As of June 1, 2022, the total number of coronavirus (COVID-19) cases in the Kingdom of Saudi Arabia (KSA) amounted to just under 800 thousand. At that time, the cumulative number of deaths due to COVID-19 exceeded nine thousand across the country.

Government responses

The Saudi Arabian government first introduced its travel ban in early February 2020, prior to the discovery of the country’s first COVID case on March 2, 2020. The government also took decisive measures to curb the spread of the coronavirus, such as postponing or canceling religious, entertainment, and sports mass gatherings. The suspension of Umrah pilgrimages and the temporary closure of Masjid al-Haram (the Grand Mosque) in Makkah, and Prophet’s Mosque in Madinah were later announced. The annual Hajj pilgrimage to Makkah, one of the largest religious gatherings in the world, attracting around 2.5 million pilgrimages during the week-long ritual before the COVID-19 outbreak, was also substantially pared back in 2020. In the government’s initiative to ease the restrictions imposed during the outbreak, Hajj in 2021 was resumed but limited to citizens and residents living in Saudi Arabia. Makkah was Saudi Arabia's top domestic tourist destination that year, surpassing 13 million visitors.

Tourism industry in the aftermath

The pandemic-induced travel bans and border closures, though crucial and effective in mitigating the transmission of coronavirus, left a heavy impact on the inbound tourism in the Kingdom of Saudi Arabia. Lockdowns during Hajj and Umrah seasons also significantly affected the holy city of Makkah, where religious tourism played a key role. However, as up to one million pilgrims would be allowed restricted access to perform Hajj after two years of disruption, the hotel occupancy rates in Makkah were expected to increase during 2022, indicating the recovery of the country's tourism industry. On the other hand, the country has been seeking to expand its non-religious tourism industry, in line with the goals of diversifying the national economy outlined in the Saudi Vision 2030.

Saudi Arabia recorded 841469 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Saudi Arabia reported 9646 Coronavirus Deaths. This dataset includes a chart with historical data for Saudi Arabia Coronavirus Cases.

As of Aril 2, 2020, the daily increase of coronavirus (COVID-19) cases in Saudi Arabia (KSA) was 165. As of March 25, 2020, Saudi Arabia ordered a lockdown on the capital Riyadh, Makkah and Madinah to control the spread of the coronavirus.

As of November 5, 2020 the total number of death caused by coronavirus (COVID-19) in Saudi Arabia was over 5.4 thousand. The total number of coronavirus (COVID-19) cases to date in the country was around 349 thousand with over 336 thousand recovered.

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

In past 24 hours, Saudi Arabia, Asia had N/A new cases, N/A deaths and N/A recoveries.

New Covid cases per month in Saudi Arabia, March, 2023 The most recent value is 4111 new Covid cases as of March 2023, an increase compared to the previous value of 1472 new Covid cases. Historically, the average for Saudi Arabia from February 2020 to March 2023 is 21934 new Covid cases. The minimum of 0 new Covid cases was recorded in February 2020, while the maximum of 127636 new Covid cases was reached in January 2022. | TheGlobalEconomy.com

The **** percent of the confirmed COVID-19 cases in Saudi Arabia until the second quarter of 2020 was among youths. The percentage of youth deaths out of total infected youths was **** percent, as the virus poses lower risk potential to youths compared to other age groups. The youth population between the age of ** to ** was the highest in Saudi Arabia in 2020 among all age groups.

Context

The Kingdom of Saudi Arabia has dealt excellently with the Covid-19 situation compared to other countries. Moreover, the possibility of collecting detailed data related to the Covid-19 in KSA is motivating to publish it in Kaggle to explore and extract hidden knowledge to predict the future.

Content

The dataset contains the following detailed sub-datasets: 1- A dataset contains 29852 daily cases from 2020-03-02 to 2021-01-28. 2- A dataset includes cases by governorates. 3- A dataset includes cases by 13 regions. 4- A dataset contains 307 cumulated cases by date from 2020-03-02 to 2021-01-02. 5- A dataset contains 338 total daily tests from 2020-03-02 to 2021-02-02. 6- A dataset contains 29769 critical cases from 2020-03-02 to 2021-01-27.

