Wannisa Wongkamchan

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.

Telemedicine can be helpful for managing mild COVID-19 symptoms, can help reduce the burden on healthcare systems and prevent the spread of the virus. However, telemedicine may not be suitable for all cases. Additionally, delays in medication delivery can be a challenge, especially in remote areas or during times of high demand.

The use low-power Bluetooth technology for contact tracing during the COVID-19 pandemic was a good tool. The low adoption rate of contact tracing apps is a significant challenge.

laboratory-confirmed surveillance is the gold standard for confirming monkeypox cases, but all surveillance not end up at laboratory-confirmed surveillance, especially in areas with limited laboratory resources. In some cases, clinical features and epidemiological evidence may be sufficient to suspect a case of monkeypox.

Population-based surveillance would be preferable for identifying all monkeypox cases. It covers a whole area and can show us the big picture of how the disease is spreading. However, it might be harder to do everywhere because it needs a lot of resources.

Yes, I agree that case-based surveillance is indeed effective for monkeypox, providing quick, detailed information for health officials. However, it’s best for severe or symptomatic cases and may overlook mild or atypical ones. Therefore, combining multiple surveillance methods becomes crucial when cases surge, ensuring a more comprehensive…[Read more]

Thanks for sharing these thoughts on monkeypox surveillance. I agree that a mix of active and passive methods is a good idea. Checking borders closely can catch cases fast, while reports from doctors and labs help watch the whole country.