A. SUMMARY
Geographic zones of the priority areas in the Tenderloin neighborhood used in the COVID-19 assessment and Tenderloin Neighborhood Plan. See more details on the plan here:
https://sf.gov/news/san-francisco-releases-tenderloin-neighborhood-safety-assessment-and-plan-covid-19

B. HOW THE DATASET IS CREATED
A team of representative City departments from the Healthy Streets Operation Center (Department of Emergency Management, Department of Public Health, Department of Homelessness and Supportive Housing, Human Rights Commission, San Francisco Police Department, San Francisco Fire Department, and Department of Public Works), SF Homeless Outreach Team, Felton Institute, and community groups and stakeholders was assembled to design and implement a robust Tenderloin Neighborhood Needs Assessment. This assessment was conducted on the morning of April 28, 2020 and consisted of multi-disciplinary teams walking each block of an area of the Tenderloin broken into six geographic zones. These zone locations are shown in the plan, and are mapped in this dataset.

C. UPDATE PROCESS
This is a reference map that will not be updated.

D. HOW TO USE THIS DATASET
These zones can be used with other datasets to track trends by zone. Note that these zones are the priority zones for the Tenderloin Plan and do not represent the entire Tenderloin Neighborhood boundary. For a boundary of the entire Tenderloin, use the analysis neighborhood boundary: https://data.sfgov.org/Geographic-Locations-and-Boundaries/Analysis-Neighborhoods/p5b7-5n3h

A. SUMMARY
This dataset represents the COVID-19 positive confirmed cases by sexual orientation for adult cases (18 or older) where the lab result was reported after April 28th.

Information on sexual orientation is collected from individuals who are 18 years or older and who opt to provide it during case interviews. The Department of Public Health began asking for this information on April 28, 2020. To gather this information, SFDPH follows their Principles for Collecting, Coding, and Reporting Identity Data: Sexual Orientation Guidelines.

Read more about California's mandate that all counties report data on sexual orientation and gender identity.

Demographic data (including sexual orientation) are based on information reported from case interviews, laboratories, and providers. This data may not be immediately available for recently reported cases and data will change to reflect as information becomes available. Cumulative counts of 5 or fewer are excluded from the dataset.

B. HOW THE DATASET IS CREATED
Information on COVID-19 case demographic details (like sexual orientation) is reported from a combination of data sources including electronic and faxed laboratory reports, case interviews, medical providers, and electronic medical record systems. These multiple streams of data are merged, deduplicated, undergo quality assurance and other data verification processes, and are continually updated to maximize completeness of information and reporting on San Francisco residents with COVID-19. Data are prepared by close of business daily for public display.

C. UPDATE PROCESS
Updated daily, dataset uploaded manually by staff

D. HOW TO USE THIS DATASET
This data may undercount certain minorities who have faced stigma and discrimination, particularly in medical settings (and therefore may not disclose their gender identity or sexual orientation, for example).

Missing data (coded here as "missing") may become known over time as more information is gathered.

Sexual Orientation groups resulting in 5 or fewer cumulative cases are dropped for privacy reasons.

There are four other datasets related to cases:
1. COVID-19 Cases Summarized by Date, Transmission and Case Disposition
2. COVID-19 Cases Summarized by Race and Ethnicity
3. COVID-19 Cases Summarized by Gender
4. COVID-19 Cases Summarized by Age Group

A. SUMMARY
This dataset includes San Francisco COVID-19 tests by race/ ethnicity and date. For each day, this dataset represents the daily count of tests collected by race/ethnicity, and how many of those were positive, negative, and indeterminate. Tests in this dataset include all tests collected from San Francisco residents who listed a San Francisco home address at the time of testing, and tests that were collected in San Francisco but had a missing home address. Data are based on information collected at the time of testing.

For recent data, about 25-30% of tests are missing race/ ethnicity information. Tests where the race/ ethnicity of the patient is unknown are included in the dataset under the "Unknown" category.

