https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE
In past 24 hours, Georgia, Asia had N/A new cases, N/A deaths and N/A recoveries.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Georgia recorded 1842046 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Georgia reported 17070 Coronavirus Deaths. This dataset includes a chart with historical data for Georgia Coronavirus Cases.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This data is compiled from the Georgia Department of Public Health COVID-19 Daily Status Report page at: https://dph.georgia.gov/covid-19-daily-status-report. Georgia Department of Public Health (DPH). The GA DPH refreshes their data on this site daily and provides the updates in CSV format in a compressed (zip) file.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Continuously updated Georgia COVID-19 Feature Layer from Georgia Emergency Management and Homeland Security Agency. GEMA Dashboard: https://gema-soc.maps.arcgis.com/apps/MapSeries/index.html?appid=ce54a035db9f482ea4443be9f14fdf13Source: https://garc.maps.arcgis.com/home/item.html?id=fa322fe8324c4211b2be7433255ebbc0
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This layer shows the total confirmed cases of coronavirus COVID-19 by county in the state of Georgia. The information shown here is updated twice daily at 12:00 pm and 7:00 pm local time from data released by the Georgia Department of Public Health.Staff in the City of Johns Creek then take the report from the GA DPH and update this map layer for use by the public. To see the raw reports released from the Department of Public Health that are used by City of Johns Creek staff, visit this website here.
The counties of Trousdale and Lake – both in Tennessee – had the highest COVID-19 infection rates in the United States as of June 9, 2020. Dakota, Nobles, and Lincoln also ranked among the U.S. counties with the highest number of coronavirus cases per 100,000 people.
Coronavirus hits the East Coast In the United States, the novel coronavirus had infected around 5.4 million people and had caused nearly 170,000 deaths by mid-August 2020. The densely populated states of New York and New Jersey were at the epicenter of the outbreak in the country. New York City, which is composed of five counties, was one of the most severely impacted regions. However, the true level of transmission is likely to be much higher because many people will be asymptomatic or suffer only mild symptoms that are not diagnosed.
All states are in crisis The first coronavirus case in the U.S. was confirmed in the state of Washington in mid-January 2020. At the time, it was unclear how the virus was spreading; we now know that close contact with an infected person and breathing in their respiratory droplets is the primary mode of transmission. It is no surprise that the four states with the most coronavirus cases are those with the highest populations: New York, Texas, Florida, and California. However, Louisiana was the state with the highest COVID-19 infection rate per 100,000 people as of August 24, 2020.
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
The dataset/status report contains COVID-19 confirmed cases, deaths, hospitalizations, and ICU admissions. It also contains COVID-19 testing (number of tests and positive tests both by PCR tests and serology tests). It also includes COVID-19 cases by county and demographics. Data was reported to GA DPH and was compiled by them. The data can be downloaded in CSV format. The data is open access and available to the public.
On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources:Global: World Health Organization (WHO)U.S.: U.S. Centers for Disease Control and Prevention (CDC)For more information, visit the Johns Hopkins Coronavirus Resource Center.This feature layer contains the most up-to-date COVID-19 cases for the US. Data is pulled from the Coronavirus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, the Red Cross, the Census American Community Survey, and the Bureau of Labor and Statistics, and aggregated at the US county level. This web map created and maintained by the Centers for Civic Impact at the Johns Hopkins University, and is supported by the Esri Living Atlas team and JHU Data Services. It is used in the COVID-19 United States Cases by County dashboard. For more information on Johns Hopkins University’s response to COVID-19, visit the Johns Hopkins Coronavirus Resource Center where our experts help to advance understanding of the virus, inform the public, and brief policymakers in order to guide a response, improve care, and save lives.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This dataset contains daily counts of confirmed COVID-19 cases and hospitalizations and death due to COVID-19 segmented by Georgia county. The data come from the Georgia Department of Public Health COVID-19 Dashboard at https://ga-covid19.ondemand.sas.com/.
