Tanaphum Wichaita

[Tanaphum Wichaita]

Efficacy – the outcome that measure in the controlled conditions or the best scenario in that study
Effectiveness – the outcome that measure in the real situation. mostly lower than Efficacy because in real situation have conditions that can’t control.
Efficiency – outcome per used resource (time/money/people etc.). The outcome achieved relative to the resources used. It assesses whether the benefits obtained are worth the resources invested.

[Tanaphum Wichaita]

I think “Physical ability” can be a confounder. Young adults are usually stronger and have more energy, so they are more active and interact with more people than other age groups. Older people may get tired more easily, and children may have physical limitations, so they have fewer contacts or may find it harder to use some devices. Therefore, differences in physical ability may influence contact patterns, not just age.

[Tanaphum Wichaita]

1.The WHO “building blocks” framework was commonly used, despite its known limitations. Is this a helpful starting point for standardizing evaluations, or does it risk oversimplifying complex, dynamic health systems in conflict?

– The WHO “building blocks” are a helpful starting point because they give a clear standard guide and common language for planning evaluations. The authors say they used it because most practitioners know it, even though it is not ideal for conflict settings.
But it can oversimplify conflict health systems, which are complex and change quickly. The paper also notes this framework can miss important nuances in processes and outcomes, So it is best used as a base, then adapted to the local conflict context

2. The authors suggest that evaluations are often donor‑driven and focus on externally funded projects. How might this influence research priorities and the types of questions asked (or not asked) in conflict‑affected health systems?

– If donors fund the work, evaluations often focus on donor-funded projects and donor priorities. The review found many studies were NGO project evaluations for international donors, using simple and low-cost methods.

This can lead to more questions like “Did the project meet targets?” instead of “What does the whole health system need?” It may also push attention toward funded areas like service delivery, while neglecting topics like financing, information systems, and medicines.

[Tanaphum Wichaita]

1. What are the strengths and limits of using only basic survey data (like age, BMI, blood pressure) for clustering T2DM populations?

Using only basic survey data like age, BMI, and blood pressure is good because these data are easy to collect, common in many countries, and easy to compare between places. The study showed that even simple data can still make useful groups (clusters) of people with T2DM. However, the weakness is that basic data cannot show deeper health details, so some groups may overlap and some people may not fit clearly into one cluster. Also, the surveys did not have important lab data like HbA1c or diabetes complications, so the clusters cannot explain disease control or future outcomes well.

2.The study pooled 13 national surveys with different age structures and year. How does pooling datasets with different age structures and survey years affect the definition of patient clusters generated by machine learning models globally?

Pooling surveys from different countries and years can change the clusters because each survey may have different age groups, such as some surveys having more older people and others having more younger people. This can make the cluster results different across countries, even if the model is the same. Also, surveys were done in different years, so risk factors and healthcare may have changed over time, which can affect the cluster patterns. Pooling helps by giving a bigger sample size and a wider picture, but we must be careful when comparing countries because the differences may come from survey design and time, not only real differences in patients.

[Tanaphum Wichaita]

Discussion point 1
Yes, it should! Evaluating the supply side helps ensure that changes in health outcomes reflect a reliable digital system, not problems in implementation.

Data collection procedure: It checks whether the 14 CHWs used the smart health kit and followed the same measurement steps (e.g., BMI, BP, blood glucose, MUAC), so the “doorstep” measurements are accurate and consistent across households.

Data quality: It helps explain where “invalid observations,” inconsistencies, or outliers come from—whether due to measurement mistakes, data entry issues, device/app malfunction, or problems in storing/transferring data (the study stores data in AWS and cleans it during analysis).

User experience: easy-use tool is for CHWs and how acceptable it is for participants—so the app is simple to learn, practical to use during visits, and trusted by users. The study also mentions using FGDs/KIIs to explore service usability and adherence, so this could be strengthened with more systematic reporting.

Discussion point 2

Since the study used a repeated cross-sectional observational design without a control group, improvements in health outcomes may have been influenced by other factors rather than the intervention alone. A controlled trial could strengthen the study by allowing researchers to compare populations with and without the intervention, making it easier to determine whether the digital health model truly caused the observed changes.

[Tanaphum Wichaita]

1. What are the ethical implications of removing the requirement for physical presence during consent?

Supports eligibility and inclusion. Remote consent helps include eligible participants, especially when there are not many participants or when travel is hard for the participant or the research team.

