Retrieve up-to-date epidemiological data from outbreak.info according to user specifications
getEpiData(
name = NULL,
location_id = NULL,
wb_region = NULL,
country_name = NULL,
state_name = NULL,
admin_level = NULL,
date = NULL,
mostRecent = NULL,
fields = NULL,
sort = NULL,
size = 1000
)vector of location names
vector of ISO3 code representing locations
World Bank region name(s)
country name(s)
state name(s)
an integer representing an administrative level (World Bank regions = -1, countries = 0, states/provinces = 1, metropolitan areas = 1.5, counties = 2)
date(s) (YYYY-MM-DD)
T/F
vector of API fields to include in results
parameter to sort results by
size
dataframe
getEpiData(name="United States of America", date="2020-07-01")
#> CBSA FIPS ID State X_id X_score admin1 admin2
#> 1 NA 60 USA_None_None NA USA_None_None2020-07-01 15.38026 None None
#> admin_level confirmed confirmed_doublingRate confirmed_numIncrease
#> 1 0 2698251 19.85561 49346
#> confirmed_numIncrease_per_100k confirmed_pctIncrease confirmed_per_100k
#> 1 14.80814 1.828814 809.7127
#> confirmed_per_100k_breaks
#> 1 0.000, 1651.202, 4808.428, 8464.335, 12811.497, 18938.992, 26685.491, 36965.391, 48385.428, 60355.457
#> confirmed_rolling confirmed_rolling_14days_ago
#> 1 44737 27441.86
#> confirmed_rolling_14days_ago_diff
#> 1 17295.14
#> confirmed_rolling_14days_ago_diff_breaks
#> 1 -554867.125, -352976.578, -146485.789, -57172.500, -19861.214, -4361.357, 12467.072, 67671.713, 283851.641, 488390.719, 488391.719, 488392.719
#> confirmed_rolling_14days_ago_diff_per_100k
#> 1 5.190064
#> confirmed_rolling_14days_ago_diff_per_100k_breaks
#> 1 -804.5878, -382.0687, -163.3670, -64.4442, -15.6984, 16.3711, 74.4580, 181.0563, 390.5299, 751.8091
#> confirmed_rolling_14days_ago_per_100k
#> 1 8.234971
#> confirmed_rolling_breaks
#> 1 -42703.00, 4038.50, 14293.50, 30922.29, 53748.00, 92002.50, 156563.50, 262548.43, 469719.56, 806999.56
#> confirmed_rolling_per_100k
#> 1 13.42504
#> confirmed_rolling_per_100k_breaks
#> 1 -65.4454, 8.5661, 26.4172, 55.1133, 98.5968, 164.9721, 261.0829, 393.6608, 630.4254, 1177.3400
#> country_name date dead dead_doublingRate dead_numIncrease
#> 1 United States of America 2020-07-01 128117 -25.50985 701
#> dead_numIncrease_per_100k dead_pctIncrease dead_per_100k
#> 1 0.2103617 0.5471561 38.44637
#> dead_per_100k_breaks
#> 1 0.0000, 16.5598, 49.0523, 89.5444, 137.1951, 194.8193, 262.0329, 354.8344, 498.3315, 657.7642
#> dead_rolling dead_rolling_14days_ago dead_rolling_14days_ago_diff
#> 1 517.5714 757.1429 -239.5714
#> dead_rolling_14days_ago_diff_breaks
#> 1 -2940.1428, -1983.3572, -947.7857, -417.5000, -158.9286, -42.0000, 60.7857, 310.2857, 1031.0714, 1962.4286, 1963.4286, 1964.4286
#> dead_rolling_14days_ago_diff_per_100k
#> 1 -0.07189251
#> dead_rolling_14days_ago_diff_per_100k_breaks
#> 1 -8.7659, -5.3886, -1.5704, -0.5924, -0.2416, -0.0583, 0.1544, 0.8354, 5.0886, 8.2600, 9.2600, 10.2600
#> dead_rolling_14days_ago_per_100k
#> 1 0.2272095
#> dead_rolling_breaks
#> 1 -232.1429, 41.9286, 148.2857, 328.0714, 566.8571, 889.4286, 1409.6429, 2109.7142, 2935.0714, 4190.0000
#> dead_rolling_per_100k
#> 1 0.155317
#> dead_rolling_per_100k_breaks
#> 1 -0.9656, 0.0660, 0.2029, 0.4017, 0.6674, 0.9959, 1.4422, 2.0970, 5.2785, 8.9378
#> iso3 lat location_id long mostRecent name
#> 1 USA -14.271 USA -170.132 FALSE United States of America
#> num_subnational population wb_region
#> 1 0 333235609 North America
#> geometry.coordinates
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#> geometry.type
#> 1 MultiPolygon