Salin Sirinam

Thank you for sharing your real case. It helped me understand the issue clearly, and your lessons learned are practical. I think your example shows the common pitfall where test systems are treated as low-risk, but attackers don’t see the difference. This is why consistent security plans and routine audits are necessary for every system, not j…[Read more]

I’d like to share an example of an incident in Thailand in 2020, when a tertiary hospital in central Thailand was attacked by ransomware (Ref: https://www.bangkokpost.com/thailand/general/1982423/ransomware-attack-on-saraburi-hospital).

In summary, Saraburi Hospital’s computer system was hit by ransomware, causing the entire system to crash. Thi…[Read more]

Hi Jenny 🙂 I have limited IT knowledge, but I think data extraction from EHRs would use SQL to structure and integrate data, Python or R to clean and automate it. Additionally, AI/NLP to extract structured information from texts like radiology reports, before entering the CKDSS.

Thank you for your insightful comment as always! I totally agree that linking evaluation results to long-term impact is also important. Especially in the CKDSS, the evaluation indicators such as data accuracy and user feedback can inform policymakers about areas needing improvement, helping early detection programs and overall CKD care.

Hi Kevin! So although the CKDSS is based on laboratory and clinical data, it can still be used for the general public, especially during the dissemination stage. After data analysis, the results provide important information on the burden of CKD in Thailand, which can be used to increase public awareness and engagement. Recently, public health…[Read more]

Thank you for your comment, Hteik 🙂

Since CKD is a slowly progressive disease, data collection will be continuous through the EHR system once abnormal values meet the pre-defined criteria, with automatic extraction from laboratory records. Additionally, data will be aggregated and reviewed monthly at the hospital level, and analyzed quarterly at…[Read more]

Hi Sirithep! Thank you for the presentation. I appreciate that you chose RSV, as it’s increasingly relevant not only in children but also in adults and the elderly. I agree with the use of sentinel and syndromic surveillance across schools and daycare centers, though it would be helpful to clarify how active surveillance will be implemented.

I a…[Read more]

Hi New! Thank you for your presentation. I like that you clearly explained the case definition, although the COVID-consistent symptoms might be too broad and could benefit from further clarification. I would suggest visualizing the data flow and showing how each stakeholder connects to make it easier to understand how the system works. I also like…[Read more]

I like that you mentioned leadership style. Sometimes it depends on the context, the nature of the country, the character of the people, or how they would like to hear from and be supported by their leaders

Based on CERC, PM Lee was a more effective communicator. His statement was delivered at the initial phase of the outbreak and stated what was already known by bringing up the scientific evidence, such as the infectivity and mortality comparison, which built the strong credibility. He also expressed empathy and showed respect for public reaction by…[Read more]

I agree with you and I think Thailand has the same issue relating trust in the government.

Thailand needs to improve in:

– Techquity: Many people still have limited capacity to use digital tools, and this gap seems to be wider. It results in unequal participation in digital health programs.

– Transparency and trust: Fragmented data sharing and unclear data governance cause low confidence and trust among people. They are unsure how…[Read more]

PHEIC outbreaks were: H1N1 (2009), Polio (2014), Ebola (2014, 2018), Zika (2016), COVID-19 (2020).

These outbreaks raise such concerns because they were threat to public health by causing severe morbidity and high mortality. Some also posed rapid global spread.

The possible PHEIC in the future could be the emergence of a zoonotic influenza…[Read more]

1.) Which single design limitation most threatens valid estimates of sensitivity and representativeness? How would you address it within six weeks?
– It was the lack of involvement of private healthcare providers, resulting in under-reporting and incomplete documentation. When this data was missed, it means the community awareness of AEFI report…[Read more]

I agree with the point that text messaging and chatbots can be hugely useful nowadays, given the way of our communication in this era. Public health authorities can use these tools to deliver messages to people instantly. Also, IT devices can be useful in the reverse direction in that they aren’t only for communication but also for monitoring the…[Read more]

1. Verification and preparation
– IT can be used for verification of case numbers by comparing them to the normal baseline on IT-based surveillance systems
– It can send timely alerts when there’s an excess number, which also helps in identifying the Place.
– IT helps to deliver rapid information to the authorities responsible for v…[Read more]

I still find that some platforms continue to spread misinformation about COVID-19 even today, especially in open chat groups that started during the pandemic and have now turned into anti-vaccine communities. I have seen efforts from both the government and health influencers trying to tackle this news by sharing correct information online to…[Read more]

I choose social media platforms as a tool that I found having a strong impact on COVID-19 surveillance and response. Through social media, people can quickly become aware of an emerging disease and its characteristics by accessing information shared by public health authorities and their communities. For example, these platforms help spread…[Read more]

For dengue scenario:
1. How can surveillance help to detect and control the disease?
– Surveillance helps detect dengue by monitoring trends and signals of dengue cases in the target area, resulting in an appropriate response when any change is found, e.g. increasing acute febrile illness suggesting dengue infection. It not only helps in early…[Read more]