Pakistan recorded 1580631 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Pakistan reported 30656 Coronavirus Deaths. This dataset includes a chart with historical data for Pakistan Coronavirus Cases.

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

Pakistan COVID-19 Dataset

This is the data repository for the 2019 Novel Coronavirus cases in Pakistan.

Daily reports (daily_reports)

This folder contains daily case reports. All timestamps are in UTC (GMT+0). Provincial Data is only available from 11th April 2020, previous reports have data of Pakistan as whole.

File naming convention

YYYY-MM-DD.csv in UTC.

Field description

• Province_State: Province, state or dependency name.
• Country_Region: Country, region or sovereignty name.
• Last Update: YYYY-MM-DD HH:mm:ss (24 hour format, in UTC).
• Lat and Long_: Latitude and Longitude locations on the map. All points shown on the map are based on geographic centroids, and are not representative of a specific address, building or any location at a spatial scale finer than a province/state.
• Confirmed: Counts include confirmed and probable (where reported).
• Deaths: Counts include confirmed and probable (where reported).
• Recovered: Recovered cases are estimates based on local media reports, and state and local reporting when available, and therefore may be substantially lower than the true number.
• Active: Active cases = total cases - total recovered - total deaths.
• Incident_Rate: Incidence Rate = cases per 100,000 persons.
• Case_Fatality_Ratio (%): Case-Fatality Ratio (%) = Number recorded deaths / Number cases.
• All cases, deaths, and recoveries reported are based on the date of initial report.

Combined report (combined_report.csv)

This file contains all the daily cases reports combined into one.

Data sources

• Government of Pakistan
• JHU CSSE COVID-19 Dataset

Context

The 2019–20 coronavirus pandemic was confirmed to have reached Pakistan on 26 February 2020, when a student in Karachi tested positive upon returning from Iran. By 18 March, cases had been registered in all four provinces, the two autonomous territories, and the federal territory of Islamabad. The dataset is completely acquired from NIH Publications, Governmental resources and extra mile contacts.

The dataset reflects at provincial level and details from all the aspects. Complete details can be visualized at hyperurl.co/pakcovid

Content

The dataset contains chronological seven tabs and 80+ columns with data ranging from Suspected Cases Last Date Suspected Cases Last 24 Hrs Suspected Cases Cumulative Lab Tests Last 24 Hrs Lab Tests Cumulative Confirmed Cases Last Date Confirmed Cases Last 24 Hrs Confirmed Cases Cumulative Deaths Last Date Deaths Last 24 Hrs Deaths Cumulative Transmission Total Transmission Foreign - Iran Transmission Foreign - Iran % Transmission Foreign - Other Transmission Foreign - Other % Transmission Local - Tableegh Transmission Local % - Tableegh Transmission Local - Others Transmission Local % - Others Transmission Local Transmission Local % Total Hospitals Beds for COVID Total Admitted Admitted Stable Admitted Critical Admitted Ventilator Home Quarantine Recovered Death Quarantine Facilities Last 24 Hrs Arrival Last 24 Hrs (Location) Last 24 Hrs Departure Cumulative Quarantined Number of Tests Results Achieved Test Positive Cases Test Positive Cases % Confirmed HW - Active Doctors Confirmed HW - Active Nurses Confirmed HW - Active Others Confirmed HW - Active Total Confirmed HW - Active Isolation Confirmed HW - Active Hospital Confirmed HW - Active Hospital Stable Confirmed HW - Active Hospital Ventilator Confirmed HW - Active Recovered Confirmed HW - Active Deaths all at provincial level

The first version has the data from first case of February 26 2020 to April 19, 2020. We intend to publish weekly updates

Acknowledgements

Users are allowed to use, copy, distribute and cite the dataset as follows: “Mesum Raza Hemani, Corona Virus Pakistan Dataset 2020, Kaggle Dataset Repository”

Visualization

Interactive Link: Desktop Mobile

Dataset

This dataset was created by Shahraiz Ali

Released under CC0: Public Domain

Contents

Total Covid cases per million people in Pakistan, March, 2023 The most recent value is 6698 cases per million as of March 2023, an increase compared to the previous value of 6687 cases per million. Historically, the average for Pakistan from February 2020 to March 2023 is 4166 cases per million. The minimum of 0 cases per million was recorded in February 2020, while the maximum of 6698 cases per million was reached in March 2023. | TheGlobalEconomy.com

Distribution of observed and simulated daily new cases, daily deaths, and daily recover cases of COVID-19 in Pakistan.

