Wannisa Wongkamchan

Thank you for sharing your thoughts! I think this comparison highlights how different political systems shape leaders’ communication styles. PM Lee’s speech shows a transparent, unified approach, while President Trump’s focuses more on national strength and reassurance. Each leader met some CERC principles, but Lee’s message felt more groun…[Read more]

Thank you for sharing your thoughts. I agree that PM Lee’s speech felt more empathetic and fact-based, backed by clear facts, which aligns well with effective crisis communication. On the other hand, President Trump’s speech seemed more focused on praising administrative efforts, which may have lacked the same level of direct public guidance and…[Read more]

In reviewing the public communication about the COVID-19 situation from Singapore and the USA, both leaders PM Lee Hsien Loong and President Donald Trump communicated important information to their citizens, that have similarities and differences in their messages.

How did they apply the CDC’s six principles of CREC in their COVID-19 a…[Read more]

Thank you for sharing about the healthcare situation in Myanmar. The problem trust and connection between people, affects healthcare data and services. I really hope the situation will get better soon.

Thank you for sharing. I agree that our healthcare team needs to improve to strengthen our preparedness. By using digital tools like electronic health records and telehealth, we can respond more effectively to future health emergencies.

Thank you for sharing these challenges about digital health in Myanmar. While these are serious issues, I believe Myanmar can make progress by starting with simple mobile health solutions that work even with basic phones, focusing on areas that are ready for this change. I hope the situation will improve step by step, especially for communities…[Read more]

Based on five themes proposed in the article, my country may need to improve in these areas to enhance preparedness for future pandemics:

1. Team: While my country has a good healthcare system, there’s still a need for better coordination between public health teams, hospitals, and local health volunteers when sharing health data and responding…[Read more]

Thank you for sharing your opinion, I’ve heard that drug resistance is a major public health issue. In the case of XDR TB, it’s crucial to have robust data on patient numbers, mortality rates, and transmission patterns to make a definitive assessment about whether it meets the criteria for a PHEIC.

Thank you for sharing your opinion. HIV has a significant impact on public health, but it’s not “unusual or unexpected” at this point. It’s been around for decades and we have a good understanding of its transmission and prevention. I’m not sure it meets all the criteria for a PHEIC. Perhaps in the future a new, highly lethal strain of HIV could…[Read more]

The list of outbreaks declared as PHEIC include:
– The 2009 H1N1 Pandemic
– The 2014 polio eradication
– The 2014 outbreak of Ebola in Western Africa
– The 2015-2016 Zika virus epidemic
– The 2018-19 Kivu Ebola epidemic
– The 2019-nCoV outbreak (COVID-19)

These outbreaks raise concerns due to several key factors:
1. High Morbidity and Mortality…[Read more]

Thank you for clearly summarizing the gap in the system’s usefulness. I agree that making the system interactable through data sharing between the surveillance system and public health agencies is crucial. This development could lead to faster outbreak responses and better management of hepatitis B cases.

Thank you for explaining the detailed gaps in the system’s usefulness. The suggestion to implement mandatory follow-ups after 6-12 months and track chronic cases backwards could strengthen hepatitis B surveillance.

Based on the evaluation of the Korean hepatitis B surveillance system in the report by Chung J et al., two specific gaps identified in the current surveillance system are:

Gap 1: Misreporting of Chronic Cases
The system is designed to monitor only acute hepatitis B cases, but there are instances where chronic cases are mistakenly reported as…[Read more]

Thank you for sharing this detailed explanation of how IT can help with outbreak investigations. I like how you broke down each step and gave specific examples of useful tools. It’s interesting to see how modern technology can make these important public health processes faster and more efficient.

Thanks for sharing how IT can help with outbreak investigations.
mobile Apps are great for collecting data during outbreaks. They let health workers quickly or real-time enter information about new cases right where they are. Online platforms then make it easy to share this data, helps everyone stay up-to-date and respond faster to the outbreak.

Thanks for sharing that information about how IT can help with outbreak investigations. I agree technology can able to collect data faster, especially from remote areas, and run computer models could really help figure out what’s causing an outbreak more quickly and accuracy.

Information technology supports outbreak investigations by improving data collection, analysis, and communication, enabling public health agencies to respond more quickly and effectively to outbreaks.

Surveillance and Data Collection: Electronic Surveillance Systems like the National Outbreak Reporting System (NORS) enable real-time data…[Read more]

Yes, the COVID-19 pandemic has accelerated the adoption of machine learning in epidemic surveillance. The rapid spread of the virus and the need for real-time information highlighted the limitations of traditional surveillance methods.

Using machine learning for disease surveillance can be expensive, so it’s important to carefully consider the costs and benefits before implementing it. Regarding the acceptance of reports from online sources, health authorities need to have a process in place to evaluate the credibility of the information. This may involve verifying the source of…[Read more]

Data dashboards are a good tool for understanding the spread of COVID-19. They can help us visualize trends, identify hotspots, and track the effectiveness of different interventions. By making complex data more accessible.