While U.S. politicians differed widely on their opinions related to Covid-19 management, politicians in Africa struck a

Author : iyon
Publish Date : 2021-01-05 07:27:31


While U.S. politicians differed widely on their opinions related to Covid-19 management, politicians in Africa struck a

Reusing the React Instance Managers: We were building them again while switching between stacks. Rebuilding these managers requires a re-parse of JS, leading to slowdowns. You need to create and then cache in memory.

After the initial app launch for Android in 2016, we ran the same code on iOS. Code-sharing wasn’t very successful as some of the abstractions that we built for Android such as the listview was built on Android’s RecyclerView and proved difficult to implement on iOS.

“Africa’s response demonstrated African unity,” says Daniel Fagbuyi, MD, Obama administration public health/biodefense appointee and an emergency physician. “They were very cohesive,” he adds. “Leaders were working together, collaborating, and communicating. They were able to orchestrate a better response than even some of the high-powered and wealthy Western countries, including the United States.”

The ‘Home’ page being the first page did not present any chance to pre-run VMs unlike the rest of pages such as search, product, and videos. In instances such as Android App, the launch time was slower in React-Native as compared to the Native by almost 300–500ms (on Snapdragon 625). Therefore, to meet our metric goals, we kept our home page fully native.

A lot of teams get into conflicts between Native vs React-Native performance without setting targets. Our intent was to set targets and then see if React-Native can match it. The goal that we agreed internally was to go with React-Native, if we can maintain or do better than existing load time metrics and scroll FPS.

“Africa is well acquainted with risk communication because of Ebola. They were able to implement those risks and risk mitigation modalities in local languages, understandable to people,” Ali says.

This revision in the thought process and discussion around deciding targets helped the entire team focus on the correct success metrics. After a few iterations, we could achieve the targets and React-Native became an obvious choice.

It’s true that optimised native apps can outperform React-Native versions most times. However, considering the benefits such as OTA updates, we came up with the success metric for this experiment.

In mid-2017, when we built Flipkart’s Grocery experience on the app, we carefully planned our code structure and native dependencies to avoid code sharing issues. We could share about 95% of the code in this exercise and the development was seamless as the native modules were reliable and reusable. This is when we also wrote the reyclerlistview to ensure a consistent, high-performant, and cross-platform list view (including web).

With Hermes being launched, we are repeating the same exercise to find out if we can move homepage to React-Native. We understand Hermes reduces the initial cost of parsing JS which helps with an improved launch performance.

Every change in the app is profiled to analyse its impact on the core metrics. In our initial experiments with React-Native Android apps, the page load metrics were not as good as Native.

Making a React instance available before the user loads the page (pre-run it). You can create React context much before the user moves to a react-native page. For more details, click here.

Africa Center for Disease Control and Prevention (Africa CDC), led by Director John Nkengasong, collaborated with government officials from the African Union countries to develop the Africa Joint Continental Strategy for Covid-19 Outbreak and the African Union Covid-19 Response Fund.

Ali adds that joint partnership also created the African Medical Supplies Platform which helped ensure that medical equipment, such as personal protective equipment (PPE), could equitably be distributed across countries in the region.

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is used to explain predictions of your machine learning model. The explanations should help you to understand why the model behaves the way it does. If the model isn’t behaving as expected, there’s a good chance you did something wrong in the data preparation phase.



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