Lokachet Tanasugarn

Thanks for pointing out these additional attributes.
Good job pointing out the different facets of evaluation for data quality.
I also agree that they could do further evaluation of the data apart from the completeness.
Evaluating the system from many aspects could give us more insight into the system as a whole!

Nicely done – keep it up!

Thanks for pointing out these additional attributes!
I totally agree that integration is one interesting aspect. Harmonization between two systems or data transfer between the old to the new system is almost always a time-consuming process. While doing so during an outbreak is probably not on the top of our priority list, it needs to be done at…[Read more]

Thanks for pointing out these additional attributes.
Both acceptability and portability would play important roles in improving and upscaling the system!

Nice job – keep it up!

Thanks for sharing your idea! You have mentioned many technologies that could help in the process. Of course, having a system that monitors the population is always a plus in detecting outbreaks!

Thanks for sharing this innovative discovery! I would love to see the field testing of this technology on a large scale. This could indeed be a new screening tool and might even be applicable to other emerging respiratory diseases.

Keep up the good work!

Thanks for sharing your idea!

Thanks for sharing about this data linkage system. Irrefutably, having a centralized data hub that links with all related units supports more efficient patient care!

Hopefully, we will have a more centralized/cooperative data-sharing platform in our routine patient care as well!

Thanks for sharing your idea and pointing out the differential diagnosis of the rash that needs to be confirmed by additional laboratory tests.

Keep up the good work!

Thanks for sharing your insight. It’s interesting that you mentioned natural language. One of the foreseeable challenges is the different language composition and slang. Nevertheless, it is definitely one of the new IT applications in the field!

Keep up the good work!

Good job mapping the technology with specific tasks in an outbreak investigation!
I like the fact that you also mentioned the use of unmanned aerial vehicles and global positioning systems in the process. Those could also be applied to the work, not just the data pipeline and software!

Keep up the good work!

Nice job! I agree that IT could help throughout the process. Your answer #4 is very well depicted especially after the COVID-19 pandemic since almost every work has been on zoom call, including outbreak investigation!

Thanks for sharing this fall-detection feature from the Apple watch. I think they are going in the right direction since pretty much the whole world is facing an era of an aging population. Fall is definitely a condition that needs to be detected!

Hope we will see more applications for the aging society!

Thanks for sharing your idea! Good job pointing out the MSM which is one of the high-risk groups for monkeypox.

Keep up the good work!

Thanks for sharing about telemedicine apps. Irrefutably, telemedicine is going to change medical practice globally. I agree with your post that the applications support the practice leading to several implementations and will be so even after the COVID-19 pandemic.

Looking forwards to seeing more telemedicine examples and applications!

Thanks for sharing about the data visualization dashboard.
A picture DOES worth a thousand words!

Thanks for sharing about this technology! I am impressed not only with the disease control functionality of the application but also with the effort to maintain the privacy of related parties which seems to be an important issue with all tracking applications.

Thanks for sharing your idea! You are on the right track thinking about the possible surveillance strategies and the need to still be responsive to the potential change in the disease situation.

Keep up the good work!

Thanks for sharing your idea! I like your recommendation regarding the web application. Organizing a webpage systematically could result in a comprehensive one-stop outbreak reporting platform!

Keep up the good work!

Thanks for sharing your idea! It’s nice that you mentioned the use of PROMED as part of your dissemination tool towards the medical/epidemiologist community since they are one of the main audiences in this issue!

Keep up the good work!

Impressive m-health example! I think it is nice to have this sort of personal radar for potential COVID-19 transmission. It would be fascinating to see the performance of this system such as from a user or field report.

Looking forwards to see other m-health applications!