Naphat

No.3 of page 341
A significant test result (P≤0.05) means that the test hypothesis is false or should be rejected

A low P-value may conclude that there is statistical evidence supporting the rejection of H0, but this does not mean that the alternative hypothesis is true.
From studies and sample data, there is or is not enough evidence to i…[Read more]

If the quantitative research questionnaire is unable to answer the research question, the qoustionairs of qualitative research can help explain why paticipants do not use bednet to prevent malaria.

I am a lab technician at AFRIMS who has no expiriences in statistic analysis.
In some research lab skill that I was trained. Its use SPSS for calculated PRNT50.
I have to learned biostatistics when I was an undergrad students.
I’m glad to learn more about statistic in Health informatics by using R programing and hope it will prove my skills.

I think that if we want to replacing the old technology by new technology, the new technology should have more benefits than the old technology and can reduce important things like cost and time but still maintain efficiency output or better.
Make sure that useful and make sure that easy to use.
Its can be checked by experts in that field of new…[Read more]

The ‘external variables’ that I think might influence an individuals perceived ease of use or perceived usefulness of a new technology are

– Easy to use, features and steps are not too complicated.
– Privacy and security of new technology
– reliable system

1. Efficacy: How the vaccine performs in ideals condition or controlled clinical trial

2. Effectiveness: How the vaccine performs in the wider populations

3. Efficiency: the probability the vaccine will prevent someone from catching diseases.

In my opinion, I think one of the confounders is lack of internet access. There is a problem with access to the Internet or access to the Internet is less than that of young people. Maybe its cause by cost of internet package or device not support the internet as 4G or 5G.

“Infant mortality rate”

Definition
Infant mortality is the death of an infant before his or her first birthday.Causes of Infant Mortality are five leading causes of infant death were:
– Birth defects.
– Preterm birth and low birth weight.
– Injuries (e.g., suffocation).
– Sudden infant death syndrome.
– Maternal pregnancy…[Read more]

Sex: male
Place of birth: Bkk
Education: ฺB.Sc Microbiology
Occupation: Lab Tech.
Workplace: AFRIMS
Working experiences: 7 Years

What intervention(s) you are considering in your modelling?

– Social distancing & Lockdown includes avoiding large gatherings, physical contact, and other efforts to mitigate the spread of infectious disease. According to my model, this is going to impact or decrease of transmission rate or beta.

– Case identification & isolation; Vaccine &…[Read more]

Thank you for your reccomended. I do have some research and see many parametors and interventions for COVID-19 Model. As you said, the real world problems are a lot more complex than the maths world! Thank you krab 🙂

Coronavirus disease 2019 (COVID-19) is an infectious disease emerging in China in December 2019 that has rapidly spread around China and many other countries. On 11 February 2020, the World Health Organization (WHO) renamed the epidemic disease caused by 2019-nCoV as strain severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
SEIR Model…[Read more]

Topic; Estimating asymptomatic and undetected infections of COVID-19 in Thailand

Rational; The outbreak of epidermic of Coronavirus disease 2019 (COVID-19) has led to more than 1.3 million total reported infections cases and about 13k deaths in Thailand. The higher the number of cases, the impact on Thai public health resources is insufficient…[Read more]

Thank you for your comment and I agree with you in term of ” This is the first steps and a part of the bigger picture that the machine learning field would help us fight against the pandemic”

and stay safe krab Matt. 🙂

Thank you for your presentation for this technology is very useful in many situations.
If talking about the limiting factors or barriers in the adoption of this technology, it would be a matter as follow
1. The cost of using technology
2. People’s non-cooperation
3. Security and privacy of personal data
4. Related Acts

And for this technology can…[Read more]

I had no experience with the AMR surveillance system before. Based on listening to your seminar, I think that in developing a better surveillance system, all of 3 essential features that can improve i-AMRSS surveillance performance are equally.

I think it’s a great idea that if we can integrate a human-animal surveillance system together in One Health System, it can help to shorten the time and prevent accidents. anyway, there are many differences factors between human and animal disease surveillance, including numbers, population groups, targets, stakeholders in the system, and…[Read more]

Thank you for presenting this topic which is very new to me and I have never heard of it. And I’m not sure if my perception is correct.

Blockchain technology to be used in our public health is quite difficult and probably not soon due to many factors to consider, such as the budget for technology procurement, training for stakeholders, but if…[Read more]

Thank you for your presentation about EWARS.

As everyone said EWARS was succesfully implemented by itself. Its easy and ready to use in one box.
For my concern about EWARS are the interoperability of stakeholders and work-load of staffs.