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11 Results
filtered by
Category > COVID-19
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A. SUMMARY
This dataset contains COVID-19 positive confirmed cases aggregated by several different geographic areas and by day. COVID-19 cases are mapped to the residence of the individual and shown on the date the positive test was collected. In addition, 2016-2020 American Community Survey (ACS) population estimates are included to calculate the cumulative rate per 10,000 residents.
This dataset contains COVID-19 positive confirmed cases aggregated by several different geographic areas and by day. COVID-19 cases are mapped to the residence of the individual and shown on the date the positive test was collected. In addition, 2016-2020 American Community Survey (ACS) population estimates are included to calculate the cumulative rate per 10,000 residents.
Dataset covers cases going back to 3/2/2020 when testing began. This data may not be immediately available for recently reported cases and data will change to reflect as information becomes available. Data updated daily.
Geographic areas summarized are:
1. Analysis Neighborhoods
2. Census Tracts
3. Census Zip Code Tabulation Areas
1. Analysis Neighborhoods
2. Census Tracts
3. Census Zip Code Tabulation Areas
B. HOW THE DATASET IS CREATED
Addresses from the COVID-19 case data are geocoded by the San Francisco Department of Public Health (SFDPH). Those addresses are spatially joined to the geographic areas. Counts are generated based on the number of address points that match each geographic area for a given date.
Addresses from the COVID-19 case data are geocoded by the San Francisco Department of Public Health (SFDPH). Those addresses are spatially joined to the geographic areas. Counts are generated based on the number of address points that match each geographic area for a given date.
The 2016-2020 American Community Survey (ACS) population estimates provided by the Census are used to create a cumulative rate which is equal to ([cumulative count up to that date] / [acs_population]) * 10000) representing the number of total cases per 10,000 residents (as of the specified date).
COVID-19 case data undergo quality assurance and other data verification processes and are continually updated to maximize completeness and accuracy of information. This means data may change for previous days as information is updated.
C. UPDATE PROCESS
Geographic analysis is scripted by SFDPH staff and synced to this dataset daily at 05:00 Pacific Time.
Geographic analysis is scripted by SFDPH staff and synced to this dataset daily at 05:00 Pacific Time.
D. HOW TO USE THIS DATASET
San Francisco population estimates for geographic regions can be found in a view based on the San Francisco Population and Demographic Census dataset. These population estimates are from the 2016-2020 5-year American Community Survey (ACS).
San Francisco population estimates for geographic regions can be found in a view based on the San Francisco Population and Demographic Census dataset. These population estimates are from the 2016-2020 5-year American Community Survey (ACS).
This dataset can be used to track the spread of COVID-19 throughout the city, in a variety of geographic areas. Note that the new cases column in the data represents the number of new cases confirmed in a certain area on the specified day, while the cumulative cases column is the cumulative total of cases in a certain area as of the specified date.
Privacy rules in effect
To protect privacy, certain rules are in effect:
1. Any area with a cumulative case count less than 10 are dropped for all days the cumulative count was less than 10. These will be null values.
2. Once an area has a cumulative case count of 10 or greater, that area will have a new row of case data every day following.
3. Cases are dropped altogether for areas where acs_population < 1000
4. Deaths data are not included in this dataset for privacy reasons. The low COVID-19 death rate in San Francisco, along with other publicly available information on deaths, means that deaths data by geography and day is too granular and potentially risky. Read more in our privacy guidelines
To protect privacy, certain rules are in effect:
1. Any area with a cumulative case count less than 10 are dropped for all days the cumulative count was less than 10. These will be null values.
2. Once an area has a cumulative case count of 10 or greater, that area will have a new row of case data every day following.
3. Cases are dropped altogether for areas where acs_population < 1000
4. Deaths data are not included in this dataset for privacy reasons. The low COVID-19 death rate in San Francisco, along with other publicly available information on deaths, means that deaths data by geography and day is too granular and potentially risky. Read more in our privacy guidelines
Rate suppression in effect where counts lower than 20
Rates are not calculated unless the cumulative case count is greater than or equal to 20. Rates are generally unstable at small numbers, so we avoid calculating them directly. We advise you to apply the same approach as this is best practice in epidemiology.
Rates are not calculated unless the cumulative case count is greater than or equal to 20. Rates are generally unstable at small numbers, so we avoid calculating them directly. We advise you to apply the same approach as this is best practice in epidemiology.
A note on Census ZIP Code Tabulation Areas (ZCTAs)
ZIP Code Tabulation Areas are spec
ZIP Code Tabulation Areas are spec
Updated
March 13 2024
Views
13,152
Dataset
A. SUMMARY
A list of testing locations including address and coordinates for mapping.
A list of testing locations including address and coordinates for mapping.
B. HOW THE DATASET IS CREATED
Dataset is manually compiled by staff from the various testing providers.
Dataset is manually compiled by staff from the various testing providers.
C. UPDATE PROCESS
Data is updated as needed. If you have a site you'd like added to the dataset and map, please email DPH.DOC.Ops.Testing@sfdph.org.
