As of January 13, 2023, Bulgaria had the highest rate of COVID-19 deaths among its population in Europe at 548.6 deaths per 100,000 population. Hungary had recorded 496.4 deaths from COVID-19 per 100,000. Furthermore, Russia had the highest number of confirmed COVID-19 deaths in Europe, at over 394 thousand.

Number of cases in Europe During the same period, across the whole of Europe, there have been over 270 million confirmed cases of COVID-19. France has been Europe's worst affected country with around 38.3 million cases, this translates to an incidence rate of approximately 58,945 cases per 100,000 population. Germany and Italy had approximately 37.6 million and 25.3 million cases respectively.

Current situation In March 2023, the rate of cases in Austria over the last seven days was 224 per 100,000 which was the highest in Europe. Luxembourg and Slovenia both followed with seven day rates of infections at 122 and 108 respectively.

Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

The difficulties of death figures

This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

Where are these numbers coming from?

The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

The data files contain information on the 14-day notification rate of newly reported COVID-19 cases per 100 000 population and the 14-day notification rate of reported deaths per million population by week and country. Each row contains the corresponding data for a certain day and per country. The file is updated weekly.

Disclaimer: The figures in the files may differ slightly from those displayed in the latest ECDC Weekly country overviews in the event of retrospective corrections of the data after the country overview has been published.

If you reuse or enrich this dataset, please share it with us.

The dataset contains information on the 14-day notification rate of newly reported COVID-19 cases per 100 000 population by age group, week and Country.

It is based on data originally downloaded by the site https://www.ecdc.europa.eu/en/covid-19.

Raw data from ECDC, harmonization and homogenization of data from UNIPV - Laboratory of Geomatics

Information of 20 May 2021

As of today, the indicators will be corrected in order to eliminate the double effect, when carrying out several tests by the same person.

Since the beginning of the pandemic, the secure Si-DEP platform has recorded all the results of the tests. In order to guarantee the protection of the personal data of the persons tested, each result was linked to the issue of an anonymised pseudo. However, with the appearance of variants in the territory, some people are required to carry out two tests, so far counted twice.

The algorithm used has therefore recently been updated so that it counts only one patient when tested several times in a short time interval, always respecting anonymity. Thanks to this new pseudonymisation, Santé publique France is able to increase its effectiveness and produce even more accurate data, which can be consulted weekly in its epidemiological point.

Actions of Public Health France

Public Health France’s mission is to improve and protect the health of populations. During the health crisis linked to the COVID-19 outbreak, Santé publique France is responsible for monitoring and understanding the dynamics of the epidemic, anticipating the various scenarios and putting in place actions to prevent and limit the transmission of this virus on national territory.

The Tracking Information System (SI-DEP)

The new Screening Information System (SI-DEP), which has been deployed since 13 May 2020, is a secure platform where the results of the testing laboratories (RT-PCR) carried out by all city and hospital laboratories for SARS-COV2 are systematically recorded.

Description of data

This dataset contains a file with:

— The incidence rate of any age group for each metropolis; — The incidence rate for persons over 65 years of age for each metropolis;

The incidence rate is the number of positive tests per 100,000 inhabitants over 7 slippery days. It shall be calculated as follows: (100000 * number of positive cases)/Population.

Frequency of update of daily data.

