Scholarlink

Background <p>India bears a considerable zoonotic disease burden, posing significant occupational risks for veterinarians. With the evolving technologies, tools like Augmented Reality (AR) and Virtual Reality (VR) offer immersive platforms that simulate real-world outbreak scenarios, enabling veterinarians to practice critical skills in a safe, controlled environment that is increasingly relevant in today’s times.</p> Aim <p>To explore the veterinarians’ perceptions and the perceived need for an Augmented Reality (AR) training model in zoonotic disease management in Bangalore Rural, Karnataka.</p> Methods and materials <p>The study employed an exploratory qualitative method. A total of 15 veterinarians working in the Department of Animal Husbandry and Veterinary Services with at least one year of experience were purposively selected. Data were collected through in-depth interviews using a validated guide. Thematic analysis was performed using both inductive and deductive coding.</p> Results <p>Veterinarians expressed that AR-based training could significantly enhance learning through immersive and interactive experiences. Its potential to provide hands-on simulation without exposure to actual infectious environments was especially appreciated in managing exotic and high-risk zoonoses. The flexibility, customisation, and relevance to field realities were seen as major advantages. However, concerns were noted regarding cost-effectiveness, possible health impacts, legal considerations, and hesitancy among older professionals.</p> Conclusions <p>AR-based training was positively received as a valuable tool for improving zoonotic disease preparedness. Despite some reservations, there is a strong need for direct exposure to such technologies. Future research should evaluate the comparative cost-effectiveness of AR/VR versus conventional training models.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Perceptions of veterinarians on use of augmented reality in training personnel for zoonotic disease management in Bangalore Rural, Karnataka: an exploratory qualitative study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月3日

查看全文
  • Roopashree Mikkilineni,
  • Navya Vyas,
  • Meghana Manoj,
  • Varalakshmi Chandra Sekaran,
  • Mohammed Mudassar Chanda

摘要

Background

India bears a considerable zoonotic disease burden, posing significant occupational risks for veterinarians. With the evolving technologies, tools like Augmented Reality (AR) and Virtual Reality (VR) offer immersive platforms that simulate real-world outbreak scenarios, enabling veterinarians to practice critical skills in a safe, controlled environment that is increasingly relevant in today’s times.

Aim

To explore the veterinarians’ perceptions and the perceived need for an Augmented Reality (AR) training model in zoonotic disease management in Bangalore Rural, Karnataka.

Methods and materials

The study employed an exploratory qualitative method. A total of 15 veterinarians working in the Department of Animal Husbandry and Veterinary Services with at least one year of experience were purposively selected. Data were collected through in-depth interviews using a validated guide. Thematic analysis was performed using both inductive and deductive coding.

Results

Veterinarians expressed that AR-based training could significantly enhance learning through immersive and interactive experiences. Its potential to provide hands-on simulation without exposure to actual infectious environments was especially appreciated in managing exotic and high-risk zoonoses. The flexibility, customisation, and relevance to field realities were seen as major advantages. However, concerns were noted regarding cost-effectiveness, possible health impacts, legal considerations, and hesitancy among older professionals.

Conclusions

AR-based training was positively received as a valuable tool for improving zoonotic disease preparedness. Despite some reservations, there is a strong need for direct exposure to such technologies. Future research should evaluate the comparative cost-effectiveness of AR/VR versus conventional training models.