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.

As of November 14, 2022, the United States had recorded almost 98 million cases of COVID-19. The country had also reported a total number of over one million deaths from the disease.

COVID-19 testing remains important The cumulative number of coronavirus cases worldwide reached almost 633 million towards the beginning of November 2022. Demand for test kits has at times exceeded production levels, but many countries continue to test citizens to more effectively control rises in cases. The U.S. has performed the most tests worldwide, followed by India and the United Kingdom.

The silent spread of the coronavirus Widespread testing will also help to detect people who might be asymptomatic – showing few or no symptoms of the illness. These carriers are unwittingly transmitting the virus to others, and the threat of silent transmission is one reason why mass lockdowns have been imposed around the world. However, as asymptomatic carriers produce no symptoms, they may have developed some natural immunity to the illness. Viruses are not as easily spread in communities with high rates of immunity, which helps to protect more vulnerable groups of people. When an infection rate is less than one, a community has achieved herd immunity.

This dataset provides values for CORONAVIRUS DEATHS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

As of November 24, 2024 there were over 274 million confirmed cases of coronavirus (COVID-19) across the whole of Europe since the first confirmed cases in France in January 2020. France has been the worst affected country in Europe with 39,028,437 confirmed cases, followed by Germany with 38,437,756 cases. Italy and the UK have approximately 26.8 million and 25 million cases respectively. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

Trends in Covid total deaths per million. The latest data for over 100 countries around the world.

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.

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.

On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit: World Health Organization (WHO)For more information, visit the Johns Hopkins Coronavirus Resource Center. -- Esri COVID-19 Trend Report for 3-9-2022 --0 (-0) Countries are in Emergent trend41 (-3) Countries are in Spreading trend.61 (+2) Countries are in Epidemic trend.54 (+0) Countries have Controlled trend.41 (+1) Countries have End Stage trend.Strongest spike in past two days was in US at 64,861 new cases.Strongest spike in past five days was in US at 64,861 new cases.Strongest spike in outbreak was 424 days ago in US at 1,354,505 new cases. Global Total Confirmed COVID-19 Case Rate of 8620.91 per 100,000Global Active Confirmed COVID-19 Case Rate of 37.24 per 100,000Global COVID-19 Mortality Rate of 87.69 per 100,000 21 countries with over 200 per 100,000 active cases.5 countries with over 500 per 100,000 active cases.3 countries with over 1,000 per 100,000 active cases.1 country with over 2,000 per 100,000 active cases.Nauru is worst at 4,354.54 per 100,000.See the full methodology for information about how COVID-19 Trends are produced.

As of January 13, 2023, there had been over 270 million confirmed cases of COVID-19 across the whole of Europe since the first confirmed case in January, 2020. Cyprus has the highest incidence of COVID-19 cases among its population in Europe at 71,853 per 100,000 people, followed by a rate of 64,449 in Austria. Slovenia has recorded the third highest rate of cases in Europe at 62,834 cases per 100,000. With almost 38.3 million confirmed cases, France has been the worst affected country in Europe, which translates into a rate of 58,945 cases per 100,000 population.

Current infection rate in Europe San Marino had the highest rate of cases per 100,000 in the past week at 336, as of January 16, 2023. Cyprus and Slovenia had seven day rates of infections at 278 and 181 respectively.

Coronavirus deaths in Europe There have been 2,169,191 recorded COVID-19 deaths in Europe since the beginning of the pandemic. Russia has the highest number of deaths recorded in a European country at over 394 thousand. Bulgaria has the highest death rate from the virus in Europe with approximately 549 deaths per 100,000 as of January 13, followed by Hungary with 496 deaths per 100,000. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

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.

Data Set

This dataset contains the COVID19 data for some specific African countries, as sourced from one of the world's top repositories on COVID 19 (https://www.worldometers.info/coronavirus/#countries).

The raw data contains COVID19 cases, deaths, recoveries, population etc, grouped into continents and countries.

Motivation

Over the last 3 years, the whole world has been ravaged by the pandemic COVID19. Over this period, some nations have come to a halt, economic activities reduced drastically in many cities. This was accompanied by hundreds of thousands of deaths across the world.

