nCov2019

nCov2019 provides aggregated COVID-19 case data and vaccine and therapeutic development information for epidemiological analysis and visualization in R.

Key Features:

• Data Aggregation: Collects stable COVID-19 case data from multiple authoritative sources, providing recent and historical records at country and province levels.
• Medical Progress Information: Reports global vaccine and therapeutic candidate data, including counts of 51 vaccines and 54 drugs under development as of January 14, 2021, and indicates pre-clinical status where available.
• R Language Interfaces: Exposes R functions for data retrieval, subsetting, and programmatic data operations.
• Visualization Methods: Supplies visualization routines to generate graphical representations of pandemic metrics and temporal patterns such as multiple peaks across regions.

Scientific Applications:

• Trend Analysis: Analyze temporal trends and regional case trajectories across countries and provinces.
• Epidemiological Surveillance: Monitor case counts and geographic spread for public-health analyses.
• Policy Support: Inform policy and intervention assessment through aggregated case and temporal data.
• Vaccine and Therapeutic Tracking: Track development status and counts of vaccine candidates and therapeutic drugs.
• Interdisciplinary Research: Provide dataset access for cross-disciplinary modeling and public-health research.

Methodology:

Systematic collection and aggregation of COVID-19 case data from multiple authoritative sources to country/province granularity; integration of these datasets with R functions for data retrieval and with visualization routines for graphical output.