Acknowledgements

The data sources are the Ministry of Health, Covid19 Command and Control Center CCC, The National Health Emergency Operation Center NHEOC. Collecting all the datasets is impossible without their remarkable efforts to provide a real-time dashboard, showing the cases and tests and making it available to everyone.

I would like to express my sincere gratitude to The MCIT (Ministry of Communications and Information Technology for the excellent scholarship. A special thanks to General Assembly and Misk Academy for their continuous support and guides.

Inspiration

There are six datasets, merging some of them to create creative ideas to extract hidden knowledge and predict the future.

Sources:Johns Hopkins University. 2020. “Mapping 2018-nCoV.” January 23. https://systems.jhu.edu/research/public-health/ncov/)

Apple. 2020. “Mobility Trends Reports.” https://www.apple.com/covid19/mobility

BackgroundThe emergence of new SARS-CoV-2 variants makes it difficult to forecast potential epidemiological changes. This study investigates Saudi citizens’ perceptions of COVID-19 during the Omicron wave.MethodsWe conducted a cross-sectional study using an online survey and a convenience sample of 746 participants. The survey included questions about demographics, anxiety levels, and perception of COVID-19 during the Omicron wave.ResultsOur findings revealed that 27.3% of the participants believed that COVID-19 cases would decrease, while 30.2% believed that cases would increase; the remaining 42.5% were uncertain. When asked about the primary reasons for expecting a rise in COVID-19 cases, the two most frequently cited causes were non-adherence to prevention measures (74.7%) and the high transmissibility of the virus (66.7%). Conversely, when asked about the primary reasons for expecting a decrease in COVID-19 cases, participants cited the availability of free vaccines (60.3%), government measures (59.9%), compliance with preventive measures (57.4%), and health awareness programs (44.1%). Multivariate logistic regression analysis indicated that anxiety about COVID-19 (AOR = 1.23, 95% CI: 1.15–1.32) and education level (AOR = 1.58, 95% CI: 1.11–2.25) were significant predictors of respondents’ expectations of increases or decreases in COVID-19 cases (p 

COVID-19 situation in Saudi Arabia collected from MOH daily reports https://twitter.com/SaudiMOH Explore the latest data on the COVID-19 situation and demographics in Saudi Arabia. This dataset provides valuable insights into the impact of the pandemic within the country. Follow data.kapsarc.org for timely data to advance energy economics research.

COVID-19 Saudi Arabia

This Project Tycho dataset includes a CSV file with COVID-19 data reported in SAUDI ARABIA: 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.

