_id	Variable	Example	Description
1	EVENT_NAME	EbolaDRC_2018, nCoV_2019	A descriptive name of the infectious disease event
2	SOURCE	Democratic Republic of the Congo MOH Communique de Presse, HK CHP Severe Respiratory Disease associated with a Novel Infectious Agent, Metabiota Composite Source, WHO DON	Name of the reporting source or entity
3	DATE_LOW	2020-01-25	Lowest date reported incidence, when date range in original report is ambiguous, this value is inferred to be the day after the DATE_HIGH from the previous report.
4	DATE_HIGH	2020-01-25	Highest date of reported incidence; when date range in original report is ambiguous, this value is inferred to be DATE_REPORT
5	DATE_REPORT	2020-01-25	Date of report publication; when not explicitly stated, the DATE_REPORT is inferred from website source code or report access date
6	DATE_TYPE	Authority notification, Clinical care sought, Lab test, Report, Specimen collection, Symptom onset, Unknown	Category of date information based on description in original report; DATE_TYPE may differ from LOCATION_TYPE
7	SPATIAL_RESOLUTION	AL0, AL1, AL2, AL3, locality, sublocality	Granularity of location where cases and deaths occur corresponding with administrative levels defined by the Google Geo-locations API. AL0, which is equivalent to the country- or territory-level, is available for all sources, while finer resolution is not supplied by all sources.
8	AL0_CODE	AE, AU, BE, CA, CD	The two-letter code assigned to the country or territory of incidence. The code is defined by the International Organization for Standardization (ISO 3166-1 alpha-2 code).
9	AL0_NAME	Australia, Belgium, Cambodia, Canada, China	Name of country or territory where case or death is reported to authorities, cared for, or diagnosed, as indicated by LOCATION_TYPE. The name is standardized using the International Organization for Standardization 3166-1 country dataset.
10	AL1_CODE	AU-NSW, AU-QLD, AU-SA, AU-VIC, BE-BRU	The International Organization for Standardization 3166-1 subdivision code that corresponds to AL1_NAME.
11	AL1_NAME	Aichi, Anhui, Arizona, Bangkok, Bavaria	The first-order administrative division where cases and deaths occur. Taken from the original report and standardized using the Google Geolocation API. Administrative Area Level 1 is the largest administrative unit in a country or territory (e.g. state, province).
12	AL2_NAME	Bohol, Colombo, Cook County, Flemish Brabant, Gironde	The second-order administrative division where cases and deaths occur. Taken from the original report and standardized using the Google Geolocation API.
13	AL3_NAME	Starnberg, Traunstein	The third-order administrative division where cases and deaths occur. Taken from the original report and standardized using the Google Geolocation API.
14	LOCALITY_NAME	Alimbongo, Ariwara, Beijing, Beni, Biena	The name of the locality specified in the original epidemic report and standardized using the Google Geolocation API.
15	LOCATION_TYPE	Clinical care sought, Exposure, Report, Residence, Unknown	Category of location information based on description in original report; LOCATION_TYPE may differ from DATE_TYPE
16	CONFIRM_STATUS	CONFIRMED, PROBABLE, SUSPECTED, TOTAL	Indicator of case or death confirmation status. TOTAL includes suspected, probable, and confirmed cases, and incidence where confirmation status is not reported
17	OUTCOME	CASE, DEATH	Indicator for whether VALUE refers to case or death counts. Deaths are assumed to be included in the case count.
18	CUMULATIVE_FLAG	FALSE, TRUE	Flag indicating whether VALUE is cumulative (TRUE) or new (FALSE) case or death counts
19	VALUE	1, 2, 3, 4	Number of cases or deaths