For English, see below Dit bestand bevat, naast een kolom met het versienummer en een kolom met de datum van aanmaken van het bestand, de volgende karakteristieken per bemonsterde rioolwaterzuiveringsinstallatie (RWZI) in Nederland: Datum van monster, RWZI code, RWZI naam, Virusvracht per 100,000 inwoners Het bestand is als volgt opgebouwd: Per zuiveringsinstallatie wordt er 24 uur lang een monster genomen van het rioolwater. Deze monsters worden door onderzoekers van het RIVM geanalyseerd op het aantal aanwezige virusdeeltjes. Een record bevat voor elke bemonsterde afval-/rioolwaterzuiveringsinstallatie (AWZI/RWZI) het gemiddelde aantal virusdeeltjes in het rioolwater, gecorrigeerd voor de dagelijkse hoeveelheid rioolwater (debiet) en weergegeven per 100.000 inwoners. Het bestand wordt van maandag tot en met vrijdag ververst (voor 14:00 uur). De informatie over inwonersaantallen per RWZI kunt u vinden in een omzet-tabel, die wordt aangeleverd door het Centraal Bureau voor de Statistiek (CBS). (De versie voor 2021:) (https://www.cbs.nl/nl-nl/maatwerk/2021/06/inwoners-per-rioolwaterzuiveringsinstallatie-1-1-2021) (De versie voor 2022:) (https://www.cbs.nl/nl-nl/maatwerk/2022/42/inwoners-per-rioolwaterzuiveringsinstallatie-1-1-2022) Per 4 maart 2021 zijn een aantal wijzigingen doorgevoerd voor onderstaande RWZI’s. - Per 8 oktober 2020 is RWZI Aalst opgeheven. Het bijbehorende verzorgingsgebied is toegevoegd aan dat van RWZI Zaltbommel. De waarden voor de RNA_flow_per_100000 voor Zaltbommel zijn in het databestand vanaf 4 maart 2021 met terugwerkende kracht gewijzigd tot aan de bovengenoemde opheffingsdatum. Voor de waarden die voor de opheffingsdatum zijn gerapporteerd, zijn voor RWZI Aalst en RWZI Zaltbommel de individuele inwonersaantallen gebruikt die golden voor de opheffing van RWZI Aalst. - Per 9 december 2020 is RWZI Lienden opgeheven. Het bijbehorende verzorgingsgebied is toegevoegd aan dat van RWZI Tiel. De waarden voor RNA_flow_per_100000 voor RWZI Tiel zijn in het databestand vanaf 4 maart 2021 met terugwerkende kracht gewijzigd tot aan de bovengenoemde opheffingsdatum. Voor de waarden die voor de opheffingsdatum zijn gerapporteerd, zijn voor RWZI Lienden en RWZI Tiel de individuele inwonersaantallen gebruikt die golden voor de opheffing van RWZI Lienden. Wijzigingen vanaf 1 januari 2021 zijn verwerkt in de CBS omzet-tabel. Vanaf 30 september 2021 worden wijzigingen in de CBS omzet-tabel verwerkt, zodra ze bekend worden. Vanaf 30 september is de kolom RNA_per_ml uit het open data bestand verwijderd. Waarden die in deze kolom vermeld stonden, zijn omgerekend naar RNA_flow_per_100000 en in die kolom vermeld, voor zover dat mogelijk was. Daarnaast zijn alle waarden van 2021 én 2020 op 30 september 2021 met terugwerkende kracht herberekend met de inwonersaantallen in de CBS tabel die op 30 september 2021 is gepubliceerd. Alle waarden van 2022 zijn op 30 december 2022 met terugwerkende kracht herberekend met de CBS tabel die op 19 oktober 2022 is gepubliceerd. Beschrijving van de variabelen: Version: Versienummer van de dataset. Wanneer de inhoud van de dataset structureel word gewijzigd (dus niet de dagelijkse update of een correctie op record niveau) , zal het versienummer aangepast worden (+1) en ook de corresponderende metadata in RIVMdata (data.rivm.nl). Date_of_report: Datum waarop het bestand aangemaakt is. (formaat: jjjj-mm-dd) Date_measurement: Datum waarop de monstername van het 24-uurs influent (ongezuiverd afval-/rioolwater) monster is gestart (formaat: jjjj-mm-dd). RWZI_AWZI_code: Code van rioolwaterzuiveringsinstallatie (RWZI) of afvalwaterzuiveringsinstallatie (AWZI). RWZI_AWZI_name: Naam van rioolwaterzuiveringsinstallatie (RWZI) of afvalwaterzuiveringsinstallatie (AWZI). RNA_flow_per_100000: De gemiddelde concentratie SARS-CoV-2 RNA, omgerekend naar dagelijkse hoeveelheid rioolwater (debiet) en weergegeven