Nov 4, 2025

COVID-19 National Pandemic Dashboard

Due to confidentiality requirements, I am unable to share the full details of this project. Below is a high-level overview of my project and accomplishments.

Overview

Throughout this two-year initiative, I gained significant experience as a Project Lead and in Data Visualization, contributing to the development of this quick-response national project. I oversaw the development of this webapp, focusing on data dashboard deliverables and improving accessibility to critical information.

This project aimed to support scientists and researchers in disease control efforts. Initially launched for internal study purposes, the website was made publicly accessible in December 2020, attracting 170,000 visitors by December 2021. To further enhance data encryption and safeguard patient privacy, it was later taken offline for maintenance.

Problem Statement

During the early stages of the 2nd wave COVID-19 pandemic in Vietnam, the country was grappling with a limited number of cases, numbering around 100. Our approach to tracking individuals at the time involved manual processes using Excel spreadsheets. Although manageable, this method was time-consuming and limited in the information it provided.

Focus

Transforming public health data into actionable insights for decision-making. This project involved designing and prototyping a comprehensive dashboard for Vietnam's CDC during the COVID-19 pandemic. The dashboard integrated real-time data to help public health officials monitor case trends, allocate resources effectively, and communicate updates to the public.

Project Type

Product Management

Web Development

Data Analysis

Tools

JIRA

React

Node.js

Team

10 (Developers, Designers, Analysts)

Timeline

Jul 2020 - Mar 2021

Insight

Recognizing the importance of utilizing this data in the fight against COVID-19, I developed a plan to visualize the information collected by our field team. This effort aimed to enhance our understanding of the situation and inform more effective decision-making.

Insight

Recognizing the importance of utilizing this data in the fight against COVID-19, I developed a plan to visualize the information collected by our field team. This effort aimed to enhance our understanding of the situation and inform more effective decision-making.

Insight

Recognizing the importance of utilizing this data in the fight against COVID-19, I developed a plan to visualize the information collected by our field team. This effort aimed to enhance our understanding of the situation and inform more effective decision-making.

Click to see my work

Preview

Highlight | COVID-19 Transmission and Interconnection Graph

This visualization mapped COVID-19 transmission and interconnections among confirmed patients using anonymized data, enabling efficient cluster identification and tracing that played a critical role in pandemic response efforts. Built with amCharts to process over 110,000 data points, the dashboard accelerated decision-making speed by 150% for more than 10 key stakeholders in disease control initiatives.

Highlight | COVID-19 Transmission and Interconnection Graph

This visualization mapped COVID-19 transmission and interconnections among confirmed patients using anonymized data, enabling efficient cluster identification and tracing that played a critical role in pandemic response efforts. Built with amCharts to process over 110,000 data points, the dashboard accelerated decision-making speed by 150% for more than 10 key stakeholders in disease control initiatives.

Highlight | COVID-19 Transmission and Interconnection Graph

This visualization mapped COVID-19 transmission and interconnections among confirmed patients using anonymized data, enabling efficient cluster identification and tracing that played a critical role in pandemic response efforts. Built with amCharts to process over 110,000 data points, the dashboard accelerated decision-making speed by 150% for more than 10 key stakeholders in disease control initiatives.

UI Layout | Homepage Shortcuts

This main page delivers a comprehensive, interactive overview of critical pandemic data with a UI layout prioritized for clarity, rapid information access, and live updates—designed initially for scientists and researchers to identify emerging patterns with minimal explanation while remaining accessible to diverse stakeholders. The tool's strong analytics and visual deliverables empowered senior members to gain deeper insights into 2nd and 3rd wave transmission patterns, enabling more informed disease control decisions.

UI Layout | Homepage Shortcuts

This main page delivers a comprehensive, interactive overview of critical pandemic data with a UI layout prioritized for clarity, rapid information access, and live updates—designed initially for scientists and researchers to identify emerging patterns with minimal explanation while remaining accessible to diverse stakeholders. The tool's strong analytics and visual deliverables empowered senior members to gain deeper insights into 2nd and 3rd wave transmission patterns, enabling more informed disease control decisions.

UI Layout | Homepage Shortcuts

This main page delivers a comprehensive, interactive overview of critical pandemic data with a UI layout prioritized for clarity, rapid information access, and live updates—designed initially for scientists and researchers to identify emerging patterns with minimal explanation while remaining accessible to diverse stakeholders. The tool's strong analytics and visual deliverables empowered senior members to gain deeper insights into 2nd and 3rd wave transmission patterns, enabling more informed disease control decisions.

A Zoom-out | Regional to National Scale

This map visualizes COVID-19 spread across cities and provinces at regional and national scales, processing over 110,000 data points collected over three months through a collaborative solution developed with front-end, back-end, and data teams. The implementation leveraged amCharts for its robust library and React integration on the front end, while the back end featured API data encryption, anonymization, and Google Sheets API integration to ensure secure, seamless updates from the research team.

A Zoom-out | Regional to National Scale

This map visualizes COVID-19 spread across cities and provinces at regional and national scales, processing over 110,000 data points collected over three months through a collaborative solution developed with front-end, back-end, and data teams. The implementation leveraged amCharts for its robust library and React integration on the front end, while the back end featured API data encryption, anonymization, and Google Sheets API integration to ensure secure, seamless updates from the research team.

A Zoom-out | Regional to National Scale

This map visualizes COVID-19 spread across cities and provinces at regional and national scales, processing over 110,000 data points collected over three months through a collaborative solution developed with front-end, back-end, and data teams. The implementation leveraged amCharts for its robust library and React integration on the front end, while the back end featured API data encryption, anonymization, and Google Sheets API integration to ensure secure, seamless updates from the research team.

Summary

After three months of continuous improvisations, the web app solution was fully launched and led to a 150% improvement in decision-making speed for 10+ stakeholders involved in disease control initiatives, enabling more efficient and informed responses to the pandemic.

Understand Your Audience

Tailoring your design and solution to meet the specific needs of your target users—in this case, scientists and researchers—ensures that your product provides maximum value and usability in high-pressure environments.

Choose the right tech stack

At that time, selecting a robust tech stack, like amCharts for interactive visualizations and React for powerful integration, is essential for creating flexible, adaptable solutions that scale and adjust as requirements evolve in dynamic situations.

Ethics in Data Analysis

When handling sensitive census data—like civilian information—data encryption must be a top priority to safeguard privacy, ensure compliance with public health standards, and maintain user trust.

Heading Out?

Appreciate you stopping by! Don't be a stranger, let's stay in touch.

Heading Out?

Appreciate you stopping by! Don't be a stranger, let's stay in touch.

Heading Out?

Appreciate you stopping by! Don't be a stranger, let's stay in touch.