Most COVID-19 cases in Ukraine were recorded in the capital Kyiv, measured at over 441.4 thousand as of February 22, 2022. The Odesa Oblast had the second-highest number of infections at around 324.4 thousand. In total, around 4.78 million cases of COVID-19 were confirmed in the country as of that date. Ukraine’s adaptive quarantine After the nationwide lockdown from March 12 to May 21, 2020, Ukraine was placed under the so-called 'adaptive quarantine' by the national government, meaning that most restrictive measures have been lifted, except for the areas with high infection rates. There, confinement measures were to be taken by local authorities. Red, orange, yellow, and green risk levels have been assigned on the regional level according to the data provided by the Ministry of Health. The 'adaptive quarantine' was later extended until October 31, 2020.

Economic implications for the Ukrainian economy

The IMF estimated Ukraine’s GDP to reach 151.5 billion U.S. dollars in 2020. Furthermore, the country’s national debt was forecast to increase to over 110 billion U.S. dollars by 2025. The financial fund of approximately seven billion U.S. dollars was created by the Cabinet of Ministers and the Bank of Ukraine in an attempt to stabilize the economy and strengthen the national currency Ukrainian hryvnia. However, despite the efforts, Ukraine could require assistance from the international community to overcome the crisis caused by the pandemic. In July 2020, Ukraine signed a memorandum with the European Commission to receive macro-financial assistance (MFA) funds in the form of long-term loans worth up to 1.2 billion euros from the European Union.

The number of COVID-19 cases in Ukraine was approximately 5.5 million as of August 2, 2023. The number of COVID-19 deaths in the country neared 110 thousand. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Ukraine recorded 5019125 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Ukraine reported 108671 Coronavirus Deaths. This dataset includes a chart with historical data for Ukraine Coronavirus Cases.

Datasets were collected by Working group on mathematical modeling of the SARS-CoV-2 coronavirus epidemic in Ukraine of National Academy of Science of Ukraine. Reports of this Working group (Ukrainian).

Data is based on daily reports from the Ministry of Health of Ukraine and raw data from the Public Health Center of Ukraine. Data were collected for the 25 Ukrainian oblasts and contain information about the total amount of registered cases, deaths and recoveries.

Files contain data for the total amount cases, deaths, and recoveries from the daily official reports from the Ministry of Health, dates are the dates of reporting about the new cases. The reporting date may significantly differ from the date of the actual event.

The dataset may be used for analyzing reporting delays and their effect on prognoses and decision-making.

Header & Thumbnail Images are from the Report #61

Over the week ending July 8, 2023, weekly new coronavirus (COVID-19) cases in Ukraine amounted to nearly 900. The total number of COVID-19 cases in the country was approximately 5.5 million as of August 2, 2023. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

The number of COVID-19 vaccination doses administered in Ukraine rose to 31668577 as of Oct 27 2023. This dataset includes a chart with historical data for Ukraine Coronavirus Vaccination Total.

The data was taken from https://public.tableau.com/profile/publicviz#!/vizhome/monitor_15841091301660/sheet0 Created by The President's Office Directorate of Regional Policy and Decentralization based on data by Regional State Administration. The final data of the current day is available the next day at 9:00 a.m. The data is being collected from Feb 26, 2020. More operational information about the extension of coronavirus on the Ministry Of Health site: https://moz.gov.ua/koronavirus-2019-ncov

WarCov dataset

Dataset from popular social media platform containing posts associated with the subject of COVID-19 pandemic and war in the Ukraine in Polish language. Apart from the texts it also contains images attached to posts and procedurally generated labels.

Additional representations

Upon request on the project's GitHub page, we declare that we will extract features from the original dataset using any indicated method if possible to run with the computational resources of our University. The obtained embeddings will be added to a publicly available data repository in such a case. We also encourage researchers to fork the solution for their projects.

Tasks

Dataset is dedicated to use in classification task in three main domains:

• text classification (Natural Language Processing),
• image classification,
• multimodal classification with both representations.

More information can be found in the preprint article (submitted to the Thirty-eighth Annual Conference on Neural Information Processing Systems - NeurIPS 2024). Available on arXiv.

