DOHMH Covid-19 Milestone Data: Daily Number of People Admitted to NYC hospitals for Covid-19 like Illness

sj3k-gzyxuncategorised6 columns

This dataset shows the number of hospital admissions for influenza-like illness, pneumonia, or include ICD-10-CM code (U07.1) for 2019 novel coronavirus. Influenza-like illness is defined as a mention of either: fever and cough, fever and sore throat, fever and shortness of breath or difficulty breathing, or influenza. Patients whose ICD-10-CM code was subsequently assigned with only an ICD-10-CM code for influenza are excluded. Pneumonia is defined as mention or diagnosis of pneumonia. Baseline data represents the average number of people with COVID-19-like illness who are admitted to the hospital during this time of year based on historical counts. The average is based on the daily avg from the rolling same week (same day +/- 3 days) from the prior 3 years. Percent change data represents the change in count of people admitted compared to the previous day. Data sources include all hospital admissions from emergency department visits in NYC. Data are collected electronically and transmitted to the NYC Health Department hourly. This dataset is updated daily. All identifying health information is excluded from the dataset.

View on NYC Open Data

Quality

C74.2 / 100

From a 470-row sample across 6 columns.

completeness100/ 25% weight

consistency58/ 20% weight

accuracy93/ 20% weight

timeliness0/ 15% weight

usability95/ 20% weight

Related datasets

Sample rows

date	ili_pne_admit	baseline	percent_change	status	etldate
2020-03-01T00:00:00.000Z	133	135.952381	-2.2	Insert	2021-03-29T11:27:03.000Z
2020-03-02T00:00:00.000Z	188	134	40.3	Insert	2021-03-29T11:27:03.000Z
2020-03-03T00:00:00.000Z	174	133.8095238	30	Insert	2021-03-29T11:27:03.000Z

Columns

6 queryable · 6 profiled

The machine field names SoQL needs, with the publisher's own description of each.

Field	Type	Description	Null	Values
`date`	datetime	—	0%	`2020-08-02T00:00:00.000Z2021-04-08T00:00:00.000Z2020-07-09T00:00:00.000Z`
`ili_pne_admit`	integer	Daily number of hospital admissions for COVID-19 like illness	0%	`726864`
`baseline`	coordinate	Average number of people with COVID-19 like illness who are admitted to the hospital during this time of year	0%	`92.428571428571490.3809523809524108.8095238`
`percent_change`	coordinate	Percent change in count of people admitted between days.	0%

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GET /api/datasets/sj3k-gzyx/quality
GET /api/datasets/sj3k-gzyx/related
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