COVID cases and deaths for LA County and California State. Updated daily. Data source: Johns Hopkins University (https://coronavirus.jhu.edu/us-map), Johns Hopkins GitHub (https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_US.csv). Code available: https://github.com/CityOfLosAngeles/covid19-indicators.

Note: On April 30, 2024, the Federal mandate for COVID-19 and influenza associated hospitalization data to be reported to CDC’s National Healthcare Safety Network (NHSN) expired. Hospitalization data beyond April 30, 2024, will not be updated on the Open Data Portal. Hospitalization and ICU admission data collected from summer 2020 to May 10, 2023, are sourced from the California Hospital Association (CHA) Survey. Data collected on or after May 11, 2023, are sourced from CDC's National Healthcare Safety Network (NHSN).

Data is from the California Department of Public Health (CDPH) Respiratory Virus State Dashboard at https://www.cdph.ca.gov/Programs/CID/DCDC/Pages/Respiratory-Viruses/RespiratoryDashboard.aspx.

Data are updated each Friday around 2 pm.

For COVID-19 death data: As of January 1, 2023, data was sourced from the California Department of Public Health, California Comprehensive Death File (Dynamic), 2023–Present. Prior to January 1, 2023, death data was sourced from the COVID-19 case registry. The change in data source occurred in July 2023 and was applied retroactively to all 2023 data to provide a consistent source of death data for the year of 2023. Influenza death data was sourced from the California Department of Public Health, California Comprehensive Death File (Dynamic), 2020–Present.

COVID-19 testing data represent data received by CDPH through electronic laboratory reporting of test results for COVID-19 among residents of California. Testing date is the date the test was administered, and tests have a 1-day lag (except for the Los Angeles County, which has an additional 7-day lag). Influenza testing data represent data received by CDPH from clinical sentinel laboratories in California. These laboratories report the aggregate number of laboratory-confirmed influenza virus detections and total tests performed on a weekly basis. These data do not represent all influenza testing occurring in California and are available only at the state level.

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.

Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will receive a final update on June 1, 2023, to reconcile historical data through May 10, 2023, and will remain publicly available.

This archived public use dataset contains historical case and percent positivity data updated weekly for all available counties and jurisdictions. Each week, the dataset was refreshed to capture any historical updates. Please note, percent positivity data may be incomplete for the most recent time period.

Related data CDC provides the public with two active versions of COVID-19 county-level community transmission level data: this dataset with historical case and percent positivity data for each county from January 22, 2020 (Weekly Historical Changes dataset) and a dataset with the levels as originally posted (Weekly Originally Posted dataset) since October 20, 2022. Please navigate to the Weekly Originally Posted dataset for the Community Transmission Levels published weekly on Thursdays.

Methods for calculating county level of community transmission indicator The County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and here). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making.

CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2 Total New Case Rate Metric: "New cases per 100,000 persons in the past 7 days" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. "New cases per 100,000 persons in the past 7 days" is considered to have transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00).

Test Percent Positivity Metric: "Percentage of positive NAAT in the past 7 days" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests resulted over the last 7 days. "Percentage of positive NAAT in the past 7 days" is considered to have transmission level of Low (less than 5.00); Moderate (5.00-7.99); Substantial (8.00-9.99); and High (greater than or equal to 10.00).

The data in this dataset are considered provisional by CDC and are subject to change until the data are reconciled and verified with the state and territorial data providers.

This dataset is created using CDC’s Policy on Public Health Research and Nonresearch Data Management and Access.

Archived data CDC has archived two prior versions of these datasets. Both versions contain the same 7 data elements reflecting community transmission levels for all available counties and jurisdictions; however, the datasets updated daily. The archived datasets can be found here:

Archived Originally Posted dataset

Archived Historical Changes dataset

Archived Data Notes:

October 27, 2022: Due to a processing issue this dataset will not be posted this week. CDC is currently working to address the issue and will publish the data when able.

November 10, 2022: As of 11/10/2022, this dataset will continue to incorporate historical updates made to case and percent positivity data; however, community transmission level will only be published in the corresponding Weekly COVID-19 County Level of Community Transmission as Originally Posted dataset (Weekly Originally Posted dataset).

Note:

October 20, 2022: Due to a data reporting error, the case rate for Philadelphia County, Pennsylvania is lower than expected in the COVID-19 Community Transmission Level data released on October 20, 2022. This could lead to the COVID-19 Community Transmission Level for Philadelphia County being underestimated; therefore, it should be interpreted with caution.