Data is updated as needed. If you have a site you'd like added to the dataset and map, please email DPH.DOC.Ops.Testing@sfdph.org.
D. HOW TO USE THIS DATASET
Dataset can be used to map locations of test sites and understand which require insurance and which do not. It is the base data used to power the user-facing map of testing locations at https://datasf.org/covid19-testing-locations
Dataset can be used to map locations of test sites and understand which require insurance and which do not. It is the base data used to power the user-facing map of testing locations at https://datasf.org/covid19-testing-locations
Tags
No tags assigned
Updated
March 13 2024
Views
29,238
A. SUMMARY
Medical provider confirmed COVID-19 cases and confirmed COVID-19 related deaths in San Francisco, CA aggregated by several different geographic areas and normalized by 2016-2020 American Community Survey (ACS) 5-year estimates for population data to calculate rate per 10,000 residents.
Medical provider confirmed COVID-19 cases and confirmed COVID-19 related deaths in San Francisco, CA aggregated by several different geographic areas and normalized by 2016-2020 American Community Survey (ACS) 5-year estimates for population data to calculate rate per 10,000 residents.
On September 12, 2021, a new case definition of COVID-19 was introduced that includes criteria for enumerating new infections after previous probable or confirmed infections (also known as reinfections). A reinfection is defined as a confirmed positive PCR lab test more than 90 days after a positive PCR or antigen test. The first reinfection case was identified on December 7, 2021.
Cases and deaths are both mapped to the residence of the individual, not to where they were infected or died. For example, if one was infected in San Francisco at work but lives in the East Bay, those are not counted as SF Cases or if one dies in Zuckerberg San Francisco General but is from another county, that is also not counted in this dataset.
Dataset is cumulative and covers cases going back to 3/2/2020 when testing began.
Geographic areas summarized are:
1. Analysis Neighborhoods
2. Census Tracts
3. Census Zip Code Tabulation Areas
1. Analysis Neighborhoods
2. Census Tracts
3. Census Zip Code Tabulation Areas
B. HOW THE DATASET IS CREATED
Addresses from medical data are geocoded by the San Francisco Department of Public Health (SFDPH). Those addresses are spatially joined to the geographic areas. Counts are generated based on the number of address points that match each geographic area. The 2016-2020 American Community Survey (ACS) population estimates provided by the Census are used to create a rate which is equal to ([count] / [acs_population]) * 10000) representing the number of cases per 10,000 residents.
Addresses from medical data are geocoded by the San Francisco Department of Public Health (SFDPH). Those addresses are spatially joined to the geographic areas. Counts are generated based on the number of address points that match each geographic area. The 2016-2020 American Community Survey (ACS) population estimates provided by the Census are used to create a rate which is equal to ([count] / [acs_population]) * 10000) representing the number of cases per 10,000 residents.
C. UPDATE PROCESS
Geographic analysis is scripted by SFDPH staff and synced to this dataset daily at 7:30 Pacific Time.
Geographic analysis is scripted by SFDPH staff and synced to this dataset daily at 7:30 Pacific Time.
D. HOW TO USE THIS DATASET
San Francisco population estimates for geographic regions can be found in a view based on the San Francisco Population and Demographic Census dataset. These population estimates are from the 2016-2020 5-year American Community Survey (ACS).
San Francisco population estimates for geographic regions can be found in a view based on the San Francisco Population and Demographic Census dataset. These population estimates are from the 2016-2020 5-year American Community Survey (ACS).
Privacy rules in effect
To protect privacy, certain rules are in effect:
1. Case counts greater than 0 and less than 10 are dropped - these will be null (blank) values
2. Death counts greater than 0 and less than 10 are dropped - these will be null (blank) values
3. Cases and deaths dropped altogether for areas where acs_population < 1000
To protect privacy, certain rules are in effect:
1. Case counts greater than 0 and less than 10 are dropped - these will be null (blank) values
2. Death counts greater than 0 and less than 10 are dropped - these will be null (blank) values
3. Cases and deaths dropped altogether for areas where acs_population < 1000
Rate suppression in effect where counts lower than 20
Rates are not calculated unless the case count is greater than or equal to 20. Rates are generally unstable at small numbers, so we avoid calculating them directly. We advise you to apply the same approach as this is best practice in epidemiology.
Rates are not calculated unless the case count is greater than or equal to 20. Rates are generally unstable at small numbers, so we avoid calculating them directly. We advise you to apply the same approach as this is best practice in epidemiology.
A note on Census ZIP Code Tabulation Areas (ZCTAs)
ZIP Code Tabulation Areas are special boundaries created by the U.S. Census based on ZIP Codes developed by the USPS. They are not, however, the same thing. ZCTAs are areal representations of routes. Read how the Census develops ZCTAs on their website.
ZIP Code Tabulation Areas are special boundaries created by the U.S. Census based on ZIP Codes developed by the USPS. They are not, however, the same thing. ZCTAs are areal representations of routes. Read how the Census develops ZCTAs on their website.