This data was de-duplicated by individual and date, so if a person gets tested multiple times on different dates, all tests will be included in this dataset (on the day each test was collected).

The total number of positive test results is not equal to the total number of COVID-19 cases in San Francisco. Each positive test result is investigated. During this investigation, some test results are found to be for persons living outside of San Francisco and some people in San Francisco may be tested multiple times. In both cases, these results are not included in San Francisco’s total COVID-19 case count. To track the number of cases by race/ ethnicity, see this dashboard: https://data.sfgov.org/stories/s/w6za-6st8

B. HOW THE DATASET IS CREATED
COVID-19 laboratory test data is based on electronic laboratory test reports. Deduplication, quality assurance measures and other data verification processes maximize accuracy of laboratory test information. Data are prepared by close of business daily for public display.

C. UPDATE PROCESS
Updated daily, dataset uploaded manually by staff

D. HOW TO USE THIS DATASET
Due to the high degree of variation in the time needed to complete tests by different labs there is a delay in this reporting. On March 24 the Health Officer ordered all labs in the City to report complete COVID-19 testing information to the local and state health departments.

In order to track trends over time, a data user can analyze this data by "specimen_collection_date".

Calculating Percent Positivity: The positivity rate is the percentage of tests that return a positive result for COVID-19 (positive tests divided by the sum of positive and negative tests). Indeterminate results, which could not conclusively determine whether COVID-19 virus was present, are not included in the calculation of percent positive. When there are fewer than 20 positives tests for a given race/ethnicity and time period, the positivity rate is not calculated for the public tracker because rates of small test counts are less reliable.

Calculating Testing Rates: To calculate the testing rate per 10,000 residents, divide the total number of tests collected (positive, negative, and indeterminate results) for the specified race/ ethnicity by the total number of residents who identify as that race/ ethnicity (according to the 2018 5-year estimates from the American Community Survey), then multiply by 10,000. When there are fewer than 20 total tests for a given race/ethnicity and time period, the testing rate is not calculated for the public tracker because rates of small test counts are less reliable.

Read more about how this data is updated and validated daily: https://data.sfgov.org/stories/s/nudz-9tg2

There are two other datasets related to tests:
1. COVID-19 Tests
2. COVID-19 Tests by Neighborhood and Date

A. SUMMARY
This dataset represents the COVID-19 positive confirmed cases by comorbidities (underlying conditions). Comorbidities (underlying conditions) for COVID-19 cases are reported when a person has one or more underlying health conditions, such as chronic lung disease including asthma or emphysema, diabetes, cardiovascular disease or liver disease, present at the time of diagnosis.

Data on comorbidities are based on information reported from case interviews, laboratories, and providers. This data may not be immediately available for recently reported cases and data will change to reflect as information becomes available. Cumulative counts of 5 or fewer are excluded from the dataset.

B. HOW THE DATASET IS CREATED
Information on cases including details on any underlying conditions is reported from a combination of data sources including electronic and faxed laboratory reports, case interviews, medical providers, and electronic medical record systems. These multiple streams of data are merged, deduplicated, undergo quality assurance and other data verification processes, and are continually updated to maximize completeness of information and reporting on San Francisco residents with COVID-19. Data are prepared by close of business daily for public display.

C. UPDATE PROCESS
Updated daily, dataset uploaded manually by staff

D. HOW TO USE THIS DATASET
Unknowns may become known over time as more information is gathered.

Categories resulting in 5 or fewer cumulative cases are dropped for privacy reasons.

There are several other datasets related to cases:
1. COVID-19 Cases Summarized by Date, Transmission and Case Disposition
2. COVID-19 Cases Summarized by Race and Ethnicity
3. COVID-19 Cases Summarized by Age Group
4. COVID-19 Cases Summarized by Gender
5. COVID-19 Cases Summarized by Sexual Orientation
6. COVID-19 Cases Summarized by Homelessness Status