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Thank you for sharing a thorough explanation. Any difference between the residual effects and the residual half-life of IRS?

Thank you for sharing the HIV prediction model. If the duration of ART means adherence, it is a crucial factor for effective treatment, highly dependent on the patient’s consistent use of medication, which also reflects on the success of this intervention.

The intervention considered for my model is a COVID-19 vaccination campaign. During the pre-coup and post-coup periods, the only country that offers free access to the vaccine is India (manufactured CoviShield), despite having financial resources. Using the AstraZeneca (CoviShield) vaccine began in late January 2021, targeting health workers and…[Read more]

Thank you for sharing a very insightful discussion. RSV dynamics and vaccination strategies are highly age-dependent, which is more realistic.

Thank you for sharing the SIRV framework, which is a perfect way to model the impact of vaccination rate. Can vaccinated individuals be separated from the Susceptible compartment because they become infected?

Thank you for bringing up an excellent point, Aung. My model’s parameter table incorrectly uses the incubation period to represent the transition rate (σ), but as you correctly pointed out, this is the latent period.

COVID-19 is a highly contagious respiratory illness. According to WHO, key characteristics include:
Transmission: Primarily air-borne via respiratory droplets or aerosols
Pathogenicity: Varies with age. Older individuals and those with underlying health conditions are at higher risk.
Symptoms: Includes fever, cough, and fatigue
Control…[Read more]

Thank you, Ajan. I am considering scoping it down into, and could I change it to:

“How did the 2021 political instability of Myanmar affect COVID-19 mortality rates?”

This sounds interesting, Alex. CVD receives insufficient attention within public health. Assessing the impact of intervention is expected to be complex, involving many factors like quantifying lifestyle changes. I am looking forward to seeing your answers to these research questions.

Hi Tanaphu, thank you for sharing your interesting project. In computing methods, what kind of tools (e.g., R) are actually used to find the answers (estimate key parameters)?

The disease I am personally familiar with would be Covid-19. I am interested in exploring the disease transmission and the impacts after the 2021 coup in Myanmar (country-level)

My research question would be: How do non-health factors (political instability, humanitarian aid blockage, etc.) affect the spread of virus and overall public health…[Read more]

Thank you for sharing your discussion, Than. My curiosity was piqued about whether the finding would differ from other kinds of research designs, such as longitudinal analysis, cohort studies, and time-series analysis, when you mentioned it’s a cross-sectional analysis. Regarding spatial analysis, I am not sure whether adding location data as an…[Read more]

As you discussed, I believe that divorce can bring serious mental complications in places where people consider marriage as a higher cultural value and societal expectation, as the paper mentioned. Statistical modeling, to be specific, two models of regression analysis are used for prediction and inference, by the relationship between the…[Read more]

I love the fact that you mentioned people in rural areas tend to have lower suicide rates due to their relationship (community support). Although such a strong social connection is not a risk factor, I agree that a lack of social connection would impose the risk.

Thank you for your comment, Than. Data-driven public health responses without ecological fallacy are an effective solution.

Thank you for sharing your valuable insight about how GIS / spatial clustering methods would help, Wannisa.

Q1. Why was the author interested in investigating the suicide problem in Thailand during that time?

The fact that the number of suicides has consistently ranged between 3,600 and 4,000 annually would draw noticeable attention to normal people. The author, including scholars, was interested in investigating the factors influencing the suicide…[Read more]

Thank you for sharing your discussion. Regarding databases, to be more specific, historically, they lacked the functions of databases that offer storage, management, integrity, security, data retrieval, etc, for performing spatial epidemiological research. The lack of such technology support acted as a barrier to the continuation of further…[Read more]

Thank you for sharing your discussion. I can certainly see that the place where we live and work can be regarded as a potential disease determinant. Even office jobs are exposed to eye strain, obesity, cardiovascular disease, back and neck pain, stress, burnout, forward head posture, etc.

Q1 (a). What are possible reasons locations in epidemiological research have not been incorporated as much as other components in epidemiological research?

Answer: The main reason could be the difficulties in correlating with places/locations in epidemiological research because chorographia or geography was not a part of epidemiological…[Read more]