Wannisa Wongkamchan

Thank you for your discussion, Your point about the study’s limitation in spatial analysis is very insightful. While the regression model identifies risk factors well, it doesn’t fully explore geographical patterns. Adding GIS or spatial clustering methods in future research would help better understand why northern provinces have such high…[Read more]

Thank you for these insights. I agree that alcohol significantly increases suicide risk because it impairs judgment and decision-making. I’m surprised that economic hardship doesn’t increase suicide rates as expected. This shows how important statistical analysis is for understanding complex social issues properly.

Hi Thinzar, Have you updated your R program to the latest version? If not, try updating first.

I’m having trouble installing the R-INLA package, whether I’m using the R code from the Introduction to R-INLA Activities, friends comments in the Course Forum, or the website https://www.r-inla.org/download-install.
I’m still getting an error message:

cp: unknown option — )
ERROR: installing binary package failed

So I asked ChatGPT and used…[Read more]

Hello Aung, thank you for sharing, I agree that location really shapes people health. It’s clear that environmental factors, like pollution in workplaces, or natural surroundings play a big role in disease risk.

1. Descriptive epidemiology focuses on the triad of people, place, and time. However, in the past, most epidemiology research focused more on individual factors like age, gender, genetics, and behavior, or on how diseases changed over time, rather than historically focusing on place or location. A significant reason for this lack of interest in…[Read more]

Hi, Thinzar. Your dashboard shows a clear summary of total patients, with numbers for male and female. This helps users understand the data easily. It uses bar charts and pivot tables to show patient numbers by month, township, and clinic. This makes it easy to compare the data. I think it would be good to add an option to choose a date range for…[Read more]

I would like to share the COVID–19 Pandemic Surveillance Dashboard. This dashboard helps decision makers, as well as medical and public health personnel and researchers, by showing clear and updated COVID-19 data such as confirmed, recovered, and death cases by date, country, and continent. It includes filters for selecting a country, year, and d…[Read more]

Hello, everyone. Here is my assignment for this week.

Looker Studio link: https://lookerstudio.google.com/s/lXjQf29F26o

Hello, everyone. I wanted to share my data visualizations for week3 assignment, which are in the PDF below.
https://drive.google.com/file/d/1uELdMFcXQ4ckYpiXU-Ag0TEQibfUcmCs/view?usp=sharing

The interactive version is available via this Looker Studio link:

Yes, teacher. I completed getting the API training data from the first connection (2 years of Malaria data and the Provincial Thailand population dataset) for the VDO course using the API. But, for the Week 2 assignment, I can’t connect to the API data sources for the COVID-19 Surveillance data and the Population by country due to the KPIBees…[Read more]

I would like to present the Tuberculosis Epidemiological Profile Dashboard by WHO https://data.who.int/dashboards/tuberculosis?m49=764 Overall, this dashboard is well-designed and covers all important aspects related to TB.

What I like:
• The dashboard is placed on one single webpage. The information is well organized in steps. I can scroll d…[Read more]

I have Learned about the law, health professions and telemedicine – including the pros, cons and ethical and legal issues.

I have learned that GDPR and PDPA share similar approaches in safeguarding health data in research and healthcare institutions. Organizations must follow legal principles, implement strict security measures, and ensure compliance through policies and protocols.

My Infographic Wrap-Up! https://snipboard.io/6lCZis.jpg

The Code of Ethics for Health Informatics ensures patient data is handled with privacy, security, and fairness. Ethical rules guide data use, management, and research to protect individuals. Violating rules, like sharing user login, risks data breaches and legal consequences. Reporting data breaches is important to maintain accountability.

This…[Read more]

Data quality is very important in AI healthcare because bad data can lead to wrong decisions. Your infographic explains this well!

It’s great that you highlighted responsibility in AI use! I think both AI creators and users must share responsibility, with clear laws in place.