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County of San Diego COVID 19 statistics. NO LONGER UPDATED. Updated data can be found here: https://data.sandiegocounty.gov/dataset/COVID-19-Statistics-San-Diego-County/uvug-znjd

Notice: Data is preliminary and subject to change. This dataset is updated in the evening on a daily basis. There is a delay in the Esri Hub caching process of between 5 - 10 minutes. Download requests will be queued in your browser prior to execution during the caching process and resume once the data cache is rebuilt.COVID-19 Statistics San Diego CountyData source: County of San Diego, Health and Human Services Agency, Public Health Services, Epidemiology and Immunization Services Branch

NO LONGER UPDATED. Data source: County of San Diego, Health and Human Services Agency, Public Health Services, Epidemiology and Immunization Services Branch

Includes number of total confirmed positive cases in San Diego as posted by https://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/community_epidemiology/dc/2019-nCoV/status.html.

Notice: Data is preliminary and subject to change. This dataset is updated in the evening on a daily basis. There is a delay in the Esri Hub caching process of between 5 - 10 minutes. Download requests will be queued in your browser prior to execution during the caching process and resume once the data cache is rebuilt.

San Diego County COVID-19 Vaccination statisticsData source: County of San Diego, Health and Human Services Agency, Public Health Services, Epidemiology and Immunization Services Branch

Notice: Data is preliminary and subject to change. This dataset is updated once a week on Thursday evenings. To download the data, please visit the SanGIS Regional Data Warehouse at rdw.sandag.org. Data downloads will be available under the Health category.San Diego County COVID-19 statistics by JurisdictionData source: County of San Diego, Health and Human Services Agency, Public Health Services, Epidemiology and Immunization Services Branch

County of San Diego confirmed COVID cases by zip code. NO LONGER UPDATED. Updated dataset can be found: https://data.sandiegocounty.gov/dataset/COVID-19-Statistics-by-Zip-Code/jtds-js8h

Note: This dataset is no longer being updated due to the end of the COVID-19 Public Health Emergency.

Note: On 2/16/22, 17,467 cases based on at-home positive test results were excluded from the probable case counts. Per national case classification guidelines, cases based on at-home positive results are now classified as “suspect” cases. The majority of these cases were identified between November 2021 and February 2022.

CDPH tracks both probable and confirmed cases of COVID-19 to better understand how the virus is impacting our communities. Probable cases are defined as individuals with a positive antigen test that detects the presence of viral antigens. Antigen testing is useful when rapid results are needed, or in settings where laboratory resources may be limited. Confirmed cases are defined as individuals with a positive molecular test, which tests for viral genetic material, such as a PCR or polymerase chain reaction test. Results from both types of tests are reported to CDPH.

Due to the expanded use of antigen testing, surveillance of probable cases is increasingly important. The proportion of probable cases among the total cases in California has increased. To provide a more complete picture of trends in case volume, it is now more important to provide probable case data in addition to confirmed case data. The Centers for Disease Control and Prevention (CDC) has begun publishing probable case data for states.

Testing data is updated weekly. Due to small numbers, the percentage of probable cases in the first two weeks of the month may change. Probable case data from San Diego County is not included in the statewide table at this time.

For more information, please see https://www.cdph.ca.gov/Programs/CID/DCDC/Pages/COVID-19/Probable-Cases.aspx

Univariate and multivariable logistic regression analysis of factors associated with parental vaccination endorsement for COVID-19.

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Bivariate analysis of factors associated with parental endorsement for COVID-19 Vaccination.

