Visualizing COVID Cases Worldwide with Map-first UI @ Coronasafe Network
Published: 2024-01-14 08:07:49

The beauty of map-first UIs is their ability to transcend the barriers of complex data tables and dense textual information. Instead, they offer a spatially organized visual summary. With a single glance, a person can understand patterns, trends, and critical points. In situations like the global pandemic, where every second count, this instant comprehension can be life-saving.

During the onset of the coronavirus pandemic, there was a deluge of data every day. As we were trying to build different tools to help battle the pandemic, even though there were International Representations of The Number of COVID cases, it was a pain to keep track of how many Raw numbers were intimidating, and often people struggled to contextualize the scale and spread of the virus. Recognizing this gap, our team at Coronasafe decided to venture into the realm of map-first UIs.


Our vision was clear – we wanted a live, interactive map that plotted COVID cases worldwide, offering users a real-time snapshot of the pandemic's status. The project, available on [GitHub](https://github.com/coronasafe/india-maps), aimed to make this crucial data more accessible and comprehensible for the masses.

React, with its component-based architecture, was our natural choice for building the UI. When combined with react-leaflet – a fantastic wrapper around the leaflet js library – the development process became smooth and efficient. And as highlighted earlier, the integration of React's virtual DOM made our map UI not just interactive but also incredibly fast, often outpacing native leaflet implementations.

#### **Experience the Impact**

Our application is live and hosted on [Coronasafe's Map Network](https://map.coronasafe.network/). As you navigate the map, you'll see how seamlessly the cases are plotted, the varying intensities indicating the severity in different regions. It's not just a map; it's a story of humanity's battle against a common foe.

The feedback from users has been overwhelmingly positive. Many have emphasized how the visual representation has made it easier for them to understand the pandemic's scope and progression. Schools and educational institutions have used it as a teaching aid, and even policymakers have referenced it to make informed decisions.

#### **Dive into React: Map-first App Walkthrough**

Before concluding, I'd like to highlight a useful resource for those interested in React-based map applications. On my blog, there's a concise walkthrough for creating a Map-first React App. This guide is perfect for anyone, from beginners to advanced developers, looking to integrate maps with React. It covers the essentials, from setup to advanced features, providing a practical approach to building interactive map interfaces.

Check out this [guide](https://dev.to/gigincg/build-your-map-with-react-3jda-temp-slug-6527284) to enhance your skills in crafting map-centric React applications.

#### **Final Thoughts**

In a world inundated with data, the challenge often lies in interpretation. Tools like map-first UIs bridge this gap, ensuring that information is not just shared but also understood. Our project at Coronasafe is a humble contribution to this endeavor, and we urge developers and data enthusiasts worldwide to embrace this powerful medium. After all, when data becomes knowledge, it equips us to make better decisions, foster understanding, and, in some cases, save lives.

Here's a quick [article](https://www.geospatialworld.net/blogs/kerala-uses-open-source-public-utility-to-fight-covid-19/) where the Coronasafe India Maps was covered, kind of a proud moment for me really :D

Cheers!