Covid-19 complete dataset updated daily from Our World in Data

SUMMARY👇

Source and more information: https://github.com/owid/covid-19-data/tree/master/public/data

💯**Data is synced hourly**

Metrics:

✔️ Vaccinations ✔️ Tests & positivity ✔️ Hospital & ICU ✔️ Confirmed cases ✔️ Confirmed deaths ✔️ Reproduction rate ✔️ Policy responses ✔️ Other variables of interest

COVID-19 Cases in Pakistan 2020-2022

Content

The coronavirus, or COVID-19, is inciting panic for a number of reasons. It's a new virus, meaning no one has immunity, and there is no vaccine. Its novelty means that scientists aren't sure yet how it behaves they have little history to go on.

This dataset contains updated information on the number of COVID-19 cases in Pakistan. Please note that this is a time-series data so that it will be updated on a daily bases.

This dataset contain d data from 19/12/2019. Upvote if you like it...

Acknowledgements

Wikipedia 2020 Coronavirus pandemic data/ Pakistan medical cases Ministry of National Health and Services Regulations and Coordinations COVID-19 Health Advisory Platform

Inspiration

1. Data will be updated on a daily bases
2. More information will be uploaded

Coronavirus cases is increasing day by day in Pakistan and in globe as well and with every day new cases are reporting. So, the goal is to make a machine learning model that can predict and forecast new cases, deaths, cure cases based on past data of Pakistan and forecast new cases overall and at Province/State and City level as well as.

This dataset demonstrates the fear of Coronavirus (COVID-19) among the people of Khyber Pakhtunkhwa (Pakistan), their preventive behaviour, mental health condition, and level of anxiety during the pandemic. To gauge these constructs, a questionnaire was developed with the help of various scales – Fear of COVID-19 Scale (FCV-19S), Positive Mental Health Scale (PMHS), and General Anxiety Disorder Scale (GAD). At the time of data collection, the COVID-19 cases were emerging rapidly in the country due to which the KPK province was also facing lock-down and other mobility restrictions to limit the spread of viral infection. Keeping in view the prevalent emergency conditions, the research tool was developed in Google form and disseminated online for the collection of data. The informed consent of the respondents was obtained electronically, and they participated voluntarily in this survey research. Social media apps like Facebook, WhatsApp, LinkedIn, and personal contacts were also used for speedy collection of data. All the questions in the questionnaire were mandatory and the respondents could not send their responses by skipping any of them, so there is no missing value in the dataset. A total of 501 responses were received out of which 208 were females. For the convenience of the participants, every question in the questionnaire was translated into the Urdu language. All the responses were automatically saved online into a .xlsx spreadsheet and later that data was converted to digitized form by developing a coding frame. There are two main sections in this dataset, first is about the socio-demographic information (gender, age, marital status, employment status, area of residence and education) of the participants and the second demonstrates the fear, mental health, preventive behaviour, and anxiety while in the second section, the responses were rated on Likert scale. This dataset could be beneficial to the researchers and policymakers as they can get further insight to develop better skills and practices from a rapidly evolving situation.

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.

Records of reported Counts of COVID-19 case counts in Pakistan from 2019-2021. Download is a zipped CSV file with readme.

Context

This data has been collected for research purposes. The google form was circulated through the peers.

Content

The headers of the column represent how daily routines are impacted by COVID-19.

Acknowledgements

We wouldn't be here without the help of a supervisor for this case study.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

The COVID-19 pandemic has emerged as a significant event of the current century, introducing substantial transformations in economic and social activities worldwide. The primary objective of this study is to investigate the relationship between daily COVID-19 cases and Pakistan stock market (PSX) return volatility. To assess the relationship between daily COVID-19 cases and the PSX return volatility, we collected secondary data from the World Health Organization (WHO) and the PSX website, specifically focusing on the PSX 100 index, spanning from March 15, 2020, to March 31, 2021. We used the GARCH family models for measuring the volatility and the COVID-19 impact on the stock market performance. Our E-GARCH findings show that there is long-term persistence in the return volatility of the stock market of Pakistan in the period of the COVID-19 timeline because ARCH alpha (ω1) and GARCH beta (ω2) are significant. Moreover, is asymmetrical effect is found in the stock market of Pakistan during the COVID-19 period due to Gamma (ѱ) being significant for PSX. Our DCC-GARCH results show that the COVID-19 active cases have a long-term spillover impact on the Pakistan stock market. Therefore, the need of strong planning and alternative platform should be needed in the distress period to promote the stock market and investor should advised to make diversified international portfolio by investing in high and low volatility stock market to save their income. This study advocated the implications for investors to invest in low volatility stock especially during the period of pandemics to protect their return on investment. Moreover, policy makers and the regulators can make effective policies to maintain financial stability during pandemics that is very important for the country’s economic development.

COVID-19 Confirmed Cases by Division and District, The Punjab

Accuracy of different time series models for cumulative confirmed cases.

The forecast results based on the average of 100 simulations.

Description of Covid-19 households and their index cases in Khyber Pakhtunkhwa and Punjab Province of Pakistan, May 17th, 2020—January 15th, 2021.