Considering a continent as populous as Africa, we have had our own fair share of the effects of the COVID19 pandemic.

This analysis project was motivated by my desire to seek out and compare COVID 19 prevalence in some African countries between June 15th - June 27th; and also draw out insights from this analysis.

Data Cleaning

Upon collection of this data from the data source, the data was cleaned using MS Excel to search for missing values, outliers, spellings, duplicate data etc.

This cleaned data was further transformed using Power Query.

Analysis

I carried out this analysis in a bid to answer some pressing questions: 1. Which were the 10 best-performing countries (based on the least number of COVID cases) 2. Which were the 10 worst performing countries (based on the most number of COVID cases) 3. Carry out descriptive analysis for each of 1 and 2 above. 4. Compare the expository analysis between 1 and 2 stated above. 5. Create visualization for 3 and 4 above. 6. Perform a forecast of cases for each of the 10 best and worst-performing countries.

Visualization

The analysis was done by visualization and creating insights using Microsoft PowerBI Desktop.

Current Epidemiology Situation and Forecast
To date, the greatest numbers of cases and deaths have occurred in the US, India, and Brazil
The global case fatality rate (%) has continued to decline
Increasing uncertainty of infection rates renders forecasting difficult in the worst-hit countries Read More

IntroductionCoronavirus disease 2019 (COVID-19) has become the worst catastrophe of the twenty-first century and has led to the death of more than 6.9 million individuals across the globe. Despite the growing knowledge of the clinicopathological features of COVID-19, the correlation between baseline and early changes in the laboratory parameters and the clinical outcomes of patients is not entirely understood.MethodsHere, we conducted a time series cross-sectional study aimed at assessing different measured parameters and socio-demographic factors that are associated with disease severity and the outcome of the disease in 268 PCR-confirmed COVID-19 Patients.ResultsWe found COVID-19 patients who died had a median age of 61 years (IQR, 50 y – 70 y), which is significantly higher (p 

As of March 13, Austria had the highest rate of coronavirus (COVID-19) cases reported in the previous seven days in Europe at 224 cases per 100,000. Luxembourg and Slovenia have recorded 122 and 108 cases per 100,000 people respectively in the past week. Furthermore, San Marino had a rate of 97 cases in the last seven days.
Since the pandemic outbreak, France has been the worst affected country in Europe with over 38.3 million cases as of January 13. The overall incidence of cases in every European country can be found here.

For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

Rationale: India and the USA, the worst affected countries by COVID-19, experienced very different pandemic courses. By 2020, COVID-19 cases had steadily declined in India, whereas the fight continued in the US. The people of India and the USA perhaps perceived threats very differently, influenced by their knowledge, available healthcare facilities, and social security. We conducted an online survey study to compare COVID-related perceptions between Indian participants (IND-P) and US-based participants (US-P).Methods: COVID-related perceptions such as stress, knowledge, and preventive behaviors were measured with specific questionnaires, and normalized scores were computed. T-tests were used to compare the perception scores, while the Kruskal-Wallis-H (KWH) tests were used to compare socioeconomic distributions between participants from two countries. Generalized linear model (GLM) adjusted for sociodemographic confounders estimated the association between the country of residence and COVID-perception.Results: The IND-P (N = 242) were younger and male-dominated compared with the US-P (N = 531) (age: KWH = 97.37, p < 0.0001, gender: KWH = 140.38, p < 0.0001). Positive attitudes toward preventive guidelines were associated with higher perceived risk and stress (r = 0.35, p < 0.001, and r = 0.21, p < 0.001, respectively) but not with the knowledge (r = −0.05, p = 0.14). Compared with the US-P, the IND-P had lower knowledge (5.19 ± 1.95 vs. 7.82 ± 1.35; t-test: p < 0.0001), higher stress (7.01 ± 1.51 vs. 6.07 ± 1.61; t-test: p < 0.0001), and better adherence to preventive guidelines (8.84 ± 1.30 vs. 8.34 ± 2.09; t-test: p = 0.0006). GLM demonstrated a significant association between the country and COVID-perception scores.Conclusion: The IND-P experienced higher stress and perceived threat during COVID-19 than the US-P, perhaps due to a lack of faith in the healthcare system and insecurity. Despite lower knowledge, the IND-P had better acceptance of preventive guidelines than the US-P.

