Changelog

Source: NEWS.md

nccovid 0.0.15

• Ensure that smoothing of the daily rates continues for several years (into 2025)

nccovid 0.0.14

• Fixed holidays through July 4th of 2022
• Fixed a column ordering issue with get_covid_county_demographics
• Fixed error introduced in get_google_mobility2

nccovid 0.0.13

• Speed up google mobility function calls

nccovid 0.0.8

• Fix Veteran’s Day reporting lag
• Added a basic herd immunity calculation function in the form of hit

nccovid 0.0.7

• Updated get_covid_state to reflect the reporting irregularity around September 4th.
• Updated functions to ensure correct field names were used (hospitalization details)
• Updated functions around converting growth rates to reproduction numbers

nccovid 0.0.6

• Added calculate_community_immunity in order to estimate the level of community immunity

nccovid 0.0.4

• Added get_cdc_vax and get_cdc_detail to more easily retrieve information from the CDC on the spread of SARS-CoV-2 by county

nccovid 0.0.3

• Added a smoother for reporting delays for Alamance and Guilford counties between 1 May and 21 May for the adjusted case metrics.
• pull_vaccine_census now available to pull vaccination rates at the Census Tract

nccovid 0.0.2

• Added logic to account for data dumps from North Carolina with an optional argument in get_covid_state called report_adj with a default of FALSE to account for two points
  • 2020-09-25 when all antigen tests were added
  • 2020-11-13/2020-11-14 when data collection times changed and only 10 hours of data were collect.
• Added get_hospitalizations to retrieve hospitalisation data
• Added North Carolina Healthcare Preparation Coalitions as a data set The current method just imputes the previous days value for September for the death and case incidence on 25 September. For the November reporting change the 13/14 days are averaged across the two days. This should smooth out any reporting irregularity. This is important for calculating R or any other metrics that rely on daily data.