November 3, 2022: Due to a reporting cadence issue, case rates for Missouri counties are calculated based on 11 days’ worth of case count data in the COVID-19 Community Transmission Level data released on November 3, 2022, instead of the customary 7 days’ worth of data. This could lead to the COVID-19 Community Transmission Levels metrics for Missouri counties being overestimated; therefore, they should be interpreted with caution.

November 10, 2022: Due to a reporting cadence change, case rates for Alabama counties are calculated based on 13 days’ worth of case count data in the COVID-19 Community Transmission Level data released on November 10, 2022, instead of the customary 7 days’ worth of data. This could lead to the COVID-19 Community Transmission Levels metrics for Alabama counties being overestimated; therefore, they should be interpreted with caution.

November 10, 2022: Per the request of the jurisdiction, cases among non-residents have been removed from all Hawaii county totals throughout the entire time series. Cumulative case counts reported by CDC will no longer match Hawaii’s COVID-19 Dashboard, which still includes non-resident cases. 

November 10, 2022: In the COVID-19 Community Transmission Level data released on November 10, 2022, multiple municipalities in Puerto Rico are reporting higher than expected increases in case counts. CDC is working with territory officials to verify the data submitted. 

December 1, 2022: Due to cadence changes over the Thanksgiving holiday, case rates for all Ohio counties are reported as 0 in the COVID-19 Community Transmission Level data released on December 1, 2022. Therefore, the COVID-19 Community Transmission Levels may be underestimated and should be interpreted with caution. 

December 22, 2022: Due to an internal revision process, case rates for some Tennessee counties may appear higher than expected in the December 22, 2022, weekly release. Therefore, the COVID-19 Community Transmission Levels metrics for some Tennessee counties may be overestimated and should be interpreted with caution.

December 22, 2022: Due to reporting of a backlog of historic COVID-19 cases, case rates for some Louisiana counties will appear higher than expected in the December 22, 2022, weekly release. Therefore, the COVID-19 Community Transmission Levels metrics for some Louisiana counties may be overestimated and should be interpreted with caution.

December 29, 2022: Due to technical difficulties, county data from Alabama could not be incorporated via standard practices. As a result, case and death metrics will be reported as 0 in the December 29, 2022, weekly release. Therefore, the COVID-19 Community Transmission Levels metrics for Alabama counties will be underestimated and should be interpreted with caution.

January 5, 2023: Due to a reporting cadence issue, case rates for all Alabama counties will be calculated based on 14 days’ worth of case count data in the COVID-19 Community Transmission Level information released on January 5, 2023, instead of the customary 7 days’ worth of case count data. Therefore, the weekly case rates will be overestimated, which could affect counties’ COVID-19 Community Transmission Level classification and should be interpreted with caution.

January 5, 2023: Due to North Carolina’s holiday reporting cadence, aggregate case data will contain 14 days’ worth of data instead of the customary 7 days. As a result, case metrics will appear higher than expected in the January 5, 2023, weekly release. COVID-19 Community Transmission metrics may be overestimated and should be interpreted with caution.

January 12, 2023: Due to data processing delays, Mississippi’s aggregate case data will be reported as 0. As a result, case metrics will appear lower than expected in the January 12, 2023, weekly release. COVID-19 Community Transmission metrics may be underestimated and should be interpreted with caution. 

January 13, 2023: Aggregate case data released for Los Angeles County, California for the week of December 22nd, 2022, and December 29th, 2022, have been corrected for a data processing error.

January 19, 2023: Due to a reporting cadence issue, Mississippi’s aggregate case data will be calculated based on 14 days’ worth of data instead of the customary 7 days in the January 19, 2023, weekly release. Therefore, COVID-19 Community Transmission metrics may be overestimated and should be interpreted with caution.

January 26, 2023: Due to a reporting backlog of historic COVID-19 cases, case rates for two Michigan counties

Data is from the California Department of Public Health (CDPH) Respiratory Virus Weekly Report.

The report is updated each Friday.

Laboratory surveillance data: California laboratories report SARS-CoV-2 test results to CDPH through electronic laboratory reporting. Los Angeles County SARS-CoV-2 lab data has a 7-day reporting lag. Test positivity is calculated using SARS-CoV-2 lab tests that has a specimen collection date reported during a given week.