But it may shift burden onto participants. Asking participants to complete consent remotely can create extra effort: they must find time, have a suitable device, and have enough mental/physical space to review the information. This can be hard time during an important or stressful time when they should rest.

Autonomy is still protected, and retention may improve. Participants can still withdraw from the study at any time if they no longer wish to take part. At the same time, offering a convenient remote option may reduce dropout by making participation easier to continue.

2.Does testing comprehension before signing truly empower participants or create a barrier to participation?

Testing comprehension can be a good step because it helps participants understand the study better and ensures their understanding matches what the researchers intend. It can also act as a basic screening step before joining the study.

However, if the comprehension test is too long, it can become a barrier. Longer tests may reduce participation because people feel it takes too much time. For example, survey data suggests that completion rates can drop as the number of questions increases (e.g., 1–3 questions ~80%, 4–8 questions ~60%, and lower as it gets longer).

In the end, it depends on what kind of participants the study needs. The questions should be appropriate and not too many—enough to confirm key understanding, but short enough to avoid discouraging participation.

[Tanaphum Wichaita]

1.1.Why is a multidimensional like the HVI mentioned in the study more effective than conventional, single factor measures of socioeconomic status in revealing the complex contextual health inequities?

– Because HVI can have more factors then the socioeconomic status(SES) which have three main factors society, economic and status. HVI combines socioeconomic status, demographic, and healthcare accessibility factors that interact and shape daily living in complex ways, so it reveals contextual health inequities more clearly than only income/education.

1.2. And which factors do you choose to have in HVI in your country?

– Education (literacy, school completion)
– Income / poverty
– Population / demographics (e.g., % young children, birth-related risk context)
– Infrastructure(clean water, sanitation, garbage collection)
– Healthcare access (distance to primary care, coverage/availability)

2.Considering that the goal of spatial data analysis is to guide decision-making, how should policymakers utilize the specific, measurable components of the HVI to design targeted primary prevention and intervention strategies aimed at reducing CP risk and socioeconomic inequalities?

– Policymakers should use HVI maps to find the areas with high CP risk and high vulnerability, and focus help there. Then they should use the HVI factors to choose actions: support poor families with nutrition and travel money for ANC, give simple health education in low-literacy areas, improve water and sanitation where services are weak, expand ANC and safe delivery and referral services where access is low, and provide newborn follow-up and early screening and early treatment in areas with many young children.

[Tanaphum Wichaita]

Q1. Given regulations like GDPR (“right to be forgotten”), can a blockchain technology based on immutability (the inability to delete) ever be fully compliant with healthcare privacy laws?

– A fully immutable blockchain cannot be fully GDPR-compliant for healthcare, because GDPR may require erasing personal data, and blockchain data cannot be deleted once written. Also, hiding names isn’t enough: metadata can still let people re-identify a patient by tracking patterns. Even if you try to “hide” identity, blockchain isn’t truly private because the ledger is shared/replicated and transactions remain visible and traceable. The only practical approach is not storing patient data on-chain (store it off-chain and delete it there), but then it’s no longer the “full” blockchain concept.

Q2. Who do you think should control a patient’s digital health identity? The patient, the government, or a consortium of hospitals? What are the biggest risks of each model?
I think the patient should control their digital health identity, because it best supports privacy and consent.
But patients should should have secondary person whom is a trusted backup person (e.g., family) who can see limited emergency info if the patient is unconscious.

Risks of each model
Patient-controlled: can lose phone/key, not everyone has good digital access, hard to prove the ID matches the real person.
Government-controlled: risk of surveillance, one big breach affects many people, low trust may stop people sharing info or seeking care.
Hospital consortium-controlled: hospitals may control access unfairly, rules can differ between hospitals, disagreements and power issues can appear.

[Tanaphum Wichaita]

1. How does this study challenge the traditional use of weather-station data (temperature) in vector models?

– This study shows weather-station (ambient) temperature can misrepresent the temperatures mosquitoes actually experience, especially in sheltered habitats like storm drains. The authors compared microclimate sensors with NOAA ambient data and found storm drains are thermally insulated (warmer in cold periods, less variable), making the ambient–microclimate relationship non-linear and habitat-specific. When used in a mosquito population model, ambient temperature predicted strong winter declines, while microclimate temperature predicted much higher overwinter survival.

