The data in this report can be used to assess the extent of COVID-19 community transmission and recent trends by county. Click on the above tabs to see statewide and county level data about COVID-19 cases, laboratory testing data, and emergency department visit trends. Click on the Emerging Counties tab to see a map of counties with increasing COVID-19 indicators and to see a summary of those indicators. Click on the High Transmission Counties tab to see a map of counties with high levels of COVID-19 and to see a summary of those indicators. Click on the Supplemental Maps tab to see maps of various COVID-19 indicators. See the data description below for an explanation of the data in each tab. This report is updated weekly.
Due to variations in the availability of testing, test-seeking behavior, local outbreaks, and widespread testing in congregate living settings, these data may not accurately represent true community transmission and should be considered with additional factors affecting the community in consultation with District Public Health, who can provide more guidance about the scenario in your county. Data in this report may not match data in the DPH Daily Status Report. The County Indicator Report is produced weekly and is static, but the Daily Status Report is updated daily. Daily case counts may change as previously reported cases may be removed as duplicate reports are corrected or may be reclassified as additional information is collected during case investigation.
Please consult additional resources to understand trends and other factors affecting your county.
Note: Some data may not be displayed correctly using Internet Explorer. Use another browser if that’s the case.
Click on the Confirmed Cases, Probable Cases, or All Laboratory Positive Cases tab to view confirmed, probable, or laboratory positive cases. A confirmed case is an individual with a positive molecular (PCR) test. A probable case meets at least one of the following criteria: has a positive antigen test on a respiratory specimen; OR has not had a confirmatory COVID-19 test but has symptoms compatible with COVID-19 AND a known exposure to a COVID-19 case; OR the individual has died and the death certificate lists COVID-19 disease or SARS-CoV-2 as an underlying cause of death or a significant condition contributing to death. All laboratory positive cases include cases that have tested positive for SARS-CoV-2 with either a PCR or antigen test.
Source
Cases reported to DPH. Cases may be reported through multiple sources including electronic lab reporting (ELR), entered directly into the State Electronic Notifiable Disease Surveillance System (SendSS), faxed case reports, and calls from providers to DPH. People may have multiple tests performed but each person is counted only once, even if they have multiple positive tests. Cases are counted according to county of residence.
Measures
Confirmed Cases Tab
Probable Cases Tab
All Laboratory Positive Cases (PCR and Antigen Positive)
Source
Molecular (PCR) test results reported to DPH through ELR only, not all reporting sources, therefore these data do not represent all tests performed in Georgia. ELR reports include both positive and negative results; other reporting sources do not consistently report negative results. People with a positive test often get retested and may test positive multiple times. These repeat positive tests will be counted as new positive tests, but they will not be reported as new cases. County represents county of residence. The date reflects the date the specimen was collected. The most recent data analyzed begins 3 days prior to the date of this report due to delays in reporting.
Measures
Source
Syndromic Surveillance (SS) provides a method for timely detection of potential clusters or outbreaks of specified diseases/events (Syndromes). SS data include emergency department (ED) visits based on the patient’s chief complaint upon admission and/or discharge diagnosis. Text and diagnosis codes are searched to identify syndromes which can indicate changes in the number of people seeking care in emergency departments for those diseases or conditions. For the purpose of this report, the Influenza Like Illness (ILI) and Covid-19 (COVID) syndromes were used to analyze trends in ED visits potentially related to COVID-19. County represents county of residence. The most recent data analyzed begins 3 days prior to the date of this report due to delays in reporting.
Additional notes: Approximately 90% of Georgia EDs currently report to DPH, most data are available within 72 hours of patient visit. 80% of facilities are currently submitting discharge diagnosis information, final diagnosis may differ from the chief complaint recorded during admission. Changes in counts may vary if a new facility begins reporting to DPH or temporarily stops reporting due to technical issues. Documentation of chief complaint varies by facility. SS data does not necessarily depict the true burden of specified diseases/events. Date represents the ED visit date. Criteria for syndromes are subject to change as additional information is received.
Measures
An Emerging county of interest is defined as a county that meets the below criteria. An emerging county of interest warrants further investigation to understand the cause of the recent increase in cases, and determine whether immediate public health intervention is needed, if not already initiated.
A county with high transmission indicators is defined as a county that meets the below criteria. These counties have high rates of new COVID-19 cases and a high % of positive PCR tests, indicating that that the virus may be circulating widely in the county.
