Overview

Malaysia has transitioned from the Covid-19 pandemic to endemic phase. The main criterion for this transition is the high vaccination coverage and the robust healthcare system. Nevertheless, even in endemicity, the virus still remains within the community. Furthermore, there are threats of new mutated variant strain the could cause resurgence of cases.

Therefore, Keep CoviDown is created to visualize important information by state to keep Malaysians informed.

Research Questions

1. What is the distribution of Covid-19 confirmed case, mortality case,vaccination coverage in all states of Malaysia?

2. What brand of vaccine is used in each state?

3. What is the relationship between vaccination coverage and the ICU admission?

4. What is the relationship between vaccination coverage and the mortality rate?

Data Science Methodology

For this study, we gathered the the cumulative number of confirmed case, mortality case, and vaccination coverage of each state. Then we compare each states vaccination coverage, to analyze the mortality rate and Covid-19 ICU admission.

Findings

From the analysis, we found there is negative correlation between Covid-19 ICU Admissions and Percentage of Vaccinated Population. There is also negative correlation between Covid-19 Mortality Rates and Percentage of Vaccinated Population. This is evidence that more vaccinated population significantly reduce the severity of Covid-19 medical outcomes in admission of ICU and mortality. Hence, this shows that the vaccination program is successful in Malaysia.

Beneficiaries - The Malaysian Public - The Malaysian Government - The Vaccine Manufacturers

Project Experience, Reference & Links

This is our first experience developing a R Shiny app.
- It is a challenging project, but we have greatly benefited from this project.
- We have gained more R programming skills.
- We have experienced going through each stage of the data science process. (It is high iterative process).
- Develop a data product with the public interest in mind.
- Learnt to work together as a team.

Reference

• https://github.com/MoH-Malaysia/covid19-public
• https://covidnow.moh.gov.my/

Have A Look

• Shiny App: https://sunshine7001.shinyapps.io/covid-19/
  
• GitHub : https://github.com/ChengXiuyi/COVID_19_WQD7001
  

Discuss the current issues and challenges facing Data Science Today

One challenge we face is the breach of data integrity. As data is now considered ‘new oil’ and there are instances of data leaks of personal information in Malaysia to database market pace forum. This highlights the potential insider misuse and weak cybersecurity infrastructure in Malaysia. This may cause the rise in identity fraud against Malaysian citizens. However, the government lack of attentiveness and urgency to address the issue shows their lack of understanding of the consequence of personal data leaks.


Another current issues and challenges faced today is the lack of data science skills in the workforce to keep up with the ever-evolving technology. As training requires time, effort, determination, and financial support it is demanding to keep up with the trend by continuously upskill.