Also, even with perfect temperature inputs, transmission can still be misestimated if models assume all mosquitoes bite humans equally. Host choice matters: if mosquitoes feed more on animals or on protected humans, the effective human biting rate (and thus force of infection) drops

2. Only 8 out of 35 sensors produced complete data (27 lost due to theft and damage), what strategies could minimize sensor loss or damage if applied in ASEAN countries?

Make sensors hard to steal + hard to see: conceal them deeper (e.g., inside drains/behind grates), use plain casings, and secure with tamper-resistant mounts (epoxy, steel wire, clamps/bolts).

Choose safer locations: prioritize low-traffic, controlled-access sites (schools/clinics, gated areas, inside compounds) and avoid places where people frequently open covers or gather (markets, bus stops).

Work with local partners: coordinate with municipal drainage teams and community leaders/health volunteers; label devices clearly in local language and explain the purpose so they aren’t removed as “unknown objects.”

[Tanaphum Wichaita]

I considered one main intervention for the RSV prediction model: vaccination coverage for high-risk groups. RSV vaccination gives temporary protection that lowers the chance of infection, reduces severe disease, and prevents hospitalisations. The main high-risk groups are infants and young children, who have the highest risk of serious illness, and older adults (60 years and above), who are more likely to be hospitalised. Studies show vaccine efficacy in older adults is about 83.7% [1], and protection for infants lasts for around 5 months (CDC) after immunisation [2].

In the model, this can be added by creating a vaccinated class (V) in the SIRS structure. Parameters include the proportion of people vaccinated (coverage), how well the vaccine prevents infection (efficacy), and how long protection lasts before people return to being susceptible. An age-structured model is useful because the vaccines are only given to certain groups, not everyone.

References

[1] Wilson, E., Goswami, J., Baqui, A. H., et al. (2023). Efficacy and Safety of an mRNA-Based RSV PreF Vaccine in Older Adults. New England Journal of Medicine. https://www.nejm.org/doi/full/10.1056/NEJMoa2307079

[2] Centers for Disease Control and Prevention (CDC). (2025).
https://www.cdc.gov/rsv/vaccines/protect-infants.html

[Tanaphum Wichaita]

SIRS for RSV with Vaccination.

RSV does not produce lifelong sterilizing immunity; reinfections occur through life that we use SIRS model. We also include a vaccinated class V (vaccine-derived protection) and a post-infection immunity class R (natural immunity), both of which wane back to susceptible. I think I should have age group because RSV vaccines are only used in some groups.

Reference:
[1] van Boven, M., et al. (2020). Estimating Transmission Parameters for Respiratory Syncytial Virus. Journal of Infectious Diseases, 222(Suppl 7), S688–S695. (Article DOI: jiaa424; see supplementary).
https://pmc.ncbi.nlm.nih.gov/articles/instance/7751153/bin/jiaa424_suppl_supplementary_information.pdf

[2] Giannini, F., et al. (2024). Modelling respiratory syncytial virus age-specific risk of hospitalisation in term and preterm infants (open-access PMC11110433).
https://pmc.ncbi.nlm.nih.gov/articles/PMC11110433

[3] Centers for Disease Control and Prevention (CDC). (2025).
https://www.cdc.gov/rsv/vaccines/protect-infants.html

[Tanaphum Wichaita]

I am interested in exploring the application of coding and computational methods for parameter fitting and simulation in infectious disease models. I don’t focus on a single disease, my project will look at how different methods can be used to estimate key parameters (such as transmission rate or recovery rate) and simulate outbreak dynamics. A simple SEIR or SIR model can be used as the case study, either with real data (e.g. measles or RSV) or with synthetic data.maybe I will try a complex model like SIRS or SEIRS or age-group model ect.
Now, my work is on a malaria model which is quite complex. It includes both symptomatic and asymptomatic infections and also considers resistance.

[Tanaphum Wichaita]

1.Suicide numbers in Thailand had been going up again since 2011, with more than 3,600 deaths each year. Similarly, in 2005, the suicide rate was 6.34 per 100,000 people and dropped to 6.08 in 2014. The author thought this information could help find what factors made it drop and what made it rise again

2. Community support : The study found that provinces with stronger social connections, like in rural areas, tended to have lower suicide rates. People with close ties to neighbors and community have more emotional support and are less likely to feel alone, which can help protect against suicide.

3. Statistical modeling shows which factors have the biggest impact on suicide rates and where these impacts are strongest. It can also help the government predict how changes such as improving basic support might reduce suicide rates.

[Tanaphum Wichaita]

1)
Which apps or videos did you try with your headset?
– I tried the Google Cardboard app.