Feature layer generated from running the Join Features solution
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
This Project Tycho dataset includes a CSV file with COVID-19 data reported in GEORGIA: 2019-12-30 - 2021-07-31. It contains counts of cases and deaths. Data for this Project Tycho dataset comes from: "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team, except for aggregation of individual case count data into daily counts when that was the best data available for a disease and location. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format. All geographic locations at the country and admin1 level have been represented at the same geographic level as in the data source, provided an ISO code or codes could be identified, unless the data source specifies that the location is listed at an inaccurate geographical level. For more information about decisions made by the curation team, recommended data processing steps, and the data sources used, please see the README that is included in the dataset download ZIP file.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This dataset consists of daily number of new COVID-19 cases according to the Georgia Department of Pubic Health (DPH). Included are total new cases and new cases by race along with 7-day and 14-day averages for each. The data are derived from a dataset published by DPH at https://ga-covid19.ondemand.sas.com.
Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:
See the Splitgraph documentation for more information.
NEW CASES PER CAPITAThese trend lines mark the proportion of new cases, normalized by population—useful for showing the local fluctuations of case rates throughout the outbreak. When viewing these local rates across the map, comparative national and regional patterns of transmission emerge.DEATHS PER CAPITAThese trend lines mark the proportion of new covid-19 related deaths, normalized by population. When viewing these local rates across the map, comparative national and regional patterns of transmission emerge. Given the incubation and illness period of the virus, these lines may show a similar pattern to NEW CASES PER CAPITA, though with a time lag.CUMULATIVE CASESThese trend lines track the ongoing cumulative number of cases, normalized by population. Because it is a cumulative count, the lines will never trend downward, except in the event of data-corrective measures (see SOURCES, below).TREND CATEGORY COLORSWhen the Trend Category option is selected, county trend lines are rendered in a color corresponding to their statistically-determined “trend summary”, created by Charlie Frye.SOURCESThese counts are sourced from the Johns Hopkins University CSSE feature service of daily US County Cases since February 22, 2020, and normalized into population-normalized rates using the population attribute also provided in the JHU service. Care has been taken to note, via county tooltip, when state reporting structures have impeded the Johns Hopkins University effort to aggregate this data in an ongoing fashion. Please refer to their frequently asked questions for more context around this data. The Khaki basemap is available via Living Atlas. Learn more about sparklines as a data visualization tool here.CREATORSThis application was created by Jinnan Zhang and John Nelson, of Esri, with help from Yann Cabon and Fang Li, inspired by the trend line maps of Mathieu Rajerison and the local 1918 flu charts of Riley D. Champine. We are not medical professionals but saw a need for a visual sense of local rates and trends and created this primarily as a resource for ourselves but are making it available to the public in the event that it is a helpful resource for understanding patterns. We make no claims of officiality and share it only as a reference. For more geographic resources, please visit the Esri COVID-19 hub.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Records of reported Counts of COVID-19 case counts in Gabon from 2020-2021. Download is a zipped CSV file with readme.
The data includes:
More detailed epidemiological charts and graphs are presented for areas in very high and high local COVID alert level areas.
See regional COVID-19 epidemiological data sets for 23 December.
See the https://www.england.nhs.uk/statistics/statistical-work-areas/covid-19-hospital-activity/" class="govuk-link">detailed data on hospital activity.
See the https://coronavirus.data.gov.uk/?_ga=2.43448994.685856970.1607933075-1070872729.1597161719" class="govuk-link">detailed data on the progress of the coronavirus pandemic.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Data values are averages from the 30 runs. Since the simulation is based on the population of Georgia, and each entity in the simulation represents ten people, all data values recorded are based on one-tenth of the population of Georgia, that is, there are a total of roughly one million people in the simulation. (XLSX)
As of March 10, 2023, the death rate from COVID-19 in the state of New York was 397 per 100,000 people. New York is one of the states with the highest number of COVID-19 cases.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Data values are averages from the 30 runs. The number of children, adults, elderly and total number of people infected on a given day in the simulation is recorded. Since the simulation is based on the population of Georgia, and each entity in the simulation represents ten people, all data values recorded are based on one-tenth of the population of Georgia, that is, there are a total of roughly one million people in the simulation. (XLSX)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Data values are averages from the 30 runs. The various states recorded are susceptible, exposed, pre-symptomatic, symptomatic, asymptomatic, recovered, hospitalized and dead. Since the simulation is based on the population of Georgia, and each entity in the simulation represents ten people, all data values recorded are based on one-tenth of the population of Georgia, that is, there are a total of roughly one million people in the simulation. (XLSX)
https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE
In past 24 hours, Georgia, Asia had N/A new cases, N/A deaths and N/A recoveries.