ArticlePloS one2015
The impact of prior information on estimates of disease transmissibility using Bayesian tools.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quantifying TB transmission: a systematic review of reproduction number and serial interval estimates for tuberculosis.Epidemiology and infection · 2018Pooled it
- Estimation of the generation interval using pairwise relative transmission probabilities.Biostatistics (Oxford, England) · 2022Article
- A Comparative Analysis of Statistical Methods to Estimate the Reproduction Number in Emerging Epidemics, With Implications for the Current Coronavirus Disease 2019 (COVID-19) Pandemic.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Statistical Estimation of the Reproductive Number From Case Notification Data.American journal of epidemiology · 2021Review
- Multi-population stochastic modeling of Ebola in Sierra Leone: Investigation of spatial heterogeneity.PloS one · 2021Article
- Practical considerations for measuring the effective reproductive number, Rt.PLoS computational biology · 2020Article
- Using Cure Models to Estimate the Serial Interval of Tuberculosis With Limited Follow-up.American journal of epidemiology · 2020Article
- Practical considerations for measuring the effective reproductive number,medRxiv : the preprint server for health sciences · 2020Article
- Estimating age-specific reproductive numbers-A comparison of methods.Statistical methods in medical research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The basic reproductive number (R₀) and the distribution of the serial interval (SI) are often used to quantify transmission during an infectious disease outbreak. In this paper, we present estimates of R₀ and SI from the 2003 SARS outbreak in Hong Kong and Singapore, and the 2009 pandemic influenza A(H1N1) outbreak in South Africa using methods that expand upon an existing Bayesian framework. This expanded framework allows for the incorporation of additional information, such as contact tracing or household data, through prior distributions. The results for the R₀ and the SI from the influenza outbreak in South Africa were similar regardless of the prior information (R0 = 1.36-1.46, μ = 2.0-2.7, μ = mean of the SI). The estimates of R₀ and μ for the SARS outbreak ranged from 2.0-4.4 and 7.4-11.3, respectively, and were shown to vary depending on the use of contact tracing data. The impact of the contact tracing data was likely due to the small number of SARS cases relative to the size of the contact tracing sample.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.