Parameter estimation for contact tracing in graph-based models
A Okolie, J Müller… - Journal of the Royal …, 2023 - royalsocietypublishing.org
We adopt a maximum-likelihood framework to estimate parameters of a stochastic
susceptible–infected–recovered (SIR) model with contact tracing on a rooted random tree …
susceptible–infected–recovered (SIR) model with contact tracing on a rooted random tree …
[PDF][PDF] Dynamic graph based epidemiological model for COVID-19 contact tracing data analysis and optimal testing prescription
In this study, we address three important challenges related to the COVID-19 pandemic,
namely,(a) providing an early warning to likely exposed individuals,(b) identifying …
namely,(a) providing an early warning to likely exposed individuals,(b) identifying …
[HTML][HTML] Contact tracing as a measure to combat COVID-19 and other infectious diseases
M Du - American Journal of Infection Control, 2022 - Elsevier
Background Most of the mathematical modeling studies on COVID-19 transmission are
based on continuous deterministic models that do not consider the characteristics of social …
based on continuous deterministic models that do not consider the characteristics of social …
[HTML][HTML] Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription
In this study, we address three important challenges related to disease transmissions such
as the COVID-19 pandemic, namely,(a) providing an early warning to likely exposed …
as the COVID-19 pandemic, namely,(a) providing an early warning to likely exposed …
[HTML][HTML] Estimating the generation interval and inferring the latent period of COVID-19 from the contact tracing data
Abstract The coronavirus disease 2019 (COVID-19) emerged by end of 2019, and became a
serious public health threat globally in less than half a year. The generation interval and …
serious public health threat globally in less than half a year. The generation interval and …
Contact graph epidemic modelling of covid-19 for transmission and intervention strategies
The coronavirus disease 2019 (COVID-19) pandemic has quickly become a global public
health crisis unseen in recent years. It is known that the structure of the human contact …
health crisis unseen in recent years. It is known that the structure of the human contact …
[HTML][HTML] Effectiveness of a COVID-19 contact tracing app in a simulation model with indirect and informal contact tracing
During the COVID-19 pandemic, contact tracing was used to identify individuals who had
been in contact with a confirmed case so that these contacted individuals could be tested …
been in contact with a confirmed case so that these contacted individuals could be tested …
[HTML][HTML] Contact tracing evaluation for COVID-19 transmission in the different movement levels of a rural college town in the USA
SA Moon, CM Scoglio - Scientific reports, 2021 - nature.com
Contact tracing can play a key role in controlling human-to-human transmission of a highly
contagious disease such as COVID-19. We investigate the benefits and costs of contact …
contagious disease such as COVID-19. We investigate the benefits and costs of contact …
Effect of manual and digital contact tracing on covid-19 outbreaks: A study on empirical contact data
Non-pharmaceutical interventions are crucial to mitigate the COVID-19 pandemic and
contain re-emergence phenomena. Targeted measures such as case isolation and contact …
contain re-emergence phenomena. Targeted measures such as case isolation and contact …
Heterogeneity is essential for contact tracing
Background (Dated: June 5, 2020) The COVID-19 pandemic is most often modelled by well-
mixed models, sometimes stratified by age and work. People are, however, different from …
mixed models, sometimes stratified by age and work. People are, however, different from …