Thundon Ngamprasertchai

Pneumococcal disease modeling
The model divides the total population(N) into six sub-classes according to their disease status. susceptible S(t), vaccinated V(t), infected I(t), and recovery R(t).
The total population size: N = V+S+I+R
SVIR model
Here is the link for table; https://1drv.ms/w/s!AjwS_uCrdS0jg_sI48FLeMyEWx3YLw?e=BPw4sA

Topic: A 13-valent pneumococcal vaccine (Prevnar 13®) implementation in Thai elderly
Invasive pneumococcal disease in elderly is preventable by vaccine in high income countries. However, this vaccine is not provided by Thai national immunization program according to high cost.

Rationale: Previous studies on economic evaluation of pneumococcal…[Read more]

ช่องการดื่มสุรากับสูบบุหรี่
– ควรระบุชัดเจนว่า ไม่เคยเลย never หรือเคยแต่หยุดแล้ว หรือยัง active
– แยกปริมาณที่สูบหรือดื่ม เป็นอีกข้อหนึ่งของคำถาม
– ระบุเป็นช่วงปี หรือเดือนที่หยุด รวมถึงจำนวนที่สูบตอนนั้น ไม่ควรให้ผู้กรอกคำนวณ mean quantity ตอนกรอก CRF ครับ

Thank you Aj Saranath and my colleague for your suggestion. These would be helpful tips to develop future surveillance system.

I love your idea about scrub typhus. Most of patients are empirically treated with doxycycline which leads to under diagnosis. Most of patients dramatically clinical improve after 2-3 days of medication. The key of your system is how to make definite diagnosis of scrub typhus. The limitation of IFA is positive after 1-2 weeks of clinical onset.…[Read more]

This is very interesting system because hypertension is classified as silent killer. Your system would help a lot of Thais who do not recognize their health status. I recommend that your system may initially apply for outpatient clinic internal medicine. All population are adult, mostly age more than 18 years. Since hypertension in children or…[Read more]

Your presentation is Great!, comprehensive, informative and complete. Additionally, for legal consideration, I consider about data permission. We need to ask inform and consent with their parents. Case definition, I assume that “probable case” is not consist of laboratory result. If the test show positive with clinical suspicious, it could be…[Read more]

The video is unavailable

I agree with you that information technologies may can help this challenge. We might need Artificial intelligence (AI) for data approval before system alert

The main challenge of early warning system is data interpretation. Early warning should integrate all forthcoming outbreak data in surveillance system and interpret these into results. For example, EWARS for dengue outbreak detection can analyze weather change, mosquito number increasing before dengue outbreak occurs. Other challenging factors are…[Read more]

Here are the relation between informatics issue and CDC 21st Century vision

1. Data quality and information accuracy -> “high-value data”
2. Data security -> “data exchange in a secure”
3. Timeliness -> “data exchange in timely manner”
4. Interoperability -> “tool is sophisticated”
5. User assurance and empathy -> “user friendly”
6. Resp…[Read more]

For PM Lee Hsien Loong, his speech and communication skill were followed all WHO recommendations. Also, non-verbal skills were impressive. He showed us the fact, built trustworthy and planning.

For President Trump, most of the content covered on certainty of economic capacity or funding resource. Despite his acceptance of severity of virus, he…[Read more]

Since 2009, there have been six PHEIC declarations:
1. 2009 H1N1 (or swine flu) pandemic
2. 2014 polio declaration
3. 2014 outbreak of Ebola in Western Africa
4. 2015–16 Zika virus epidemic
5. 2018–20 Kivu Ebola epidemic
6. the ongoing COVID-19 pandemic

The purpose of PHEIC declaration is to get international attention on health risks which ext…[Read more]

I agree with you about time analysis air pollution related data. These information might represent the relation between incidence of air pollution related diseases and pollution level. For example, In Thailand, prevalence of chronic lung diseases are higher than others in Northern part.

– Yes, air pollution is the public health emergency (PHE). Air pollution is classified as hydro-meteorological group in PHE. It causes long term consequence on health such as allergy, chronic lung disease or cancer. In addition, it affects worldwide. Not only individual country concern but also global impact is considered.
– There are two…[Read more]

In case of diseases underestimation, these will lead to under recognition or poor prioritization by policy maker. They might disregard the importance of diseases. In contrast, when the surveillance is falsely alarmed or overestimation, these will contribute to workload burden and budget lost.

My idea about how information technology is integrated to outbreak investigation step are as follows;
1. Verification and outbreak confirmation -> Electronic reporting system
2. Find case systematically and record information and Perform descriptive epidemiology -> Electronic reporting system, Online platform data (eg Google sheet) and Spatial…[Read more]

The problem of scrub typhus is disease confirmation. Most of suspected cases were empirically treated with doxycycline then we followed clinical resolution without definite diagnosis. Positive of IFA test usually need 1-2 weeks which is not practical in our practice.

I agree with you about lack of research support regarding public health field. However, we must integrate public health or system surveillance to innovation. Since funder focus on innovation nowadays.

totally agree with you.