Cargando…

Quantifying superspreading for COVID-19 using Poisson mixture distributions

Mostrar otras versiones (1)

The number of secondary cases, i.e. the number of new infections generated by an infectious individual, is an important parameter for the control of infectious diseases. When individual variation in disease transmission is present, like for COVID-19, the distribution of the number of secondary cases...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kremer, Cécile, Torneri, Andrea, Boesmans, Sien, Meuwissen, Hanne, Verdonschot, Selina, Vanden Driessche, Koen, Althaus, Christian L., Faes, Christel, Hens, Niel
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266910/ https://www.ncbi.nlm.nih.gov/pubmed/34238978 http://dx.doi.org/10.1038/s41598-021-93578-x

Ejemplares similares

Quantifying superspreading for COVID-19 using Poisson mixture distributions
por: Kremer, Cécile, et al.
Publicado: (2020)

Authors’ response: Estimating the generation interval for COVID-19 based on symptom onset data
por: Kremer, Cécile, et al.
Publicado: (2020)

Estimating the generation interval for coronavirus disease (COVID-19) based on symptom onset data, March 2020
por: Ganyani, Tapiwa, et al.
Publicado: (2020)

Laplacian‐P‐splines for Bayesian inference in the mixture cure model
por: Gressani, Oswaldo, et al.
Publicado: (2022)

Ebola superspreading
por: Althaus, Christian L
Publicado: (2015)

On realized serial and generation intervals given control measures: The COVID-19 pandemic case
por: Torneri, Andrea, et al.
Publicado: (2021)

EpiLPS: A fast and flexible Bayesian tool for estimation of the time-varying reproduction number
por: Gressani, Oswaldo, et al.
Publicado: (2022)

Different forms of superspreading lead to different outcomes: Heterogeneity in infectiousness and contact behavior relevant for the case of SARS-CoV-2
por: Kuylen, Elise J., et al.
Publicado: (2022)

Serial Intervals for SARS-CoV-2 Omicron and Delta Variants, Belgium, November 19–December 31, 2021
por: Kremer, Cécile, et al.
Publicado: (2022)

Superspreading quantified from bursty epidemic trajectories
por: Kirkegaard, Julius B., et al.
Publicado: (2021)

Eight Years of the Great Influenza Survey to Monitor Influenza-Like Illness in Flanders
por: Vandendijck, Yannick, et al.
Publicado: (2013)

On the timing of interventions to preserve hospital capacity: lessons to be learned from the Belgian SARS-CoV-2 pandemic in 2020
por: Faes, Christel, et al.
Publicado: (2021)

Key performance indicators of COVID-19 contact tracing in Belgium from September 2020 to December 2021
por: Kremer, Cécile, et al.
Publicado: (2023)

Controlling SARS-CoV-2 in schools using repetitive testing strategies
por: Torneri, Andrea, et al.
Publicado: (2022)

Measles epidemic in Southern Vietnam: an age-stratified spatio-temporal model for infectious disease counts
por: Nguyen, Thi Huyen Trang, et al.
Publicado: (2022)

Assessing the relationship between epidemic growth scaling and epidemic size: The 2014–16 Ebola epidemic in West Africa
por: Ganyani, Tapiwa, et al.
Publicado: (2018)

Dimensions of superspreading
por: Galvani, Alison P., et al.
Publicado: (2005)

Spatio-temporal model to investigate COVID-19 spread accounting for the mobility amongst municipalities
por: Ensoy-Musoro, Chellafe, et al.
Publicado: (2023)

Predicting the Next Superspreader
por: Chavez-Arroyo, Alfredo, et al.
Publicado: (2023)

Searching for Superspreaders: Identifying Epidemic Patterns Associated with Superspreading Events in Stochastic Models
por: Edholm, Christina J., et al.
Publicado: (2018)

Can COVID-19 symptoms as reported in a large-scale online survey be used to optimise spatial predictions of COVID-19 incidence risk in Belgium?
por: Neyens, Thomas, et al.
Publicado: (2020)

Modeling Infectious Disease Parameters Based on Serological and Social Contact Data: A Modern Statistical Perspective
por: Hens, Niel, et al.
Publicado: (2012)

Time between Symptom Onset, Hospitalisation and Recovery or Death: Statistical Analysis of Belgian COVID-19 Patients
por: Faes, Christel, et al.
Publicado: (2020)

Why This Book? An Introduction
por: Hens, Niel, et al.
Publicado: (2012)

Modelling longitudinal binary outcomes with outcome dependent observation times: an application to a malaria cohort study
por: Martins, Adelino, et al.
Publicado: (2022)

Poisson Mixture Regression Models for Heart Disease Prediction
por: Mufudza, Chipo, et al.
Publicado: (2016)

A prospect on the use of antiviral drugs to control local outbreaks of COVID-19
por: Torneri, Andrea, et al.
Publicado: (2020)

Quantifying cell-generated forces: Poisson’s ratio matters
por: Javanmardi, Yousef, et al.
Publicado: (2021)

Quantify the role of superspreaders -opinion leaders- on COVID-19 information propagation in the Chinese Sina-microblog
por: Yin, Fulian, et al.
Publicado: (2020)

Mapping maternal mortality rate via spatial zero-inflated models for count data: A case study of facility-based maternal deaths from Mozambique
por: Loquiha, Osvaldo, et al.
Publicado: (2018)

How contact patterns during the COVID-19 pandemic are related to pre-pandemic contact patterns and mobility trends
por: Lajot, Adrien, et al.
Publicado: (2023)

Are SARS Superspreaders Cloud Adults?
por: Bassetti, Stefano, et al.
Publicado: (2005)

Effects of superspreaders in spread of epidemic
por: Fujie, Ryo, et al.
Publicado: (2007)

The counterintuitive implications of superspreading diseases
por: Nielsen, Bjarke Frost, et al.
Publicado: (2023)

Assessing the feasibility and effectiveness of household-pooled universal testing to control COVID-19 epidemics
por: Libin, Pieter J. K., et al.
Publicado: (2021)

Reconstruction of SARS-CoV-2 outbreaks in a primary school using epidemiological and genomic data
por: Kremer, Cécile, et al.
Publicado: (2023)

Do superspreaders generate new superspreaders? A hypothesis to explain the propagation pattern of COVID-19
por: Beldomenico, Pablo M.
Publicado: (2020)

The impact of national and international travel on spatio-temporal transmission of SARS-CoV-2 in Belgium in 2021
por: Nguyen, Minh Hanh, et al.
Publicado: (2023)

Finite mixtures of mean-parameterized Conway–Maxwell–Poisson models
por: Zhan, Dongying, et al.
Publicado: (2023)

Superspreading SARS Events, Beijing, 2003
por: Shen, Zhuang, et al.
Publicado: (2004)

Cannot write session to /tmp/vufind_sessions/sess_b5crcvmlcqmsu59gas3oqbggst