What did you enjoy most about the experience?
– Not much, to be honest. I’ve tried Oculus before, and it provides a much better VR experience. Also, my phone is larger than the Cardboard viewer, which made the experience less enjoyable.

Were there any parts that didn’t work well or could be improved? (e.g., comfort, visuals, interaction)
– Yes, the Cardboard viewer was too small for my phone. I couldn’t adjust the eye distance (interpupillary distance), and there was no way to focus the lenses properly, which made it uncomfortable and visually unclear.

2)
Did you experience stereoscopic vision? Why or why not? (Think about the lenses, image separation, and alignment.)
Yes, I did when I used the Oculus headset. It allows you to adjust the lenses to fit your eyes, which improves the 3D effect and overall experience.

Which psychological factors (e.g., sense of presence, immersion, realism) did you feel were active during your VR experience? Which ones were missing?
– While using the headset, I felt some sense of presence and realism, especially when the view responded to my head movements. However, after about 30 minutes, I started to feel motion sickness. The level of immersion was limited when using Google Cardboard due to the visual and comfort issues.

Was there any interaction technique you used in the app (e.g., gaze control, head-tilt navigation, magnetic trigger)? If not, what interaction methods would you have liked to see?
– There wasn’t much interaction in the Cardboard app. I would have liked to see gaze control or head-tilt navigation for a more interactive experience.

[Tanaphum Wichaita]

1) I uploaded some pictures and tried using the dashboard. It felt a bit different because the virtual space is new to me, and it’s not the same as sharing in class or on a discussion board.

2) I think virtual gallery spaces can be useful in academic settings, like for showing student projects or art in a fun and easy way. It lets people from different places see the work without being in the same room. But in professional settings, it can be harder to use because you might need to see small details or high-quality images, and that doesn’t always work well online. Also, some people may not be used to using virtual spaces.

3) My screen shots

[Tanaphum Wichaita]

Visualization and Experimentation

I try to put sensor in the freezer.

Challenges & Solutions
Some of the jumper cables are loose. Move the cables to the center, and when doing so, keep them as flat and compact as possible.I also had an issue connecting to the 5G Wi-Fi, so I switched to using 2.4G instead.

Ideas for Improvement & Application
I think it can be improved by adding a system so it can send alerts to email when the temperature changes; this would be useful for things like food or vaccine storage.

[Tanaphum Wichaita]

Article : IoT Based Glucose Monitoring System
Citation: Sakhare, P. J., & Holambe, R. S. (2023). IoT Based Glucose Monitoring System. Journal of Emerging Technologies and Innovative Research (JETIR), 10(5).
Link

This study introduces an IoT-enabled system designed to monitor the glucose levels of diabetic patients in real-time. The system integrates a glucose sensor with an Arduino UNO microcontroller, sending the glucose readings to a cloud platform using a Wi-Fi module. Patients and healthcare providers can access these readings through a mobile or web application interface. The system was designed to improve disease management by allowing continuous and remote monitoring, reducing the need for frequent clinic visits. It also sends alerts when glucose levels deviate from normal ranges. This approach highlights how IoT can enhance chronic disease management with real-time data collection and notification capabilities.

Objective
To provide a real-time, remote glucose monitoring solution for diabetic patients, enabling early detection of abnormal glucose levels and improving long-term disease management.

Sensors Used
The system uses a glucose sensor (glucose test strip interface) that measures blood sugar levels. The sensor is connected to an Arduino UNO, and data is transmitted using the Wi-Fi module to the ThingSpeak IoT platform for storage and visualization.

Challenges
Accurate glucose sensing hardware with microcontrollers and ensuring reliable data transmission over Wi-Fi were significant hurdles.

[Tanaphum Wichaita]

My Wrap-up about Cyber Health Care
Link: https://snipboard.io/mjpGU9.jpg

[Tanaphum Wichaita]

My Wrap-up I ilke topic “Data Disposal” in Webinar.

link : https://snipboard.io/3YjUZr.jpg

[Tanaphum Wichaita]

My Wrap-up!
link: https://snipboard.io/LD9wu2.jpg

[Tanaphum Wichaita]

My Wrap-up infographic! I learn a lot for this topic.

