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Non-identifiable data that leads you or make you identifiable, even if ID and/or name are not provided, is called “Data Re-identification”. Those pieces of information become your fingerprint.

For example, if you verify your phone number with your passport or ID, it becomes your fingerprint. Government or telecom can know who you are.

You can…[Read more]

Since quantitative survey reveals only how many people are using bed-nets or not, qualitative approaches will lead to find out the questions of why not using it, why using it. In this case, either in-depth interview or focus groups can be organized depending on the researcher’s conditions.

If researcher can manage individual interviews until…[Read more]

Ease of use and usefulness are not directly or indirectly proportional to each other. It means that if a solution is easier, it represents neither more useful or less useful. Both key variables are in a combination such as Ease + Useful => Usage

So, if a old technology is replaced with a new one (more easier to use) while its usefulness is…[Read more]

External variables apart from ease of use and perceived usefulness would be something that drives those two key variables (EOU, PU).
External variables could be very general, but it would be something that can adjust EOU and PU.

Digital literacy: So, if someone is not digitally friendly, EOU would be very low even though he finds it PU high.…[Read more]

Since the sole purpose of the experiment study is to test whether it works or not. The most important terms related to “works or not” are:

1. Efficacy – basically means “can (does) it work (under controlled conditions)?
for the first step of experiment, the research has to deal with testings under the ideal environment or conditions, e.g., new…[Read more]

Another potential is household composition. In association with age, in many cultures in ASEAN countries, young adults live with multi-generational families. So, this exposes to more contacts. When they get older, the move to a smaller composition of household with their small family, this exposes to less contacts within their house. Unless the…[Read more]

Infant Mortality Rate (IMR) is defined as the probability of a child born in a specific year or period dying before reaching the age of one, expressed per 1,000 live births (UNICEF, 2021).

IMR = (number of deaths under 1 year of age during a period / total number of live births during the same period) * 1,000

Main usefulness other than…[Read more]

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.