False Negative in Predicting Viral Outbreaks

False Negative in predicting viral outbreaks can be more costly compared to other scenarios due to the potential consequences it can have on public health and safety.

- **Public Health Impact**: If a system fails to detect a viral outbreak, it can lead to delayed response from health authorities, allowing the spread of the virus to go unchecked. This can result in a higher number of infected individuals, increased strain on healthcare systems, and ultimately more fatalities.

- **Economic Costs**: A false negative in predicting a viral outbreak can have significant economic repercussions. It can lead to widespread closures of businesses, schools, and public spaces, impacting local economies and causing financial hardships for individuals and communities.

- **Loss of Trust**: Failure to accurately predict a viral outbreak can erode public trust in health authorities and the systems in place to protect public health. This can lead to misinformation, non-compliance with public health measures, and further exacerbate the spread of the virus.

- **Global Impact**: In the case of a highly contagious or deadly virus, a false negative in predicting an outbreak can have far-reaching global consequences. It can result in the rapid spread of the virus across borders, leading to a pandemic with widespread health, social, and economic implications.

In conclusion, a false negative in predicting viral outbreaks can be more costly due to its potential impact on public health, economies, trust in institutions, and global stability. It is crucial to have accurate and reliable systems in place to detect and respond to viral outbreaks promptly.