License information and citing

Dataset on license Attribution-NonCommercial-ShareAlike 4.0 International.

If you use dataset in a publication, we would appreciate citations to the following paper:

bibtex

Over 4.9 million Ukrainians aged from 20 to 39 years received the first dose of COVID-19 vaccine as of February 21, 2022. Furthermore, more than 4.7 million residents in that age group got the second dose, and over 156 thousand received a booster shot. To compare, the number of Ukrainians aged 80 years and older who received the second dose was approximately 278.9 thousand. In total, over 15.6 million Ukrainians got at least one COVID-19 vaccination dose.

Context

COVID-19 in Ukraine: daily data from April 1

Content

Total and daily data about new Coronavirus cases, deaths, active cases, and number of recovered people in Ukraine, per day, GMT+0

I found a way to automatically upload data through API, so I stopped updating this table from 2020-10-17.

From 06-12-2020 I added new tables: * Number of PCR tests on COVID-19 in Ukraine with daily data * Number of hospitalizations of patients with COVID-19 in Ukraine with daily data

I will also make new notebooks here that will use data from the same source.

From 2020-11-28 I am adding forecast data files (from previous versions of public notebooks of this dataset) to compare the forecasting performance of my optimal model based on the Prophet model.

Acknowledgements

Thanks to the portal of the National Security and Defense Council of Ukraine.

Thanks to the FB page of the Ministry of Health of Ukraine.

Thanks for the image to iXimus from Pixabay

Inspiration

It is necessary to find patterns and learn to make a short-term and long-term forecast, identify the influencing factors for the studying scenarios of the development of events.

The experience gained will be of interest to other countries of the world as well.

This Project Tycho dataset includes a CSV file with COVID-19 data reported in UKRAINE: 2020-01-03 - 2021-07-31. It contains counts of cases and deaths. Data for this Project Tycho dataset comes from: "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

As of May 8, 2020, the highest average mortality rate from the coronavirus (COVID-19) in Ukraine was recorded at 8.7 percent in the Chernivtsi Oblast, which also had the largest number of disease cases in the country. The average COVID-19 death rate across Ukraine was measured at 2.5 percent as of that date.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

The number of COVID-19 vaccination doses administered per 100 people in Ukraine rose to 80 as of Oct 27 2023. This dataset includes a chart with historical data for Ukraine Coronavirus Vaccination Rate.

Out of 361 deaths caused by the coronavirus (COVID-19) in Ukraine as of May 8, 2020, nearly 28 percent were in the age group between 60 and 69 years old. In total, the country had over 20 thousand COVID-19 cases as of May 22, 2020.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

The dataset is composed of 10,348 tweets: 5,284 for English and 5,064 for Turkish. Tweets in the dataset are human-annotated in terms of "false", "true", or "other". The dataset covers multiple topics: the Russia-Ukraine war, COVID-19 pandemic, Refugees, and additional miscellaneous events. The details can be found at https://github.com/avaapm/mide22

This dataset contains the "Situation of labour migrants from Ukraine in the first COVID-19 lockdown period in Poland" survey raw data submitted to the Data in Brief Journal. The survey was conducted in May and June 2020 using an online form. The participants were 617 Ukrainian migrant workers who have remained in Poland during first COVID-19 lockdown.