This report was produced using R version 4.0.5 (2021-03-31).
R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
With the following packages:package | |
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package | |
openxlsx | Philipp Schauberger and Alexander Walker (2020). openxlsx: Read, Write and Edit xlsx Files. R package version 4.2.3. https://CRAN.R-project.org/package=openxlsx |
scales | Hadley Wickham and Dana Seidel (2020). scales: Scale Functions for Visualization. R package version 1.1.1. https://CRAN.R-project.org/package=scales |
sf | Pebesma, E., 2018. Simple Features for R: Standardized Support for Spatial Vector Data. The R Journal 10 (1), 439-446, https://doi.org/10.32614/RJ-2018-009 |
kableExtra | Hao Zhu (2021). kableExtra: Construct Complex Table with ‘kable’ and Pipe Syntax. R package version 1.3.4. https://CRAN.R-project.org/package=kableExtra |
rio | Chung-hong Chan, Geoffrey CH Chan, Thomas J. Leeper, and Jason Becker (2021). rio: A Swiss-army knife for data file I/O. R package version 0.5.26. |
here | Kirill Müller (2020). here: A Simpler Way to Find Your Files. R package version 1.0.1. https://CRAN.R-project.org/package=here |
runner | Dawid Kaledkowski (2021). runner: Running Operations for Vectors. R package version 0.3.8. https://CRAN.R-project.org/package=runner |
glue | Jim Hester (2020). glue: Interpreted String Literals. R package version 1.4.2. https://CRAN.R-project.org/package=glue |
lubridate | Garrett Grolemund, Hadley Wickham (2011). Dates and Times Made Easy with lubridate. Journal of Statistical Software, 40(3), 1-25. URL https://www.jstatsoft.org/v40/i03/. |
forcats | Hadley Wickham (2021). forcats: Tools for Working with Categorical Variables (Factors). R package version 0.5.1. https://CRAN.R-project.org/package=forcats |
stringr | Hadley Wickham (2019). stringr: Simple, Consistent Wrappers for Common String Operations. R package version 1.4.0. https://CRAN.R-project.org/package=stringr |
dplyr | Hadley Wickham, Romain François, Lionel Henry and Kirill Müller (2021). dplyr: A Grammar of Data Manipulation. R package version 1.0.5. https://CRAN.R-project.org/package=dplyr |
purrr | Lionel Henry and Hadley Wickham (2020). purrr: Functional Programming Tools. R package version 0.3.4. https://CRAN.R-project.org/package=purrr |
readr | Hadley Wickham and Jim Hester (2020). readr: Read Rectangular Text Data. R package version 1.4.0. https://CRAN.R-project.org/package=readr |
tidyr | Hadley Wickham (2021). tidyr: Tidy Messy Data. R package version 1.1.3. https://CRAN.R-project.org/package=tidyr |
tibble | Kirill Müller and Hadley Wickham (2021). tibble: Simple Data Frames. R package version 3.1.0. https://CRAN.R-project.org/package=tibble |
ggplot2 | H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016. |
tidyverse | Wickham et al., (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686, https://doi.org/10.21105/joss.01686 |
sparkline | Ramnath Vaidyanathan, Kent Russell and Gareth Watts (2016). sparkline: ‘jQuery’ Sparkline ‘htmlwidget’. R package version 2.0. https://CRAN.R-project.org/package=sparkline |
DT | Yihui Xie, Joe Cheng and Xianying Tan (2021). DT: A Wrapper of the JavaScript Library ‘DataTables’. R package version 0.18. https://CRAN.R-project.org/package=DT |
flexdashboard | Richard Iannone, JJ Allaire and Barbara Borges (2020). flexdashboard: R Markdown Format for Flexible Dashboards. R package version 0.5.2. https://CRAN.R-project.org/package=flexdashboard |
last updated: 05/24/2021
All cases date range: 02/01/2020 - 05/21/2021
30-day date range: 04/22/2021 - 05/21/2021
14-day date range: 05/08/2021 - 05/21/2021
7-day date range: 05/15/2021 - 05/21/2021
metric descriptions
last updated: 05/24/2021
30-day date range: 04/22/2021 - 05/21/2021
metric descriptions
last updated: 05/24/2021
30-day date range: 04/22/2021 - 05/21/2021
metric descriptions