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 the following sources: World Health Organization (WHO)For more information, visit the Johns Hopkins Coronavirus Resource Center.-- Esri COVID-19 Trend Report for 3-9-2023 --0 Countries have Emergent trend with more than 10 days of cases: (name : # of active cases) 41 Countries have Spreading trend with over 21 days in new cases curve tail: (name : # of active cases)Monaco : 13, Andorra : 25, Marshall Islands : 52, Kyrgyzstan : 79, Cuba : 82, Saint Lucia : 127, Cote d'Ivoire : 148, Albania : 155, Bosnia and Herzegovina : 172, Iceland : 196, Mali : 198, Suriname : 246, Botswana : 247, Barbados : 274, Dominican Republic : 304, Malta : 306, Venezuela : 334, Micronesia : 346, Uzbekistan : 356, Afghanistan : 371, Jamaica : 390, Latvia : 402, Mozambique : 406, Kosovo : 412, Azerbaijan : 427, Tunisia : 528, Armenia : 594, Kuwait : 716, Thailand : 746, Norway : 768, Croatia : 847, Honduras : 1002, Zimbabwe : 1067, Saudi Arabia : 1098, Bulgaria : 1148, Zambia : 1166, Panama : 1300, Uruguay : 1483, Kazakhstan : 1671, Paraguay : 2080, Ecuador : 53320 Countries may have Spreading trend with under 21 days in new cases curve tail: (name : # of active cases)61 Countries have Epidemic trend with over 21 days in new cases curve tail: (name : # of active cases)Liechtenstein : 48, San Marino : 111, Mauritius : 742, Estonia : 761, Trinidad and Tobago : 1296, Montenegro : 1486, Luxembourg : 1540, Qatar : 1541, Philippines : 1915, Ireland : 1946, Brunei : 2010, United Arab Emirates : 2013, Denmark : 2111, Sweden : 2149, Finland : 2154, Hungary : 2169, Lebanon : 2208, Bolivia : 2838, Colombia : 3250, Switzerland : 3321, Peru : 3328, Slovakia : 3556, Malaysia : 3608, Indonesia : 3793, Portugal : 4049, Cyprus : 4279, Argentina : 5050, Iran : 5135, Lithuania : 5323, Guatemala : 5516, Slovenia : 5689, South Africa : 6604, Georgia : 7938, Moldova : 8082, Israel : 8746, Bahrain : 8932, Netherlands : 9710, Romania : 12375, Costa Rica : 12625, Singapore : 13816, Serbia : 14093, Czechia : 14897, Spain : 17399, Ukraine : 19568, Canada : 24913, New Zealand : 25136, Belgium : 30599, Poland : 38894, Chile : 41055, Australia : 50192, Mexico : 65453, United Kingdom : 65697, France : 68318, Italy : 70391, Austria : 90483, Brazil : 134279, Korea - South : 209145, Russia : 214935, Germany : 257248, Japan : 361884, US : 6440500 Countries may have Epidemic trend with under 21 days in new cases curve tail: (name : # of active cases) 54 Countries have Controlled trend: (name : # of active cases)Palau : 3, Saint Kitts and Nevis : 4, Guinea-Bissau : 7, Cabo Verde : 8, Mongolia : 8, Benin : 9, Maldives : 10, Comoros : 10, Gambia : 12, Bhutan : 14, Cambodia : 14, Syria : 14, Seychelles : 15, Senegal : 16, Libya : 16, Laos : 17, Sri Lanka : 19, Congo (Brazzaville) : 19, Tonga : 21, Liberia : 24, Chad : 25, Fiji : 26, Nepal : 27, Togo : 30, Nicaragua : 32, Madagascar : 37, Sudan : 38, Papua New Guinea : 38, Belize : 59, Egypt : 60, Algeria : 64, Burma : 65, Ghana : 72, Haiti : 74, Eswatini : 75, Guyana : 79, Rwanda : 83, Uganda : 88, Kenya : 92, Burundi : 94, Angola : 98, Congo (Kinshasa) : 125, Morocco : 125, Bangladesh : 127, Tanzania : 128, Nigeria : 135, Malawi : 148, Ethiopia : 248, Vietnam : 269, Namibia : 422, Cameroon : 462, Pakistan : 660, India : 4290 41 Countries have End Stage trend: (name : # of active cases)Sao Tome and Principe : 1, Saint Vincent and the Grenadines : 2, Somalia : 2, Timor-Leste : 2, Kiribati : 8, Mauritania : 12, Oman : 14, Equatorial Guinea : 20, Guinea : 28, Burkina Faso : 32, North Macedonia : 351, Nauru : 479, Samoa : 554, China : 2897, Taiwan* : 249634 -- SPIKING OF NEW CASE COUNTS --20 countries are currently experiencing spikes in new confirmed cases:Armenia, Barbados, Belgium, Brunei, Chile, Costa Rica, Georgia, India, Indonesia, Ireland, Israel, Kuwait, Luxembourg, Malaysia, Mauritius, Portugal, Sweden, Ukraine, United Kingdom, Uzbekistan 20 countries experienced a spike in new confirmed cases 3 to 5 days ago: Argentina, Bulgaria, Croatia, Czechia, Denmark, Estonia, France, Korea - South, Lithuania, Mozambique, New Zealand, Panama, Poland, Qatar, Romania, Slovakia, Slovenia, Switzerland, Trinidad and Tobago, United Arab Emirates 47 countries experienced a spike in new confirmed cases 5 to 14 days ago: Australia, Austria, Bahrain, Bolivia, Brazil, Canada, Colombia, Congo (Kinshasa), Cyprus, Dominican Republic, Ecuador, Finland, Germany, Guatemala, Honduras, Hungary, Iran, Italy, Jamaica, Japan, Kazakhstan, Lebanon, Malta, Mexico, Micronesia, Moldova, Montenegro, Netherlands, Nigeria, Pakistan, Paraguay, Peru, Philippines, Russia, Saint Lucia, Saudi Arabia, Serbia, Singapore, South Africa, Spain, Suriname, Thailand, Tunisia, US, Uruguay, Zambia, Zimbabwe 194 countries experienced a spike in new confirmed cases over 14 days ago: Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burma, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Comoros, Congo (Brazzaville), Congo (Kinshasa), Costa Rica, Cote d'Ivoire, Croatia, Cuba, Cyprus, Czechia, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Korea - South, Kosovo, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, North Macedonia, Norway, Oman, Pakistan, Palau, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Sudan, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Taiwan*, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Tuvalu, US, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, West Bank and Gaza, Yemen, Zambia, Zimbabwe 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.