Laboratory surveillance for influenza, respiratory syncytial virus (RSV), and other respiratory viruses (parainfluenza types 1-4, human metapneumovirus, non-SARS-CoV-2 coronaviruses, adenovirus, enterovirus/rhinovirus) involves the use of data from clinical sentinel laboratories (hospital, academic or private) located throughout California. Specimens for testing are collected from patients in healthcare settings and do not reflect all testing for influenza, respiratory syncytial virus, and other respiratory viruses in California. These laboratories report the number of laboratory-confirmed influenza, respiratory syncytial virus, and other respiratory virus detections and isolations, and the total number of specimens tested by virus type on a weekly basis.

Test positivity for a given week is calculated by dividing the number of positive COVID-19, influenza, RSV, or other respiratory virus results by the total number of specimens tested for that virus. Weekly laboratory surveillance data are defined as Sunday through Saturday.

Hospitalization data: Data on COVID-19 and influenza hospital admissions are from Centers for Disease Control and Prevention’s (CDC) National Healthcare Safety Network (NHSN) Hospitalization dataset. The requirement to report COVID-19 and influenza-associated hospitalizations was effective November 1, 2024. CDPH pulls NHSN data from the CDC on the Wednesday prior to the publication of the report. Results may differ depending on which day data are pulled. Admission rates are calculated using population estimates from the P-3: Complete State and County Projections Dataset provided by the State of California Department of Finance (https://dof.ca.gov/forecasting/demographics/projections/). Reported weekly admission rates for the entire season use the population estimates for the year the season started. For more information on NHSN data including the protocol and data collection information, see the CDC NHSN webpage (https://www.cdc.gov/nhsn/index.html).

CDPH collaborates with Northern California Kaiser Permanente (NCKP) to monitor trends in RSV admissions. The percentage of RSV admissions is calculated by dividing the number of RSV-related admissions by the total number of admissions during the same period. Admissions for pregnancy, labor and delivery, birth, and outpatient procedures are not included in total number of admissions. These admissions serve as a proxy for RSV activity and do not necessarily represent laboratory confirmed hospitalizations for RSV infections; NCKP members are not representative of all Californians.

Weekly hospitalization data are defined as Sunday through Saturday.

Death certificate data: CDPH receives weekly year-to-date dynamic data on deaths occurring in California from the CDPH Center for Health Statistics and Informatics. These data are limited to deaths occurring among California residents and are analyzed to identify influenza, respiratory syncytial virus, and COVID-19-coded deaths. These deaths are not necessarily laboratory-confirmed and are an underestimate of all influenza, respiratory syncytial virus, and COVID-19-associated deaths in California. Weekly death data are defined as Sunday through Saturday.

Wastewater data: This dataset represents statewide weekly SARS-CoV-2 wastewater summary values. SARS-CoV-2 wastewater concentrations from all sites in California are combined into a single, statewide, unit-less summary value for each week, using a method for data transformation and aggregation developed by the CDC National Wastewater Surveillance System (NWSS). Please see the CDC NWSS data methods page for a description of how these summary values are calculated. Weekly wastewater data are defined as Sunday through Saturday.

Objectives: Studies of household transmission of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) focused on households with children are limited. We investigated household secondary attack rate (SAR), transmission dynamics, and contributing factors in households with children.Materials and Methods: In this prospective case-ascertained study in Los Angeles County, California, all households members were enrolled if ≥1 member tested positive for SARS-CoV-2 by polymerase chain reaction (PCR). Nasopharyngeal PCRs, serology, and symptom data were obtained over multiple visits.Results: A total of 489 individuals in 105 households were enrolled from June to December 2020. The majority (77.3%) reported a household annual income of

Ce jeu présente le portrait quotidien du nombre de cas confirmés de COVID-19 au Québec. Note importante : Depuis le 12 avril 2023, la source de données des décès attribuables à la COVID-19 a été modifiée. Les données sont mises à jour hebdomadairement. Les cas et décès ayant eu lieu le dimanche, lundi et mardi précédent la mise en ligne du mercredi ne sont pas disponibles. Veuillez consulter les notes méthodologiques pour plus de détails.

Cet ensemble de données compile les données sur les cas confirmés de nouveau coronavirus 2019 (COVID-19) en Ontario communiquées par les bureaux de santé publique.

Apprenez comment le gouvernement de l'Ontario contribue à la sécurité des Ontariens pendant l’épidémie du nouveau coronavirus 2019 en Ontario.

Les données comprennent :

• date d’apparition approximative;
• groupe d’âge;
• sexe du patient;
• information sur le mode d’exposition;
• résultat pour le patient;
• bureau de santé publique (BSP) source;
• code postal, site Web, longitude et latitude du BSP.

