[HTML][HTML] AI for science: predicting infectious diseases

AP Zhao, S Li, Z Cao, PJH Hu, J Wang, Y **ang… - Journal of safety science …, 2024 - Elsevier
The global health landscape has been persistently challenged by the emergence and re-
emergence of infectious diseases. Traditional epidemiological models, rooted in the early …

Questioning the seasonality of SARS-COV-2: a Fourier spectral analysis

R Cappi, L Casini, D Tosi, M Roccetti - BMJ open, 2022 - bmjopen.bmj.com
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 …

[HTML][HTML] Explicit formulae for the peak time of an epidemic from the SIR model. Which approximant to use?

M Kröger, M Turkyilmazoglu, R Schlickeiser - Physica D: Nonlinear …, 2021 - Elsevier
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 …

[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 …

J **a, K Yin, Y Yue, Q Li, X Wang, D Hu… - JMIR Public Health …, 2023 - publichealth.jmir.org
Background: Mobility restriction was one of the primary measures used to restrain the
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

N Jeeva, KM Dharmalingam, SE Fadugba… - Journal of applied …, 2024 - koreascience.kr
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 …

A Bayesian framework for modeling COVID‐19 case numbers through longitudinal monitoring of SARS‐CoV‐2 RNA in wastewater

X Dai, N Acosta, X Lu, CRJ Hubert, J Lee… - Statistics in …, 2024 - Wiley Online Library
Wastewater‐based surveillance has become an important tool for research groups and
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 …

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 …

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 …

Prevalence Estimation Methods for Time-Dependent Antibody Kinetics of Infected and Vaccinated Individuals: A Markov Chain Approach

P Bedekar, RA Luke, AJ Kearsley - Bulletin of Mathematical Biology, 2025 - Springer
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 …