Aung Thura Htoo

Hello Wannisa, thank you for sharing your intervention of choice. I believe both interventions are relevant to your model of interest. Additionally, not only the efficacy of the treatment, but also the coverage and how well the patients adhere to standard treatments can also affect your model.

Hello Wannisa, yes, it could be better if seasonal patterns can be incorporated into the model. However, my model only accounts for temperature, so it can only show seasonal patterns of mosquito population dynamics affected by temperature.

Hello Cing, thank you for sharing your interesting model. You have used incubation period in your model, most of the time, latent period is used when model the change from the exposed to infectious stage. I believe latent period can be longer or shorter than incubation period depending on the nature of the infection. A person can be asymptomatic…[Read more]

Hello Alex, thank you for sharing your model of interest. Malaria has been one of the persistent infectious disease in the rural and hilly areas. It would be great to see how the model plays out. My question is since malaria is vector-borne disease, will you model the transmission link between human and vector?

Hello Wannisa, thank you for sharing your modeling topic. I find it quite interesting. By any chance, do you have any flow diagram of your transmission model? Would it be coupled between compartments as you consider co-infections with TB.

Hello Wannisa, thank you for your questions. The biting rate is also temperature dependent in the model. The function will be extracted from one of the references (Traoré et al., 2021). I will only need the value of temperature at that period to calculate the biting rate.

Since my model is the population growth model of Anopheles, my consideration for interventions would be ‘Indoor Residual Spraying’ (IRS). It involves spraying of mosquito resting places such as doors and ceilings with long-lasting (residual) insecticides. It aims to kill adult mosquito. So, in my compartmental model, it will target on adult…[Read more]

Hello Wannisa, thank you for sharing your research. I think it will be an interesting to model the growth of the patients with particular diseases. However, I believe that challenge would be estimating the parameters influencing the growth or decline of the patients. I hope you could find useful parameters for your model in the existing literature.

The model that I would like to explore is the temperature dependent ‘Population Growth Model’ and I have started adjusting my R codes for population growth using ‘desolve’ package. The overview of my model comes from Gizaw et al., 2025. The model has 7 compartments: Egg stage, four larval stage, pupal stage, and adult (female) state.
The key…[Read more]

Hello Tanaphum, thank you for sharing your project. It sounds like an interesting
Study. And I am also interested in how computational methods can be used in estimating parameters like transmission and recovery rate. The challenging issue would be estimating from different diseases as they have different rates.

Dear Ajan Pan, thank you for your comments. Yes, it is challenging to find the parameters needed for the model but I found some interesting articles that might provide most of the parameters. However, I still might need to make some assumptions for a few missing parameters.

I am interested in researching the growth of Anopheles mosquitoes at a village level. Anopheles mosquitoes are responsible for transmission of malaria by carrying malaria parasites such as Plasmodium falciparum and vivax.
I am trying to understand the impact of local temperature on the growth of Anopheles vector (egg, larva, pupae, and adult).…[Read more]

Dear Than Soe Oo, thank you for sharing your discussion. As you have mentioned, the limited number of study in the Thailand context is one of the main reason why this research was conducted. Additionally, I agree with you that spatial analysis can assist policy makers in identifying high risk areas and implementing targeted interventions as well…[Read more]

Dear Wannisa, thank you for sharing your discussion. I agree with you that statistical analysis such as regression models are powerful in their ability to identify the direction of the relationship between predictors and outcome variables. This in turn can be beneficial in deciding intervention measures.

Hello Thinzar, these are the packages that I needed to install on top of the provided codes.
install.packages(“maptools”, repos = “https://packagemanager.posit.co/cran/2023-10-13”)
library(maptools)
install.packages(“fmesher”)
install.packages(“lattice”)
library(lattice)
After installing these packages, it worked for me. (I am not sure that it…[Read more]

I have faced similar issues when running the code. So, the issue mostly is some of the library used in the codes are archived. So, I need to install those packages from elsewhere. I think there are two or three packages that cannot be installed easily. Mostly I solved it by searching those packages in CRAN repositories and tried to install it.

1. The author stated that there has been an increase in the number of suicides in Thailand, higher than 6 suicides per 100,000 inhabitants. Additionally, Thailand is different from other countries in terms of economic and social factors. Besides, there is a lack of study using macro-level data on this topic.

2. One potential risk factor is the…[Read more]

Hello Wannisa, thank you for sharing your insights on this week’s discussion. Yes, I agree with you that it requires both skills and knowledge in order to comprehend and analyze spatial data in relation to health and disorders. Additionally, like you mentioned, the availability of database and accessible software poses as significant barriers in…[Read more]

Hello, thank you for sharing your discussion. I believe that the availability of quality public health data that can be linked to specific locations are still limited in many countries around the world. Even though some software and advanced statistical tests have developed and been accessible, the availability will still be one of the most…[Read more]

1. There are many established public health studies on the comparison between time and person. However, the comparison between small-scale location study have not been incorporated as much as other components. The reasons are due to the availability and quality of data, lack of advanced software to visualize and analyze spatial data, the…[Read more]