Methodology: COVID-19 Time Series Visualization App

The creation of the COVID-19 time series visualization app involves the following key steps:

1. Data Collection: Collect data from John Hopkins University COVID-19 dataset and other reliable sources for estimated infected, contacts, and symptoms.
2. Data Processing: Clean and process the collected data to ensure accuracy and consistency.
3. ArcGIS Online Setup: Create maps, layers, and applications using ArcGIS Online to handle and visualize the incoming data.
4. Integration with Time Series Visualization: Utilize the time and date tab functionalities within ArcGIS Online to visualize COVID-19 cases and related statuses over time.
5. User Interface Design: Design a user-friendly interface with intuitive features for map interaction, data filtering, and information accessibility.
6. Accessibility and Responsiveness: Ensure the app functions seamlessly across various devices and screen sizes.
7. Testing and Validation: Rigorous testing to verify data accuracy, functionality, and performance. Incorporate user feedback for improvements.
8. Deployment and Maintenance: Deploy the app for public use, regularly updating data and addressing bugs or adding new features based on evolving needs.

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