Row included for Citywide case counts, incidence rate, and deaths
A single row is included that has the Citywide case counts and incidence rate. This can be used for comparisons. Citywide will capture all cases regardless of address quality. While some cases cannot be mapped to sub-areas like Census Tracts, ongo
A single row is included that has the Citywide case counts and incidence rate. This can be used for comparisons. Citywide will capture all cases regardless of address quality. While some cases cannot be mapped to sub-areas like Census Tracts, ongo
Tags
No tags assigned
Updated
March 13 2024
Views
18,161
A. SUMMARY
Dataset contains Vaccine Access points in City and County of San Francisco as listed on https://sf.gov/vaccine-sites.
This site list is not inclusive of all City Sites, as some mobile sites and other providers may not be included.
Dataset contains Vaccine Access points in City and County of San Francisco as listed on https://sf.gov/vaccine-sites.
This site list is not inclusive of all City Sites, as some mobile sites and other providers may not be included.
B. HOW THE DATASET IS CREATED
Maintained by City staff.
Maintained by City staff.
C. UPDATE PROCESS
Updated daily via automated process
Updated daily via automated process
Tags
No tags assigned
Updated
March 13 2024
Views
8,419
A. SUMMARY
Medical provider confirmed COVID-19 cases and confirmed COVID-19 related deaths in San Francisco, CA aggregated by Census ZIP Code Tabulation Areas and normalized by 2018 American Community Survey (ACS) 5-year estimates for population data to calculate rate per 10,000 residents.
Medical provider confirmed COVID-19 cases and confirmed COVID-19 related deaths in San Francisco, CA aggregated by Census ZIP Code Tabulation Areas and normalized by 2018 American Community Survey (ACS) 5-year estimates for population data to calculate rate per 10,000 residents.
Cases and deaths are both mapped to the residence of the individual, not to where they were infected or died. For example, if one was infected in San Francisco at work but lives in the East Bay, those are not counted as SF Cases or if one dies in Zuckerberg San Francisco General but is from another county, that is also not counted in this dataset.
Dataset is cumulative and covers cases going back to March 2nd, 2020 when testing began. It is updated daily.
B. HOW THE DATASET IS CREATED
Addresses from medical data are geocoded by the San Francisco Department of Public Health (SFDPH). Those addresses are spatially joined to the geographic areas. Counts are generated based on the number of address points that match each geographic area. The 2018 ACS estimates for population provided by the Census are used to create a rate which is equal to ([count] / [acs_population]) * 10000) representing the number of cases per 10,000 residents.
Addresses from medical data are geocoded by the San Francisco Department of Public Health (SFDPH). Those addresses are spatially joined to the geographic areas. Counts are generated based on the number of address points that match each geographic area. The 2018 ACS estimates for population provided by the Census are used to create a rate which is equal to ([count] / [acs_population]) * 10000) representing the number of cases per 10,000 residents.
C. UPDATE PROCESS
Geographic analysis is scripted by SFDPH staff and synced to this dataset each day.
Geographic analysis is scripted by SFDPH staff and synced to this dataset each day.
D. HOW TO USE THIS DATASET
Privacy rules in effect
To protect privacy, certain rules are in effect:
1. Case counts greater than 0 and less than 10 are dropped - these will be null (blank) values
2. Cases dropped altogether for areas where acs_population < 1000
Privacy rules in effect
To protect privacy, certain rules are in effect:
1. Case counts greater than 0 and less than 10 are dropped - these will be null (blank) values
2. Cases dropped altogether for areas where acs_population < 1000
Rate suppression in effect where counts lower than 20
Rates are not calculated unless the case count is greater than or equal to 20. Rates are generally unstable at small numbers, so we avoid calculating them directly. We advise you to apply the same approach as this is best practice in epidemiology.
Rates are not calculated unless the case count is greater than or equal to 20. Rates are generally unstable at small numbers, so we avoid calculating them directly. We advise you to apply the same approach as this is best practice in epidemiology.
A note on Census ZIP Code Tabulation Areas (ZCTAs)
ZIP Code Tabulation Areas are special boundaries created by the U.S. Census based on ZIP Codes developed by the USPS. They are not, however, the same thing. ZCTAs are polygonal representations of USPS ZIP Code service area routes. Read how the Census develops ZCTAs on their website.
ZIP Code Tabulation Areas are special boundaries created by the U.S. Census based on ZIP Codes developed by the USPS. They are not, however, the same thing. ZCTAs are polygonal representations of USPS ZIP Code service area routes. Read how the Census develops ZCTAs on their website.
This dataset is a filtered view of another dataset
You can find a full dataset of cases and deaths summarized by this and other geographic areas.
You can find a full dataset of cases and deaths summarized by this and other geographic areas.
E. CHANGE LOG
- 9/11/2023 - data on COVID-19 cases and deaths summarized by ZIP code tabulation area are no longer being updated. This data is currently through 9/6/2023 and will not include any new data after this date.
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Updated
January 30 2025
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