Two issue frames quickly emerged in policy and media communications about Covid-19 lockdown measures. Initially, a public health frame advocated for strong quarantine policies to slow the spread of the virus. As the economic costs associated with quarantine measures became clear, an economic frame pushed for an end to (or a relaxation of) these measures to alleviate the economic damage associated with lockdowns. We do not know much about how these competing communication frames affected lockdown support, especially in poor and middle-income countries. To explore this question, we embedded a framing experiment in a nationally representative telephone survey in May 2020 in Peru, one of the world's hardest-hit countries by the coronavirus pandemic. The vignette experiment reveals that the economic frame produces a decrease in public support for quarantine measures in Peru. In contrast, respondents exposed to a health frame do not increase their approval of the same measures.

As of May 2, 2023, the outbreak of the coronavirus disease (COVID-19) had been confirmed in almost every country in the world. The virus had infected over 687 million people worldwide, and the number of deaths had reached almost 6.87 million. The most severely affected countries include the U.S., India, and Brazil.

COVID-19: background information COVID-19 is a novel coronavirus that had not previously been identified in humans. The first case was detected in the Hubei province of China at the end of December 2019. The virus is highly transmissible and coughing and sneezing are the most common forms of transmission, which is similar to the outbreak of the SARS coronavirus that began in 2002 and was thought to have spread via cough and sneeze droplets expelled into the air by infected persons.

Naming the coronavirus disease Coronaviruses are a group of viruses that can be transmitted between animals and people, causing illnesses that may range from the common cold to more severe respiratory syndromes. In February 2020, the International Committee on Taxonomy of Viruses and the World Health Organization announced official names for both the virus and the disease it causes: SARS-CoV-2 and COVID-19, respectively. The name of the disease is derived from the words corona, virus, and disease, while the number 19 represents the year that it emerged.

This dataset has been taken from IEEE. The global surge in COVID-19 cases resulted in several schools, colleges, and universities closing in 2020 in almost all parts of the world and switching to online or remote learning, which has impacted student learning in different ways. The dataset consists of the web behavior related to online learning that originated from different countries of the world on a monthly basis from 2004-2021. At this point, the dataset consists of the web behavior data related to online learning for the 20 countries which were worst affected by COVID-19 at the time of development of this dataset. Future work on this dataset would involve incorporating more countries into the study and expanding the dataset.

Coronavirus has blighted our world, hitting some countries harder than others. Morbidity and mortality rates make Madrid one of the worst affected places so far in the wake of the coronavirus. The aim of this study was to analyze the presence of post-traumatic growth during the coronavirus crisis and to understand the contribution of meaning, religiosity, and spirituality to such growth; 1,492 people completed the questionnaire; N = 1,091 residents in Madrid were selected for the study. We assessed the personal experience of COVID-19, the Spirituality, Religiosity, Meaning trough Purpose in Life-10 test, and Posttraumatic Growth (Community Post-Traumatic Growth Scale). Results showed significant differences for all measures of growth, with higher values in women. Sex and direct impact of COVID-19 accounted for 4.4% of the variance of growth. The different dimensions of meaning contribute differently to growth. Only religiosity was associated with total growth when meaning was included in the model. This same pattern of results is obtained in models predicting interpersonal and social growth. However, in predicting personal growth, it is spirituality that predicts this type of growth once meaning has been previously controlled for, while religiosity fails to reach a statistically significant level. Our results reflect the interest in maintaining the distinction between spirituality and religiosity, their different roles in traumatic growth and the different dimensions on which each has an effect. Finally, it confirms the importance of meaning in post-traumatic growth, especially the dimension of life goals and purposes.

The COVID-19 pandemic, and the measures taken by governments around the world to contain it, had a huge impact on individuals' lives. According to a survey conducted in April 2021 in countries belonging to the G7 group, many citizens experienced negative feelings and difficult situations in the previous year. By looking at the results, it seems that Italians had the worst time. The number of Italians sharing the negative experiences listed here, in fact, was consistently higher than the average across the seven countries.