param_estimates_published: Published parameter estimates from the literature

In seandavi/sars2pack: COVID-19 data resources and analysis tools

Published parameter estimates from the literature

Description

Published estimates of epidemiological characteristics from both peer-reviewed and non-peer-reviewed resources, encoded by community members and approved by authors. For complete information on each estimate, see the actual dataset items.

Usage

param_estimates_published()

Value

a data.frame

Source

• https://github.com/midas-network/COVID-19/blob/master/parameter_estimates/2019_novel_coronavirus/estimates.csv

References

• https://midasnetwork.us/covid-19/

See Also

Other data-import: acaps_government_measures_data(), acaps_secondary_impact_data(), apple_mobility_data(), beoutbreakprepared_data(), cci_us_vaccine_data(), cdc_aggregated_projections(), cdc_excess_deaths(), cdc_social_vulnerability_index(), coronadatascraper_data(), coronanet_government_response_data(), cov_glue_lineage_data(), cov_glue_newick_data(), cov_glue_snp_lineage(), covidtracker_data(), descartes_mobility_data(), ecdc_data(), econ_tracker_consumer_spending, econ_tracker_employment, econ_tracker_unemp_data, economist_excess_deaths(), financial_times_excess_deaths(), google_mobility_data(), government_policy_timeline(), jhu_data(), jhu_us_data(), kff_icu_beds(), nytimes_county_data(), oecd_unemployment_data(), owid_data(), test_and_trace_data(), us_county_geo_details(), us_county_health_rankings(), us_healthcare_capacity(), us_hospital_details(), us_state_distancing_policy(), usa_facts_data(), who_cases()

Examples

library(dplyr)
params = param_estimates_published()
colnames(params)
head(params)
dplyr::glimpse(params)

summary(params)

if(require(DT) & interactive()) {
    datatable(params)
}

seandavi/sars2pack documentation built on May 13, 2022, 3:41 p.m.