Cet ensemble de données pourrait changer. Veuillez consulter rapport quotidien sur l’état des cas en Ontario pour vous renseigner sur les variables, la méthodologie et les considérations techniques.

Notes supplémentaires

Ces données ne sont plus disponibles sur cette page. Des informations sur la COVID-19 et d’autres virus respiratoires sont disponibles via l’outil « Ontario Respiratory Virus Tool » de Santé publique Ontario.

Le 30 novembre 2023, le nombre de décès dus à la COVID-19 a été mis à jour afin d’inclure les décès manquants du 15 janvier 2020 au 31 mars 2023. Cela a un impact sur les données saisies dans la colonne « Résultat 1 ».

En raison de changements relatifs à la disponibilité des données, les variables qui suivent seront retirées de ce dossier à compter du jeudi 13 avril 2023 : “Case_AcquisitionInfo”, “Outbreak_Related”. Également en raison de changements relatifs à la disponibilité des données, la variable “Outcome1” équivaudra à “Fatal” (décès causés par la COVID-19) ou à une valeur vide (tous les autres cas). 

La méthodologie utilisée pour compter les décès liés à la COVID-19 a changé afin d’exclure les décès non causés par la COVID. Cela a un impact sur les données saisies dans la colonne « Résultat 1 » pour les données affichées dans le catalogue à partir du 11 mars 2022.

Le Système GCC est un système de déclaration des maladies dynamique, qui permet des mises à jour continues des données saisies précédemment. Par conséquent, les renseignements tirés du système représentent un instantané au moment de leur extraction et peuvent être différents de rapports précédents ou ultérieurs. Les bureaux de santé publique nettoient continuellement les données sur la COVID-19, en corrigeant les cas et les décès manquants ou en trop. Ces corrections peuvent entraîner des pics de données, des chiffres négatifs et des totaux actuels différents des nombres de cas et de décès signalés précédemment. Les tendances observées au fil du temps doivent être interprétées avec prudence pour la période la plus récente en raison des délais de déclaration ou de saisie des données. Sauf indication contraire, les données précédemment déclarées peuvent changer à mesure que les bureaux de santé publique mettent les données à jour.

Ensemble de données associé

• État des cas du COVID-19 en Ontario

Chaque jour, les écoles, les centres de garde d’enfants et les agences agréées de garde d’enfants en milieu familial signalent au ministère de l’Éducation les cas positifs de COVID-19 recensés chez les enfants, les élèves et les membres du personnel.

Si vous remarquez une différence entre les données fournies sur cette page et les données publiées par un bureau de santé publique, nous vous conseillons de vous fier aux données publiées par le bureau de santé publique, qui sont les plus à jour.

Les centres de garde d’enfants et les agences de garde d’enfants en milieu familial agréés doivent signaler au ministère de l’Éducation toute fermeture d’un centre au moyen du Système de gestion des permis des services de garde d’enfants. Les données sont extraites du système en date de la veille à 12 h.

Cet ensemble de données pourrait changer.

Les données sont actualisées en semaine seulement, exclusion faite des jours fériés.

À compter du 15 juin, 2022, le personnel des conseils scolaires ne sera pas tenu de signaler les absences des élèves/du personnel dans l’Outil de signalement des absences. Le ministère ne publiera plus les taux d'absence ou les fermetures d'écoles ou de garderies sur Ontario.ca pour le reste de l'année scolaire.

Apprenez comment le gouvernement de l'Ontario contribue à la sécurité des Ontariens pendant l’épidémie du nouveau coronavirus 2019 en Ontario.

Sommaire des cas recensés dans les milieux de garde d’enfants agréés

Ces données fournissent un sommaire de l’activité de la COVID-19 en Ontario dans :

• les centres de garde d’enfants agréés
• les agences de garde d’enfants en milieu familial

Les données comprennent :

• Cas confirmés au sein d’un centre de garde ou d’un centre de garde en milieu familial
• Cas recensés chez un enfant au sein d’un centre de garde
• Cas recensés chez un membre du personnel au sein d’un centre de garde
• Centres de garde fermés
• Centres de garde en milieu familial fermés

Remarque : dans certains cas, le type de cas n’est pas identifié pour des raisons de confidentialité.

Centres de garde d’enfants et agences agréés ayant des cas actifs de COVID-19

Le tableau ci-dessous répertorie les centres de garde d’enfants et les agences de garde d’enfants en milieu familial ayant actuellement un ou plusieurs cas actifs de COVID-19.