Link : https://snipboard.io/7BSGTJ.jpg

[Tanaphum Wichaita]

Thailand’s primary care system is based on Primary Care Units (PCUs), which are small local health centers providing basic healthcare. PCUs focus on preventive care, treating common illnesses, maternal and child health, elderly care, and disease screening. They work closely with community health workers (CHWs) and district hospitals to ensure patients receive the care they need. However, there are challenges such as a shortage of doctors in rural areas, heavy paperwork, and limited resources.

COVID-19 Pandemic : Thailand started checking travelers from China for signs of illness. This helped find and isolate cases quickly. Another important factor was community involvement. Health workers at PCUs and in villages educated people about washing hands, wearing masks, and keeping a safe distance, which helped stop the virus from spreading. PCUs also act a big role in testing people for COVID-19 and providing first aid. They worked closely with hospitals to make sure patients got proper care. The government also acted quickly by setting rules like lockdowns and travel bans to reduce the spread of the virus.

[Tanaphum Wichaita]

Thailand’s Universal Health Coverage (UHC) scheme provides healthcare to almost everyone in the country. Launched in 2002, it has made medical treatment affordable, improved health services, and reduced financial burdens on families. The system is funded by taxes and focuses on primary care to keep costs under control. The government strongly supports the program, making it a success.

There are three main health coverage systems in Thailand.
1.The National Health Security System (Gold Card) : covers most of the population, providing free or low-cost treatment at public hospitals.
2.The Social Security System (SSS) : for private-sector employees, offering care through contracted hospitals.
3.The Civil Service Welfare scheme provides the best benefits, covering government employees and their families with access to private hospitals and better medical services.

However, there are challenges. Healthcare costs are rising due to an aging population and more cases of chronic diseases. There are also differences between the three main health schemes, meaning some people get better benefits than others. Hospitals, especially in rural areas, do not have enough doctors and nurses, leading to long working hours and staff shortages. Many public hospitals are overcrowded, and some struggle with budget shortages. Private hospitals attract skilled workers, creating a gap in service quality between public and private healthcare.

To keep UHC strong, the government needs to secure more funding through increased health budgets or special taxes on products like alcohol and tobacco. More doctors and nurses should be trained and given better incentives to work in rural areas. The differences between health schemes should be reduced so that everyone gets fair treatment. Hospitals should improve management and invest in new technology to provide better care.

[Tanaphum Wichaita]

I choose page 340, point 2 : The P value for the null hypothesis is the probability that chance alone produced the observed association; for example, if the P value for the null hypothesis is 0.08, there is an 8 % probability that chance alone produced the association

many people mistakenly think the P-value shows the chance that “random chance” caused the results. For example, if the P-value is 0.08, they assume there’s an 8% chance the result happened randomly But The P-value only shows how well the data fits the assumptions of the test, including the idea that there’s no real effect. It doesn’t prove whether chance caused the result or not.

[Tanaphum Wichaita]

My name is Tanaphum Wichaita, and my nickname is Jumbo. I have a background in software engineering and currently work as a Research Software Engineer at the Mahidol Oxford Tropical Medicine Research Unit (MORU). My role involves writing code to support research and consulting with researchers. Sometimes, I write code to create tables and plots, including statistical summaries such as mean, median, max, and min etc.. I also have experience working with Bayesian models.

[Tanaphum Wichaita]

My organization has around 500 members and 5 units in other provinces, each with many departments. We handle private data, and some of it cannot be shared with others. We use our own server to store this information.

To protect our data, I think I should use Full Backups to create complete copies of all our data regularly and store them safely. This will make sure we don’t lose anything. For very important data, we should also use Data Replication, which copies the data in real time, so we can recover quickly if something goes wrong.

It’s also important to focus on People and Training, making sure everyone knows their role during a disaster and how to respond. Regular testing and training will help us stay prepared and improve our recovery process.

[Tanaphum Wichaita]

As a research software engineer, I work on developing and maintaining software to support research goals. My role includes organizing tasks, ensuring the software works correctly, and working with researchers to meet project needs.

I think I don’t follow all 12 steps of project management, I apply key principles like “Define the project”, “List the tasks”, “Plan the task order” and “Review Project”. I break down tasks into smaller steps, assign responsibilities, prioritize what to do first, and review the work.

[Tanaphum Wichaita]

For Patients:
they receive treatment and care faster because doctors and nurses can quickly access their medical information. There are no delays or errors since the system is always running, and patients avoid long waits caused by system problems.

For the Hospital:
high availability enables smoother operations as the system continues to work even during hardware or software issues. It prevents costly downtime, saves time on fixing data problems, and builds trust with patients by ensuring services are always available.

