beoutbreakprepared_data: Individual-level data contributed from around the world

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

Individual-level data contributed from around the world

Description

Individual-level data contributed from around the world

Usage

beoutbreakprepared_data(quietly = TRUE)

Arguments

quietly

logical(1) defaults to TRUE. If FALSE, warnings generated during parsing will be displayed. These often relate to nonstandard date values that occur idiosyncratically.

Value

tidy data.frame of content

Citation

misckraemer2020epidemiological, author = nCoV-2019 Data Working Group, title = Epidemiological Data from the nCoV-2019 Outbreak: Early Descriptions from Publicly Available Data, howpublished = Accessed on yyyy-mm-dd from http://virological.org/t/epidemiological-data-from-the-ncov-2019-outbreak-early-descriptions-from-publicly-available-data/337, year = 2020

ARTICLEXu2020-wb, title = "Open access epidemiological data from the COVID-19 outbreak", author = "Xu, Bo and Kraemer, Moritz U G and Open COVID-19 Data Curation Group", journal = "The Lancet infectious diseases", volume = 20, number = 5, pages = "534", month = may, year = 2020, url = "http://dx.doi.org/10.1016/S1473-3099(20)30119-5", file = "All Papers/X/Xu et al. 2020 - Open access epidemiological data from the COVID-19 outbreak.pdf", language = "en", issn = "1473-3099, 1474-4457", pmid = "32087115", doi = "10.1016/S1473-3099(20)30119-5", pmc = "PMC7158984"

Note

This is individual level data, collected from diverse sources. Data may be messy and we have made limited attempts at clean up.

Source

https://github.com/beoutbreakprepared/nCoV2019

See Also

Other data-import: acaps_government_measures_data(), acaps_secondary_impact_data(), apple_mobility_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(), param_estimates_published(), 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()

Other case-tracking: align_to_baseline(), bulk_estimate_Rt(), combined_us_cases_data(), coronadatascraper_data(), covidtracker_data(), ecdc_data(), estimate_Rt(), jhu_data(), nytimes_county_data(), owid_data(), plot_epicurve(), test_and_trace_data(), usa_facts_data(), who_cases()

Other individual-cases: cov_glue_lineage_data(), cov_glue_newick_data()

Examples

res = beoutbreakprepared_data()
colnames(res)
head(res)

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