COVID19_Triggers

BackgroundSan Ysidro, a densely populated primarily Latino community near the U.S./Mexico border, reported the highest rate of COVID-19 infection in San Diego County. In this increased infection risk environment, we explored the impact of COVID-19 vaccine status, household exposure, and primary circulating SARS-CoV-2 variant on the probability of infection and symptom presentation while controlling for temporal and sociodemographic factors.MethodsData were collected as part of CO-CREATE (Community-Driven Optimization of COVID-19 Testing to Reach and Engage underserved Areas for Testing Equity), a collaborative implementation study between University of California San Diego, a local Federally Qualified Health Center, and the Global Action Research Center. Self-reported sociodemographic factors, household exposure, vaccine status, and symptoms were extracted from a cross-sectional questionnaire completed by participants; PCR test results were used for analysis. Multi-level logistic regression, to account for repeat testing, was used to estimate the impact of self-reported vaccination status on COVID-19 household transmission. Logistic regression was used to characterize symptoms associated with predominate circulating SARS-CoV-2 variants.ResultsBetween May 2021 and March 2023, 11,412 PCR test results from 6,032 participants were analyzed. Individuals who were vaccinated and had a household exposure were 3.5 times [aOR 3.5 (95% CI 2.7, 4.6)] more likely to be PCR positive compared to individuals who were vaccinated and reported no household exposure; and individuals who were unvaccinated and reported a household exposure were 9.1 times [aOR 9.1 (95% CI 5.3, 15.5)] more likely to be PCR positive compared to individuals who were vaccinated and reported no household exposure. These results were obtained after adjusting for variant wave, age, language spoken, previous infection status, symptom status, and employment. Symptoms varied by predominate circulating SARS-CoV-2 variant, highlighting the impact of variant on disease presentation and potential vaccine efficacy.ConclusionCOVID-19 vaccination was associated with a reduced risk of COVID-19 infection after household exposure, highlighting the importance of equitable access to COVID-19 vaccines, specifically in communities experiencing higher infection rates. Our findings also underscore the necessity for enhancing workplace safety protocols, addressing language-specific considerations, and being cognizant of differing symptom presentation by variant.

BackgroundInstitutional mistrust has weakened COVID-19 mitigation efforts. Assessing to what extent institutional mistrust impacts parental decision making is important in formulating structural efforts for improving future pandemic response. We hypothesized that institutional mistrust is associated with lower parental endorsement for COVID-19 vaccination.MethodsWe distributed an online survey among parents from schools in areas with high levels of social vulnerability relative to the rest of San Diego County. We defined vaccination endorsement as having a child aged 5 years or older who received at least one COVID-19 vaccine dose or being very likely to vaccinate their child aged 6 months—4 years when eligible. Institutional mistrust reflected the level of confidence in institutions using an aggregate score from 11 to 44. We built a multivariable logistic regression model with potential confounding variables.FindingsOut of 290 parents in our sample, most were female (87.6%), reported their child as Hispanic/Latino (73.4%), and expressed vaccination endorsement (52.1%). For every one-point increase in mistrust score, there was an 8% reduction in the likelihood of participants endorsing vaccination for their child. Other statistically significant correlates that were positively associated with vaccination endorsement included parent vaccination status, child age, parent age, and Hispanic/Latino ethnicity.ConclusionOur study further demonstrates how institutional mistrust hinders public response during health emergencies. Our findings also highlight the importance of building confidence in institutions and its downstream effects on pandemic preparedness and public health. One way that institutions can improve their relationship with constituents is through building genuine partnerships with trusted community figures.

THIS DATA HAS BEEN REPLACED BY DIFFERENT FEATURE SERVICESTHE LAST DATE OF ENTRY WAS 8/23/2020THE DATA REPLACING THIS DATA CAN BE FOUND:SAMHD Daily Surveillance Data PublicSAMHD COVID-19 Weekly Data PublicCOVID19 Weekly Lab Testing Public------------------------------------------------------------------------------------------------------------------------------------------------------This data set contains data used to produce the public CoVID-19 Surveillance Dashboard and describes a variety of indicators of the CoVID-19 situation in the City of San Antonio and Bexar County. Each field is updated daily since the first date the data element appeared live in the Dashboard. The Surveillance Dashboard is live and available here.This data reflects information provided by the City of San Antonio Metro Health Department, and is released daily at 7PM on the City of San Antonio CoVID-19 website.