Ching To Chung

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 S…[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 prescriptio…[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]

1. Infant Mortality Rate (IMR)
Definition: Deaths of infants under 1 year of age per number of live births.
Formula: IMR = (Infant deaths under 1 year/Live births) × 1,000
Usefulness: Indicates overall status of a population’s health resources and socioeconomic factors

2. Neonatal Mortality Rate (NMR)
Definition: Deaths of infants within the…[Read more]

I am trying to do assignment 2 of constructing a decision tree. However, I don’t see any labels that I can predict on using the dataset. The original dataset contained a malignant/benign label. The dataset I download from the assignment page has no such label. A tree cannot be constructed without the prediction label since it is not an…[Read more]

Here are some common methods that are used for the prevention of HPV.

### 1. Vaccination

Vaccines like Gardasil and Cervarix protect against the most common high-risk HPV types such as HPV 16 and 18. In places like Hong Kong, there is an emerging HPV vaccination capaign to provide free doses to primary school children in their adolescence…[Read more]

Modelling HPV

The primary mode of HPV transmission is through vaginal, anal, or oral sex with an infected person. Many individuals with HPV are asymptomatic and often unknowingly transmit the virus to others. There are many different types of HPVs, some doesn’t cause much symptoms, but there are high risk types which may lead to cervical cancer…[Read more]

I am interested in exploring the transmission of HPV (Human Papillomavirus) in Hong Kong. HPV is one of the most significant sexually transmitted infections and may act as an oncovirus potentially causing cancer. However, there has been little attention on the topic by the public health authorities in Hong Kong until recently. Optional free HPV…[Read more]

Thank you so much! You’re a genius!

I have also just noticed that the code generates an incorrect map of the local Moran’s I. I am opening another thread for it. Do you have any ideas why?

Question 1: How will you apply the results of this research article into different health care departments/settings or chronically ill patients, if this would be beneficial in your future practices e.g., Mental Health, Diabete, Oncology or others?

This paper shows the potential and importance of integrating ePROs in modern day healthcare. There…[Read more]

1. How can integrating environmental data improve the accuracy and timeliness of malaria outbreak predictions compared to relying solely on epidemiological data?

From what I learnt in my undergraduate studies, I had a seminar where we discussed that certain infectious diseases have been exacerbated by influences of climate change under the…[Read more]

Question 1: In your experience, what are the biggest challenges to achieving sustainability in health information systems, and how can they be addressed?

I think the biggest problem is planning ahead, since government officials tend to be rather short-sighted and see functions of EHIS as individual one-off projects. This means that as opposed to…[Read more]

Seminar 9
1. Please discuss how you think the perceived ease of use and usefulness may differ among the different demographics.
– Age
– Gender
– Education level

For age, I think the younger generation would find it easier to use new technology, while the older generation generally struggle with the skills of using smartphones and operating a…[Read more]

1. From the results, What would you recommend to Tak Hospital to improve the syphilis surveillance system?

A recurrent theme in the paper is the difficulty to operate the system when it comes to non-Thais. This is important as the majority of the Syphilis cases is attributable to non-Thais, and cases are likely to be underreported when it comes…[Read more]

1. How can implementing artificial intelligence technologies in epidemic surveillance systems be enhanced to better detect and respond to disease outbreaks?

I think a great potential is the power of the LLM models nowadays that allow real-time monitoring of online unstructured textual data. Nowadays our epidemic preparedness is dependent on…[Read more]