Comparative effectiveness of contact tracing interventions in the context of the COVID-19 pandemic: a systematic review
Contact tracing is a non-pharmaceutical intervention (NPI) widely used in the control of the
COVID-19 pandemic. Its effectiveness may depend on a number of factors including the …
COVID-19 pandemic. Its effectiveness may depend on a number of factors including the …
INFEKTA—An agent-based model for transmission of infectious diseases: The COVID-19 case in Bogotá, Colombia
The transmission dynamics of the coronavirus—COVID-19—have challenged humankind at
almost every level. Currently, research groups around the globe are trying to figure out such …
almost every level. Currently, research groups around the globe are trying to figure out such …
Modeling the combined effect of digital exposure notification and non-pharmaceutical interventions on the COVID-19 epidemic in Washington state
Contact tracing is increasingly being used to combat COVID-19, and digital implementations
are now being deployed, many of them based on Apple and Google's Exposure Notification …
are now being deployed, many of them based on Apple and Google's Exposure Notification …
Estimating the impact of interventions against COVID-19: From lockdown to vaccination
J Thompson, S Wattam - PLoS One, 2021 - journals.plos.org
Coronavirus disease 2019 (COVID-19) is an infectious disease of humans caused by severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the first case was identified …
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the first case was identified …
Mobility-based SIR model for complex networks: with case study Of COVID-19
In the last decade, humanity has faced many different pandemics such as SARS, H1N1, and
presently novel coronavirus (COVID-19). On one side, scientists have developed …
presently novel coronavirus (COVID-19). On one side, scientists have developed …
FACS: a geospatial agent-based simulator for analysing COVID-19 spread and public health measures on local regions
The recent Covid-19 outbreak has had a tremendous impact on the world, and many
countries are struggling to help incoming patients and at the same time, rapidly enact new …
countries are struggling to help incoming patients and at the same time, rapidly enact new …
Delay-differential SEIR modeling for improved modelling of infection dynamics
IN Kiselev, IR Akberdin, FA Kolpakov - Scientific Reports, 2023 - nature.com
Abstract SEIR (Susceptible–Exposed–Infected–Recovered) approach is a classic modeling
method that is frequently used to study infectious diseases. However, in the vast majority of …
method that is frequently used to study infectious diseases. However, in the vast majority of …
Enhancing the prediction of hospitalization from a COVID-19 agent-based model: a Bayesian method for model parameter estimation
Agent-based models (ABMs) have become a common tool for estimating demand for
hospital beds during the COVID-19 pandemic. A key parameter in these ABMs is the …
hospital beds during the COVID-19 pandemic. A key parameter in these ABMs is the …
[HTML][HTML] Sensitivity and identifiability analysis of COVID-19 pandemic models
OI Krivorotko, SI Kabanikhin… - Vavilov journal of …, 2021 - ncbi.nlm.nih.gov
The paper presents the results of sensitivity-based identifiability analysis of the COVID-19
pandemic spread models in the Novosibirsk region using the systems of differential …
pandemic spread models in the Novosibirsk region using the systems of differential …
Impact of personal protection habits on the spread of pandemics: Insights from an agent‐based model
L Álvarez-Pomar… - The scientific world journal, 2021 - Wiley Online Library
Background. After several waves of spread of the COVID‐19 pandemic, countries around
the world are struggling to regain their economies by slowly lifting mobility restrictions and …
the world are struggling to regain their economies by slowly lifting mobility restrictions and …