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.

Between the beginning of January 2020 and June 14, 2023, of the 1,134,641 deaths caused by COVID-19 in the United States, around 307,169 had occurred among those aged 85 years and older. This statistic shows the number of coronavirus disease 2019 (COVID-19) deaths in the U.S. from January 2020 to June 2023, by age.

The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

The Covid-19 pandemic strongly impacted the state of health in France. Furthermore, people among the French population were not impacted the same way. The virus indeed appeared more lethal depending one the age of people. The most vulnerable ones were elderly people. As of June 22, 2021, 73 percent of people aged 75 years and older were victims of the novel coronavirus (Covid-19) in France.

The World Health Organization reported 6932591 Coronavirus Deaths since the epidemic began. In addition, countries reported 766440796 Coronavirus Cases. This dataset provides - World Coronavirus Deaths- actual values, historical data, forecast, chart, statistics, economic calendar and news.

As of May 2, 2023, the outbreak of the coronavirus disease (COVID-19) had spread to almost every country in the world, and more than 6.86 million people had died after contracting the respiratory virus. Over 1.16 million of these deaths occurred in the United States.

Waves of infections Almost every country and territory worldwide have been affected by the COVID-19 disease. At the end of 2021 the virus was once again circulating at very high rates, even in countries with relatively high vaccination rates such as the United States and Germany. As rates of new infections increased, some countries in Europe, like Germany and Austria, tightened restrictions once again, specifically targeting those who were not yet vaccinated. However, by spring 2022, rates of new infections had decreased in many countries and restrictions were once again lifted.

What are the symptoms of the virus? It can take up to 14 days for symptoms of the illness to start being noticed. The most commonly reported symptoms are a fever and a dry cough, leading to shortness of breath. The early symptoms are similar to other common viruses such as the common cold and flu. These illnesses spread more during cold months, but there is no conclusive evidence to suggest that temperature impacts the spread of the SARS-CoV-2 virus. Medical advice should be sought if you are experiencing any of these symptoms.

Provisional deaths registration data for single year of age and average age of death (median and mean) of persons whose death involved coronavirus (COVID-19), England and Wales. Includes deaths due to COVID-19 and breakdowns by sex.

As of April 26, 2023, the number of both confirmed and presumptive positive cases of the COVID-19 disease reported in the United States had reached over 104 million with over 1.1 million deaths reported among these cases.

Coronavirus deaths by age in the U.S. Daily new cases of COVID-19 hit record highs in the United States at the beginning of 2022. Underlying health conditions can worsen cases of coronavirus, and case fatality rates among confirmed COVID-19 patients increase with age. The highest number of deaths from COVID-19 have been among those aged 85 years and older, with this age group accounting for over 300 thousand deaths.

Where has this coronavirus come from? Coronaviruses are a large group of viruses transmitted between animals and people that cause illnesses ranging from the common cold to more severe diseases. The novel coronavirus that is currently infecting humans was already circulating among certain animal species. The first human case of this new coronavirus strain was reported in China at the end of December 2019. The coronavirus was named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and its associated disease is known as COVID-19.

Abstract Background SARS-CoV-2 is an emerging RNA virus associated with a severe acute respiratory disease known as COVID-19. Although COVID-19 is predominantly a pulmonary disease, some patients have severe cardiovascular damage. We performed a quantitative evidence synthesis of clinical data, myocardial injury biomarkers, and cardiac complications associated with in-hospital death in patients with COVID-19. Methods We searched the databases PubMed, Embase, and Google Scholar to identify studies comparing clinical data, myocardial injury biomarkers, and cardiac complications between non-survivors and survivors of COVID-19. Effect sizes were reported as mean difference or standardized mean difference for continuous variables and risk ratio for dichotomous variables with 95% confidence intervals. A random effects model was used to pool the results. Results Six retrospective studies reporting data from 1,141 patients (832 survivors and 309 non-survivors) were included. We found that underlying cardiovascular conditions; elevation of high-sensitivity cardiac troponin I, N-terminal pro-B-type natriuretic peptide, and creatine kinase-MB; and cardiac complications were associated with increased risk of death for patients with SARS-CoV-2 infection. Conclusions The confirmation that underlying cardiovascular conditions, elevation of myocardial injury biomarkers during COVID-19 infection, and acute cardiovascular decompensation are predictors for mortality in SARS-CoV-2 infection must encourage new research to clarify potential mechanisms and test appropriate treatments. (Arq Bras Cardiol. 2020; 115(2):273-277)

The purpose of this study was to better understand the protective factors most critical to resilience and financial wellbeing during the COVID-19 pandemic, particularly for women in the United States experiencing intimate partner violence (IPV). The specific aims of this study were to: (1) Develop a conceptual model for economic resilience based on the Resilience Portfolio Model developed by Grych et al.; and (2) examine which economic resilience protective factors were most associated with IPV survivor health and safety during the COVID-19 pandemic. The project used a web survey design with quantitative data collected from 576 survivors through Qualtrics Panel Service in July 2022.

