through respiratory tract or by skin contacts in human …
evolution of all epidemics propagating through respiratory tract or by skin contacts in human …
Prevalence Estimation Methods for Time-Dependent Antibody Kinetics of Infected and Vaccinated Individuals: A Markov Chain Approach
Immune events such as infection, vaccination, and a combination of the two result in distinct
time-dependent antibody responses in affected individuals. These responses and event …
time-dependent antibody responses in affected individuals. These responses and event …