per 100.000 inwoners. -------------------------------------------------------------------------------- Covid-19 National SARS-CoV-2 sewage surveillance This file contains, in addition to a column with the version number and a column with the date of creation of the file, the following characteristics per sampled sewage treatment plant (STP) in the Netherlands: Sample date, STP code, STP name, Virus load per 100,000 inhabitants The file is structured as follows: A sample of the sewage water is taken for 24 hours per treatment plant. These samples are analyzed by RIVM researchers for the number of virus particles present. A record contains the average number of virus particles in the sewage water for each waste/sewage treatment plant (STP) sampled, corrected for the daily amount of sewage water (flow rate) and shown per 100,000 inhabitants. The file is refreshed from Monday to Friday (before 2:00 PM). The information on population numbers per STP can be found in a conversion table, which is supplied by Statistics Netherlands (CBS). (The version for 2021:) (https://www.cbs.nl/nl-nl/maatwerk/2021/06/inwoners-per-rioolwaterzuiveringsinstallatie-1-1-2021) (The version for 2022:) (https://www.cbs.nl/nl-nl/maatwerk/2022/42/inwoners-per-rioolwaterzuiveringsinstallatie-1-1-2022) As of March 4, 2021, a number of changes have been implemented for the STPs below. - As of October 8, 2020, STP Aalst has been closed. The associated catchment area has been added to the STP of Zaltbommel. The values for the RNA_flow_per_100000 for Zaltbommel have been changed in the database from March 4, 2021 retroactively to the aforementioned date of suspension. For the values reported before the closure date, the individual population numbers for STP Aalst and STP Zaltbommel that applied before the closure of STP Aalst were used. - As of December 9, 2020, STP Lienden has been closed. The associated catchment area has been added to the STP of Tiel. The values for RNA_flow_per_100000 for STP Tiel have been changed in the database from March 4, 2021 retroactively to the aforementioned date of suspension. For the values reported before the closure date, the individual population numbers for STP Lienden and STP Tiel that applied before the closure of STP Lienden were used. Changes from 1 January 2021 have been incorporated in the CBS conversion table. From September 30, 2021, changes in the CBS conversion table will be processed as soon as they become known. As of September 30, the column RNA_per_ml has been removed from the open data file. Values reported in this column have been converted to RNA_flow_per_100000 and reported in that column where possible. In addition, all values for 2021 and 2020 were retroactively recalculated on September 30, 2021 with the population numbers in the CBS table published on September 30, 2021. All values for 2022 have been retroactively recalculated on December 30, 2022 using the CBS table published on October 19, 2022. Description of the variables: Version: Version number of the dataset. When the content of the dataset is structurally changed (so not the daily update or a correction at record level), the version number will be adjusted (+1) and also the corresponding metadata in RIVMdata (data.rivm.nl). Date_of_report: Date on which the file was created. (format: yyyy-mm-dd) Date_measurement: Date on which the sampling of the 24-hour influent (raw waste/sewage) sample started (format: yyyy-mm-dd). RWZI_AWZI_code: Code of sewage treatment plant (RWZI in Dutch abbreviation) or waste water treatment plant (AWZI in Dutch abbreviation). RWZI_AWZI_name: Name of sewage treatment plant (RWZI in Dutch abbreviation) or waste water treatment plant (AWZI in Dutch abbreviation). RNA_flow_per_100000: The average concentration of SARS-CoV-2 RNA, converted to daily amount of sewage (flow rate) and displayed per 100,000 inhabitants.

