Wannisa Wongkamchan

Thank you for your detailed and clearly explained how IRS affects adult mosquitoes and the other compartments. I think the model may adding variables for season and weather, which can affect the mosquito population too.

Thank you for your comment. I don’t have a flow diagram yet. I plan to include ART therapy and co-infections, because they can affect patient numbers and hospital resources.

Hello Thinzar , thanks for sharing. Using the COVID-19 case with vaccination is a good example, because the model can show how vaccines change the number of people who get sick. I think we may also add one more variable for disease severity, which will reflect the vaccine effectiveness more clearly.

I considered two interventions for the HIV prediction model: increasing antiretroviral therapy (ART) coverage and expanding referral networks.
1. ART is a highly effective treatment for reducing viral load, mortality, and complications, including co-infections, which reduces the need for complex treatment.
2. Expanding referral networks,…[Read more]

Thank you for your advice ka Arjan. I will research the structure of the HIV model and its parameters to better understand them.

Thank you Aung, regarding the parameter values, I mainly focused on using data collected from the hospital’s HIS, to identify parameters that are both practical to obtain and not overly complex, while still enabling accurate predictions.

Hello Aung, thanks for sharing the overview of the model. I have a question about the biting rate, how is this data measured and collected?

From Discussion Week 1, my topic is about forecasting the number of HIV patients in a super tertiary hospital. This is not mainly focused on community transmission. I plan to use a disease transmission dynamic model to simulate the number of HIV patients over 3–5 years, as well as the peak load, in order to support hospital resource planning and p…[Read more]

Hello Tanaphum, thank you for sharing. Your work on the malaria model sounds interesting. I think if synthetic data can give results similar to real data, it will be very useful for developing disease models.

Hello Alex, thank you for sharing. I am also interested in the effects of public health interventions. However, I think that getting reliable data on medication adherence and lifestyle changes is challenging and may not always be accurate, since these measures often depend on self-reporting (unless people use wearable devices). Mathematical…[Read more]

Normally, in my work, I report patient statistics only as counts and percentages of each disease over time. I also use simple predictions of ER patients during long holidays, such as New Year and Songkran, by using Excel.

From the latest presentation to hospital executive committee, I present that the top ten outpatient diseases decreased after…[Read more]

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]