ArticleScientific reports2017
Methods for estimating disease transmission rates: Evaluating the precision of Poisson regression and two novel methods.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- A Bayesian estimator of the real-time case fatality rate in emerging pandemic to inform public health policy-making.BMC infectious diseases · 2026Article
- Investigating a propagation of emerging carbapenemase-producing Enterobacteriaceae in Dutch broiler production pyramid through stochastic simulation.One health (Amsterdam, Netherlands) · 2024Article
- Phylogenetic inference of inter-population transmission rates for infectious diseases.Briefings in bioinformatics · 2024Article
- Estimation of a Within-Herd Transmission Rate for African Swine Fever in Vietnam.Animals : an open access journal from MDPI · 2023Article
- The role of inter-regional mobility in forecasting SARS-CoV-2 transmission.Journal of the Royal Society, Interface · 2022Article
- Dynamic Models of Within-Herd Transmission and Recommendation for Vaccination Coverage Requirement in the Case of African Swine Fever in Vietnam.Veterinary sciences · 2022Article
- Impact of implementation timing on the effectiveness of stay-at-home requirement under the COVID-19 pandemic: Lessons from the Italian Case.Health policy (Amsterdam, Netherlands) · 2022Article
- Benefits of patient risk stratification and targeted interventions on multidrug resistant pathogens prevention and control.Discover health systems · 2022Review
- A modified Susceptible-Infected-Recovered model for observed under-reported incidence data.PloS one · 2022Article
- Integrated vaccination and physical distancing interventions to prevent future COVID-19 waves in Chinese cities.Nature human behaviour · 2021Article
- Response: Commentary: Statistical Modeling for the Prediction of Infectious Disease Dissemination With Special Reference to COVID-19 Spread.Frontiers in public health · 2021Article
- Analysis of social interactions and risk factors relevant to the spread of infectious diseases at hospitals and nursing homes.PloS one · 2021Observational
- Pandemic Penetration: Factors for Measurement.SN computer science · 2021Article
- Article
- Rapid relaxation of pandemic restrictions after vaccine rollout favors growth of SARS-CoV-2 variants: A model-based analysis.PloS one · 2021Article
- Transmission Dynamics ofFrontiers in veterinary science · 2021Article
- Drawing inference from nationwide lockdown as a response towards novel Cornavirus-19 (CoVID-19) epidemic in India.Journal of family medicine and primary care · 2020Article
- Complex adaptive systems-based framework for modeling the health impacts of climate change.The journal of climate change and healthArticle
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precise estimates of disease transmission rates are critical for epidemiological simulation models. Most often these rates must be estimated from longitudinal field data, which are costly and time-consuming to conduct. Consequently, measures to reduce cost like increased sampling intervals or subsampling of the population are implemented. To assess the impact of such measures we implement two different SIS models to simulate disease transmission: A simple closed population model and a realistic dairy herd including population dynamics. We analyze the accuracy of different methods for estimating the transmission rate. We use data from the two simulation models and vary the sampling intervals and the size of the population sampled. We devise two new methods to determine transmission rate, and compare these to the frequently used Poisson regression method in both epidemic and endemic situations. For most tested scenarios these new methods perform similar or better than Poisson regression, especially in the case of long sampling intervals. We conclude that transmission rate estimates are easily biased, which is important to take into account when using these rates in simulation models.
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Registered trials
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