chanapong

TSS is the most common system I encounter in daily life. Whenever I buy something at a convenience store or on an e-commerce application, the data such as which products , payment method, delivery method and address is all data input to the company to be processed. Then the processing checks the available stocks whether they can provide it or…[Read more]

Your dashboard is easily for perception. Using different color helps reader to analyze visualized data more easily. In addition, this dashboard provides all details about COVID-19 situation. So, you can select the interesting data you want to use further.

Please visit my final dashboard.

My dashboard shows overall COVID-19 situation around the world. We can see more details such as confirmed case, recovered case and death by clicking on the automatically changing visualization you want to see. It can help readers to see which data they want easily and decide on how to use these data in many…[Read more]

https://app.powerbi.com/view?r=eyJrIjoiNjM3OGRiMTctZWU2NS00YjBmLWFmNjQtNzY5MDRlZTZmYWNkIiwidCI6ImE1NjYxYjU3LTQ3ZDItNDNlNC04MGFhLWYxNzcwMTZhNTJmYiIsImMiOjEwfQ%3D%3D

The map can help people generally understand variables in each country or continent. Funnel show more details of interesting variables. In addition, the tornado can show two variables…[Read more]

https://app.powerbi.com/view?r=eyJrIjoiOGU4OTU3ZmItNTk2MS00NDg1LWE5ZTMtZThjYzFjYjA2MzBjIiwidCI6ImE1NjYxYjU3LTQ3ZDItNDNlNC04MGFhLWYxNzcwMTZhNTJmYiIsImMiOjEwfQ%3D%3D

Please view my dashboard.
shorturl.at/wERX7
On the first page, I would like to show overall situation of COVID-19 including confirmed case , recovered case and death case using area chart with trend line and sunburst categorizing by continent. The second page shows more details sorting by continent by using stacked column chart, 100% stacked…[Read more]

Please view my Power BI table and matrix via this link.
https://app.powerbi.com/view?r=eyJrIjoiOTdhMTBjNDMtMDI4YS00MzM5LThkZWMtYzE5YWFmMmEzM2JkIiwidCI6ImE1NjYxYjU3LTQ3ZDItNDNlNC04MGFhLWYxNzcwMTZhNTJmYiIsImMiOjEwfQ%3D%3D

The table and matrix make the data to be more easily comparable. Slicer works like the filter that we can sort the specific data…[Read more]

I would like to share this dashboard.
https://www.zoho.com/covid/
It provides much information including the confirmed case, new case, active case, death rate, recover rate, and the testing rate in different ways. It contains GIS maps, doughnut charts, histograms,and line charts. We can choose to view each country’s data. It also contains a…[Read more]

Thank you for your question.
First question.
I think using an integrated program like holistic health care may have more impact to decrease falling rates. We should not only target the older people but also their family members. Apart from teaching older people how to prevent falling themselves, a fall prevention program should be provided to…[Read more]

In this study, the authors do not discuss and study dependent factors of falling. In my opinion, I think that we can study many factors related to fall. like underlying disease and housing environment, then add more layers in GIS maps in further study.

Hi Khun Ameen.Thank you for your comment.

Base on my limited knowledge of the US healthcare system, I think that every falling people get an evaluation for their injury when they call for EMS. Someone with a minor injury may have advice on how to take care of themselves. But someone with major injury may receive transportation to the hospital by…[Read more]

Hi Khun Tullaya.Thank you for your comment.
I will add a cause of the falling event to this study. Therefore, we can identify the leading cause and plan the fall prevention strategy accordingly. In addition, morbidity and mortality rates from falls should be studied to show how falls can impact the older adult’s quality of life.

Thank you for your answer

Some of hotspot areas are shown at the combined housing and informal household areas.So,I have some curiosity about relation between naccommadation type and sites of high TB transmission risk.

From one of the GIS maps, the result shows that there is a high density of traffic collisions around the bus terminals. Why does it happen? Is there an association between RTI and bus terminals?

https://drive.google.com/file/d/17qhyGVWO5ukgfL0nPPZmKFYf0ePXtRZ6/view?usp=sharing

The second paper is really fascinating to me. Using CO2 (RAV) and GIS location to predict the tuberculosis transmission area is a novel method. The statistical method in this paper is simple and easy to understand. The authors also provide GIS maps using satellite images as a background with multiple layers. We can use this research idea for…[Read more]

Both selected papers are about tuberculosis which is also a major concern disease in Thailand. In terms of quality, I think that the second one, Spatiotemporal analysis of drug-resistant TB patients registered in selected districts of Karnataka, South India: a cross-sectional study, is better. Not only it uses timelier data to analyze and provide…[Read more]

The first paper,Geographical distribution of at fault drivers involved in fatal traffic collisions in Tehran, Iran, is more interesting to me. The authors use recent data and compare it with different time series. It also provides many GIS maps that can be used as an example for us to study. In addition, its impact, to lower the RTI, is clearly…[Read more]