Ching To Chung

1. What additional factors should be considered to identify barriers and unmet needs in health information seeking among youth for HIV/STI and RH than in the paper?

I think peer influences and the attitude of friends could be included in the paper. I saw some respondents saying that they took HIV test because their friends are also taking it. But…[Read more]

1. How can the decision tree model be integrated into clinical practice to assist surgeons in preoperative planning and decision-making?

While the decision tree model may not be a big game-changer in clinical practice, I think it can offer some valuable cautions for surgeons because they may have underestimated certain risks happening in the…[Read more]

1. Why was the author interested in investigating the suicide problem in Thailand during the time?
The author was interested in the investigation because the number of suicides in Thailand has seen a general increase over the past decade, ranging from 3600 to 4000 cases every year. While in other developed countries, scholars have conducted a huge…[Read more]

What are possible reasons locations in epidemiological research have not been incorporated as much as other components in epidemiological research? How can spatial epidemiology be considered as an interdisciplinary science?

As mentioned in the paper, I think two of the major reasons is the availability of data and the appearance of easy-to-use…[Read more]

1. I think for hospitals and medical facilities that have decided to incorporate medical AI systems into their diagnosis or treatment process, they need to set up a dedicated department to handle ethical issues and problems surrounding the use of AI. The department should be in charge of oversight of all AI uses, and regularly review its security…[Read more]

1. Hong Kong is a very urbanized city, so there is no decision support system that is specifically developed for rural areas. However, in China, this is a very common problem as there are millions of people living in rural areas, and there is great discrepancy in medical technology and personnel. In rural areas, they have clinicians known as…[Read more]

Here’s my infographic for this week: https://snipboard.io/k1iqzR.jpg

My infographic this week:
https://snipboard.io/7ZVo6j.jpg

Here is my infographic!
https://snipboard.io/iIDZb6.jpg

Hello! This is my infographic. (I guess it’s more like a poster than an infographic, I am too used to making posters)

https://snipboard.io/ATwrBu.jpg

I would like to talk about point 6, which mentions that a P-value of >0.05 does not necessarily means that no effects are observed. I think this is a very common point or error that a lot of people profoundly believes. Many people treat the p-value as a magical threshold to the point that they think anything below it is a YES and anything above it…[Read more]

1. I am Toby and I am not working now because of my sickness. However, I have done statistics work during my university years. I have mostly used excel, Python, and R.
2. Yes, I have learnt mostly data science, machine learing, and deep learning. However, I am a bit blurry on traditional statistics theory. I have applied statistics in a lot of of…[Read more]

Sex: Male
Age: 21
Place of Residence: Hong Kong

If the above is in a study about DSRCT or Sarcoma, people will already know it’s me because it is so rare and I am the only one in Hong Kong that is 21 years old!

If it is a more general study, then education would also be needed to identify me.

Education:
Current Student of Mahidol Masters of…[Read more]

1. Focus Groups: I would use focus group discussions and gather all individuals who do not use bednets to collectively share their thoughts and experiences. Through group interactions, it may be able to discover the common reasons for not using bednets in the community, such as economic difficulties, or cultural norms.

2. Observation: By…[Read more]

TAM would suggest that the new technology must be at least as useful as the old technology for a potential switch. The Technology Acceptance Model suggests that perceived usefulness is a key factor of individuals’ acceptance and adoption of a new technology. Individuals are more likely to accept and use a technology if they perceive it to be useful.

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

Age and generational differences: People in different generations have experienced different paradigms of technology. This is an evident phenomenon nowadays. Younger people expects everything to be a…[Read more]

Efficacy is the capacity for producing a desired result or effect in an ideal setting. Does the agent or intervention “work” under ideal, “laboratory” conditions? For example, a medicine could be ready to improve a patient’s symptoms in a perfect environment, where they’re closely monitored in order that they stick perfectly to the prescript…[Read more]

I think occupation is a confounder. Young people, whether they are students or workers, have to commute to school or their workplace every weekday, which guarantees a high frequency of contact. Meanwhile, for older people, many of them may have retired and do not have an occupation. This would mean they would tend to stay home on weekdays. This…[Read more]

Infant Mortality Rate is the proportion of infant deaths under one year old per 1000 live births.

It is calculated by (**the number of deaths in the first year of life)/(the number of live births)*1000**

It is useful for comparing the quality of health systems, especially among less developed countries. If there is high IFR, it may mean that the…[Read more]