Improved Risk Communication During Infectious Disease Crises

As cases of the Ebola disease emerge in Europe, the crisis is gaining increasing levels of media coverage. Certain types of coverage can foster fear and stigmatisation which leads to harmful consequences for the individuals, communities and countries involved. Therefore communication strategies that maximise opportunities and minimise risks are vital. That's why the TELL ME (Transparent communication in Epidemics: Learning Lessons from experience, delivering effective Messages, providing Evidence) project is working to develop models for improved risk communication during infectious disease crises.

In the case of Ebola, the stigma of being perceived to be connected with the outbreak in the affected countries is intense and may make individuals hesitant to come forward with suspected symptoms. It may also impact the larger African community in Europe, including those who may have been established here for many years. The TELL ME team is mindful that effective communication can make a crucial difference in this situation.

TELL ME is drawing on a range of disciplines (from public health to law and ethics) to develop original communication strategies regarding complicated messages as well as advice based on uncertainties. The aim is to develop a way of communicating that influences behaviours, reduces the spread of disease and avoids panic. The team is particularly keen to explore the huge potential of the information society in terms of evidence-based and participatory communication.

Stigmatisation as a result of poor communication affects not only individuals and families but entire countries. Paul Quinn of the TELL ME project notes the harmful consequences that he is seeing as a result of stigmatisation during this Ebola outbreak. He says: "This sense of fear and stigma also affects the way in which foreigners are willing to deal with the countries in question. European airlines have for instance had to cancel flights to affected countries, often under pressure from the union representation of their employees who fear a risk of contamination. This has created not only economic problems for the countries involved but also major logistical headaches for international public health authorities attempting to manage an emergency public health response."

The consequences, he continues, go beyond health: "The effects that such events are able to create demonstrate that they carry serious risks not only in terms of human health and economic costs, but also in terms of serious social harms that can be felt both at the epicentre of the outbreak and beyond."

Naturally, concerns and fear on disease outbreaks are aired extensively on social media channels. As a TELL ME press release notes, "Social media are a fertile ground for [feelings of concern and fears], as well as for the circulation of information, be they correct, distorted or totally wrong." A TELL ME analysis report on the Ebola crisis which focused on Twitter over seven days in September showed that 632 712 tweets had been published and 17 023 hashtags using #ebola had been used.

The Ebola situation is pertinent for the research questions that TELL ME is exploring, in particular: "What are the most appropriate communication methods to deal with complexity, uncertainty, ignorance, information asymmetries, overwhelming information, biased information, misinformation and malicious information?"

The project will come to an end at the beginning of 2015. Two of the main deliverables will be an integrated, evidence based, communication work package (TELL ME Communication Kit) for outbreak communication and a prototype of a computational method for simulating the actions and interactions of autonomous decision-making entities within a virtual environment during an epidemic outbreak.

For further information, please visit:
http://www.tellmeproject.eu

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...