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Thank you for sharing interesting topics, Thinzar. I believe that WHO building blocks are different dimension from evaluating and standardizing. In my opinion, for community in conflict settings, the building blocks must be agile and flexible, modular (easy to integrate and disintegrate, easy to build and deconstruct, easy to move from one place…[Read more]

Hello Wannisa, Thank you for sharing the interesting topics. Basic survey data such as age, sex, BMI, WC, BP are useful when advanced data (clinical data) are not available. However, basic survey data are one time data, cross-sectional data. This limits physiological judgment.
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Heterogeneous datasets would definitely introduce variations such as…[Read more]

It makes more sense to study with or without digital health reporting process as for supply side instead of before and after digital health intervention. Such evaluations will clarify the effectiveness of the intervention.
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Introducing a control group would help confirm whether the improvements in BMI and BP were truly caused by the health…[Read more]

This is new to me. Thanks for sharing new knowledge and insight. Physical presence when giving consent should be standard. Even if participants are in labor, researchers should humbly go to their workplace (if allowed) or wait outside, and explain in person, not forcing them to get the signature at once. This should be a standard way.
To the…[Read more]

1. What types of personal information are acceptable to collect to improve the performance and efficiency of digital contact-tracing apps? (For example: location data, Bluetooth proximity data, health status, or symptom reports.)

For the case of contact-tracing apps, no kind of personal information is acceptable to collect. If it is solely…[Read more]

Q1. Why is a multidimensional approach, such as the HVI mentioned in the study, more effective than conventional, single-factor measures of socioeconomic status in revealing the complex contextual health inequities?
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A single factor concludes that one factor is associated with the effect. In reality, the effect is practically influenced by a…[Read more]

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]