ABDILLAH FARKHAN

I personally argue that in addition to determining suitable intervention programs, we also need to classify the targets of intervention because the susceptible populations (and the populations at risk) for mpox disease are specific. Thus, we cannot make a blanket claim that everyone is at risk.

In the context of the mpox epidemic in Indonesia, we…[Read more]

Thank you Zarni

I exhibit an SEIR (Susceptible Exposed Infectious Recovered) model below for the spread of Monkeypox observed among the high-risk populations, using the presenting parameter derived from the paper presented by Lin et al (2023). Given the reproduction number R0 is 3.22, Gamma (recovery rate in humans): 1/21, Sigma (rate of progression from exposed…[Read more]

The choice of disease I would like to explore using mathematical modeling is the Monkeypox outbreak in Indonesia, an originally zoonotic infection transmitted from wild animals to humans but now occurring from humans to humans. Mpox has historically been a neglected zoonotic disease where mathematical models to explain its transmission dynamics…[Read more]

Sir Navin
I experienced the same situation when installing INLA for the first time. Then, I employed another alternative instruction mentioned by https://www.r-inla.org/. Here is the code:

install.packages(“INLA”,repos=c(getOption(“repos”),INLA=”https://inla.r-inla-download.org/R/stable”), dep=TRUE)

Thank you P’Boonyarat, I like the idea of studying places with more female family leaders, as it could possibly lower suicide rates. Understanding how women leading families can affect suicide rates highlights the need to consider gender roles.

The decision to explore the place-related variables must be undertaken carefully and considers multiple factors such as the feasibility of data collection, the feasibility of data analysis, and data confidentiality.
1. Though the place-related variables can explain the dynamic pattern of disease transmission, this is often challenging to be…[Read more]

I like that you raise a point about methodological complexity. Epidemiology in place variable, known as spatial epidemiology, contains a lot of complex statistical methods computed from either frequentism or Bayesianism (belief and probability) approach.

Spatial epidemiology allows us to display maps of disease risk that are leveraged for the…[Read more]

If the smartphone camera can accurately detect breathing and heart rates, those rates can be used as supplementary biometric markers for enhancing smartphone security.

If this is so, the smartphones might need to be equipped with specialized sensors or gadgets to accurately measure these physiological parameters, such as pulse oximeter sensor,…[Read more]

1) Many factors influence burnout syndrome in the workplace when it comes to jobs related to document records. Factors affecting burnout in the workplace may different between people, but I resume three critical aspects based on my point of view:
– Workload and staffing: this is an immediate cause as the workload must be in line with staffing…[Read more]

This is a very good paper and you’ve presented it very well. In my opinion, the capacity at the points of entry to detect and prevent Covid-19 could be a potential parameter. Another potential indicator could be the density of airports/seaports/land borders in a country to the passengers. However, those parameters may be disproportionate as each e…[Read more]

Hi Siriphak. Same to P’Boonyarat, I was joining this forum when it was almost finished. My apologize. But I catched up some points in this paper.

While most kinds of the literature suggest that submicroscopic malaria (defined as low-density Plasmodium) is detected in the migrant population through travel activities from an endemic area, this r…[Read more]

Hi Kawin, your dashboard is incredible. The controls menu(s) allow the reader to filter and visualize the data based on interest. My input is about the control menu to select the province which seems to take a lot of space in the dashboard. Using the drop-down list would save space, and you can add other charts in the remaining areas. Best.

Farkhan’s Dashboard

Hi guys, my dashboard is about Covid-19 in countries around the world using the Covid surveillance data. Please feel free to comment and share your idea to improve my dashboard appearance.

1. Running Sum and Comparison

2. Running Delta

3. Drill Down and Date

4. Pivot Table

5. Score Card

6. Time Series

7. Bar Chart

Hi, I like your chosen dashboard. It is also true to say that the given colour in the bar chart is prone to missleading information for the readers. But overall, the dashboard style is inspiring as WHO is able to demonstrate a dashboard with proportionate verbal, numerical, and art context. What I satisfy with this dashboard there’s a delicate b…[Read more]

The above picture illustrates a dashboard of Covid-19 situation in Jakarta, the capital of Indonesia that is a province. It is displayed from a website that contains any information about Covid-19, so the image above is one of the dashboards generated from that website. You can find this visualization at the following link:…[Read more]