Study: Mathematical modeling is key to predicting and controlling disease outbreaks

Predicting and controlling disease outbreaks would be easier and more reliable with the wider application of mathematical modeling, according to a new study.

The study was conducted by researchers at the University of Waterloo, University of Maryland, and Yale's School of Public Health.

In addition to the main findings, the study also concluded that modeling involving the information from multiple medical and public health sources, such as microbiologists, immunologists and epidemiologist, would be most informative for public health planners in contemplating intervention strategies.

Mathematical models of disease spread can be hugely beneficial in understanding and controlling infectious diseases. There are certain challenges that have to be overcome when attempting to use mathematical modeling, for example, if you want to impact policy, you have to involve the policymakers at every step in the process."

Chris Bauch, professor, Department of Applied Mathematics, University of Waterloo

"Good data is also needed to carry out the objectives of modeling and to best control infectious diseases."

Bauch conducted the research with Meagan Fitzpatrick, a professor at the University of Maryland, and Jeffrey Townsend and Alison Galvani, both professors at Yale's School of Public Health.

The researchers also explained how mathematical models could help in understanding how ideas, opinions, and beliefs about vaccines spread through social networks allowing for the formulation of interventions that might convey the facts to the population and better support vaccination choices.

"It is very important for researchers who are constructing mathematical models to collaborate with health authorities who are informing and helping to manage the outbreak response," said Bauch of Waterloo's Faculty of Mathematics. "Firstly, it will be easier to get the required data; secondly, it will ensure the model is geared towards questions those on the frontline need answers to, and finally, it will help foster trust in the modeling process.

"Another area in which mathematical modeling can prove useful is in combating vaccine hesitancy. As the access to vaccines become less of a problem worldwide, vaccine hesitancy will perhaps become the most important barrier to ensuring high vaccine uptake."

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Large cohort study reassures on mRNA vaccine safety for early pregnancies