ObjectivesHealthcare students went through a rough time in March 2022 due to extreme changes in the educational system (moving from online to stationary learning) and Ukrainian-Russian war circumstances. Our study aims to update knowledge about psychological distress and its impact on healthcare students in Poland after two years of the COVID-19 pandemic, followed by intense and political instability in Europe.MethodsWe conducted a cross-sectional study on healthcare students from Poznan University of Medical Sciences, Poland, from March to April 2022. The questionnaire included subjective retrospective 5-point Likert-scales ratings of anxiety, stress, and depression and self-reported information on various psychological distress predictors.ResultsThe anxiety levels at the beginning of the COVID-19 pandemic were higher than in April 2022. There was no significant reduction in stress and depression. Females had higher initial anxiety levels than post-pandemic levels. Higher reported levels of anxiety, stress, and depression were significantly correlated with political instability in Eastern Europe (Spearman ranxiety = 0.178, rstress = 0.169, rdepression = 0.154, p ≤ 0.001, respectively). The concern about moving towards online education showed a significant association only with stress level (rstress = 0.099, p = 0.034). We also observed a positive correlation between anxiety, stress, and depression and deteriorating sleep quality (Spearman ranxiety,=0.325, rstress = 0.410, rdepression = 0.440, p < 0.001), the feeling of worsening relationships with family and peers (ranxiety = 0.325, rstress = 0.343, rdepression = 0.379, p < 0.001), and the sense of loss of efficient time management (ranxiety = 0.321, rstress = 0.345, rdepression = 0.410, p < 0.001).ConclusionThroughout the progression of the Ukrainian war and the COVID-19 pandemic, females reported improved (lower levels) levels of anxiety. Nevertheless, the current levels of self-reported anxiety post-pandemic remain alarming, while stress and depression levels remained unchanged. Mental, psychological, and social support activities are required for healthcare students, especially those away from their families. Time management, academic performance, and coping skills in relation to the additional stressors of war and the global pandemic require further research in this group of students.

Background: European health care workers recently experienced serious challenges to their mental health. Following the extremely stressful experience of the COVID-19 pandemic, the war in Ukraine caused a humanitarian influx of refugees in need of social and healthcare. We aimed to explore: (1) how working with refugees has affected the mental well-being of health care workers in the context of the COVID-19 pandemic, and (2) the nature of health care workers’ emotional strain related to the refugee situation and the war in Ukraine. Methods: We used a combination of quantitative regression analyses and qualitative content analysis to assess data collected by an online questionnaire in 2022. The study included 1121 health care workers from the Czech arm of the international HEROES Study. Results: Quantitative findings did not indicate that working with Ukrainian refugees was reliably associated with a greater occurrence of symptoms of depression, anxiety, distress, or burnout. Qualitative analysis revealed five categories of emotional strain: impacts on working conditions, emotional reactions to refugees and the war, comparisons with the COVID-19 pandemic, and coping strategies. Conclusions: This study highlights the resilience of health care workers but also points to the need for ongoing support to address the complex emotional challenges they face during health crises. Although we did not find a significant association between working with refugees and mental health issues, health professionals encountered emotionally challenging situations.Emotionally challenging situations involved reactions to the war and refugees, worsening working conditions, and higher subjective strain than during the COVID-19 pandemic.When comparing health workers caring for with refugees and COVID-19 patients, we found differences in their mental health issues. Although we did not find a significant association between working with refugees and mental health issues, health professionals encountered emotionally challenging situations. Emotionally challenging situations involved reactions to the war and refugees, worsening working conditions, and higher subjective strain than during the COVID-19 pandemic. When comparing health workers caring for with refugees and COVID-19 patients, we found differences in their mental health issues.

Ukraine administered approximately 6.99 million first doses, over seven million second doses, nearly 599 thousand booster shots, and about 23 thousand additional doses of COVID-19 vaccine developed by Pfizer and BioNTech as of February 20, 2022. Furthermore, the country used vaccines by AstraZeneca (Covishield), Sinovac (CoronaVac), Moderna, and Johnson & Johnson (Janssen) for COVID-19 vaccination.

During times of crisis, fear may prompt a greater need for identity confirmation to reduce the uncertainty. People find comfort in identifying with an ingroup online, but this could worsen societal division. Our study analyzed Facebook discussions about COVID-19 pandemic and the Russo-Ukrainian war in order to identify the common patterns of economic and social uncertainties expressed through repeated narratives. We focused on the public Facebook pages of two Czech mainstream TV news outlets during two phases of each crisis and analyzed 1,680 comments with grounded theory’s coding procedures. The findings indicate that polarizing narratives resembling populist discourse are used to construct the identity of “the people” standing against “the elites”. We contribute to studies on social media radicalization by revealing its non-partisan character, as well as by showing that it occurs outside the fringe online spaces, in the online media mainstream. Data cannot be archived or shared as it contains personal information and, due to its nature, cannot be anonymised.