C19 in Myanmar

[Kevin Zam]

COVID-19 remains one of the most significant public health challenges of the 21st century, causing widespread illness, economic disruption, and social impact across the globe. Effective surveillance is critical for detecting new cases, monitoring trends, and guiding timely interventions to prevent outbreaks.
This presentation outlines the design of a comprehensive COVID-19 surveillance system (C19) that integrates multiple surveillance approaches—passive, active, sentinel, syndromic, and event-based—to ensure early detection and rapid response. It also highlights the legal and ethical considerations, clear case definitions, and collaboration among key stakeholders including the Ministry of Health, laboratories, and community health workers.
Furthermore, the presentation illustrates the data flow, collection, and transfer methods using digital tools such as electronic reporting systems, mobile applications, and cloud databases. It emphasizes the importance of data utilization and dissemination for decision-making, as well as the evaluation indicators that measure information quality, system performance, and user satisfaction.
Through this integrated approach, the COVID-19 surveillance system aims to enhance national preparedness, support evidence-based public health action, and protect communities from ongoing and future outbreaks.

[Wah Wah Lwin]

Hi Kevin! It’s a great and detailed presentation! really informative! I could see so much efforts were made to respond C19, that integrates multiple surveillance approaches.

[Siriluk Dungdawadueng]

Hi Kevin, your presentation clearly shows a strong understanding of COVID-19 surveillance. The integration of passive, active, sentinel, syndromic, and event-based approaches is excellent and ensures timely detection. I like the use of digital tools for real-time reporting and your attention to legal, ethical, and stakeholder collaboration. Including evaluation indicators also shows a commitment to improvement. You could further enhance it by showing how feedback loops work between local and national levels. Great job overall!

[Nang Phyoe Thiri]

Hi Kevin. Thank you for the presentation. I am really interested in data interoperability, as it is one of the challenging issues for most of the information system. I would like to know is there any method to measure data interoperability?

[Kevin Zam]

Hello Nang Phyoe Thiri,
Thanks for your interest in data interoperability. As fellow Myanmar, we might need initial survey and analysis on what data standard and system are using by our service providers in Myanmar. According to my knowledge, the government hospital part might not be a problem while the involvement of different data system by private hospitals might need detail solution.
In short, we will need data scientists for this data interoperability analysis I think.

[Author]

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