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Data · dataset · 2025

Respiratory Virus Hospital Admissions Over Time

Listed in DataSF Open Data Portal

A. SUMMARY This dataset includes weekly respiratory disease hospital admissions for Influenza, RSV, and COVID-19 into San Francisco hospitals.

Description

Columns in the dataset include a count and rate of hospital admissions per 100,000 people. The data are reported by week.

B. HOW THE DATASET IS CREATED Hospital admission data is reported to the San Francisco Department of Public Health (SFDPH) from the United States Center for Disease Control’s (CDC) National Healthcare Safety Network ( NHSN ) program. San Francisco population estimates are pulled from a view based on the San Francisco Population and Demographic Census dataset . These population estimates are from the 2019-2023 5-year American Community Survey (ACS).

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C. UPDATE PROCESS The dataset is updated every Friday and includes data from the previous Sunday through Saturday. For example, the update on Friday, October 17th will include data through Saturday, October 11th. Data may change as more current information becomes available.

D. HOW TO USE THIS DATASET Weekly data represent a count of confirmed admissions of Influenza, RSV, and COVID-19 patients to San Francisco hospitals by week. The admission rate per 100,000 is calculated by multiplying the count of admissions each week by 100,000 and dividing by the population estimate. Respiratory virus activity levels are based on a California Department of Public Health (CDPH) definition which uses 5 prior seasons of data, these are defined below: COVID-19: Very Low 28.

Influenza: Very Low 9. RSV: Very Low 2.1. Trend indicators are also included to describe whether the positivity hospitalization rate for each respiratory virus is increasing, decreasing, or stable compared to the previous week.

Weekly trend status (Increasing / Decreasing / Stable) for respiratory virus hospitalization rates is determined using a threshold framework adapted from CDC's national FluView methodology, recalibrated using San Francisco–specific historical data. A week is classified as Increasing or Decreasing when the following condition is met: COVID-19: if the hospitalization rate changes by at least 0.3 from the previous week Influenza: if the hospitalization rate changes by at least 0.25 from the previous week RSV: if the hospitalization rate changes by at least 0.2 from the previous week If the condition is not met, the week is classified as Stable.

E. ARCHIVED DATA A previous version of COVID-19 Hospital Admissions Over TIme dataset was archived. For historical purposes, you can access the archived dataset here .

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Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
DataSF Open Data Portalppwr-akuv5 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · data sf govconnector:data_sf_gov@1.0.0
concepts[disease].local:disease:diseaseenrichment · data sf govkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:medicine-healthmapping · data sf govconnector:data_sf_gov@1.0.0
concepts[field].local:field:social-sciencemapping · data sf govconnector:data_sf_gov@1.0.0
concepts[topic].socrata_category:data_sf_gov:health-and-social-servicessource · data sf govconnector:data_sf_gov@1.0.0
created_datesource · data sf govconnector:data_sf_gov@1.0.0
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licensesource · data sf govconnector:data_sf_gov@1.0.0
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titlesource · data sf govconnector:data_sf_gov@1.0.0/resource/name
updated_datesource · data sf govconnector:data_sf_gov@1.0.0