Evolution of new cases detected daily in the last 14 and 7 days. Accumulated incidence (positive cases per 100,000 inhabitants) in the last 14 and 7 days. Data from the Autonomous Community of La Rioja.

This file contains the average number of SARS-CoV-2 virus particles per 100,000 inhabitants per Municipal Health Service (GGD) region, per day, as calculated from measurements of the number of virus particles per sewage treatment plant (RWZI). The file is structured as follows: For each date since 2020-09-07, the number of SARS-CoV-2 virus particles in sewage water per 100,000 inhabitants has been calculated per GGD region. This number is a weighted average of the municipalities that belong to the region in question. For each date, per municipality, the most recent measurement of all WWTPs is weighted according to the number of inhabitants in the municipality served by the relevant WWTP, provided that the most recent measurement is not older than eight days. These values ​​per municipality are summed over the municipalities that belong to a GGD region, and divided by the number of observed inhabitants (i.e., the number of inhabitants in a municipality connected to WWTPs that have a measurement that is less than eight days old). This creates a weighted average for the GGD region expressed per inhabitant. Multiplying this by 100,000 gives the average number of virus particles per region, per date, per 100,000 resident equivalents. If no measurements are available from any of the WWTPs within a GGD region that are more recent than 8 days, the record is “NA”. The file contains all days per GGD region from 2020-09-07 up to and including the most recent date for which a value can be calculated. As a result, the most recent date may vary by region. The figures are calculated on the basis of the municipal classification and classification of GGD regions as they applied on the date of the measurement. Municipal reclassifications are applied on the date of the reclassification. The information on population numbers per WWTP can be found in a turnover table, which is supplied by Statistics Netherlands (CBS). The version for 2020-2021: https://www.cbs.nl/nl-nl/maatwerk/2021/06/inwoners-per-sewage treatment plant-1-1-2021 The version for 2022: https://www.cbs .nl/nl-nl/maatwerk/2022/42/inwoners-per-sewage treatment plant-1-1-2022 You can find out which municipalities fall under a GGD region in the overview of area divisions of Statistics Netherlands (https://www.cbs.nl). nl/nl-nl/dossier/netherlands-regional/geographical-data/cbs-area classifications). All measurements of individual WWTPs on which the GGD region figure is based can be found in the open data set at WWTP record level (https://data.rivm.nl/meta/srv/eng/catalog.search#/metadata/ a2960b68-9d3f-4dc3-9485-600570cd52b9). Description of the variables: Version: Version number of the dataset. When the content of the dataset is structurally changed (so not the daily update or a correction at record level), the version number will be adjusted (+1) and also the corresponding metadata in RIVMdata (data.rivm.nl). Date_of_report: Date on which the file was created (format: yyyy-mm-dd). Date_measurement: Date to which the calculation of the average number of virus particles per 100,000 inhabitants applies (format: yyyy-mm-dd). Region_code: The CBS code of the GGD region. Region_name: Name of the GGD region. RNA_flow_per_100000: The calculated number of SARS-CoV-2 RNA particles measured in the sewage water, based on a weighted average of the measurements at WWTPs that serve the municipalities in the relevant GGD region, shown per 100,000 inhabitants. Because not all measurements are available at the same time, the most recently reported values ​​are subject to change. This may cause differences per publication date of the data. It is also possible that earlier dates are corrected as a result of new laboratory results or corrections in source files of the Water Boards. This file is always based on the most current data.

The highest number of confirmed COVID-19 deaths in the Nordic countries as of October 27, 2024, had occurred in Sweden at 28,006. Finland followed with 11,466 deaths, Denmark with 9,919, and Norway with 5,732. Denmark was the Nordic country with the highest number of people confirmed infected with COVID-19, reaching a total of 3,442,484 cases as of October 27, 2024. More statistics and facts about the virus are available here.

According to a survey conducted in the United Kingdom (UK) in April 2022, 4.13 percent of all people aged between 35 and 49 years reported to be suffering from long COVID symptoms, the highest share across all age groups. Furthermore, around 3.7 percent of the population aged 50 to 69 years were estimated to suffer from long COVID. Overall, around 863 thousand people in the UK reported their ability to undertake daily activities and routines was affected a little by long COVID symptoms.

Present state of COVID-19 As of May 2022, over 22 million COVID-19 cases had been reported in the UK. The largest surge of cases was noted over the winter period 2021/22. The incidence of cases in the county since the pandemic began stood at around 32,624 per 100,000 population. Cyprus had the highest incidence of COVID-19 cases among its population in Europe at 75,798 per 100,000 people, followed by a rate of 51,573 in Iceland. Over 175 thousand COVID-19 deaths have been reported in the UK. The deadliest day on record was January 20, 2021, when 1,820 deaths were recorded. In the UK, a COVID-19 death is defined as a person who died within 28 days of a positive test.

Preventing long COVID through vaccination According to the WHO, being fully vaccinated alongside a significant proportion of the population also vaccinated is the best way to avoid the spread of COVID-19 or serious symptoms associated with the virus. It is therefore regarded that receiving a vaccine course as well as subsequent booster vaccines limits the chance of developing long COVID symptoms. As of April 27, 2022, around 53.2 million first doses, 49.7 million second doses, and 39.2 booster doses had been administered in the UK.

Datafilerne indeholder oplysninger om indberetningsfrekvensen på 14 dage for nyligt indberettede covid-19-tilfælde pr. 100 000 indbyggere pr. uge og subnational region. Hver række indeholder de tilsvarende data for en bestemt uge og subnational region.