[Tanaphum Wichaita]

I have been a team member working with a good leader. In a project, the leader asked everyone what they could do and encouraged us to share ideas. We talked about which tools to use and shared what worked well or not based on our experience. The leader listened to everyone and made sure we felt involved, which kept us motivated.

[Tanaphum Wichaita]

I don’t have experienced a breach in my information system.i check my email will haveibeenpwned.com.my email have been pwned 8 times.i will share one of them

What happened?
In July 2016, the gaming news site DLH.net suffered a data breach which exposed 3.3M subscriber identities. Along with the keys used to redeem and activate games on the Steam platform, the breach also resulted in the exposure of email addresses, birth dates and salted MD5 password hashes.

How did it affect the system or users?
– many user hacked bacause Usernames and Password is breached.
– Steam keys,code of activating a game, was activated.

How to prevent it?
– Encrypt Sensitive Data : Encrypt Steam keys, username , password.
– Implement Access Controls : by using 2FA or MFA authentication .
– Limit Data Sharing: Only share necessary data with third parties and ensure it’s protected.

[Tanaphum Wichaita]

Your presentation is great. I like how you covered the legal about Myanmar Rules.I think you should add a section on reducing errors in System Quality. This would make the system more reliable, which is really important for detecting outbreaks. It would also help people trust the system more.

[Tanaphum Wichaita]

I start with something I enjoy, like a game, music, or movie. Begin by listening to what the characters or speakers are saying with subtitles on. When you see a word or phrase or sentence that I don’t understand, pause and look it up in a dictionary. Once I feel more familiar with the words, try listening without subtitles to challenge your comprehension.

I want to improve my listening skills so I can understand the story faster without needing to pause, making my experience smoother and more enjoyable.

[Tanaphum Wichaita]

Self-management : I think it strongest component of EQ.I think control and manage my emotions well. I am hard to upset.although when i am yougn i cay alot but present i hardly cry.i think maybe Let some emotions go make easy to control my emotions and make me easy to Fill up my Satisfaction with small thing.

Action Plan: I’ll use self-management to make my life easier by finding small motivations to push me forward in work, skills, and achievements.

Social awareness : i don’t means i am anti-social or don’t care the Social.I do care about others and sometimes understand others’ feelings and can empathize with them, but I don’t often think deeply about what they’re going through.At sometimes, I think too logically, which can make me feel less connected in some situations.

Action Plan: I’ll think on balancing logic with empathy. When analyzing situations, I’ll remind myself to consider the emotional side, not just the logical one, to help me connect better with others.

[Tanaphum Wichaita]

Thank you for your presentation. POWER2DM is an excellent system that empowers diabetes patients to take control of their health. By leveraging technology, it improves patient care, provides valuable data, and fosters collaboration between patients and doctors. The shared decision-making dashboard is especially helpful, enabling both patients and healthcare providers to create personalized treatment plans together. With sufficient data, we can even compare different treatment options to determine the best fit for each individual.

[Tanaphum Wichaita]

thank you for your presentation.I think this app is a useful tool for improving health knowledge in Myanmar, especially for people who don’t have easy access to doctors.It’s great that the app works without internet. This is especially helpful for people in areas where the internet is hard to access.

[Tanaphum Wichaita]

Hello Alex, thank you for reporting the Okta data breach. I agree with all the prevention steps you mentioned, like regular audits, encryption, and having a good incident response plan. These are all important to prevent future breaches.I think add access controls, only authorized personnel have access to sensitive data. Using role-based access would add more protection and help reduce the chance of unauthorized access.

[Tanaphum Wichaita]

Hello Cing Sian Dal, thank you for explaining the MediSecure data breach. I agree with all the prevention measures you mentioned. I would also add encrypting and hashing sensitive information, like ID numbers and medical records. This way, even if hackers get the data, they can’t easily read or use it. Along with the other measures, this would make the company’s security much stronger.

[Tanaphum Wichaita]

Hello Siriluk, Thank you for explaining the 9Near data breach in detail. I agree that improving security measures is very important to stop incidents like this. Adding hashing for things like ID card number would help protect the data, so even if a hacker gets it, they wouldn’t be able to see the real ID card numbers.

[Tanaphum Wichaita]

Hello all,My name is Tanaphum Wichaita. My nickname is Jumbo.

I am research software engineer from Mahidol Oxford Tropical Medicine Research Unit (MORU).
My work is about develope app for researcher, improve code, develope web.

[Author]

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