ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2019
A Network-Based Compartmental Model For The Spread Of Whooping Cough In Nebraska.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- How do social network models compare to all-to-all models for forecasting tuberculosis epidemics? A mathematical modeling study.PloS one · 2026Article
- Network-augmented compartmental models to track asymptomatic disease spread.Bioinformatics advances · 2023Article
- Role of efficient testing and contact tracing in mitigating the COVID-19 pandemic: a network modelling study.BMJ open · 2021Article
- Community and Campus COVID-19 Risk Uncertainty Under University Reopening Scenarios: Model-Based Analysis.JMIR public health and surveillance · 2021Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Outbreaks of pertussis have increased over the past few years, drawing the attention of health care providers. Un- derstanding the transmission mechanisms of contagious disease is critically important, but depends on many intricate factors including pathogen and host environment, exposed population, and their activities. In this work, we try to improve upon the prediction model for the exposed population. The number of whooping cough reported cases in Nebraska between 2000-2017 was gathered. The standard Susceptible-Exposed-Infected-Recovered (SEIR) model is used to predict the infected numbers. The results show that the SEIR model prediction for the number of infected indi- viduals is much higher than the actual number. To overcome this problem, the Network Based-SEIR model is proposed, and is able to estimate the number of infected more accurately than the classic SEIR model.
Identifiers
31258992PMC6568137What 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.