Bemærk, at daglige data om sager pr. subnational region også er tilgængelige for udvalgte lande på siden "Download data om den daglige indberetningsrate på subnationale 14 dage i forbindelse med nye covid-19-tilfælde". Der kan være forskelle mellem de satser, der vises i disse to datasæt, da de er baseret på forskellige datakilder.

Filen opdateres ugentligt hver onsdag.

Hvis du genbruger eller beriger dette datasæt, bedes du share det med os.

Súbor s údajmi, ktorý je možné stiahnuť, obsahuje informácie o 14-dňovej miere oznamovania nových prípadov na 100 000 obyvateľov v prípade ochorenia COVID-19 podľa dňa a regiónu na nižšej ako celoštátnej úrovni. Každý riadok obsahuje zodpovedajúce údaje za určitý deň a za región na nižšej ako celoštátnej úrovni.

Upozorňujeme, že denné údaje o prípadoch podľa regiónov na nižšej ako celoštátnej úrovni nie sú k dispozícii za všetky krajiny. Týždenné údaje o nových prípadoch podľa regiónov na nižšej ako celoštátnej úrovni za všetky krajiny EÚ/EHP možno nájsť na adrese týždenná 14-dňová miera oznamovania nových prípadov ochorenia COVID-19 na nižšej ako celoštátnej úrovni.Môžu existovať rozdiely medzi mierami uvedenými v týchto dvoch súboroch údajov, pretože sú založené na rôznych zdrojoch údajov.

Súbor sa aktualizuje týždenne.

Ak znovu použijete alebo obohatíte tento súbor údajov, prosím share s nami.
_Súbor s údajmi, ktorý je možné stiahnuť, obsahuje informácie o 14-dňovej miere oznamovania nových prípadov na 100 000 obyvateľov v prípade ochorenia COVID-19 podľa dňa a regiónu na nižšej ako celoštátnej úrovni. Každý riadok obsahuje zodpovedajúce údaje za určitý deň a za región na nižšej ako celoštátnej úrovni.

Upozorňujeme, že denné údaje o prípadoch podľa regiónov na nižšej ako celoštátnej úrovni nie sú k dispozícii za všetky krajiny. Týždenné údaje o nových prípadoch podľa regiónov na nižšej ako celoštátnej úrovni za všetky krajiny EÚ/EHP možno nájsť na adrese týždenná 14-dňová miera oznamovania nových prípadov ochorenia COVID-19 na nižšej ako celoštátnej úrovni.Môžu existovať rozdiely medzi mierami uvedenými v týchto dvoch súboroch údajov, pretože sú založené na rôznych zdrojoch údajov.

Súbor sa aktualizuje týždenne.

Ak znovu použijete alebo obohatíte tento súbor údajov, prosím share s nami.

Fișierul de date care poate fi descărcat conține informații cu privire la rata de notificare pe 14 zile a cazurilor nou raportate de COVID-19 per 100 000 de locuitori în funcție de grupa de vârstă, săptămână și țară. Fiecare rând conține datele corespunzătoare pentru o anumită săptămână și țară. Fișierul este actualizat săptămânal. _
Dacă reutilizați sau îmbogățiți acest set de date, vă rugăm să partajați.

_ Fiecare rând conține datele corespunzătoare pentru o anumită săptămână și țară.Fișierul este actualizat săptămânal.

Dacă reutilizați sau îmbogățiți acest set de date, vă rugăm să partajați.

After entering Italy, the coronavirus (COVID-19) spread fast. The strict lockdown implemented by the government during the Spring 2020 helped to slow down the outbreak. However, the country had to face four new harsh waves of contagion. As of January 1, 2025, the total number of cases reported by the authorities reached over 26.9 million. The north of the country was mostly hit, and the region with the highest number of cases was Lombardy, which registered almost 4.4 million of them. The north-eastern region of Veneto and the southern region of Campania followed in the list. When adjusting these figures for the population size of each region, however, the picture changed, with the region of Veneto being the area where the virus had the highest relative incidence. Coronavirus in Italy Italy has been among the countries most impacted by the coronavirus outbreak. Moreover, the number of deaths due to coronavirus recorded in Italy is significantly high, making it one of the countries with the highest fatality rates worldwide, especially in the first stages of the pandemic. In particular, a very high mortality rate was recorded among patients aged 80 years or older. Impact on the economy The lockdown imposed during the Spring 2020, and other measures taken in the following months to contain the pandemic, forced many businesses to shut their doors and caused industrial production to slow down significantly. As a result, consumption fell, with the sectors most severely hit being hospitality and tourism, air transport, and automotive. Several predictions about the evolution of the global economy were published at the beginning of the pandemic, based on different scenarios about the development of the pandemic. According to the official results, it appeared that the coronavirus outbreak had caused Italy’s GDP to shrink by approximately nine percent in 2020.