Records of reported Counts of COVID-19 case counts in Saudi Arabia from 2020-2021. Download is a zipped CSV file with readme.

Descriptive statistics of patients’ fear of COVID-19 and hospital anxiety and depression scales.

Introduction

The dataset contains COVID-19 statistics for the top countries currently affected by the virus. The data was scraped from two popular sites maintaining daily updates on the spread of COVID-19 - https://www.worldometers.info/ and https://en.wikipedia.org/wiki/COVID-19_pandemic

Contents

There are two kinds of csv files. One type of files are country wise daily statistics on COVID-19 spread. The data for the following countries is available:-

• United States
• Russia
• Brazil
• Pakistan
• Germany
• Peru
• Spain
• Belgium
• Italy
• Belarus
• India
• Qatar
• Mexico
• Turkey
• Sweden
• Saudi Arabia
• Iran
• Canada
• Chile
• China
• France
• Ecuador
• Bangladesh

For each of these countries, the dataset contains the following columns:-

• Date
• total cases
• daily cases
• active cases
• total deaths
• daily deaths

The second type of file is the overall statistics which contains statistics for all the countries affected in the world. This dataset contains the following columns:-

• country name
• total cases
• total recoveries
• total deaths

Background: The coronavirus disease 2019 (COVID-19) pandemic has become a major public health crisis worldwide, and the Eastern Mediterranean is one of the most affected areas.Materials and Methods: We use a data-driven approach to assess the characteristics, situation, prevalence, and current intervention actions of the COVID-19 pandemic. We establish a spatial model of the spread of the COVID-19 pandemic to project the trend and time distribution of the total confirmed cases and growth rate of daily confirmed cases based on the current intervention actions.Results: The results show that the number of daily confirmed cases, number of active cases, or growth rate of daily confirmed cases of COVID-19 are exhibiting a significant downward trend in Qatar, Egypt, Pakistan, and Saudi Arabia under the current interventions, although the total number of confirmed cases and deaths is still increasing. However, it is predicted that the number of total confirmed cases and active cases in Iran and Iraq may continue to increase.Conclusion: The COVID-19 pandemic in Qatar, Egypt, Pakistan, and Saudi Arabia will be largely contained if interventions are maintained or tightened. The future is not optimistic, and the intervention response must be further strengthened in Iran and Iraq. The aim of this study is to contribute to the prevention and control of the COVID-19 pandemic.

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.

KSAGeoCOV is the first province-level geolocated dataset of a hundred thousand tweets discussing COVID-19 in Kingdom of Saudi Arabia. The dataset contains 262,178 unique geolocated tweets compared to only 61,711 unique geotagged tweets i.e., 4.25 times as many tweets.

Generating such dataset is essential for building a surveillance system that provides national-level and subnational-level insights during crises and epidemics.

This dataset is generated by appropriately employing an underutilized feature in the Twitter backend to geolocate tweets during data collection. This retrieves both geotagged and geolocated tweets, ensuring accuracy and better coverage.

To use the dataset, you need first to hydrate the tweet identifiers in the csv files using a third-party tool such as twarc.

For further details, please refer to the following publication: Elteir, Marwa K. Cost-effective time-efficient subnational-level surveillance using Twitter: Kingdom of Saudi Arabia case study. Discov Appl Sci 7, 60 (2025). https://doi.org/10.1007/s42452-024-06425-9

Predictors of fear and health anxiety regarding COVID-19 in multiple linear regression analysis.