scispace - formally typeset
Search or ask a question

Showing papers in "Bulletin of Mathematical Biology in 2022"


Journal ArticleDOI
TL;DR: In this article , a simple epidemic model was developed and fitted to reported COVID-19 deaths in 12 African countries using iterated filtering and allowing a flexible transmission rate, observing high heterogeneity in the case-fatality rate across the countries.

14 citations


Journal ArticleDOI
Y. Zou, Wei Yang, Junjie Lai, Jiawen Hou, Wei Lin 
TL;DR: Wang et al. as discussed by the authors established a multiple patch coupled model based on the transportation network among the 31 provinces in China, under the combined strategies of vaccination and quarantine during large-scale population migration.

14 citations


Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors established a multiple patch coupled model based on the transportation network among the 31 provinces in China, under the combined strategies of vaccination and quarantine during large-scale population migration.

13 citations


Journal ArticleDOI
TL;DR: The authors highlights the pros and cons of using simple (often identifiable) vs. complex (more physiologically detailed but often non-identifiable) models, as well as aspects of parameter identifiability, sensitivity and inference methodologies for model development and analysis.

12 citations


Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper employed a dynamic-based approach to calibrate the accumulated clinically diagnosed data with a sudden jump on February 12 and 13, and found that the combined multiple measures are essential to curb an ongoing epidemic if the prevention and control measures can be fully implemented.

11 citations


Journal ArticleDOI
TL;DR: In this article , a multiscale model was developed to study the coupled within-host and between-host dynamics of COVID-19, which includes multiple transmission routes (both human-to-human and environment-tohuman) and connects multiple scales (both the population and individual levels).

10 citations


Journal ArticleDOI
TL;DR: In this paper , the authors highlight the pros and cons of using simple (often identifiable) vs. complex (more physiologically detailed but often non-identifiable) models, as well as aspects of parameter identifiability, sensitivity and inference methodologies for model development and analysis.

10 citations


Journal ArticleDOI
TL;DR: This study presents computational methods tailored for a mutation model in which some wide-type cells may be killed by nonlethal exposure to an antibiotic, but in which mutants proliferate unimpeded.

9 citations


Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper employed a dynamic-based approach to calibrate the accumulated clinically diagnosed data with a sudden jump on February 12 and 13, and found that the combined multiple measures are essential to curb an ongoing epidemic if the prevention and control measures can be fully implemented.

7 citations


Journal ArticleDOI
TL;DR: In this article , a compartmental epidemiological model with distributed recovery and death rates is proposed and validated by the epidemiological data for different countries, and it shows better agreement with the data than the SIR model.

7 citations


Journal ArticleDOI
TL;DR: In this article, a multi-objective optimization framework is proposed to carry out epidemic nowcasting and future prediction in the COVID-19 pandemic, where adaptive interventions such as vaccine strategies and the uses of diagnostic tests can be evaluated.

Journal ArticleDOI
TL;DR: The basic reproduction number is a fundamental concept in mathematical epidemiology and infectious disease modeling as mentioned in this paper , and it describes the number of people that an infectious person is expected to infect, and it has profound implications for epidemic trajectories and disease control strategies.

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors used a generalized boosting machine learning model (GBM) to predict the number of confirmed cases of infectious diseases in the United States during the post-vaccination period.

Journal ArticleDOI
TL;DR: In this article , the authors evaluated the effect of age-specific vaccination strategies on the number of infections and deaths using an SEIR model, considering the age structure and social contact patterns for different age groups for each of different countries.

Journal ArticleDOI
TL;DR: In this paper, the authors compared 13 different mathematical models with different biological resistance mechanisms to simulate the patient-specific antigen (PSA) response dynamics of intermittent androgen deprivation therapy (ADT) for locally advanced prostate cancer.

Journal ArticleDOI
TL;DR: In this paper , the authors developed a series of power analyses to determine optimal sample sizes that allow for accurate estimation of model parameters and for discrimination between alternative models describing clustering of CD8 T cells around Plasmodium liver stages.

Journal ArticleDOI
TL;DR: In this article , the authors extended Shinar and Feinberg's reaction network analysis approach to the insulin signaling system based on recent advances in decomposing reaction networks and obtained the system's finest independent decomposition consisting of 10 sub-networks, a coarsening of which reveals three subnetworks which are not only functionally but also structurally important.

Journal ArticleDOI
TL;DR: In this paper , a multiscale model for P. vivax infection was developed, which involves a minimal set of equations at the population scale, with an embedded within-host model that can capture the dynamics of the hypnozoite reservoir.

Journal ArticleDOI
TL;DR: In this paper , the authors used a simple model to explore how the individual-level effects of testing might directly impact population-level spread and found that focusing testing on infected individuals always acts to increase effectiveness of control.

Journal ArticleDOI
Ying Zhou1
TL;DR: In this paper, the authors considered scenarios where the shifting speed may either be constant or accelerated, and analyzed the range-shift deficit, which is a lag in the spatial distribution of the population.

Journal ArticleDOI
TL;DR: A PDE bifurcation analysis of two polarity models is carried out to investigate routes to repolarization, finding distinct routes to reversal in a mutually antagonistic Rac-Rho model and a single-GTPase model.

Journal ArticleDOI
TL;DR: In this paper , the authors built a network transmission model of 123 dimensions incorporating the impact of quarantine and medical resources as well as household transmission to understand how Wuhan curbed the COVID-19 outbreak in 2020.

Journal ArticleDOI
TL;DR: In this article , a mathematical model, which incorporates separate compartments for incubation and asymptomatic individuals, has been developed to uncover the effective interventions during the pandemic period.

Journal ArticleDOI
TL;DR: In this paper , a multi-scale model by linking the behaviour change dynamics to the disease transmission dynamics was proposed to investigate the effect of behaviour dynamics on COVID-19 epidemics using game theory.


Journal ArticleDOI
TL;DR: In this paper, a mathematical model based on ecological stoichiometry is proposed to describe the interactions among autotroph, mixotrophs and bacteria, and some dynamic analysis and numerical simulations of this model are presented.

Journal ArticleDOI
TL;DR: In this article , a mathematical model, which incorporates separate compartments for incubation and asymptomatic individuals, has been developed to uncover the effective interventions during the pandemic period.

Journal ArticleDOI
TL;DR: In this article , a two-patches mathematical model is proposed to simulate the transmission of SARS-CoV-2 among asymptomatic and symptomatic infected humans, where a half-saturated detection rate function is introduced to describe the effect of medical resources.

Journal ArticleDOI
TL;DR: In this article , the Kermack-McKendrick model was used to analyze the Covid-19 pandemic and showed that a comparatively mild intervention reducing the time until quarantine by one day would lead to drastic improvement.