Les données comprennent :

• Centre de garde d’enfants ou agence de services de garde en milieu familial
• Ville
• Cas confirmés chez un enfant
• Cas confirmés chez un membre du personnel ou un fournisseur
• Nombre total de cas

Remarque : Le nombre total de cas confirmés peut comprendre d’autres personnes (par exemple, des parents ou d’autres personnes qui vivent au sein du centre de garde en milieu familial). Le nombre de cas confirmés chez un enfant ou un membre du personnel pourrait donc ne pas être égal au nombre total de cas confirmés.

This file contains data regarding a 7-day average of the estimated instantaneous reproduction number, R(t), of COVID-19 in Ottawa. The reproduction number, R, is the average number of secondary cases of disease caused by a single infected individual over his or her infectious period. R(t) values greater than 1 indicate the virus is spreading faster and each case infects more than one contact, and less than 1 indicates the spread is slowing and the epidemic is coming under control.

R(t) was calculated using the EpiEstim package, developed by Cori et al. (2013; DOI: 10.1093/aje/kwt133), in the R software environment for statistical computing and graphics. Accurate episode date was used as the time anchor and cases were assigned as having a local or travel-related source of infection.

Accuracy: Points of consideration for interpretation of the data: Data are entered into and extracted by Ottawa Public Health from la Solution de gestion des cas et des contacts pour la santé publique (Solution GCC). The CCM is a dynamic disease reporting system that allows for ongoing updates; data represent a snapshot at the time of extraction and may differ from previous or subsequent reports.As the cases are investigated and more information is available, the dates are updated.A person’s exposure may have occurred up to 14 days prior to onset of symptoms. Symptomatic cases occurring in approximately the last 14 days are likely under-reported due to the time for individuals to seek medical assessment, availability of testing, and receipt of test results.Confirmed cases are those with a confirmed COVID-19 laboratory result as per the Ministry of Health Public health management of cases and contacts of COVID-19 in Ontario. March 25, 2020 version 6.0.Counts will be subject to varying degrees of underreporting due to a variety of factors, such as disease awareness and medical care seeking behaviours, which may depend on severity of illness, clinical practice, changes in laboratory testing, and reporting behaviours.Surveillance testing for COVID-19 began in long term care facilities on April 25, 2020. Attributes: Data fields: Date – the earliest of symptom onset, test or reported date for cases (YYYY-MM-DD H:MM).Lower Bound - 95% Confidence Interval - lower bound of the 95% confidence interval for the 7-day average of the R(t) estimate. Upper Bound - 95% Confidence Interval - upper bound of the 95% confidence interval for the 7-day average of the R(t) estimate.Estimate of R(t) (7 Day Average) - 7-day average of the estimated instantaneous reproduction number, R(t), of COVID-19 in Ottawa. Nowcasting Adjusted Cases by Episode Date – number of Ottawa residents with confirmed COVID-19 by episode date. Counts for the most recent 14 days represent a nowcasting adjusted estimate developed by R. Imgrund in 2020. The model uses linear regression to estimate the number of future cases expected to have an accurate episode date within that 14-day window. Update Frequency: As of March 2022, the dataset is no longer updated. Historical data only. Contact: OPH Epidemiology Team

This file contains COVID-19 death counts and rates by month and year of death, jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). United States death counts and rates include the 50 states, plus the District of Columbia. Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file. Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death. Death counts should not be compared across jurisdictions. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington. Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf). Rate are based on deaths occurring in the specified week and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly) rate prevailed for a full year. Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).