Over 340 million tests for coronavirus (COVID-19) were conducted in Russia as of the end of July 2023. Russia had fifth-largest number of COVID-19 tests performed worldwide and the third largest in Europe. Russia’s COVID-19 testing rate per one million population was lower than in several other European countries and the United States.

COVID-19 test systems in Russia The State Research Center of Virology and Biotechnology Vector, located in Novosibirsk, developed test systems able to identify the RNA of the SARS-CoV-2 based on the polymerase chain reaction (PCR) in end-January 2020. Prior to March 20, 2020, test samples from all over the country had to be sent to Vector for verification. After that date, a positive test confirmed in the regional laboratories became sufficient to diagnose COVID-19. State-funded and private laboratories across the country could apply to for a permission to become COVID-19 testing centers. As of February 2, 2023, a total of 1,263 such labs operated in Russia.

Scale of COVID-19 testing in Russia Most COVID-19 tests in Russia were conducted in Moscow, which also had the largest count of infected population since the outbreak of the disease. The testing capacity per 100 thousand population was the highest in the Sverdlovsk Oblast. Starting from July 16, 2020, Moscow introduced a free of charge mass COVID-19 testing in more than 200 centers. Furthermore, citizens of the Russian capital could get a free public antibody test. In mid-July, Russia imposed mandatory COVID-19 testing on arrival for nationals and foreign citizens.

On January 25, 2022, the Transportation Security Administration (TSA) screened almost 1.06 million passengers at U.S. airports, compared with 468,933 passengers screened in the same weekday one year earlier. Passenger aviation and the coronavirus As a response to the novel coronavirus (COVID-19) outbreak, since the beginning of 2020 more and more countries across the globe shut down borders, thus cancelling all international flights to contain the spread of the virus. In April 2020, revenue passenger kilometers (RPK) declined by 98.4 percent on all international routes. Similarly, compared to the previous year, airlines decreased their capacity by roughly 90 percent in Europe during the second quarter of 2020. In short, the estimated loss caused by COVID-19 outbreak is at least over 98 billion U.S. dollars for the first half of 2020. Airlines after the COVID-19 Before the COVID-19 paralyzed the world economy, countries and organizations were over-optimistic, even while the COVID-19 was emerging in China. Despite all efforts, COVID-19 became a deep-rooted health crisis that will presumably lead to a massive economic crisis. This may lead to permanent changes in the economic structure, for instance requiring a more resilient financial balance of airline groups. Even before the coronavirus pandemic, some of the largest airline groups had concerning financial balances. For example, American Airlines had a total debt to EBITDA (earnings before interest, taxes, depreciation and amortization) ratio equivalent to 4.04. When the coronavirus hit, those companies with the least sustainable financial balances were hit the worst. A similar pattern existed also for many European airline groups. Norwegian Airlines had enough liquid assets to sustain its fixed business costs covered only for 26 days. Therefore, companies with similar business model necessarily needed government support.

In 2022, the most common cause of death in Sweden was diseases of the circulatory system. More than 28,000 people died because of these diseases. Cancer was the second most common cause of death in Sweden. Furthermore, diseases of the respiratory system caused over 6,000 deaths in Sweden in 2022.

Ischemic heart disease most common cause

Chronic ischemic heart disease is the circulation system disease that causes the most number of deaths. When ischemic heart disease occurs, the arteries of the heart are blocked and the blood flow to the heart muscle is reduced. Heart attacks caused the second most deaths of the circulatory system diseases.

 COVID-19

From 2019 to 2020, the total number of deaths in Sweden increased by around 10,000, almost reaching 100,000 in total. This can be explained by the more than 9,400 deaths caused by the coronavirus (COVID-19). At the beginning of the pandemic, the Swedish government tried a different approach than most other European countries, avoiding strict lockdowns and regulations. However, it has recorded a higher number of deaths and cases than the other Nordic countries. As of January 2023, nearly 23,000 people had died of COVID-19 in Sweden.