A simple, SIR-like but individual-based epidemic model: Application in comparison of COVID-19 in New York City and Wuhan
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A simple, SIR-like but individual-based epidemic model: Application in comparison of COVID-19 in New York City and Wuhan
Authors
Keywords
Epidemic model, Individual-based model, COVID-19, Latent period, Infectious period, Time-dependent transmission rate, Transient incidence rate
Journal
Results in Physics
Volume 20, Issue -, Pages 103712
Publisher
Elsevier BV
Online
2020-12-24
DOI
10.1016/j.rinp.2020.103712
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
- (2020) Chaolin Huang et al. LANCET
- Clinical Characteristics of Coronavirus Disease 2019 in China
- (2020) Wei-jie Guan et al. NEW ENGLAND JOURNAL OF MEDICINE
- Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany
- (2020) Camilla Rothe et al. NEW ENGLAND JOURNAL OF MEDICINE
- Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia
- (2020) Qun Li et al. NEW ENGLAND JOURNAL OF MEDICINE
- Dynamic interventions to control COVID-19 pandemic: a multivariate prediction modelling study comparing 16 worldwide countries
- (2020) Rajiv Chowdhury et al. EUROPEAN JOURNAL OF EPIDEMIOLOGY
- Modeling Epidemics With Compartmental Models
- (2020) Juliana Tolles et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Fangcang shelter hospitals: a novel concept for responding to public health emergencies
- (2020) Simiao Chen et al. LANCET
- Modeling shield immunity to reduce COVID-19 epidemic spread
- (2020) Joshua S. Weitz et al. NATURE MEDICINE
- Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy
- (2020) Giulia Giordano et al. NATURE MEDICINE
- Modeling infectious epidemics
- (2020) Ottar N. Bjørnstad et al. NATURE METHODS
- Data-based analysis, modelling and forecasting of the COVID-19 outbreak
- (2020) Cleo Anastassopoulou et al. PLoS One
- The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study
- (2020) Kiesha Prem et al. Lancet Public Health
- A dynamic modeling tool for estimating healthcare demand from the COVID19 epidemic and evaluating population-wide interventions
- (2020) Gabriel Rainisch et al. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
- The challenges of modeling and forecasting the spread of COVID-19
- (2020) Andrea L. Bertozzi et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Modelling the evolution trajectory of COVID-19 in Wuhan, China: experience and suggestions
- (2020) M. Liu et al. PUBLIC HEALTH
- On a Coupled Time-Dependent SIR Models Fitting with New York and New-Jersey States COVID-19 Data
- (2020) Benjamin Ambrosio et al. Biology-Basel
- A SIR model assumption for the spread of COVID-19 in different communities
- (2020) Ian Cooper et al. CHAOS SOLITONS & FRACTALS
- Power-law population heterogeneity governs epidemic waves
- (2020) Jonas Neipel et al. PLoS One
- Estimated incidence of COVID-19 illness and hospitalization — United States, February–September, 2020
- (2020) Heather Reese et al. CLINICAL INFECTIOUS DISEASES
- Analytical Modelling of the Spread of Disease in Confined and Crowded Spaces
- (2014) Lara Goscé et al. Scientific Reports
- Mathematical modelling and prediction in infectious disease epidemiology
- (2013) A. Huppert et al. CLINICAL MICROBIOLOGY AND INFECTION
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now