État des cas du COVID-19 en Ontario Cet ensemble de données compile les portraits quotidiens des données sur les analyses liées à le nouveau coronavirus 2019 (COVID-19) en Ontario communiquées au public. Apprenez comment le gouvernement de l'Ontario contribue à la sécurité des Ontariens pendant l’épidémie du nouveau coronavirus 2019 en Ontario. À compter du 13 avril 2023, cet ensemble de données ne sera plus utilisé. Le public peut continuer d’accéder aux données contenues dans cet ensemble de données aux emplacements qui suivent mis à jour chaque semaine dans le Catalogue de données ouvertes de l’Ontario : * Taux de séropositivité au test de dépistage de la COVID-19 de l’Ontario par groupe d’âge * Les cas positifs confirmés du COVID-19 en Ontario * Mesures de dépistage de la COVID-19 en Ontario par bureaux de santé publique * Taux de séropositivité au test de dépistage de la COVID-19 de l’Ontario par groupe d’âge * Cas de COVID-19 à l'hôpital et USI, par région de Santé Ontario (SO) * Décès cumulés (nouvelle méthodologie) * Décès associés à la COVID-19 par type de décès Pour des renseignements sur les données concernant la COVID-19 dans les foyers de soins de longue durée, veuillez visiter : Données sur la COVID-19 dans les foyers de soins de longue durée. Les données comprennent : * date de publication ; * analyses réalisées en une journée ; * total des analyses réalisées ; * résultats des analyses ; * total des résultats des cas (réglés et décès) ; * analyses en cours actuellement; * hospitalisations actuelles ; * patients actuellement en unité de soins intensifs (USI) en raison d’une maladie grave en lien avec la COVID-19 ; * patients actuellement en unité de soins intensifs (USI) qui obtiennent un résultat positif au test de dépistage de la COVID-19 ; * patients actuellement en unité de soins intensifs (USI) qui n’obtiennent plus de résultat positif au test de dépistage de la COVID-19 ; * patients actuellement en unité de soins intensifs (USI) et utilisant un respirateur en raison d’une maladie grave en lien avec la COVID-19 ; * patients actuellement en unité de soins intensifs (USI) et utilisant un respirateur qui obtiennent un résultat positif au test de dépistage de la COVID-19 ; * patients actuellement en unité de soins intensifs (USI) et utilisant un respirateur qui n’obtiennent plus de résultat positif au test de dépistage de la COVID-19 ; * Total des cas et des décès des résidents et des travailleurs des soins de longue durée COVID-19 * totaux de cas de variantes du virus COVID-19 préoccupantes ; * nombre de nouveaux décès déclarés (survenus au cours du dernier mois) ; * nombre de décès historiques déclarés (survenus il y a plus d’un mois) ; * changement du nombre de cas depuis la veille par Emplacement des bureaux de santé publique (BSP) Cet ensemble de données pourrait changer. Veuillez consulter rapport quotidien sur l’état des cas en Ontario pour vous renseigner sur les variables, la méthodologie et les considérations techniques. ##Décès cumulés **À compter du 14 novembre 2024 cette page ne sera plus mise à jour. Des renseignements concernant la COVID-19 et d’autres virus respiratoires sont fournis dans l’outil de surveillance des virus respiratoires interactif de Santé publique Ontario : https://www.publichealthontario.ca/fr/data-and-analysis/infectious-disease/respiratory-virus-tool ** La méthodologie utilisée pour compter les décès liés à la COVID-19 a changé afin d’exclure les décès non causés par la COVID. Cela a un impact sur les données saisies dans les colonnes « Deaths », « Deaths_Data_Cleaning » et « newly_reported_deaths » à commencer par les données du 11 mars 2022. Une nouvelle colonne « Deaths_New_Methodology » a été ajoutée au fichier. Elle reflète ce changement méthodologique. La méthode utilisée pour dénombrer les décès liés à la COVID-19 a changé et sera en vigueur à compter du 1er décembre 2022. Avant le 1er décembre 2022, les décès étaient dénombrés en fonction de la date à laquelle les décès étaient mis à jour dans le système du bureau de santé publique. Dorénavant, les décès seront dénombrés à la date à laquelle ils surviennent. Le 30 novembre 2023, le nombre de décès dus à la COVID-19 a été mis à jour afin d’inclure les décès manquants du 15 janvier 2020 au 31 mars 2023. Un petit nombre de décès liés à la COVID (moins de 20) n’ont pas de date de décès consignée et seront exclus de ce fichier. Le Système GCC est un système de déclaration des maladies dynamique, qui permet des mises à jour continues des données saisies précédemment. Par conséquent, les renseignements tirés du système représentent un instantané au moment de leur extraction et peuvent être différents de rapports précédents ou ultérieurs. Les bureaux de santé publique nettoient continuellement les données sur la COVID-19, en corrigeant les cas et les décès manquants ou en trop. Ces corrections peuvent entraîner des pics de données, des chiffres négatifs et des totaux actuels différents des nombres de cas et de décès signalés précédemment. Les tendances observées au fil du temps doivent être interprétées avec prudence pour la période la plus récente en raison des délais de déclaration ou de saisie des données. Sauf indication contraire, les données précédemment déclarées peuvent changer à mesure que les bureaux de santé publique mettent les données à jour. ##Ensemble de données associé * Les cas positifs confirmés du COVID-19 en Ontario