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    • #31284

      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

    • #30974

      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 vaccine in Thailand based on static rather than infectious modeling approach.

      Research question: Is it worth to implement a 13-valent pneumococcal vaccine in Thai societal perspectives based on infectious modelling approach?

      References:
      – Kulpeng W, Leelahavarong P, Rattanavipapong W, et al. Cost-utility analysis of 10- and 13-valent pneumococcal conjugate vaccines: protection at what price in the Thai context? Vaccine. 2013;31(26):2839-47.
      – Dilokthornsakul P, Kengkla K, Saokaew S, et al. An updated cost-effectiveness analysis of pneumococcal conjugate vaccine among children in Thailand. Vaccine. 2019;37(32):4551-60.
      – Ounsirithupsakul T, Dilokthornsakul P, Kongpakwattana K, Ademi Z, Liew D, Chaiyakunapruk N. Estimating the Productivity Burden of Pediatric Pneumococcal Disease in Thailand. Appl Health Econ Health Policy. 2020;18(4):579-87.

    • #26117

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

    • #25372

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

    • #25319

      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. Therefore, your system might delay to detect the outbreak. In addition, most rapid test to detect scrub typhus is not valid. Eventually, we need early definite case detection to make your system achievement.

    • #25318

      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 pregnancy need distinct treatment. Also, syndromic surveillance can be integrated to yours. A few of patients visit hospital when they have symptoms such as headache, stroke or heart failure. Lastly, active surveillance might be better when we can early detect patients finding in their village or home.

    • #25317

      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 definite case.

    • #25203

      The video is unavailable

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