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Behavioural determinants of #testing behaviour during a hypothetical avian #influenza #outbreak: an interview study

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By G.M.

 


Abstract

Background: 

Avian Influenza (AI) is a potential pandemic threat, specifically when human-to-human transmission occurs. For outbreak management testing is essential. Current knowledge on testing behaviour is mostly derived from other infectious diseases such as COVID-19. It is necessary to identify determinants of testing behaviour for AI in an early phase. Therefore, this interview study aims to identify a wide range of behavioural determinants of testing during a hypothetical human-to-human transmissible AI outbreak. 

Methods: 

Semi-structured in-depth interviews, based on the Theoretical Domains Framework, were carried out between May 2024 and February 2025. Participants were included through purposive and convenience sampling. During the interviews an animation was shown illustrating a hypothetical AI outbreak. Verbatim transcripts were thematically analysed. 

Results: 

We included seventeen participants (median age 44, range 20-81; 71% women) with diverse backgrounds in terms of age, gender, educational level and country of birth. We found that having the freedom to decide to test would make testing more acceptable, whereas a decreased sense of autonomy would discourage testing. Most themes included individual rather than population-level benefits as drivers of testing behaviour. These included protecting loved ones, one's own health and gaining psychological reassurance. External conditions like being unable to go to work or an event would generally encourage testing behaviour. Lower trust in governmental authorities could hamper testing behaviour. Previous experiences from the COVID-19 pandemic shaped the participants' answers about AI testing behaviour. 

Conclusion: 

Key considerations include balancing people's need for autonomy with the external measures imposed by employers or the government, rebuilding trust in institutions and acknowledging how prior experiences with testing may shape testing behaviour in future AI outbreaks. Further research is needed to determine how these findings can be translated into effective communication and how trust in authorities can be build.


Competing Interest Statement

The authors have declared no competing interest.


Funding Statement

This study was supported by ZonMw (projectnumber 10710032310014) an organisation that stimulates innovations to improve healthcare in the Netherlands. The funder had no involvement in study design, data collection, analysis, interpretation of the findings or in manuscript preparation.

Source: 


Link: https://www.medrxiv.org/content/10.64898/2026.03.17.26348610v1

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