Context

Provisional counts of deaths in care homes caused by the coronavirus (COVID-19) by local authority. Published by the Office for National Statistics and Care Quality Commission.

https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/numberofdeathsincarehomesnotifiedtothecarequalitycommissionengland health.data@ons.gov.uk

Content

Number of deaths in care homes notified to the Care Quality Commission, England

Acknowledgements

https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/numberofdeathsincarehomesnotifiedtothecarequalitycommissionengland health.data@ons.gov.uk

Photo by Susan Yin on Unsplash

Inspiration

Across the world, figures reveal horrific toll of care home deaths. Statistics showed that Covid-19’s elderly victims have paid a heavy price due to the Pandemic.

Chile is the Latin American country with the fifth largest number of confirmed cases of the COVID-19 disease. As of September 21, 2023, a total of 61,639 people have reportedly died due to COVID-19 in the South American country, of which 29,407 deaths occurred in the Metropolitan region of Santiago, while 6,273 deaths took place in Valparaíso.For further information about the coronavirus pandemic, please visit our dedicated COVID-19 Facts and Figures page.

Rates of coronavirus (COVID-19) deaths by ethnic group in England and Wales.

🇻🇳 베트남

Victims of violence, accidents and threats are at risk for mental health problems. Lower coping self-efficacy and social support levels increase this risk. Although highly relevant, it is unknown if the coronavirus disease 2019 (COVID-19) pandemic amplifies these risks. To examine these risks, data was extracted from four surveys of the VICTIMS study (March 2018, 2019, 2020, 2021), based on a random sample of the Dutch population (LISS-panel). Multivariate logistic regression analyses and mixed-effects models were used to examine differences between the two victim groups (2019: n = 421, 2021: n = 319) and non-victims (n = 3245).

Comparison of characteristics of COVID-19 survivors and deaths.

ABSTRACT Objective: to assess the epidemiological profile of traffic accident victims in the setting of the Coronavirus Disease 2019 (COVID-19) pandemic and analyze the admissions throughout the different levels of restriction (flags), as well as compare the results with the pre-pandemic period. Methods: a cross-sectional study was performed, with probability sampling, in a trauma center in Brazil. Medical records of patients involved in traffic accidents from June 2020 to May 2021 were evaluated. Aside from epidemiological characteristics, variables such as the current flag, the trauma mechanism, the resulting injuries, and the Revised Trauma Score (RTS) were also considered. Data were compared between three different flag periods and the proportion of consultations during the pandemic was compared with that from pre-pandemic time (December 2016 to February 2018). Results: it was observed that 62.2% of the patients were victims of motorcycle accidents, 77.5% were male, and the mean age was 33 ± 12.4 years. The mean and median RTS were 7.5 and 7.8, respectively. Statistical difference was stated when comparing the number of visits per day between the yellow and red flags (p=0.001) and orange and red flags (p=0.016). A significantly lower number of consultations for traffic accidents was observed in the pandemic when compared to the pre-pandemic period. Conclusions: the epidemiological profile of the study consisted mostly of young men who were victims of motorcycle accidents. There was a lower incidence of admissions during red flag periods and a lower proportion of consultations throughout the survey when compared to the pre-pandemic period.

Background: Post-traumatic stress disorder (PTSD) is the most common psychiatric sequelae among novel coronavirus disease (COVID-19) patients. The aim of this study was to determine the prevalence of PTSD symptoms, PTSD-related factors, and its relationship with quality of life at long-term follow-up in hospitalized COVID-19 survivors.Methods: A cross-sectional study was undertaken to evaluate the health consequences of hospitalized COVID-19 survivors. All participants were interviewed face-to-face through a series of questionnaires: a researcher-developed symptom questionnaire, the Post-traumatic Stress Disorder Checklist–Civilian Version, the Generalized Anxiety Disorder 7-item, and the 36-item Short Form.Results: A total of 574 participants were enrolled with an average age of 57 years. The median follow-up time post-discharge was 193.9 days (SD = 15.32). Among the participants, 77.9% of survivors presented with at least one symptom, where fatigue or muscle weakness (47.9%) was reported the most frequently, followed by chest distress (29.4%) and sleep difficulty (29.4%). The prevalence of PTSD was 11.15% [95% confidence interval (CI): 8.56, 13.73] with a cut-off score of 44. Factors such as respiratory symptoms [odds ratio (OR): 3.53; 95% CI: 1.68–7.42], anxiety (OR: 14.64; 95% CI: 7.09–30.21), and sleep difficulty (OR: 2.17; 95% CI: 1.14–4.16) were positively related to PTSD. Those COVID-19 survivors with potential PTSD had significantly lower quality of life than those without (P < 0.05).Conclusion: Our study illustrated that a significant number of COVID-19 survivors were suffering from physical or mental distress to varying degrees at 6 months post-discharge. People with PTSD were more likely to experience persistent respiratory symptoms and sleep difficulty, as well as anxiety and a decreased quality of life. Such survivors require greater attention to their mental health, particularly the PTSD symptoms at the early phase, which may play an important role in the recovery of both the physical and psychological health of COVID-19 survivors.

GISCorps quickly marshaled its members to build a nationwide map of COVID-19 testing sites.Key TakeawaysGISCorps rallies to provide quick, expert mapping help in times of crisis.Volunteers aggregate data on testing sites to create an authoritative national map.Additional map project memorializes victims and survivors of COVID-19._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

Demographics and clinical characteristics of survivors and non-survivors within COVID-19 critically ill patients.